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ORCIDMuhammad Imran Razzak
Mohamed Imran Razzak – Imran Razzak
Person information
- affiliation: Deakin University, School of Information Technology, Geelong, Australia
- affiliation (PhD): University of Technology Sydney, Department of Information Technology, Sydney, Australia
- affiliation: King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- affiliation: King Saud University, Center of Excellence in Information Assurance, Riyadh, Saudi Arabia
- affiliation: Universiti Teknologi Malaysia, Center of Artificial Intelligence and Robotics, Malaysia
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Books and Theses
- 2020
[b2]Saad Bin Ahmed, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Script Text Recognition in Natural Scene Images - Arabic Text Complexities. Springer 2020, ISBN 978-981-15-1296-4, pp. 1-111- 2019
- [b1]Muhammad Imran Razzak:
Sparse Support Matrix Machines for the Classification of Corrupted Data. University of Technology Sydney, Australia, 2019
Journal Articles
- 2026
- [j146]Abdul Qayyum, Imran Razzak
, M. Tanveer, Ajay Kumar:
Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis. Ann. Oper. Res. 360(1): 289-309 (2026) - [j145]Yuxi Liu, Zhenhao Zhang, Mufan Qiu, Song Wang, Flora D. Salim, Jun Shen, Tianlong Chen, Imran Razzak, Fuyi Li, Jiang Bian:
GatorSC: multi-scale cell and gene graphs with mixture-of-experts fusion for single-cell transcriptomics. Briefings Bioinform. 27(3) (2026) - [j144]Abd Ur Rehman, Azka Rehman, Muhammad Umar Farooq, Taehyun Lee, Tariq Mahmood Khan, Imran Razzak, Sung-Min Gho, Aleum Lee, Dong-Kyu Chae, Muhammad Usman:
SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages. Internet Things 37: 101893 (2026) - [j143]Tariq Ali, Umar Draz, Imran Razzak, Mohammad Hijji, Sana Yasin, Muhammad Ayaz, Ashraf M. Marei:
Vision-driven collaborative path planning for autonomous multi-UAV swarms in maritime and coastal environments using deep reinforcement learning. Robotics Auton. Syst. 204: 105567 (2026) - [j142]Abdul Qayyum, Imran Razzak, Moona Mazher, Tariq Mahmood Khan, Weiping Ding, Steven A. Niederer:
Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation. IEEE J. Biomed. Health Informatics 30(2): 1039-1048 (2026) - [j141]Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak:
Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation. IEEE J. Biomed. Health Informatics 30(3): 1867-1875 (2026) - [j140]Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu:
Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels. World Wide Web (WWW) 29(3): 28 (2026) - 2025
- [j139]Muhammad Usman, Azka Rehman, Abd Ur Rehman, Abdullah Shahid, Tariq Mahmood Khan, Imran Razzak, Minyoung Chung, Yeong-Gil Shin:
Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation. Comput. Biol. Medicine 197: 111059 (2025) - [j138]Syed Tauhid Ullah Shah, Fazlullah Khan, Shirin Yamani, Ryan Alturki, Foziah Gazzawe, Muhammad Imran Razzak:
DSRS: DELIGHT sequential recommender system. Eng. Appl. Artif. Intell. 142: 109936 (2025) - [j137]Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. Medical Image Anal. 106: 103716 (2025) - [j136]Muhammad Zeeshan Khan, Duc Thanh Nguyen, Thanh Thi Nguyen, Anuroop Gaddam, Imran Razzak:
Multi-modality guided cross-attention for visual question answering. Multim. Tools Appl. 84(39): 47543-47565 (2025) - [j135]Zhen Yu, Ruiye Chen, Peng Gui, Wei Wang, Imran Razzak, Hamid Alinejad-Rokny, Xiaomin Zeng, Xianwen Shang, Lei Zhang, Xiaohong Yang, Honghua Yu, Wenyong Huang, Huimin Lu, Peter van Wijngaarden, Mingguang He, Zhuoting Zhu, Zongyuan Ge:
A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning. npj Digit. Medicine 8(1) (2025) - [j134]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings. IEEE Pervasive Comput. 24(1): 19-31 (2025) - 2024
- [j133]Zafar Saeed, Fozia Aslam, Adnan Ghafoor, Muhammad Umair, Imran Razzak:
Exploring the impact of SEO-based ranking factors for voice queries through machine learning. Artif. Intell. Rev. 57(6): 144 (2024) - [j132]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. 339(3): 1569-1587 (2024) - [j131]Hamza Farooq, Zuhair Zafar, Ahsan Saadat, Tariq Mahmood Khan, Shahzaib Iqbal, Imran Razzak:
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation. Artif. Intell. Medicine 158: 103012 (2024) - [j130]Asim Naveed, Syed Saud Naqvi, Shahzaib Iqbal, Imran Razzak, Haroon Ahmed Khan, Tariq Mahmood Khan:
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation. Cogn. Comput. 16(5): 2279-2296 (2024) - [j129]Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, Imran Razzak, Mohamed Abd Elfattah:
Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach. Digit. Commun. Networks 10(2): 404-415 (2024) - [j128]Asim Naveed, Syed Saud Naqvi, Tariq Mahmood Khan, Imran Razzak:
PCA: Progressive class-wise attention for skin lesions diagnosis. Eng. Appl. Artif. Intell. 127(Part B): 107417 (2024) - [j127]Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Nasrullah Khan, Yasir Hussain, Bentian Li, Tanzeela Kousar:
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks. Inf. Fusion 101: 102002 (2024) - [j126]Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Thanh Thi Nguyen, M. Tanveer, Arcot Sowmya:
Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. Inf. Fusion 102: 102061 (2024) - [j125]Abdul Qayyum, Imran Razzak, Moona Mazher, Xuequan Lu, Steven A. Niederer:
Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework. Inf. Fusion 106: 102226 (2024) - [j124]Moona Mazher, Imran Razzak, Abdul Qayyum, Muhammad Tanveer, Susann Beier, Tariq Mahmood Khan, Steven A. Niederer:
Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation. Inf. Fusion 106: 102256 (2024) - [j123]Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu:
Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. 23(1): 84-101 (2024) - [j122]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024) - [j121]Imran Razzak, Saeeda Naz, Hamid Alinejad-Rokny, Tu N. Nguyen, Fahmi Khalifa:
A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs. IEEE Trans. Comput. Biol. Bioinform. 21(4): 573-581 (2024) - [j120]Imran Razzak, Mohamed Reda Bouadjenek, Muhammad Aamir Cheema, Ibrahim A. Hameed, Guandong Xu, Amin Beheshti:
Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. IEEE Trans. Comput. Soc. Syst. 11(4): 4552-4555 (2024) - [j119]Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay:
Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. IEEE Trans. Engineering Management 71: 12475-12486 (2024) - [j118]Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee:
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE J. Biomed. Health Informatics 28(3): 1185-1194 (2024) - [j117]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics 28(4): 1815-1823 (2024) - [j116]Fahmi Khalifa, Imran Razzak, Mohammad Amjad Kamal, Ahmed Soliman:
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. IEEE J. Biomed. Health Informatics 28(4): 1883-1885 (2024) - [j115]Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Umar Zia, Shaharyar Kamal, Yasir Hussain:
A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features. IEEE J. Biomed. Health Informatics 28(6): 3228-3235 (2024) - [j114]Shahzaib Iqbal, Tariq Mahmood Khan, Syed Saud Naqvi, Asim Naveed, Muhammad Usman, Haroon Ahmed Khan, Imran Razzak:
LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices. IEEE J. Biomed. Health Informatics 28(7): 3860-3871 (2024) - [j113]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G., Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024) - [j112]Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak:
Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10764-10775 (2024) - [j111]Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak:
GRA: Graph Representation Alignment for Semi-Supervised Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11896-11905 (2024) - [j110]Imran Razzak, Mohamed Reda Bouadjenek, Raghib M. Abu-Saris, Weiping Ding:
Support Matrix Machine via Joint ℓ2,1 and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16341-16352 (2024) - [j109]Abdul Qayyum, Imran Razzak, Muhammad Tanveer, Moona Mazher:
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 43:1-43:17 (2024) - 2023
- [j108]Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak:
Review on chest pathogies detection systems using deep learning techniques. Artif. Intell. Rev. 56(11): 12607-12653 (2023) - [j107]Wu He, Guandong Xu, Imran Razzak:
Social responses to the COVID-19 pandemic. Behav. Inf. Technol. 42(2): 171-173 (2023) - [j106]Syed Saud Naqvi, Zubair Akhtar Langah, Haroon Ahmed Khan, Majid Iqbal Khan, Tariq Bashir, Muhammad Imran Razzak, Tariq Mahmood Khan:
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics. Cogn. Comput. 15(3): 932-942 (2023) - [j105]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction. Complex Intell. Syst. 9(1): 399-419 (2023) - [j104]Abdul Qayyum, Moona Mazher, Aliyu Nuhu, Abdesslam Benzinou, Aamir Saeed Malik, Imran Razzak:
Assessment of physiological states from contactless face video: a sparse representation approach. Computing 105(4): 761-781 (2023) - [j103]Tariq Mahmood Khan, Muhammad Arsalan, Imran Razzak, Erik Meijering:
Simple and robust depth-wise cascaded network for polyp segmentation. Eng. Appl. Artif. Intell. 121: 106023 (2023) - [j102]Zubair Sharif, Low Tang Jung, Imran Razzak, Mamoun Alazab:
Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing. IEEE Internet Things J. 10(4): 3079-3093 (2023) - [j101]Saiyed Umer, Alamgir Sardar, Ranjeet Kumar Rout, Muhammad Tanveer, Imran Razzak:
IoT-Enabled Multimodal Biometric Recognition System in Secure Environment. IEEE Internet Things J. 10(24): 21457-21466 (2023) - [j100]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Amin Beheshti:
3D shallow deep neural network for fast and precise segmentation of left atrium. Multim. Syst. 29(3): 1739-1749 (2023) - [j99]Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Xin-She Yang, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Seifedine Kadry, Imran Razzak:
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising. Neural Comput. Appl. 35(11): 7943-7962 (2023) - [j98]Nidal Nasser, Qazi Emad-ul-Haq, Muhammad Imran, Asmaa Ali, Imran Razzak, AbdulAziz Al-Helali:
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing. Neural Comput. Appl. 35(19): 13775-13789 (2023) - [j97]Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak, Muhammad Imran:
Automated methods for diagnosis of Parkinson's disease and predicting severity level. Neural Comput. Appl. 35(20): 14499-14534 (2023) - [j96]Abdul Qayyum, Mona Mazhar, Imran Razzak, Mohamed Reda Bouadjenek:
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions. Neural Comput. Appl. 35(22): 16143-16155 (2023) - [j95]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny:
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35(30): 22179-22188 (2023) - [j94]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. Neural Networks 165: 310-320 (2023) - [j93]Muhammad Arsalan, Tariq Mahmood Khan, Syed Saud Naqvi, Mehmood Nawaz, Imran Razzak:
Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net). IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1363-1371 (2023) - [j92]Abdul Qayyum, Imran Razzak, M. Tanveer, Moona Mazher, Bandar Alhaqbani:
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2587-2597 (2023) - [j91]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification. IEEE Trans. Comput. Soc. Syst. 10(3): 1140-1149 (2023) - [j90]Khan Md Hasib, Md. Rafiqul Islam, Shadman Sakib, Md. Ali Akbar, Imran Razzak, Mohammad Shafiul Alam:
Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey. IEEE Trans. Comput. Soc. Syst. 10(4): 1568-1586 (2023) - [j89]Ali Daud, Naveed Islam, Xin Li, Imran Razzak, Malik Khizar Hayat:
Identifying Rising Stars via Supervised Machine Learning. IEEE Trans. Comput. Soc. Syst. 10(5): 2374-2384 (2023) - [j88]Fazlullah Khan, Ryan Alturki, Md. Arafatur Rahman, Spyridon Mastorakis, Imran Razzak, Syed Tauhid Ullah Shah:
Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT. IEEE Trans. Ind. Informatics 19(1): 1030-1038 (2023) - [j87]Abdullah Lakhan, Mazin Abed Mohammed, Ahmed Noori Rashid, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak:
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things. IEEE J. Biomed. Health Informatics 27(2): 673-683 (2023) - [j86]Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. IEEE J. Biomed. Health Informatics 27(2): 684-690 (2023) - [j85]Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa:
Guest Editorial Open and Interpretable AI in Computational Pathology. IEEE J. Biomed. Health Informatics 27(4): 1657-1660 (2023) - [j84]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(10): 4995-5003 (2023) - [j83]Jia Hu, Kuljeet Kaur, Hui Lin, Xiaoding Wang, Mohammad Mehedi Hassan, Imran Razzak, Mohammad Hammoudeh:
Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(2): 2382-2391 (2023) - [j82]Francesco Schiliro, Nour Moustafa, Imran Razzak, Amin Beheshti:
DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. IEEE Trans. Intell. Transp. Syst. 24(7): 7485-7493 (2023) - [j81]Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, Flora D. Salim:
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. World Wide Web (WWW) 26(5): 3463-3481 (2023) - 2022
- [j80]Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access 10: 87900-87910 (2022) - [j79]Tariq Mahmood Khan, Mohammad A. U. Khan, Naveed ur Rehman, Khuram Naveed, Imran Uddin Afridi, Syed Saud Naqvi, Imran Razzak:
Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomed. Signal Process. Control. 71(Part): 103169 (2022) - [j78]Emad-ul-Haq Qazi, Muhammad Imran, Noman Haider, Muhammad Shoaib, Imran Razzak:
An intelligent and efficient network intrusion detection system using deep learning. Comput. Electr. Eng. 99: 107764 (2022) - [j77]Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, Muhammad Tanveer, Dechang Pi, Yue Pan, Bakht Sher Ali:
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. Future Gener. Comput. Syst. 127: 181-193 (2022) - [j76]Imran Razzak, Nour Moustafa, Shahid Mumtaz, Guandong Xu:
One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. Int. J. Intell. Syst. 37(8): 4515-4536 (2022) - [j75]Imran Razzak, Saeeda Naz, Abida Ashraf, Fahmi Khalifa, Mohamed Reda Bouadjenek, Shahid Mumtaz:
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. Int. J. Intell. Syst. 37(10): 6613-6630 (2022) - [j74]Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi:
A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. 59(1): 102755 (2022) - [j73]Abdul Qayyum, Imran Razzak, Nour Moustafa, Moona Mazher:
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children. Image Vis. Comput. 119: 104375 (2022) - [j72]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. Multim. Syst. 28(4): 1339-1371 (2022) - [j71]Hajer Ghodhbani, Mohamed Neji, Imran Razzak, Adel M. Alimi:
You can try without visiting: a comprehensive survey on virtually try-on outfits. Multim. Tools Appl. 81(14): 19967-19998 (2022) - [j70]Imran Razzak, Peter W. Eklund, Guandong Xu:
Improving healthcare outcomes using multimedia big data analytics. Neural Comput. Appl. 34(17): 15095-15097 (2022) - [j69]Rizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, Tariq Mahmood Khan, Imran Razzak:
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. Sensors 22(20): 8058 (2022) - [j68]Sajid Anwar, Abdul Rauf, Muhammad Ramzan, Imran Razzak, Mehrdad Saadatmand:
NLP-SEA 2021 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 47(2): 15-16 (2022) - [j67]Imran Razzak, Saeeda Naz:
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1225-1234 (2022) - [j66]Md. Abdur Rahim, Md. Arafatur Rahman, Md. Mustafizur Rahman, Nafees Zaman, Nour Moustafa, Imran Razzak:
An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health. IEEE Trans. Green Commun. Netw. 6(3): 1298-1306 (2022) - [j65]Imran Razzak, Guandong Xu, Muhammad Khurram Khan:
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics 18(5): 3449-3451 (2022) - [j64]Joseph Henry Anajemba, Celestine Iwendi, Imran Razzak, James Adu Ansere, Izuchukwu Michael Okpalaoguchi:
A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications. IEEE Trans. Ind. Informatics 18(9): 6445-6454 (2022) - [j63]Iman Beheshti, M. A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, Muhammad Tanveer:
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. IEEE J. Biomed. Health Informatics 26(4): 1432-1440 (2022) - [j62]Muhammad Tanveer, Ashraf Haroon Rashid, M. A. Ganaie, Motahar Reza, Imran Razzak, Kai-Lung Hua:
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. IEEE J. Biomed. Health Informatics 26(4): 1453-1463 (2022) - [j61]Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Bianca Dy, Jun-Cheng Chen, Mohammad Tanveer, Imran Razzak, Kai-Lung Hua:
Lightweight Face Anti-Spoofing Network for Telehealth Applications. IEEE J. Biomed. Health Informatics 26(5): 1987-1996 (2022) - [j60]Mahmuda Akter, Nour Moustafa, Timothy M. Lynar, Imran Razzak:
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. IEEE J. Biomed. Health Informatics 26(12): 5805-5816 (2022) - [j59]Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Imran Razzak, Karam M. Sallam, Osama M. Elkomy:
Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(3): 2523-2537 (2022) - [j58]Zhili Zhou, Akshat Gaurav, Brij Bhooshan Gupta, Miltiadis D. Lytras, Imran Razzak:
A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System. IEEE Trans. Intell. Transp. Syst. 23(7): 9726-9735 (2022) - [j57]Mohiuddin Ahmed, Nour Moustafa, A. F. M. Suaib Akhter, Imran Razzak, Ehsanuzzaman Surid, Adnan Anwar, A. F. M. Shahen Shah, Ahmet Zengin:
A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET. IEEE Trans. Intell. Transp. Syst. 23(10): 19624-19633 (2022) - [j56]Md. Arafatur Rahman, Md. Abdur Rahim, Md. Mustafizur Rahman, Nour Moustafa, Imran Razzak, Tanvir Ahmad, Mohammad N. Patwary:
A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics. IEEE Trans. Intell. Transp. Syst. 23(10): 19727-19742 (2022) - [j55]Md. Arafatur Rahman, Marufa Yasmin Mukta, A. Taufiq Asyhari, Nour Moustafa, Mohammad N. Patwary, Abu Yousuf, Imran Razzak, Brij B. Gupta:
Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management. IEEE Trans. Intell. Transp. Syst. 23(12): 23771-23780 (2022) - [j54]Sara Salim, Nour Moustafa, Benjamin P. Turnbull, Imran Razzak:
Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 120:1-120:19 (2022) - [j53]Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - 2021
- [j52]Muhammad Zeeshan Khan, Muhammad Usman Ghani Khan, Tanzila Saba, Imran Razzak, Amjad Rehman, Saeed Ali Bahaj:
Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision. IEEE Access 9: 100040-100049 (2021) - [j51]Deepak Kumar Sharma, Tarun Dhankhar, Gaurav Agrawal, Satish Kumar Singh, Deepak Gupta, Jamel Nebhen, Imran Razzak:
Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks. Ad Hoc Networks 121: 102603 (2021) - [j50]Amir Afaq, Noman Haider, Muhammad Zeeshan Baig, Komal Saifullah Khan, Muhammad Imran, Imran Razzak:
Machine learning for 5G security: Architecture, recent advances, and challenges. Ad Hoc Networks 123: 102667 (2021) - [j49]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(4): 328-329 (2021) - [j48]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(5): 406-407 (2021) - [j47]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(6): 411-412 (2021) - [j46]Brij B. Gupta, Krishna Yadav, Imran Razzak, Konstantinos E. Psannis, Arcangelo Castiglione, Xiaojun Chang:
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. Comput. Commun. 175: 47-57 (2021) - [j45]Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Ahmad Hani El Fawal, Imran Razzak:
Ground target finding mechanism for unmanned aerial vehicles to secure crop field data. Trans. Emerg. Telecommun. Technol. 32(3) (2021) - [j44]Shah Khalid Khan, Usman Naseem, Haris Siraj, Imran Razzak, Muhammad Imran:
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. Trans. Emerg. Telecommun. Technol. 32(7) (2021) - [j43]Iqra Kamran, Saeeda Naz, Imran Razzak, Muhammad Imran:
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease. Future Gener. Comput. Syst. 117: 234-244 (2021) - [j42]Waqas Yousaf, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka:
Patch-CNN: Deep learning for logo detection and brand recognition. J. Intell. Fuzzy Syst. 40(3): 3849-3862 (2021) - [j41]Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad:
Deep transfer learning for alzheimer neurological disorder detection. Multim. Tools Appl. 80(20): 30117-30142 (2021) - [j40]Usman Naseem, Imran Razzak, Peter W. Eklund:
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter. Multim. Tools Appl. 80(28-29): 35239-35266 (2021) - [j39]Muhammad Usama, Qutaibah M. Malluhi, Nordin Zakaria, Imran Razzak, Waheed Iqbal:
An efficient secure data compression technique based on chaos and adaptive Huffman coding. Peer-to-Peer Netw. Appl. 14(5): 2651-2664 (2021) - [j38]Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Zubair Sharif, Imran Razzak:
Cloud-connected flying edge computing for smart agriculture. Peer-to-Peer Netw. Appl. 14(6): 3405-3415 (2021) - [j37]Riaz Ahmad, Saeeda Naz, Imran Razzak:
Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms. Pattern Recognit. Lett. 152: 93-99 (2021) - [j36]Asad Masood Khattak, Anam Habib, Muhammad Zubair Asghar, Fazli Subhan, Imran Razzak, Ammara Habib:
Applying deep neural networks for user intention identification. Soft Comput. 25(3): 2191-2220 (2021) - [j35]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(5): 74:1-74:35 (2021) - [j34]Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j33]Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - 2020
- [j32]Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad:
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13(9): 215 (2020) - [j31]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, Muhammad Imran:
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning. Circuits Syst. Signal Process. 39(2): 757-775 (2020) - [j30]Saeeda Naz, Naila Habib Khan, Shizza Zahoor, Muhammad Imran Razzak:
Deep OCR for Arabic script-based language like Pastho. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j29]Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu:
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. Future Gener. Comput. Syst. 112: 715-723 (2020) - [j28]Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran:
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. 113: 58-69 (2020) - [j27]Shizza Zahoor, Saeeda Naz, Naila Habib Khan, Muhammad Imran Razzak:
Deep optical character recognition: a case of Pashto language. J. Electronic Imaging 29(2): 023002 (2020) - [j26]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Big data analytics for preventive medicine. Neural Comput. Appl. 32(9): 4417-4451 (2020) - [j25]Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451 (2020) - 2019
- [j24]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Ibrahim A. Hameed:
Automatic Visual Features for Writer Identification: A Deep Learning Approach. IEEE Access 7: 17149-17157 (2019) - [j23]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Bte Yusof:
A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. IEEE Access 7: 19801-19820 (2019) - [j22]Saad Bin Ahmed, Ibrahim A. Hameed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. IEEE Access 7: 153566-153578 (2019) - [j21]Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. Aust. J. Intell. Inf. Process. Syst. 15(3): 53-60 (2019) - [j20]Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. Aust. J. Intell. Inf. Process. Syst. 15(3): 69-76 (2019) - [j19]Imran Razzak, Usman Naseem, Saeeda Naz, Ibrahim A. Hameed:
Nuclear Norm Minimization in Frequency Domain for Complex Noise. Aust. J. Intell. Inf. Process. Syst. 16(2): 69-77 (2019) - [j18]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 29-38 (2019) - [j17]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu:
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. Expert Syst. Appl. 136: 115-132 (2019) - [j16]Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu:
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. J. Grid Comput. 17(2): 279-312 (2019) - [j15]Muhammad Zubair Asghar, Muhammad Imran Razzak, Shafqat Mumtaz Virk:
A Special Section on Social Computing in Health Informatics. J. Medical Imaging Health Informatics 9(6): 1167-1170 (2019) - [j14]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak:
Writer identification using machine learning approaches: a comprehensive review. Multim. Tools Appl. 78(8): 10889-10931 (2019) - [j13]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput. Appl. 31(4): 1143-1151 (2019) - [j12]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks. IEEE J. Biomed. Health Informatics 23(5): 1911-1919 (2019) - 2018
- [j11]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak, Ahmad Zaib:
Extreme learning machine based microscopic red blood cells classification. Clust. Comput. 21(1): 691-701 (2018) - 2017
- [j10]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak, Arif Iqbal Umar:
UCOM offline dataset-an urdu handwritten dataset generation. Int. Arab J. Inf. Technol. 14(2): 239-245 (2017) - [j9]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed, Muhammad Imran Razzak, Faisal Shafait:
Urdu Nastaliq recognition using convolutional-recursive deep learning. Neurocomputing 243: 80-87 (2017) - [j8]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak:
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Comput. Appl. 28(2): 219-231 (2017) - 2016
- [j7]Saeeda Naz, Arif Iqbal Umar, Syed Hamad Shirazi, Saad Bin Ahmed, Muhammad Imran Razzak, Imran Siddiqi:
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. Educ. Inf. Technol. 21(5): 1225-1241 (2016) - [j6]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Imran Siddiqi, Muhammad Imran Razzak:
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. Neurocomputing 177: 228-241 (2016) - [j5]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Shiekh Faisal Rashid, Muhammad Zeeshan Afzal, Thomas M. Breuel:
Evaluation of cursive and non-cursive scripts using recurrent neural networks. Neural Comput. Appl. 27(3): 603-613 (2016) - 2015
- [j4]Muhammad Imran Razzak, Bandar Alhaqbani:
Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling. Neural Comput. Appl. 26(5): 1117-1127 (2015) - 2014
- [j3]Saeeda Naz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Sajjad Ahmad Madani, Samee Ullah Khan:
The optical character recognition of Urdu-like cursive scripts. Pattern Recognit. 47(3): 1229-1248 (2014) - 2011
- [j2]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar, Jong Hyuk Park:
Energy Efficient Distributed Face Recognition in Wireless Sensor Network. Wirel. Pers. Commun. 60(3): 571-582 (2011) - 2010
- [j1]Muhammad Imran Razzak, Fareeha Anwar, S. Afaq Husain, Abdel Belaïd, Muhammad Sher:
HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition. Knowl. Based Syst. 23(8): 914-923 (2010)
Conference and Workshop Papers
- 2026
- [c132]Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes:
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging. AAAI 2026: 7901-7909 - [c131]Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li:
Data-Centric Sequential Recommendation with Relation-Augmented Generation. AAAI 2026: 15162-15170 - [c130]Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak:
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning. AAAI 2026: 23256-23264 - [c129]Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak:
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning. AAAI 2026: 23855-23863 - [c128]Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak:
Long Context Modeling with Ranked Memory-Augmented Retrieval. ACL (1) 2026: 3576-3590 - [c127]Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Zongyuan Ge, Yutong Xie, Imran Razzak:
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. ACL (Findings) 2026: 15428-15445 - [c126]Nazira Dunbayeva, Yulong Li, Yutong Xie, Imran Razzak:
A Machine Learning Approach to Predict Biological Age and Its Longitudinal Drivers. BIOSTEC (2) 2026: 517-526 - [c125]Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su:
CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility. KDD (1) 2026: 2723-2734 - [c124]Ubaid Azam, Imran Razzak, Shoaib Jameel:
Lightweight Cross-Lingual Federated Prompt Tuning for Low-Resource Languages. LREC 2026: 3304-3316 - [c123]Niranjana Arun Menon, Md. Rafiqul Islam, Mohamed Reda Bouadjenek, Shoaib Jameel, Eran Segal, Imran Razzak:
Exploring the Influence of Lifestyle, Social Health, and Demographic Factors on Psychological Well-being and Engagement Levels. WWW (Companion Volume) 2026: 926-934 - [c122]Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak:
Towards Robust Heterogeneous Graph Explanations under Structural Perturbations. WWW 2026: 1262-1273 - [c121]Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim:
Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval. WWW 2026: 4460-4471 - [c120]Yulong Li, Zhixiang Lu, Peixin Guo, Simin Lai, Yuxuan Zhang, Haochen Xue, Xiwei Liu, Yichen Li, Zhaodong Wu, Feilong Tang, Mian Zhou, Chong Li, Imran Razzak, Qingxia Li, Jionglong Su:
Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation. WWW 2026: 4611-4622 - [c119]Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang:
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia. WWW 2026: 9101-9112 - 2025
- [c118]Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao:
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. ACL (1) 2025: 22477-22503 - [c117]Abdulsalam obaid Alharbi, Shoaib Jameel, Basem Suleiman, Imran Razzak:
Enhancing Large Language Models for Arabic Dialects Using Knowledge-Based Rethinking and Contrastive Learning. ASONAM (3) 2025: 120-129 - [c116]Zhijin Meng, Mohammed Althubyani, Shengyuan Xie, Imran Razzak, Eduardo B. Sandoval, Mahdi Bamdad, Francisco Cruz:
PERCY: Personal Emotional Robotic Conversational System. AI (2) 2025: 466-478 - [c115]Yuxuan Zhang, Yulong Li, Feilong Tang, Zichen Yu, Ming Hu, Zhixiang Lu, Haochen Xue, Zhaodong Wu, Kang Dang, Imran Razzak, Jionglong Su:
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. AVSS 2025: 1-6 - [c114]Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Yingzhen Hu, Zelin Peng, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak:
PG-SAM: A Fine-Grained Prior-Guided SAM Framework for Prompt-Free Medical Image Segmentation. BIBM 2025: 3369-3376 - [c113]Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, Imran Razzak:
How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction? BIBM 2025: 7625-7632 - [c112]Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky:
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification. IEEE Big Data 2025: 3285-3294 - [c111]Mohammed Althubyani, Zhijin Meng, Shengyuan Xie, Francisco Cruz, Imran Razzak, Mukesh Prasad, Eduardo B. Sandoval, A. Baki Kocaballi:
MERCI: A Multimodal Dataset for Personalised and Emotionally-Aware Dialogues. CBMI 2025: 1-7 - [c110]Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel:
EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CIKM 2025: 2577-2587 - [c109]Abdulsalam obaid Alharbi, Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Usman Naseem, Shoaib Jameel, Salil S. Kanhere, Imran Razzak:
Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects. COLING Workshops 2025: 95-103 - [c108]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Shoaib Jameel:
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. COLING 2025: 1438-1450 - [c107]Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem, Basem Suleiman, Shoaib Jameel, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. COLING 2025: 6244-6254 - [c106]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 2025: 26147-26159 - [c105]Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem:
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. EMNLP (Findings) 2025: 24245-24260 - [c104]Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie:
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. EMNLP 2025: 33495-33512 - [c103]Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu:
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. ICCVW 2025: 5610-5619 - [c102]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel:
LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. ICME 2025: 1-6 - [c101]Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song:
RipGAN: A GAN-Based Rip Current Data Augmentation Method. ICRA 2025: 12752-12758 - [c100]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel:
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. IJCNN 2025: 1-8 - [c99]Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su:
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. MICCAI (2) 2025: 378-388 - [c98]Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak:
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. MICCAI (8) 2025: 447-456 - [c97]Yulong Li, Yuxuan Zhang, Rui Chen, Feilong Tang, Zhixiang Lu, Ming Hu, Jianghao Wu, Haochen Xue, Mian Zhou, Chong Li, Jionglong Su, Imran Razzak:
Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis. ACM Multimedia 2025: 12651-12658 - [c96]Sara Atito, Josef Kittler, Imran Razzak, Muhammad Awais:
CG-SSL: Concept-Guided Self-Supervised Learning. NeurIPS 2025 - [c95]Ankan Deria, Adinath Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak:
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning. NeurIPS 2025 - [c94]Ming Hu, Zhengdi Yu, Feilong Tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kaijing Zhou, Zongyuan Ge:
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. NeurIPS 2025 - [c93]Yulong Li, Xiwei Liu, Feilong Tang, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak, Eran Segal:
Decoding Causal Structure: End-to-End Mediation Pathways Inference. NeurIPS 2025 - [c92]Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel:
CALM: Culturally Self-Aware Language Models. NeurIPS 2025 - [c91]Feilong Tang, Xiang An, Haolin Yang, Yin Xie, Kaicheng Yang, Ming Hu, Zheng Cheng, Xingyu Zhou, Zimin Ran, Imran Razzak, Ziyong Feng, Behzad Bozorgtabar, Jiankang Deng, Zongyuan Ge:
UniViT: Unifying Image and Video Understanding in One Vision Encoder. NeurIPS 2025 - [c90]Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi:
Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. SMC 2025: 1244-1251 - [c89]Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen:
The Emergence of Deep Reinforcement Learning for Path Planning. SMC 2025: 6265-6272 - [c88]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. WSDM 2025: 382-391 - [c87]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel:
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. WSDM 2025: 586-595 - [c86]Lei Wang, Md. Zakir Hossain, Syed M. S. Islam, Tom Gedeon, Sharifa Alghowinem, Isabella Yu, Serena Bono, Xuanying Zhu, Gennie Nguyen, Nur Al Hasan Haldar, Seyed Mohammad Jafar Jalali, Md. Abdur Razzaque, Imran Razzak, Md. Rafiqul Islam, Shahadat Uddin, Naeem Janjua, Aneesh Krishna, Manzur Ashraf:
TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation. WWW (Companion Volume) 2025: 1848-1851 - [c85]Shuvam Shiwakoti, Siddhant Bikram Shah, Wei Wang, Surendrabikram Thapa, Imran Razzak, Usman Naseem:
BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection. WWW (Companion Volume) 2025: 1938-1945 - [c84]Pratham Grover, Vijayrajsinh Gohil, Bhavya Goel, Hariram Veeramani, Siddhant Bikram Shah, Sandesh Rajendra Jain, Surendrabikram Thapa, Imran Razzak, Usman Naseem:
PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict. WWW (Companion Volume) 2025: 1969-1978 - [c83]Ilya Stepanov, Junaid Rashid, Jong Weon Lee, Salman Naseem, Imran Razzak:
CBRCL: A CLIP-BERT with Retrieval-Guided Contrastive Learning Multimodal Approach for Crisis-Driven Hate Speech Detection. WWW (Companion Volume) 2025: 1993-1999 - [c82]Surendrabikram Thapa, Hariram Veeramani, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem:
Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding. WWW (Companion Volume) 2025: 2042-2051 - [c81]Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem:
KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. WWW (Companion Volume) 2025: 2071-2077 - [c80]Abdulrahman Abdullah Alalawi, Abdullah Alsuhaibani, Usman Naseem, Basem Suleiman, Shoaib Jameel, Imran Razzak:
Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. WWW (Companion Volume) 2025: 2592-2596 - [c79]Shuvam Shiwakoti, Siddhant Bikram Shah, Imran Razzak, Surendrabikram Thapa, Usman Naseem:
Addressing the Challenges of Mental Health Conversations with Large Language Models. WWW (Companion Volume) 2025: 2597-2602 - [c78]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim:
Brick-by-Brick: Cyber-Physical Building Data Classification Challenge. WWW (Companion Volume) 2025: 3021-3025 - [c77]Jinglin Sun, Basem Suleiman, Imdad Ullah, Imran Razzak:
Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis. WWW 2025: 5224-5233 - 2024
- [c76]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. AAAI 2024: 12883-12891 - [c75]Surendrabikram Thapa, Surabhi Adhikari, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem:
Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations. ASONAM (2) 2024: 331-342 - [c74]Abdul Qayyum, Moona Mazher, Angela W. C. Lee, José Alonso Solís-Lemus, Imran Razzak, Steven A. Niederer:
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. AI (2) 2024: 432-442 - [c73]Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem:
SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. IEEE Big Data 2024: 660-669 - [c72]Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem:
THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. IEEE Big Data 2024: 6538-6546 - [c71]Mohammad Asjad, Abdul Qayyum, Moona Mazher, Usman Naseem, Tariq Mahmood Khan, Steven A. Niederer, Imran Razzak:
Federated Focal Modulated UNet for Cardiovascular Image Segmentation. IEEE Big Data 2024: 7842-7848 - [c70]Mahrukh Siddiqui, Shahzaib Iqbal, Bandar Alhaqbani, Bandar AlShammari, Tariq Mahmood Khan, Imran Razzak:
A Robust Algorithm for Contactless Fingerprint Enhancement and Matching. DICTA 2024: 214-220 - [c69]Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood, Tariq Mahmood Khan, Imran Razzak:
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation. DICTA 2024: 313-320 - [c68]Muhammad Zafar Iqbal, Anwaar Ulhaq, Imran Razzak:
Unsupervised Nonlinear Deformable Registration Network for 4D CT Lung Imaging. DICTA 2024: 593-599 - [c67]Inzela Mirza, Shahzaib Iqbal, Bandar Alhaqbani, Bandar AlShammari, Tariq Mahmood Khan, Imran Razzak:
ShadowNets: Efficient and Accurate Face Recognition for Resource-Constrained Devices. DICTA 2024: 752-758 - [c66]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. ICDM (Workshops) 2024: 891-894 - [c65]Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. ICDM (Workshops) 2024: 907-911 - [c64]Tariq Mahmood Khan, Shahzaib Iqbal, Syed Saud Naqvi, Imran Razzak, Erik Meijering:
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network For Multifeatures Segmentation. ICIP 2024: 2807-2813 - [c63]Anum Masood, Usman Naseem, Junaid Rashid, Imran Razzak:
Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. ISBI 2024: 1-4 - [c62]Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal, Bandar Alshammari, Bandar Alhaqbani, Imran Razzak:
Latent fingerprint enhancement for accurate minutiae detection. KES 2024: 1558-1567 - [c61]Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang:
MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine. MCHM@MM 2024: 1 - [c60]Di Shao, Xiao Liu, Imran Razzak, Nilmini Wickramasinghe, Xuequan Lu:
Contrastive Learning with Self-reconstruction for 3D Intracranial Aneurysm Detection. MCHM@MM 2024: 44-52 - [c59]Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer:
Efficient Deep Learning Models for Evaluating the Progression of Age-Related Macular Degeneration Through Optical Coherence Tomography. DIAMOND/MARIO@MICCAI 2024: 135-144 - [c58]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
Building Timeseries Dataset: Empowering Large-Scale Building Analytics. NeurIPS 2024 - [c57]Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang:
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. NeurIPS 2024 - [c56]Tanya Boone-Sifuentes, Asef Nazari, Mohamed Reda Bouadjenek, Imran Razzak:
MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification. PAKDD (3) 2024: 385-396 - [c55]Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu:
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) 2024: 60-75 - [c54]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. WISE (4) 2024: 326-337 - [c53]Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Aditya Shah, Imran Razzak, Usman Naseem:
Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification. WISE (5) 2024: 391-405 - [c52]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM 2024: 18-27 - [c51]Shijing Chen, Usman Naseem, Imran Razzak, Flora D. Salim:
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. WWW (Companion Volume) 2024: 1864-1871 - 2023
- [c50]Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer:
Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium. DICTA 2023: 9-15 - [c49]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation. DICTA 2023: 160-167 - [c48]Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Tariq Mahmood Khan, Arcot Sowmya:
Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities. DICTA 2023: 441-447 - [c47]Thanh Thi Nguyen, Minh Cuong Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi:
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) 2023: 298-305 - [c46]Oluwatunmise Akinniyi, Imran Razzak, Md Mahmudur Rahman, Harpal Sandhu, Ayman El-Baz, Fahmi Khalifa:
Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework. ICIP 2023: 1945-1949 - [c45]Anum Masood, Usman Naseem, Imran Razzak:
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. ISBI 2023: 1-5 - 2022
- [c44]Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak:
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. CASE@EMNLP 2022: 1-6 - [c43]Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Asef Nazari:
A Mask-based Output Layer for Multi-level Hierarchical Classification. CIKM 2022: 3833-3837 - [c42]Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh:
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. CIKM 2022: 3838-3842 - [c41]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. ICANN (2) 2022: 136-147 - [c40]Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Imran Razzak, Gediminas Kostkevicius, Domantas Ozerenskis:
Anatomical Landmarks Localization for 3D Foot Point Clouds. ICONIP (3) 2022: 627-638 - [c39]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Ali Hassani, Imran Razzak, Kevin Lee, Chetan Arora, Arkady B. Zaslavsky:
Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment. MDM 2022: 318-321 - [c38]Abdul Qayyum, Moona Mazher, Steven A. Niederer, Imran Razzak:
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. CuRIOUS/KiPA/MELA@MICCAI 2022: 55-62 - [c37]Abdul Qayyum, Moona Mazher, Steven A. Niederer, Fabrice Mériaudeau, Imran Razzak:
Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation. STACOM@MICCAI 2022: 485-493 - 2021
- [c36]Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu:
ExVis: Explainable Visual Decision Support System for Risk Management. BESC 2021: 1-5 - [c35]Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh:
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. IJCNN 2021: 1-7 - [c34]Atish Kumar Dipongkor, Md. Saiful Islam, Humayun Kayesh, Md. Shafaeat Hossain, Adnan Anwar, Khandaker Abir Rahman, Imran Razzak:
DAAB: Deep Authorship Attribution in Bengali. IJCNN 2021: 1-9 - [c33]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c32]Iram Jawad, Jawad Ahmed, Imran Razzak, Robin Doss:
Identifying DNS Exfiltration based on Lexical Attributes of Query Name. IJCNN 2021: 1-7 - [c31]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Riyad Alshammari:
An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium. IJCNN 2021: 1-8 - [c30]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [c29]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN 2021: 1-6 - [c28]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - 2020
- [c27]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c26]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak:
EveSense: What Can You Sense from Twitter? ECIR (2) 2020: 491-495 - [c25]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. ICONIP (5) 2020: 172-179 - [c24]Abdul Qayyum, Imran Razzak, Wajid Mumtaz:
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. ICONIP (3) 2020: 245-257 - [c23]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning. ICONIP (1) 2020: 776-785 - [c22]Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN 2020: 1-6 - [c21]Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad:
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN 2020: 1-8 - [c20]Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial:
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN 2020: 1-7 - [c19]Imran Razzak:
Cooperative Evolution Multiclass Support Matrix Machines. IJCNN 2020: 1-8 - [c18]Imran Razzak, Tariq Mahmood Khan:
One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection. IJCNN 2020: 1-8 - [c17]Imran Razzak, Iqra Kamran, Saeeda Naz:
Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. IJCNN 2020: 1-6 - [c16]Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan:
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. IJCNN 2020: 1-8 - [c15]Syeda Alleena Riaz, Saeeda Naz, Imran Razzak:
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. IJCNN 2020: 1-7 - [c14]Abdul Qayyum, Imran Razzak:
Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition. S+SSPR 2020: 282-291 - 2019
- [c13]Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed:
Hybrid Words Representation for Airlines Sentiment Analysis. Australasian Conference on Artificial Intelligence 2019: 381-392 - 2018
- [c12]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. ICONIP (1) 2018: 307-318 - [c11]Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. IJCNN 2018: 1-7 - [c10]Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu:
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. PAKDD (2) 2018: 534-545 - 2017
- [c9]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep learning based isolated Arabic scene character recognition. ASAR 2017: 46-51 - [c8]Muhammad Imran Razzak, Saeeda Naz:
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning. CVPR Workshops 2017: 801-807 - 2016
- [c7]Saad Bin Ahmed, Muhammad Imran Razzak, Bandar Alhaqbani:
The Minutiae Based Latent Fingerprint Recognition System. ICC 2016 2016: 49:1-49:9 - [c6]Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak:
Zoning Features and 2DLSTM for Urdu Text-line Recognition. KES 2016: 16-22 - [c5]Mohammad Waqialla, Muhammad Imran Razzak:
An Ontology-based Framework Aiming to Support Cardiac Rehabilitation Program. KES 2016: 23-32 - 2015
- [c4]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak:
Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation. IWBBIO (1) 2015: 183-192 - 2010
- [c3]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar, Rubiyah Yousaf:
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace. CIT 2010: 1407-1412 - [c2]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar:
Contactless Biometrics in Wireless Sensor Network: A Survey. FGIT-SecTech/DRBC 2010: 236-243 - [c1]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar:
Bio-inspired Hybrid Face Recognition System for Small Sample Size and Large Dataset. IIH-MSP 2010: 384-388
Parts in Books or Collections
- 2019
- [p2]Sana Saeed, Saeeda Naz, Muhammad Imran Razzak:
An Application of Deep Learning in Character Recognition: An Overview. Handbook of Deep Learning Applications 2019: 53-81 - 2014
- [p1]Abdel Belaïd, Mohamed Imran Razzak:
Middle Eastern Character Recognition. Handbook of Document Image Processing and Recognition 2014: 427-457
Editorship
- 2024
- [e3]Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang:
Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, MCHM 2024, Melbourne VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1195-4 [contents] - 2017
- [e2]Yves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Müller, Imran Razzak, Hao Chen, Yanhui Gu:
2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017. IEEE 2017, ISBN 978-1-5386-2365-7 [contents] - [e1]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Imran Razzak, Riyad Alshammari:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV. Lecture Notes in Computer Science 10680, Springer 2017, ISBN 978-3-662-56120-1 [contents]
Informal and Other Publications
- 2026
- [i139]Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel:
CALM: Culturally Self-Aware Language Models. CoRR abs/2601.03483 (2026) - [i138]Ankan Deria, Komal Kumar, Adinath Madhavrao Dukre, Eran Segal, Salman Khan, Imran Razzak:
MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images. CoRR abs/2602.06965 (2026) - [i137]Muhammad Zafar Iqbal, Ghazanfar Farooq Siddiqui, Anwar Ul Haq, Imran Razzak:
Attention-Driven Framework for Non-Rigid Medical Image Registration. CoRR abs/2602.07088 (2026) - [i136]Behzad Bozorgtabar, Dwarikanath Mahapatra, Sudipta Roy, Muzammal Naseer, Imran Razzak, Zongyuan Ge:
LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs. CoRR abs/2602.17535 (2026) - [i135]Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo, Rong Xia, Zhixiang Lu, Yichen Li, Xinlin Zhuang, Niranjana Arun Menon, Yutong Xie, Eran Segal, Imran Razzak:
DoAtlas-1: A Causal Compilation Paradigm for Clinical AI. CoRR abs/2602.19158 (2026) - [i134]Dalia Nahhas, Xiaohao Cai, Imran Razzak, Shoaib Jameel:
Mitigating Preference Leakage via Strict Estimator Separation for Normative Generative Ranking. CoRR abs/2602.20800 (2026) - [i133]Tong Wang, Yaolei Qi, Siwen Wang, Imran Razzak, Guanyu Yang, Yutong Xie:
CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation. CoRR abs/2602.22821 (2026) - [i132]Xiwei Liu, Yulong Li, Xinlin Zhuang, Xuhui Li, Jianxu Chen, Haolin Yang, Imran Razzak, Yutong Xie:
ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models. CoRR abs/2603.01124 (2026) - [i131]Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak:
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning. CoRR abs/2603.01632 (2026) - [i130]Atharva Rege, Adinath Madhavrao Dukre, Numan Balci, Dwarikanath Mahapatra, Imran Razzak:
TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis. CoRR abs/2603.19386 (2026) - [i129]Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang:
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia. CoRR abs/2603.19931 (2026) - [i128]Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak:
VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs. CoRR abs/2603.20314 (2026) - [i127]Ankan Deria, Komal Kumar, Xilin He, Imran Razzak, Hisham Cholakkal, Fahad Shahbaz Khan, Salman Khan:
CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning. CoRR abs/2604.03231 (2026) - [i126]Mohammad Anas Azeez, Ankan Deria, Zohaib Hasan Siddiqui, Adinath Madhavrao Dukre, Rafiq Ali, Sara Atito, Yutong Xie, Imran Razzak:
See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment. CoRR abs/2604.09749 (2026) - [i125]Ruiyi Yang, Zechen Li, Hao Xue, Imran Razzak, Flora D. Salim:
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs. CoRR abs/2605.10064 (2026) - [i124]Ahmed Heakl, Youssef Mohamed, Muhammad Abdullah Sohail, Rania Elbadry, Ahmed Nassar, Peter W. J. Staar, Fahad Shahbaz Khan, Imran Razzak, Salman Khan:
DocAtlas: Multilingual Document Understanding Across 80+ Languages. CoRR abs/2605.12623 (2026) - [i123]Marawan Elbatel, Mohamed Ghonim, Jiaji Mao, Zhuosheng Lin, Katharina Eckstein, Andrés Martínez Mora, Jonathan Deissler, Maximilian Rokuss, Constantin Ulrich, Zdravko Marinov, Wenhui Deng, Baoxun Li, Huijun Hu, Jun Shen, Mohanad Ghonim, Khadiga Omar Nassar, Hazem M. El-Bakry, Menna Dyab, Amr Muhammad Abdo-Salem, Nouran Elghitany, Noha Elghitany, Yi Qin, Xuanqi Huang, Haonan Wang, Shao-Woo Yen, Ahmed Elghamry Saba, Salma Ahmad, Xinyan Fang, Jiahao Zhang, Xiaodi Wang, Xinghua Ma, Gongning Luo, Jessica C. Delmoral, João Manuel R. S. Tavares, Ankan Deria, Adinath Dukre, Yutong Xie, Imran Razzak, Dongwook Kim, Matthew Choi, Hanxiao Zhang, Minghui Zhang, Xin You, Abdul Qayyum, Steven A. Niederer, Moona Mazher, Rachika E. Hamadache, Ricardo Montoya-del-Angel, Robert Martí, Xavier Lladó, Toufiq Musah, Livingstone Eli Ayivor, Enrique Almar-Munoz, Agnes Mayr, Kaouther Mouheb, Esther E. Bron, Stefan Klein, Ahmed Abouelhoda, Amira Adel, Susan Adil Ali, Rainer Stiefelhagen, Klaus H. Maier-Hein, Fabian Isensee, Aya Yassin, Xiaomeng Li:
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT. CoRR abs/2605.16572 (2026) - [i122]Xinlin Zhuang, Panyi Ouyang, Yichen Li, Jiangming Shi, Yizhang Chen, Shuman Liu, Ying Qian, Weiyang Liu, Haibo Zhang, Imran Razzak:
AMO: Adaptive Muon Orthogonalization. CoRR abs/2605.17806 (2026) - [i121]Tariq Mahmood Khan, Syed Saud Naqvi, Thantrira Porntaveetus, Hamid Alinejad-Rokny, Shahzaib Iqbal, Imran Razzak, Mohammad Asmat Ullah Khan:
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models. CoRR abs/2606.06103 (2026) - [i120]Marc Aubreville, Jonas Ammeling, Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan, Robert Klopfleisch, Jiaqi Lv, Shan E Ahmed Raza, Raphaël Bourgade, Thomas Walter, Yasemin Topuz, Songül Varli, Charles-Antoine Collins-Fekete, Zhuoyan Shen, Navya Sri Kelam, Nitin Singhal, Christian Marzahl, Brian Napora, Tengyou Xu, Hongyan Gu, Mario Vento, Gennaro Percannella, Norbert Ropiak, Izabela Wasiak, Jie Xiao, Shaojun Liu, Seungho Choe, April Khademi, Vidushi Walia, Sujatha Kotte, Andrew Broad, Alex Wright, Guillaume Balezo, Esha Sadia Nasir, Mostafa Jahanifar, Yosuke Yamagishi, Shouhei Hanaoka, Mattia Sarno, Francesco Tortorella, Biwen Meng, Jingxin Liu, Sara Krauss, Daniel Hieber, Lavish Ramchandani, Dev Kumar Das, Mieko Ochi, Yuan Bae, Piotr Giedziun, Mateusz Maniewski, Vangala Govindakrishnan Saipradeep, Naveen Sivadasan, Leire Benito-Del-Valle, Adrian Galdran, Kaustubh Atey, Sameer Anand Jha, Adinath Dukre, Imran Razzak, Maxime W. Lafarge, Viktor H. Koelzer, Nils Porsche, Nikolas Stathonikos, Mitko Veta, Dominik Hirling, Zsanett Zsófia Iván, Péter Horváth, Katharina Breininger, Christof A. Bertram:
Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge. CoRR abs/2606.07368 (2026) - [i119]Ghadir Alselwi, Basem Suleiman, Hao Xue, Shoaib Jameel, Hakim Hacid, Flora D. Salim, Imran Razzak:
Knowledge Graph Enhanced Memory-Augmented Retrieval for Long Context Modeling. CoRR abs/2606.14047 (2026) - [i118]Xuran Li, Guanqin Zhang, Imran Razzak, Hakim Hacid, Eleanna Kafeza, Hao Xue, Flora D. Salim:
Evaluating LLM Personalization via Semantic Constraint Verification. CoRR abs/2606.16368 (2026) - [i117]Abhijit Das, Nichula Wasalathilaka, Yifan Lu, Adinath Madhavrao Dukre, Dwarikanath Mahapatra, Shadab Khan, Imran Razzak:
PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs. CoRR abs/2606.20913 (2026) - [i116]Nichula Wasalathilaka, Abhijit Das, Imran Razzak, Dwarikanath Mahapatra:
Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification. CoRR abs/2606.21368 (2026) - [i115]Dwarikanath Mahapatra, Abhijit Das, Behzad Bozorgtabar, Zongyuan Ge, Sudipta Roy, Deepak Nayak, Mauricio Reyes, Imran Razzak:
EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis. CoRR abs/2606.21384 (2026) - [i114]Inam Ullah, Imran Razzak, Shoaib Jameel:
A Dual Edge Spatial Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading. CoRR abs/2606.24168 (2026) - [i113]Inam Ullah, Imran Razzak, Shoaib Jameel:
RetiSEM: Generalising Causal Models for Fragmented Biomedical Data. CoRR abs/2606.24488 (2026) - [i112]Zhixiang Lu, Xiwei Liu, Sifan Song, Changkai Ji, Anh Nguyen, Jionglong Su, Imran Razzak, Jinfeng Wang:
TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation. CoRR abs/2606.26874 (2026) - [i111]Inam Ullah, Imran Razzak, Shoaib Jameel:
Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy. CoRR abs/2607.05204 (2026) - [i110]Xiachong Lin, Du Yin, Arian Prabowo, Hao Xue, Wen Hu, Imran Razzak, Matthew Amos, Sam Behrens, Flora D. Salim:
TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting. CoRR abs/2607.06349 (2026) - 2025
- [i109]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid:
Visual question answering: from early developments to recent advances - a survey. CoRR abs/2501.03939 (2025) - [i108]Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. CoRR abs/2501.06827 (2025) - [i107]Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao:
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. CoRR abs/2502.11903 (2025) - [i106]Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak:
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. CoRR abs/2503.05319 (2025) - [i105]Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Kang Dang, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su:
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. CoRR abs/2503.13560 (2025) - [i104]Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim:
KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning. CoRR abs/2503.14234 (2025) - [i103]Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak:
Long Context Modeling with Ranked Memory-Augmented Retrieval. CoRR abs/2503.14800 (2025) - [i102]Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak:
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR abs/2503.15566 (2025) - [i101]Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak:
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. CoRR abs/2503.16400 (2025) - [i100]Zhijin Meng, Mohammed Althubyani, Shengyuan Xie, Imran Razzak, Eduardo B. Sandoval, Mahdi Bamdad, Francisco Cruz:
PERCY: Personal Emotional Robotic Conversational System. CoRR abs/2503.16473 (2025) - [i99]Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak:
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. CoRR abs/2503.18227 (2025) - [i98]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Sunil Aryal:
SVLA: A Unified Speech-Vision-Language Assistant with Multimodal Reasoning and Speech Generation. CoRR abs/2503.24164 (2025) - [i97]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel:
LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. CoRR abs/2504.02146 (2025) - [i96]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel:
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. CoRR abs/2504.05411 (2025) - [i95]Yulong Li, Zhixiang Lu, Feilong Tang, Simin Lai, Ming Hu, Yuxuan Zhang, Haochen Xue, Zhaodong Wu, Imran Razzak, Qingxia Li, Jionglong Su:
Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis. CoRR abs/2504.15072 (2025) - [i94]Inamullah, Imran Razzak, Shoaib Jameel:
The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics. CoRR abs/2505.04006 (2025) - [i93]Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim:
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning. CoRR abs/2505.13994 (2025) - [i92]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CoRR abs/2505.16652 (2025) - [i91]Ming Hu, Zhengdi Yu, Feilong Tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kaijing Zhou, Zongyuan Ge:
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. CoRR abs/2505.17677 (2025) - [i90]Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak:
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. CoRR abs/2505.18283 (2025) - [i89]Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem:
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. CoRR abs/2505.18685 (2025) - [i88]Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Hakim Hacid, Imran Razzak, Sunil Aryal:
Navigating loss manifolds via rigid body dynamics: A promising avenue for robustness and generalisation. CoRR abs/2505.19527 (2025) - [i87]Tariq Mahmood Khan, Toufique Ahmed Soomro, Imran Razzak:
The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective. CoRR abs/2505.20810 (2025) - [i86]Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky:
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. CoRR abs/2505.23595 (2025) - [i85]Jianghao Wu, Yicheng Wu, Yutong Xie, Wenjia Bai, You Zhang, Feilong Tang, Yulong Li, Yasmeen M. George, Imran Razzak:
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation. CoRR abs/2506.05221 (2025) - [i84]Ali Almutairi, Abdullah Alsuhaibani, Shoaib Jameel, Usman Naseem, Gelareh Mohammadi, Imran Razzak:
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages. CoRR abs/2506.10292 (2025) - [i83]Tony Alex, Wish Suharitdamrong, Sara Atito, Armin Mustafa, Philip J. B. Jackson, Imran Razzak, Muhammad Awais:
PAL: Probing Audio Encoders via LLMs - A Study of Information Transfer from Audio Encoders to LLMs. CoRR abs/2506.10423 (2025) - [i82]Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak:
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning. CoRR abs/2506.15649 (2025) - [i81]Inamullah, Ernesto Elias Vidal Rosas, Imran Razzak, Shoaib Jameel:
Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort. CoRR abs/2507.12663 (2025) - [i80]Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen:
The Emergence of Deep Reinforcement Learning for Path Planning. CoRR abs/2507.15469 (2025) - [i79]Xinlin Zhuang, Feilong Tang, Haolin Yang, Ming Hu, Huifa Li, Haochen Xue, Yichen Li, Junjun He, Zongyuan Ge, Ying Qian, Imran Razzak:
Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data. CoRR abs/2508.01450 (2025) - [i78]Haolin Yang, Feilong Tang, Linxiao Zhao, Xiang An, Ming Hu, Huifa Li, Xinlin Zhuang, Boqian Wang, Yifan Lu, Xiaofeng Zhang, Abdalla Swikir, Junjun He, Zongyuan Ge, Imran Razzak:
StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding. CoRR abs/2508.01875 (2025) - [i77]Inamullah, Imran Razzak, Shoaib Jameel:
Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health. CoRR abs/2508.03538 (2025) - [i76]Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, Imran Razzak:
How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction? CoRR abs/2508.07127 (2025) - [i75]Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen:
scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. CoRR abs/2508.09180 (2025) - [i74]Nazira Dunbayeva, Yulong Li, Yutong Xie, Imran Razzak:
A Machine Learning Approach to Predict Biological Age and its Longitudinal Drivers. CoRR abs/2508.09747 (2025) - [i73]Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu:
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. CoRR abs/2508.13401 (2025) - [i72]Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi:
Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. CoRR abs/2508.20688 (2025) - [i71]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i70]Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel:
EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CoRR abs/2509.02450 (2025) - [i69]Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie:
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. CoRR abs/2509.14998 (2025) - [i68]Xiwei Liu, Yulong Li, Yichen Li, Xinlin Zhuang, Haolin Yang, Huifa Li, Imran Razzak:
Towards Robust Visual Continual Learning with Multi-Prototype Supervision. CoRR abs/2509.16011 (2025) - [i67]Yingzhen Hu, Yiheng Zhong, Ruobing Li, Yingxue Su, Jiabao An, Feilong Tang, Jionglong Su, Imran Razzak:
SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation. CoRR abs/2509.16886 (2025) - [i66]Guanming Chen, Lingzhi Shen, Xiaohao Cai, Imran Razzak, Shoaib Jameel:
HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection. CoRR abs/2510.09893 (2025) - [i65]Huifa Li, Feilong Tang, Haochen Xue, Yulong Li, Xinlin Zhuang, Bin Zhang, Eran Segal, Imran Razzak:
Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging. CoRR abs/2510.12384 (2025) - [i64]Niranjana Arun Menon, Yulong Li, Iqra Farooq, Sara Ahmed, Muhammad Awais, Imran Razzak:
Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification. CoRR abs/2510.16536 (2025) - [i63]Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim:
Hierarchical Sequence Iteration for Heterogeneous Question Answering. CoRR abs/2510.20505 (2025) - [i62]Moin Safdar, Shahzaib Iqbal, Mehwish Mehmood, Mubeen Ghafoor, Tariq Mahmood Khan, Imran Razzak:
Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation. CoRR abs/2510.20933 (2025) - [i61]Adinath Madhavrao Dukre, Ankan Deria, Yutong Xie, Imran Razzak:
Robust Atypical Mitosis Classification with DenseNet121: Stain-Aware Augmentation and Hybrid Loss for Domain Generalization. CoRR abs/2510.22630 (2025) - [i60]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities. CoRR abs/2511.03741 (2025) - [i59]Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami:
QuAnTS: Question Answering on Time Series. CoRR abs/2511.05124 (2025) - [i58]Xinlin Zhuang, Yichen Li, Xiwei Liu, Haolin Yang, Yifan Lu, Ziyun Zou, Yulong Li, Huifa Li, Dongliang Chen, Qinglei Wang, Weiyang Liu, Ying Qian, Jiangming Shi, Imran Razzak:
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection. CoRR abs/2511.18519 (2025) - [i57]Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Xiaobing Yu, Yu Zhong, Shangqi Deng, Ufaq Khan, Jianghao Wu, Xiaofeng Liu, Imran Razzak, Xiaojun Chang, Yutong Xie:
SelfAI: Building a Self-Training AI System with LLM Agents. CoRR abs/2512.00403 (2025) - [i56]Zhixiang Lu, Xueyuan Deng, Yiran Liu, Yulong Li, Qiang Yan, Imran Razzak, Jionglong Su:
PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation. CoRR abs/2512.19933 (2025) - 2024
- [i55]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. CoRR abs/2401.02610 (2024) - [i54]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR abs/2401.04025 (2024) - [i53]Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Tong Xie, Wenjie Zhang:
Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. CoRR abs/2404.03080 (2024) - [i52]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. CoRR abs/2404.10481 (2024) - [i51]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. CoRR abs/2404.10483 (2024) - [i50]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen D. White, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR abs/2405.14267 (2024) - [i49]Abdul Qayyum, Moona Mazher, Angela W. C. Lee, José Alonso Solís-Lemus, Imran Razzak, Steven A. Niederer:
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. CoRR abs/2405.17518 (2024) - [i48]Syed Javed, Tariq Mahmood Khan, Abdul Qayyum, Arcot Sowmya, Imran Razzak:
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images. CoRR abs/2405.17520 (2024) - [i47]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR abs/2406.08990 (2024) - [i46]Tariq Mahmood Khan, Shahzaib Iqbal, Syed Saud Naqvi, Imran Razzak, Erik Meijering:
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation. CoRR abs/2407.02871 (2024) - [i45]Christopher De Baets, Basem Suleiman, Armin Chitizadeh, Imran Razzak:
Vulnerability Detection in Smart Contracts: A Comprehensive Survey. CoRR abs/2407.07922 (2024) - [i44]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR abs/2407.17174 (2024) - [i43]Syed Javed, Tariq Mahmood Khan, Abdul Qayyum, Arcot Sowmya, Imran Razzak:
Region Guided Attention Network for Retinal Vessel Segmentation. CoRR abs/2407.18970 (2024) - [i42]Md. Arid Hasan, Prerona Tarannum, Krishno Dey, Imran Razzak, Usman Naseem:
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings. CoRR abs/2408.02237 (2024) - [i41]Feilong Tang, Matt Trinh, Annita Duong, Angelica Ly, Fiona Stapleton, Zhe Chen, Zongyuan Ge, Imran Razzak:
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study. CoRR abs/2408.07293 (2024) - [i40]Mahrukh Siddiqui, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Tariq Mahmood Khan, Imran Razzak:
A Robust Algorithm for Contactless Fingerprint Enhancement and Matching. CoRR abs/2408.09426 (2024) - [i39]Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood, Tariq Mahmood Khan, Imran Razzak:
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation. CoRR abs/2408.09687 (2024) - [i38]Shahzaib Iqbal, Hasnat Ahmed, Muhammad Sharif, Madiha Hena, Tariq Mahmood Khan, Imran Razzak:
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation. CoRR abs/2408.12323 (2024) - [i37]Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. CoRR abs/2409.01184 (2024) - [i36]Hamza Farooq, Zuhair Zafar, Ahsan Saadat, Tariq Mahmood Khan, Shahzaib Iqbal, Imran Razzak:
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation. CoRR abs/2409.01572 (2024) - [i35]Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Imran Razzak:
Latent fingerprint enhancement for accurate minutiae detection. CoRR abs/2409.11802 (2024) - [i34]Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer:
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging. CoRR abs/2409.15501 (2024) - [i33]Krishno Dey, Prerona Tarannum, Md. Arid Hasan, Imran Razzak, Usman Naseem:
Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings. CoRR abs/2410.13153 (2024) - [i32]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid:
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset. CoRR abs/2410.22648 (2024) - [i31]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
Exploring Capabilities of Time Series Foundation Models in Building Analytics. CoRR abs/2411.08888 (2024) - [i30]Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger:
SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR abs/2411.09593 (2024) - [i29]Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak:
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging. CoRR abs/2411.10100 (2024) - [i28]Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. CoRR abs/2411.12000 (2024) - [i27]Mohammed Althubyani, Zhijin Meng, Shengyuan Xie, Cha Seung, Imran Razzak, Eduardo Benítez Sandoval, A. Baki Kocaballi, Mahdi Bamdad, Francisco Cruz Naranjo:
PERCY: A Multimodal Dataset and Conversational System for Personalized and Emotionally Aware Human-Robot Interaction. CoRR abs/2412.04908 (2024) - [i26]Abd Ur Rehman, Azka Rehman, Muhammad Usman, Abdullah Shahid, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak:
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages. CoRR abs/2412.05632 (2024) - [i25]Abdulrahman Althobaiti, Angel Ayala, JingYing Gao, Ali Almutairi, Mohammad Deghat, Imran Razzak, Francisco Cruz:
How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach. CoRR abs/2412.11387 (2024) - [i24]Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel:
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. CoRR abs/2412.12164 (2024) - [i23]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. CoRR abs/2412.14175 (2024) - 2023
- [i22]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G., Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i21]Ravin Gunawardena, Yuemeng Yin, Yi Huang, Rahat Masood, Suranga Seneviratne, Imran Razzak, Nguyen Tran, Aruna Seneviratne:
Usability of Privacy Controls in Top Health Websites. CoRR abs/2303.01838 (2023) - [i20]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. CoRR abs/2304.12856 (2023) - [i19]Asim Naveed, Syed Saud Naqvi, Tariq Mahmood Khan, Imran Razzak:
Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions. CoRR abs/2306.07300 (2023) - [i18]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i17]Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak:
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. CoRR abs/2306.14764 (2023) - [i16]Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex:
DARWIN Series: Domain Specific Large Language Models for Natural Science. CoRR abs/2308.13565 (2023) - [i15]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation. CoRR abs/2309.03535 (2023) - 2022
- [i14]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady B. Zaslavsky:
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey. CoRR abs/2202.10594 (2022) - [i13]Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. CoRR abs/2203.01895 (2022) - [i12]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. CoRR abs/2204.06337 (2022) - 2021
- [i11]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR abs/2105.10878 (2021) - [i10]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction. CoRR abs/2106.07344 (2021) - [i9]Taige Zhao, Xiangyu Song, Jianxin Li, Wei Luo, Imran Razzak:
Distributed Optimization of Graph Convolutional Network using Subgraph Variance. CoRR abs/2110.02987 (2021) - 2020
- [i8]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities. CoRR abs/2004.09010 (2020) - [i7]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR abs/2009.09223 (2020) - [i6]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. CoRR abs/2010.15036 (2020) - 2019
- [i5]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach. CoRR abs/1902.08522 (2019) - 2018
- [i4]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. CoRR abs/1809.10792 (2018) - 2017
- [i3]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep Learning based Isolated Arabic Scene Character Recognition. CoRR abs/1704.06821 (2017) - [i2]Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib:
Deep Learning for Medical Image Processing: Overview, Challenges and Future. CoRR abs/1704.06825 (2017) - [i1]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. CoRR abs/1705.05455 (2017)
Coauthor Index
ZongYuan Ge
aka: Zongyuan Ge
aka: Zongyuan Ge
[j140] [j117] [j53] [j34] [c128] [c127] [c124] [c123] [c117] [c112] [c110] [c109] [c108] [c107] [c102] [c100] [c92] [c88] [c87] [c80] [c55] [c54] [c52] [c28] [i139] [i134] [i119] [i114] [i113] [i111] [i108] [i103] [i102] [i97] [i96] [i94] [i90] [i86] [i84] [i81] [i77] [i70] [i66] [i54] [i52] [i51] [i44] [i24] [i11]
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