default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhong Ming 0001
Ming Zhong 0003
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, Shenzhen, China
- affiliation (PhD 2004): Sun Yat-Sen University, Department of Computer Science, Guangzhou, China
Other persons with the same name
- Ming Zhong — disambiguation page
- Ming Zhong 0001 — Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Ming Zhong 0002
![[0000-0001-9376-818X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-9376-818X")
— Wuhan University, School of Computer Science, Wuhan, China - Ming Zhong 0004 — Wuhan University of Technology, Intelligent Transportation Systems Research Center, Wuhan, China
- Ming Zhong 0005 — University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (and 1 more)
- Ming Zhong 0006 — Google, Inc., Mountain View, CA, USA (and 1 more)
- Ming Zhong 0007 — Google, Mountain View, CA, USA (and 1 more)
- Ming Zhong 0008 — Texas A&M University, Institute of Data Science, College Station, TX, USA (and 2 more)
- Ming Zhong 0009 — Zhejiang Normal University, College of Mathematics and Computer Science, Jinhua, China (and 1 more)
- Ming Zhong 0010 — Harbin Institute of Technology, Industrial Research Institute of Robotics and Intelligent Equipment, Weihai, China (and 1 more)
- Ming Zhong 0011 — Fudan University, School of Computer Science, Shanghai, China
- Ming Zhong 0012 — Beijing Institute of Petrochemical Technology, School of Information Engineering, Beijing, China
- Ming Zhong 0013 — York University, Toronto, Canada
- Ming Zhong 0014 — Microsoft, AI for Good Research Lab, USA
- Ming Zhong 0015 — Microsoft STCA, Beijing, China (and 1 more)
- Ming Zhong 0016 — Chinese University of Hong Kong (CUHK), Hong Kong (and 2 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
Journal Articles
- 2026
[j230]Xiaoqing Chen, Zhitao Li, Weike Pan, Qiang Yang, Zhong Ming:
A survey on multi-behavior sequential recommendation. Sci. China Inf. Sci. 69(3) (2026)- [j229]Lingjie Li, Yuze Zhang, Zhijiao Xiao, Qiuzhen Lin, Xin Wang, Xiuqiang He, Zhong Ming:
An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification. Expert Syst. Appl. 295: 128874 (2026) - [j228]Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming:
A survey on sequential recommendation. Frontiers Comput. Sci. 20(3): 2003606 (2026) - [j227]Donglin Zhou, Weike Pan, Zhong Ming:
Self-supervised representation learning with ID-Content modality alignment for sequential recommendation. Frontiers Comput. Sci. 20(12): 2012624 (2026) - [j226]Liwei Pan, Weike Pan, Zhong Ming:
Multi-domain sequential recommendation via multi-sequence and multi-task learning. Inf. Process. Manag. 63(2): 104426 (2026) - [j225]Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Hongcheng Fu, Zhong Ming:
Sample enrichment via temporary operations on subsequences for sequential recommendation. Knowl. Inf. Syst. 68(1): 89 (2026) - [j224]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung, Carlos A. Coello Coello:
A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 56(1): 148-161 (2026) - [j223]Yuze Zhang, Lingjie Li, Qiuzhen Lin, Ling Wang, Zhong Ming, F. Richard Yu, Victor C. M. Leung:
Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer. IEEE Trans. Evol. Comput. 30(2): 867-881 (2026) - [j222]Zihong Xian, Enyue Yang, Weike Pan, Zhong Ming:
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation. ACM Trans. Inf. Syst. 44(3): 65:1-65:34 (2026) - [j221]Qi Xiao, Jing Xiao, Weike Pan, Zhong Ming:
MBASR: A Generic Framework for Multi-Behavior Data Augmentation in Sequential Recommendation. Trans. Recomm. Syst. 4(3): 36:1-36:28 (2026) - [j220]Xi Tao, Dongji Lu, Weipeng Cao, Jiongjiong Gu, Zhiyuan Cai, Chuanfei Xu, Liang-Jie Zhang, Zhong Ming:
QoS-Aware Deep Reinforcement Learning for Dynamic CPU Pinning of Co-Located Cloud Workloads. IEEE Trans. Serv. Comput. 19(3): 2398-2409 (2026) - 2025
- [j219]Weipeng Cao, Xuyang Yao, Zhiwu Xu, Ye Liu, Yinghui Pan, Zhong Ming:
A Survey of Zero-Shot Object Detection. Big Data Min. Anal. 8(3): 726-750 (2025) - [j218]Enyue Yang, Yudi Xiong, Wei Yuan, Weike Pan, Qiang Yang, Zhong Ming:
A survey on cross-user federated recommendation. Sci. China Inf. Sci. 68(4) (2025) - [j217]Qijie Qiu, Yulong Ye, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Zhong Ming:
Joint computation offloading and service caching in Vehicular Edge Computing via a dynamic coevolutionary multiobjective optimization algorithm. Expert Syst. Appl. 284: 127821 (2025) - [j216]Yue Yang, Tangtangfang Fang, Jinyang Hu, Chang Chuan Goh, Honghao Zhang, Yongmei Cai, Anthony Graham Bellotti, Boon Giin Lee, Zhong Ming:
A comprehensive study on the interplay between dataset characteristics and oversampling methods. J. Oper. Res. Soc. 76(10): 1981-2002 (2025) - [j215]Yingxuan Zhuang, Yang Liu, Weike Pan, Zhong Ming:
VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation. Knowl. Inf. Syst. 67(9): 8085-8114 (2025) - [j214]Xiaolin Lin, Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming:
Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation. Knowl. Inf. Syst. 67(12): 11577-11609 (2025) - [j213]Qijie Qiu, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Zhong Ming, Gary G. Yen:
Joint Service Caching and Task Allocation in Digital Twin-Enabled Mobile Edge Computing Systems: A Bilevel Optimization Approach. IEEE Trans. Consumer Electron. 71(4): 9208-9220 (2025) - [j212]Lingjie Li, Yuze Zhang, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello, Victor C. M. Leung:
Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images. IEEE Trans. Evol. Comput. 29(4): 1002-1016 (2025) - [j211]Qingling Zhu, Yaojian Xu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 304-317 (2025) - [j210]Yang Li, Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming:
Cross-User Federated Recommendation Unlearning. ACM Trans. Intell. Syst. Technol. 16(5): 119:1-119:24 (2025) - [j209]Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang:
Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 37(7): 3916-3932 (2025) - [j208]Enyue Yang, Weike Pan, Lixin Fan, Hanlin Gu, Zhitao Li, Qiang Yang, Zhong Ming:
Ownership Verification for Federated Recommendation. ACM Trans. Inf. Syst. 43(3): 69:1-69:27 (2025) - [j207]Zitao Xu, Shu Chen, Weike Pan, Zhong Ming:
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. Trans. Recomm. Syst. 3(4): 43:1-43:28 (2025) - [j206]Dugang Liu, Shenxian Xian, Yuhao Wu, Xiaolian Zhang, Zhong Ming:
Pairwise Intent Graph Embedding Learning for Context-aware Recommendation with Knowledge Graph. Trans. Recomm. Syst. 3(4): 44:1-44:26 (2025) - [j205]Weipeng Cao, Jiongjiong Gu, Zhong Ming, Zhiyuan Cai, Yuzhao Wang, Changping Ji, Zhijiao Xiao, Yuhong Feng, Ye Liu, Liang-Jie Zhang:
Flexible Computing: A New Framework for Improving Resource Allocation and Scheduling in Elastic Computing. IEEE Trans. Serv. Comput. 18(1): 198-211 (2025) - [j204]Qijie Qiu, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Lijia Ma, Zhong Ming:
TOM: Joint Trajectory, Offloading and Migration Optimization in Stateful Service-Oriented UAV-Enabled VEC System. IEEE Trans. Serv. Comput. 18(6): 4261-4275 (2025) - 2024
- [j203]Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello:
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. 129: 107564 (2024) - [j202]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. 18(3): 183341 (2024) - [j201]Zitao Xu, Weike Pan, Zhong Ming:
Transfer learning in cross-domain sequential recommendation. Inf. Sci. 669: 120550 (2024) - [j200]Yuze Zhang, Qiuzhen Lin, Lingjie Li, Zhijiao Xiao, Zhong Ming, Victor C. M. Leung:
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images. Swarm Evol. Comput. 89: 101614 (2024) - [j199]Laizhong Cui, Ziteng Chen, Shu Yang, Ruiyu Chen, Zhong Ming:
A Secure and Decentralized DLaaS Platform for Edge Resource Scheduling Against Adversarial Attacks. IEEE Trans. Computers 73(3): 631-644 (2024) - [j198]Lingjie Li, Qijie Qiu, Zhijiao Xiao, Qiuzhen Lin, Jiongjiong Gu, Zhong Ming:
A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing. IEEE Trans. Consumer Electron. 70(1): 735-746 (2024) - [j197]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Songbai Liu, Junwei Zhou, Zhong Ming, Carlos A. Coello Coello:
Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 54(6): 3502-3515 (2024) - [j196]Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming:
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. 15(4): 77:1-77:23 (2024) - [j195]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems. IEEE Trans. Intell. Transp. Syst. 25(10): 14830-14843 (2024) - [j194]Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian:
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? ACM Trans. Knowl. Discov. Data 18(7): 168 (2024) - [j193]Zhitao Li, Xueyang Wu, Weike Pan, Youlong Ding, Zeheng Wu, Shengqi Tan, Qian Xu, Qiang Yang, Zhong Ming:
FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. IEEE Trans. Knowl. Data Eng. 36(8): 3817-3831 (2024) - [j192]Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming:
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 125:1-125:50 (2024) - [j191]Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(5): 129:1-129:35 (2024) - [j190]Zhijiao Xiao, Qijie Qiu, Lingjie Li, Yuhong Feng, Qiuzhen Lin, Zhong Ming:
An Efficient Service-Aware Virtual Machine Scheduling Approach Based on Multi-Objective Evolutionary Algorithm. IEEE Trans. Serv. Comput. 17(5): 2027-2040 (2024) - [j189]Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming:
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. 73(6): 7722-7732 (2024) - 2023
- [j188]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j187]Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - [j186]Wenhong Wei, Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification. Appl. Soft Comput. 143: 110360 (2023) - [j185]Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming:
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17(5): 175336 (2023) - [j184]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming:
A survey of dynamic pickup and delivery problems. Neurocomputing 554: 126631 (2023) - [j183]Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen:
A survey on Evolutionary Reinforcement Learning algorithms. Neurocomputing 556: 126628 (2023) - [j182]Jing Lin, Mingkai He, Weike Pan, Zhong Ming:
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621: 136-155 (2023) - [j181]Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang:
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628: 134-147 (2023) - [j180]Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming:
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. 37(4): 230-236 (2023) - [j179]Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang:
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167: 129-140 (2023) - [j178]Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139: 109477 (2023) - [j177]Yongfeng Li, Lingjie Li, Huimei Tang, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung:
Redefined decision variable analysis method for large-scale optimization and its application to feature selection. Swarm Evol. Comput. 82: 101360 (2023) - [j176]Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53(10): 6289-6302 (2023) - [j175]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27(4): 802-816 (2023) - [j174]Yinghui Pan, Biyang Ma, Yifeng Zeng, Jing Tang, Buxin Zeng, Zhong Ming:
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1276-1289 (2023) - [j173]Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming:
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. ACM Trans. Intell. Syst. Technol. 14(1): 14:1-14:22 (2023) - [j172]Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - [j171]Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming:
Lifelong Age Transformation With a Deep Generative Prior. IEEE Trans. Multim. 25: 3125-3139 (2023) - [j170]Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming:
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41(2): 40:1-40:37 (2023) - [j169]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - [j168]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - [j167]Zhiwu Xu, Yazheng Liu, Shengchao Qin, Zhong Ming:
Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming. IEEE Trans. Reliab. 72(3): 1191-1205 (2023) - [j166]Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3284-3297 (2023) - 2022
- [j165]Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming:
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. 4(1): 32-44 (2022) - [j164]Faan Zheng, Qiao Yan, Victor C. M. Leung, F. Richard Yu, Zhong Ming:
HDP-CNN: Highway deep pyramid convolution neural network combining word-level and character-level representations for phishing website detection. Comput. Secur. 114: 102584 (2022) - [j163]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization. Eng. Appl. Artif. Intell. 115: 105249 (2022) - [j162]Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming:
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16(2): 162615 (2022) - [j161]Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming:
Diversifying agent's behaviors in interactive decision models. Int. J. Intell. Syst. 37(12): 12035-12056 (2022) - [j160]Lingjie Li, Qiuzhen Lin, Zhong Ming:
A survey of artificial immune algorithms for multi-objective optimization. Neurocomputing 489: 211-229 (2022) - [j159]Zhong Ming, Lijun Zhang, Shengchao Qin:
Preface to Special Issue on Analysis and Verification of Intelligent Systems. Int. J. Softw. Informatics 12(4): 351-353 (2022) - [j158]Ying He, Haiyan Wang, Yuan Li, Ke Huang, Victor C. M. Leung, F. Richard Yu, Zhong Ming:
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain. IEEE Internet Things J. 9(4): 2722-2733 (2022) - [j157]Mingkai He, Weike Pan, Zhong Ming:
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608: 881-899 (2022) - [j156]Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming:
Knowledge guided Bayesian classification for dynamic multi-objective optimization. Knowl. Based Syst. 250: 109173 (2022) - [j155]Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming:
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. Knowl. Based Syst. 253: 109441 (2022) - [j154]Wanqi Ma, Weike Pan, Zhong Ming:
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258: 109999 (2022) - [j153]Chengwei Li, Han Liu, Zhong Ming:
Empirical study on virtual order of class labels in nominal classification. Int. J. Mach. Learn. Cybern. 13(11): 3255-3266 (2022) - [j152]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello:
A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. 72: 101084 (2022) - [j151]Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang:
A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. 52(2): 1164-1178 (2022) - [j150]Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming:
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30(4): 1073-1087 (2022) - [j149]Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming:
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71(5): 4642-4654 (2022) - 2021
- [j148]Lingjie Li, Qiuzhen Lin, Zhong Ming:
Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design. Appl. Soft Comput. 101: 107002 (2021) - [j147]Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming:
FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. 36(5): 21-30 (2021) - [j146]Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming:
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455: 59-67 (2021) - [j145]Ying He, Yuhang Wang, Chao Qiu, Qiuzhen Lin, Jianqiang Li, Zhong Ming:
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 8(4): 2226-2237 (2021) - [j144]Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming:
Zero-Bias Deep Learning for Accurate Identification of Internet-of-Things (IoT) Devices. IEEE Internet Things J. 8(4): 2627-2634 (2021) - [j143]Shu Yang, Kunkun Xu, Laizhong Cui, Zhongxing Ming, Ziteng Chen, Zhong Ming:
EBI-PAI: Toward an Efficient Edge-Based IoT Platform for Artificial Intelligence. IEEE Internet Things J. 8(12): 9580-9593 (2021) - [j142]Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming:
Learning unsupervised node representation from multi-view network. Inf. Sci. 579: 700-716 (2021) - [j141]Yinghui Pan, Jing Tang, Biyang Ma, Yifeng Zeng, Zhong Ming:
Toward data-driven solutions to interactive dynamic influence diagrams. Knowl. Inf. Syst. 63(9): 2431-2453 (2021) - [j140]Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming:
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. 220: 106946 (2021) - [j139]Zhongwu Xie, Weipeng Cao, Zhong Ming:
A further study on biologically inspired feature enhancement in zero-shot learning. Int. J. Mach. Learn. Cybern. 12(1): 257-269 (2021) - [j138]Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang:
Bidirectional stochastic configuration network for regression problems. Neural Networks 140: 237-246 (2021) - [j137]Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming:
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm Evol. Comput. 63: 100886 (2021) - [j136]Fei Chen, Donghong Wang, Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wei Yu, Jing Qin:
Towards Dynamic Verifiable Pattern Matching. IEEE Trans. Big Data 7(2): 421-435 (2021) - [j135]Han Qiu, Hassan N. Noura, Meikang Qiu, Zhong Ming, Gérard Memmi:
A User-Centric Data Protection Method for Cloud Storage Based on Invertible DWT. IEEE Trans. Cloud Comput. 9(4): 1293-1304 (2021) - [j134]Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen, Jun Zhang:
An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. IEEE Trans. Cybern. 51(2): 765-778 (2021) - [j133]Ning Xie, Changsheng Chen, Zhong Ming:
Security Model of Authentication at the Physical Layer and Performance Analysis over Fading Channels. IEEE Trans. Dependable Secur. Comput. 18(1): 253-268 (2021) - [j132]Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming:
Holistic Transfer to Rank for Top-N Recommendation. ACM Trans. Interact. Intell. Syst. 11(1): 8:1 (2021) - [j131]Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-aware similarity learning for next-item recommendation. J. Supercomput. 77(7): 7509-7534 (2021) - [j130]Laizhong Cui, Dongyuan Su, Shu Yang, Zhi Wang, Zhong Ming:
TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement Learning. IEEE Trans. Multim. 23: 651-663 (2021) - 2020
- [j129]Shu Yang, Qiuling Huang, Laizhong Cui, Kunkun Xu, Zhong Ming, Zhenkun Wen:
Variable-grouping-based exponential crossover for differential evolution algorithm. Int. J. Bio Inspired Comput. 15(3): 147-158 (2020) - [j128]Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming:
k-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. Neurocomputing 381: 207-216 (2020) - [j127]Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming:
Conditional restricted Boltzmann machine for item recommendation. Neurocomputing 385: 269-277 (2020) - [j126]Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming:
Matrix factorization with heterogeneous multiclass preference context. Neurocomputing 390: 148-157 (2020) - [j125]Jia Wang, Yuchao Su, Qiuzhen Lin, Lijia Ma, Dunwei Gong, Jianqiang Li, Zhong Ming:
A survey of decomposition approaches in multiobjective evolutionary algorithms. Neurocomputing 408: 308-330 (2020) - [j124]Laizhong Cui, Shu Yang, Ziteng Chen, Yi Pan, Zhong Ming, Mingwei Xu:
A Decentralized and Trusted Edge Computing Platform for Internet of Things. IEEE Internet Things J. 7(5): 3910-3922 (2020) - [j123]Jixiong Liu, Weike Pan, Zhong Ming:
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. Knowl. Based Syst. 191: 105255 (2020) - [j122]Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming:
A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. 32(16): 12685-12696 (2020) - [j121]Adnan Tahir, Fei Chen, Habib Ullah Khan, Zhong Ming, Arshad Ahmad, Shah Nazir, Muhammad Shafiq:
A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems. Sensors 20(18): 5392 (2020) - [j120]Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming:
Self-weighted collaborative representation for hyperspectral anomaly detection. Signal Process. 177: 107718 (2020) - [j119]Sheng-Hua Zhong, Peiqi Liu, Zhong Ming, Yan Liu:
How to Evaluate Single-Round Dialogues Like Humans: An Information-Oriented Metric. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2211-2223 (2020) - [j118]Wei Dai, Qing Zhang, Weike Pan, Zhong Ming:
Transfer to Rank for Top-N Recommendation. IEEE Trans. Big Data 6(4): 770-779 (2020) - [j117]Han Qiu, Meikang Qiu, Meiqin Liu, Zhong Ming:
Lightweight Selective Encryption for Social Data Protection Based on EBCOT Coding. IEEE Trans. Comput. Soc. Syst. 7(1): 205-214 (2020) - [j116]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Trans. Cybern. 50(10): 4430-4443 (2020) - [j115]Lin Li, Weike Pan, Zhong Ming:
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. ACM Trans. Intell. Syst. Technol. 11(4): 41:1-41:24 (2020) - [j114]Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming:
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. IEEE Trans. Knowl. Data Eng. 32(1): 165-176 (2020) - [j113]Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming:
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. ACM Trans. Inf. Syst. 38(1): 7:1-7:22 (2020) - [j112]Xiancong Chen, Lin Li, Weike Pan, Zhong Ming:
A Survey on Heterogeneous One-class Collaborative Filtering. ACM Trans. Inf. Syst. 38(4): 35:1-35:54 (2020) - 2019
- [j111]Weitao Xu, Xingyu Feng, Jia Wang, Chengwen Luo, Jianqiang Li, Zhong Ming:
Energy Harvesting-Based Smart Transportation Mode Detection System via Attention-Based LSTM. IEEE Access 7: 66423-66434 (2019) - [j110]Zhijiao Xiao, Jianmin Jiang, Zhong Ming:
High-Level Video Event Modeling, Recognition, and Reasoning via Petri Net. IEEE Access 7: 129376-129386 (2019) - [j109]Lingjie Li, Shuo Chen, Zhe Gong, Qiuzhen Lin, Zhong Ming:
A Novel Hybrid Multi-Objective Particle Swarm Optimization Algorithm With an Adaptive Resource Allocation Strategy. IEEE Access 7: 177082-177100 (2019) - [j108]Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, Qiang Wang:
Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor. IEEE Access 7: 179746-179757 (2019) - [j107]Lingjie Li, Qiuzhen Lin, Songbai Liu, Dunwei Gong, Carlos A. Coello Coello, Zhong Ming:
A novel multi-objective immune algorithm with a decomposition-based clonal selection. Appl. Soft Comput. 81 (2019) - [j106]Jiancan Zhou, Xi Jia, Linlin Shen, Zhenkun Wen, Zhong Ming:
Improved softmax loss for deep learning-based face and expression recognition. Cogn. Comput. Syst. 1(4): 97-102 (2019) - [j105]Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming:
A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition. Complex. 2019: 3251349:1-3251349:11 (2019) - [j104]Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming:
Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization. Complex. 2019: 7436712:1-7436712:22 (2019) - [j103]Zhijiao Xiao, Zhong Ming:
A state based energy optimization framework for dynamic virtual machine placement. Data Knowl. Eng. 120: 83-99 (2019) - [j102]Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu:
Generate pairwise constraints from unlabeled data for semi-supervised clustering. Data Knowl. Eng. 123 (2019) - [j101]Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming:
Neighborhood-enhanced transfer learning for one-class collaborative filtering. Neurocomputing 341: 80-87 (2019) - [j100]Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu:
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet Things J. 6(3): 4791-4803 (2019) - [j99]Haibo Yi, Jianqiang Li, Qiuzhen Lin, Huihui Wang, Houbing Song, Zhong Ming, Zhe Nie:
A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems. J. Medical Syst. 43(8): 276:1-276:10 (2019) - [j98]Yongxin Liu, Jianqiang Li, Zhong Ming, Houbing Song, Xiaoxiong Weng, Jian Wang:
Domain-specific data mining for residents' transit pattern retrieval from incomplete information. J. Netw. Comput. Appl. 134: 62-71 (2019) - [j97]Weike Pan, Li Chen, Zhong Ming:
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. 58(2): 295-318 (2019) - [j96]Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai:
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11(1): 19-26 (2019) - [j95]Minghua Wan, Zhihui Lai, Zhong Ming, Guowei Yang:
An improve face representation and recognition method based on graph regularized non-negative matrix factorization. Multim. Tools Appl. 78(15): 22109-22126 (2019) - [j94]Laizhong Cui, Genghui Li, Zexuan Zhu, Zhong Ming, Zhenkun Wen, Nan Lu:
Differential evolution algorithm with dichotomy-based parameter space compression. Soft Comput. 23(11): 3643-3660 (2019) - [j93]Yijun Yang, Fei Chen, Zhiwei Sun, Shulan Wang, Jianqiang Li, Jianyong Chen, Zhong Ming:
Secure and efficient parallel hash function construction and its application on cloud audit. Soft Comput. 23(18): 8907-8925 (2019) - [j92]Qiuzhen Lin, Qingling Zhu, Na Wang, Peizhi Huang, Wenjun Wang, Jianyong Chen, Zhong Ming:
A multi-objective immune algorithm with dynamic population strategy. Swarm Evol. Comput. 50 (2019) - [j91]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Reliable Link Inference for Network Data With Community Structures. IEEE Trans. Cybern. 49(9): 3347-3361 (2019) - [j90]Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming:
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 37(1): 10:1-10:20 (2019) - 2018
- [j89]Laizhong Cui, Qiuling Huang, Genghui Li, Shu Yang, Zhong Ming, Zhenkun Wen, Nan Lu, Jian Lu:
Differential Evolution Algorithm With Tracking Mechanism and Backtracking Mechanism. IEEE Access 6: 44252-44267 (2018) - [j88]Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu:
Cluster Survival Model of Concept Drift in Load Profile Data. IEEE Access 6: 51269-51285 (2018) - [j87]Laizhong Cui, Chong Xu, Genghui Li, Zhong Ming, Yuhong Feng, Nan Lu:
A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network. Appl. Soft Comput. 68: 39-52 (2018) - [j86]Zhengping Liang, Xuyong Wang, Qiuzhen Lin, Fei Chen, Jianyong Chen, Zhong Ming:
A novel multi-objective co-evolutionary algorithm based on decomposition approach. Appl. Soft Comput. 73: 50-66 (2018) - [j85]Laizhong Cui, Kai Zhang, Genghui Li, Xizhao Wang, Shu Yang, Zhong Ming, Joshua Zhexue Huang, Nan Lu:
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application. Future Gener. Comput. Syst. 89: 478-493 (2018) - [j84]Weipeng Cao, Xizhao Wang, Zhong Ming, Jinzhu Gao:
A review on neural networks with random weights. Neurocomputing 275: 278-287 (2018) - [j83]Jun Xu, Junmei Yao, Lu Wang, Zhong Ming, Kaishun Wu, Lei Chen:
Narrowband Internet of Things: Evolutions, Technologies, and Open Issues. IEEE Internet Things J. 5(3): 1449-1462 (2018) - [j82]Jianqiang Li, Gang Feng, Wei Wei, Chengwen Luo, Long Cheng, Huihui Wang, Houbing Song, Zhong Ming:
PSOTrack: A RFID-Based System for Random Moving Objects Tracking in Unconstrained Indoor Environment. IEEE Internet Things J. 5(6): 4632-4641 (2018) - [j81]Md Abdul Masud, Joshua Zhexue Huang, Chenghao Wei, Jikui Wang, Imran Khan, Ming Zhong:
I-nice: A new approach for identifying the number of clusters and initial cluster centres. Inf. Sci. 466: 129-151 (2018) - [j80]Jia Qu, Xing Chen, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming:
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. J. Cheminformatics 10(1): 30:1-30:14 (2018) - [j79]Laizhong Cui, Huaixiong Hu, Shui Yu, Qiao Yan, Zhong Ming, Zhenkun Wen, Nan Lu:
DDSE: A novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks. J. Netw. Comput. Appl. 103: 119-130 (2018) - [j78]Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, Rana Aamir Raza Ashfaq:
An initial study on the rank of input matrix for extreme learning machine. Int. J. Mach. Learn. Cybern. 9(5): 867-879 (2018) - [j77]Laizhong Cui, Shu Yang, Fei Chen, Zhong Ming, Nan Lu, Jing Qin:
A survey on application of machine learning for Internet of Things. Int. J. Mach. Learn. Cybern. 9(8): 1399-1417 (2018) - [j76]Sheng Xing, Zhong Ming:
A study on unstable cuts and its application to sample selection. Int. J. Mach. Learn. Cybern. 9(9): 1541-1552 (2018) - [j75]Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming:
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognit. 76: 404-415 (2018) - [j74]Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Zhiguang Shan:
Fuzziness-based online sequential extreme learning machine for classification problems. Soft Comput. 22(11): 3487-3494 (2018) - [j73]Laizhong Cui, Genghui Li, Yanli Luo, Fei Chen, Zhong Ming, Nan Lu, Jian Lu:
An enhanced artificial bee colony algorithm with dual-population framework. Swarm Evol. Comput. 43: 184-206 (2018) - [j72]Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming:
Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. 12(4): 23:1-23:20 (2018) - [j71]Chengwen Luo, Chaoxi Li, Hande Hong, Jianqiang Li, Wei Li, Zhong Ming, Albert Y. Zomaya:
SODAR: Nonobtrusive Off-Line Social Structure Reconstruction Through Passive Wireless Sensing. IEEE Trans. Comput. Soc. Syst. 5(3): 871-883 (2018) - [j70]Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming, Yuedong Xu:
Performance Analysis of Thunder Crystal: A Crowdsourcing-Based Video Distribution Platform. IEEE Trans. Circuits Syst. Video Technol. 28(4): 997-1008 (2018) - [j69]Fei Chen, Donghong Wang, Ronghua Li, Jianyong Chen, Zhong Ming, Alex X. Liu, Huayi Duan, Cong Wang, Jing Qin:
Secure Hashing-Based Verifiable Pattern Matching. IEEE Trans. Inf. Forensics Secur. 13(11): 2677-2690 (2018) - [j68]Chengwen Luo, Hande Hong, Mun Choon Chan, Jianqiang Li, Xinglin Zhang, Zhong Ming:
MPiLoc: Self-Calibrating Multi-Floor Indoor Localization Exploiting Participatory Sensing. IEEE Trans. Mob. Comput. 17(1): 141-154 (2018) - [j67]Jianye Hao, Eunsuk Kang, Jun Sun, Zan Wang, Zhaopeng Meng, Xiaohong Li, Zhong Ming:
An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers. IEEE Trans. Smart Grid 9(4): 2398-2408 (2018) - 2017
- [j66]Jianqiang Li, Genqiang Deng, Wei Wei, Huihui Wang, Zhong Ming:
Design of a Real-Time ECG Filter for Portable Mobile Medical Systems. IEEE Access 5: 696-704 (2017) - [j65]Qiuzhen Lin, Bishan Hu, Ya Tang, Leo Yu Zhang, Jianyong Chen, Xiaomin Wang, Zhong Ming:
A local search enhanced differential evolutionary algorithm for sparse recovery. Appl. Soft Comput. 57: 144-163 (2017) - [j64]Ya-Zhou Sun, De-Hong Zhang, Zhong Ming, Jian-Qiang Li, Xing Chen:
DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes. Database J. Biol. Databases Curation 2017: bax084 (2017) - [j63]Jian-Qiang Li, F. Richard Yu, Genqiang Deng, Chengwen Luo, Zhong Ming, Qiao Yan:
Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges. IEEE Commun. Surv. Tutorials 19(3): 1504-1526 (2017) - [j62]Qiuzhen Lin, Chaoyu Tang, Yueping Ma, Zhihua Du, Jianqiang Li, Jianyong Chen, Zhong Ming:
A novel adaptive control strategy for decomposition-based multiobjective algorithm. Comput. Oper. Res. 78: 94-107 (2017) - [j61]Weike Pan, Zhong Ming:
Collaborative Recommendation with Multiclass Preference Context. IEEE Intell. Syst. 32(2): 45-51 (2017) - [j60]Chengwen Luo, Long Cheng, Hande Hong, Kartik Sankaran, Mun Choon Chan, Jianqiang Li, Zhong Ming:
From mapping to indoor semantic queries: Enabling zero-effort indoor environmental sensing. J. Netw. Comput. Appl. 80: 141-151 (2017) - [j59]Yingying Zhu, Junwei Liang, Jianyong Chen, Zhong Ming:
An improved NSGA-III algorithm for feature selection used in intrusion detection. Knowl. Based Syst. 116: 74-85 (2017) - [j58]Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng, Zhong Ming:
Mixed similarity learning for recommendation with implicit feedback. Knowl. Based Syst. 119: 178-185 (2017) - [j57]Jia Chen, Xin Luo, Ye Yuan, Mingsheng Shang, Zhong Ming, Zhang Xiong:
Performance of latent factor models with extended linear biases. Knowl. Based Syst. 123: 128-136 (2017) - [j56]Yi Wang, Lisha Dong, Zhong Ming, Yong Guan, Zili Shao:
Virtual duplication and mapping prefetching for emerging storage primitives in NAND flash memory storage systems. Microprocess. Microsystems 50: 54-65 (2017) - [j55]Shengchao Qin, Guanhua He, Wei-Ngan Chin, Florin Craciun, Mengda He, Zhong Ming:
Automated specification inference in a combined domain via user-defined predicates. Sci. Comput. Program. 148: 189-212 (2017) - [j54]Meikang Qiu, Zhi Chen, Zhong Ming, Xiao Qin, Jianwei Niu:
Energy-Aware Data Allocation With Hybrid Memory for Mobile Cloud Systems. IEEE Syst. J. 11(2): 813-822 (2017) - [j53]Jian-Qiang Li, Zhu-Hong You, Xiao Li, Zhong Ming, Xing Chen:
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1165-1172 (2017) - [j52]Jiajun Wen, Zhihui Lai, Zhong Ming, Wai Keung Wong, Zuofeng Zhong:
Directional Gaussian Model for Automatic Speeding Event Detection. IEEE Trans. Inf. Forensics Secur. 12(10): 2292-2307 (2017) - [j51]Jianqiang Li, Luxiang Huang, Yaoming Zhou, Sui-qiang He, Zhong Ming:
Computation Partitioning for Mobile Cloud Computing in a Big Data Environment. IEEE Trans. Ind. Informatics 13(4): 2009-2018 (2017) - [j50]Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming:
Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. 8(5): 65:1-65:23 (2017) - [j49]Chengwen Luo, Long Cheng, Mun Choon Chan, Yu Gu, Jianqiang Li, Zhong Ming:
Pallas: Self-Bootstrapping Fine-Grained Passive Indoor Localization Using WiFi Monitors. IEEE Trans. Mob. Comput. 16(2): 466-481 (2017) - [j48]Yunhuai Liu, Dian Zhang, Xiaonan Guo, Min Gao, Zhong Ming, Lei Yang, Lionel M. Ni:
RSS-Based Ranging by Leveraging Frequency Diversity to Distinguish the Multiple Radio Paths. IEEE Trans. Mob. Comput. 16(4): 1121-1135 (2017) - [j47]Keke Gai, Meikang Qiu, Zhong Ming, Hui Zhao, Longfei Qiu:
Spoofing-Jamming Attack Strategy Using Optimal Power Distributions in Wireless Smart Grid Networks. IEEE Trans. Smart Grid 8(5): 2431-2439 (2017) - [j46]Xinglin Zhang, Zheng Yang, Yunhao Liu, Jianqiang Li, Zhong Ming:
Toward Efficient Mechanisms for Mobile Crowdsensing. IEEE Trans. Veh. Technol. 66(2): 1760-1771 (2017) - 2016
- [j45]Zhengping Liang, Jiangtao Sun, Qiuzhen Lin, Zhihua Du, Jianyong Chen, Zhong Ming:
A novel multiple rule sets data classification algorithm based on ant colony algorithm. Appl. Soft Comput. 38: 1000-1011 (2016) - [j44]Genghui Li, Qiuzhen Lin, Laizhong Cui, Zhihua Du, Zhengping Liang, Jianyong Chen, Nan Lu, Zhong Ming:
A novel hybrid differential evolution algorithm with modified CoDE and JADE. Appl. Soft Comput. 47: 577-599 (2016) - [j43]Qiuming Luo, Feng Xiao, Zhong Ming, Hao Li, Jianyong Chen, Jianhua Zhang:
Optimizing the Memory Management of a Virtual Machine Monitor on a NUMA System. Computer 49(6): 66-74 (2016) - [j42]Xuancai Zhao, Qiuzhen Lin, Jianyong Chen, Xiaomin Wang, Jianping Yu, Zhong Ming:
Optimizing security and quality of service in a Real-time database system using Multi-objective genetic algorithm. Expert Syst. Appl. 64: 11-23 (2016) - [j41]Weike Pan, Mengsi Liu, Zhong Ming:
Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IEEE Intell. Syst. 31(4): 43-49 (2016) - [j40]Weike Pan, Shanchuan Xia, Zhuode Liu, Xiaogang Peng, Zhong Ming:
Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks. Inf. Sci. 332: 84-93 (2016) - [j39]Qingling Zhu, Qiuzhen Lin, Zhihua Du, Zhengping Liang, Wenjun Wang, Zexuan Zhu, Jianyong Chen, Peizhi Huang, Zhong Ming:
A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. Inf. Sci. 345: 177-198 (2016) - [j38]Jianqiang Li, Shen-peng Zhang, Lei Yang, Xianghua Fu, Zhong Ming, Gang Feng:
Accurate RFID localization algorithm with particle swarm optimization based on reference tags. J. Intell. Fuzzy Syst. 31(5): 2697-2706 (2016) - [j37]Chengwen Luo, Hande Hong, Long Cheng, Mun Choon Chan, Jianqiang Li, Zhong Ming:
Accuracy-aware wireless indoor localization: Feasibility and applications. J. Netw. Comput. Appl. 62: 128-136 (2016) - [j36]Yibin Li, Wenyun Dai, Zhong Ming, Meikang Qiu:
Privacy Protection for Preventing Data Over-Collection in Smart City. IEEE Trans. Computers 65(5): 1339-1350 (2016) - [j35]Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming:
Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. 6(2): 10:1-10:21 (2016) - [j34]Yibin Li, Keke Gai, Zhong Ming, Hui Zhao, Meikang Qiu:
Intercrossed Access Controls for Secure Financial Services on Multimedia Big Data in Cloud Systems. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 67:1-67:18 (2016) - [j33]Yuhong Feng, Junpeng Wang, Zhiqiang Zhang, Haoming Zhong, Zhong Ming, Xuan Yang, Rui Mao:
The Edge Weight Computation with MapReduce for Extracting Weighted Graphs. IEEE Trans. Parallel Distributed Syst. 27(12): 3659-3672 (2016) - [j32]Jianqiang Li, Genqiang Deng, Chengwen Luo, Qiuzhen Lin, Qiao Yan, Zhong Ming:
A Hybrid Path Planning Method in Unmanned Air/Ground Vehicle (UAV/UGV) Cooperative Systems. IEEE Trans. Veh. Technol. 65(12): 9585-9596 (2016) - 2015
- [j31]Zhengping Liang, Ruizhen Song, Qiuzhen Lin, Zhihua Du, Jianyong Chen, Zhong Ming, Jianping Yu:
A double-module immune algorithm for multi-objective optimization problems. Appl. Soft Comput. 35: 161-174 (2015) - [j30]Qiuzhen Lin, Qingling Zhu, Peizhi Huang, Jianyong Chen, Zhong Ming, Jianping Yu:
A novel hybrid multi-objective immune algorithm with adaptive differential evolution. Comput. Oper. Res. 62: 95-111 (2015) - [j29]Qiuzhen Lin, Jianqiang Li, Zhihua Du, Jianyong Chen, Zhong Ming:
A novel multi-objective particle swarm optimization with multiple search strategies. Eur. J. Oper. Res. 247(3): 732-744 (2015) - [j28]Jian-qiang Li, Sui-qiang He, Zhong Ming, Shubin Cai:
An Intelligent Wireless Sensor Networks System with Multiple Servers Communication. Int. J. Distributed Sens. Networks 11: 960173:1-960173:8 (2015) - [j27]Zhijiao Xiao, Jianmin Jiang, Yingying Zhu, Zhong Ming, Sheng-hua Zhong, Shu-Bin Cai:
A solution of dynamic VMs placement problem for energy consumption optimization based on evolutionary game theory. J. Syst. Softw. 101: 260-272 (2015) - [j26]Weike Pan, Hao Zhong, Congfu Xu, Zhong Ming:
Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks. Knowl. Based Syst. 73: 173-180 (2015) - [j25]Weike Pan, Zhuode Liu, Zhong Ming, Hao Zhong, Xin Wang, Congfu Xu:
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation. Knowl. Based Syst. 85: 234-244 (2015) - [j24]Xin Luo, Zhong Ming, Zhuhong You, Shuai Li, Yunni Xia, Hareton Leung:
Improving network topology-based protein interactome mapping via collaborative filtering. Knowl. Based Syst. 90: 23-32 (2015) - [j23]Jianye Hao, Ho-fung Leung, Zhong Ming:
Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems. ACM Trans. Auton. Adapt. Syst. 9(4): 20:1-20:20 (2015) - [j22]Meikang Qiu, Zhong Ming, Jiayin Li, Keke Gai, Ziliang Zong:
Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm. IEEE Trans. Computers 64(12): 3528-3540 (2015) - [j21]Jianwei Niu, Zhong Ming, Meikang Qiu, Hai Su, Zonghua Gu, Xiao Qin:
Defending jamming attack in wide-area monitoring system for smart grid. Telecommun. Syst. 60(1): 159-167 (2015) - 2014
- [j20]Meikang Qiu, Zhong Ming, Jihe Wang, Laurence T. Yang, Yang Xiang:
Enabling Cloud Computing in Emergency Management Systems. IEEE Cloud Comput. 1(4): 60-67 (2014) - [j19]Jianye Hao, Songzheng Song, Ho-fung Leung, Zhong Ming:
An efficient and robust negotiating strategy in bilateral negotiations over multiple items. Eng. Appl. Artif. Intell. 34: 45-57 (2014) - [j18]Weike Pan, Zhong Ming:
Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback. IEEE Intell. Syst. 29(6): 48-54 (2014) - [j17]Dian Zhang, Kezhong Lu, Rui Mao, Yuhong Feng, Yunhuai Liu, Zhong Ming, Lionel M. Ni:
Fine-Grained Localization for Multiple Transceiver-Free Objects by using RF-Based Technologies. IEEE Trans. Parallel Distributed Syst. 25(6): 1464-1475 (2014) - 2013
- [j16]Huisi Wu, Defeng Wang, Lin Shi, Zhenkun Wen, Zhong Ming:
Fast and robust symmetry detection for brain images based on parallel scale-invariant feature transform matching and voting. Int. J. Imaging Syst. Technol. 23(4): 314-326 (2013) - [j15]Meikang Qiu, Lei Zhang, Zhong Ming, Zhi Chen, Xiao Qin, Laurence T. Yang:
Security-aware optimization for ubiquitous computing systems with SEAT graph approach. J. Comput. Syst. Sci. 79(5): 518-529 (2013) - [j14]Gang Wu, Huxing Zhang, Meikang Qiu, Zhong Ming, Jiayin Li, Xiao Qin:
A decentralized approach for mining event correlations in distributed system monitoring. J. Parallel Distributed Comput. 73(3): 330-340 (2013) - [j13]Meikang Qiu, Zhong Ming, Jiayin Li, Jianning Liu, Gang Quan, Yongxin Zhu:
Informer homed routing fault tolerance mechanism for wireless sensor networks. J. Syst. Archit. 59(4-5): 260-270 (2013) - [j12]Zhi Chen, Meikang Qiu, Zhong Ming, Laurence T. Yang, Yongxin Zhu:
Clustering scheduling for hardware tasks in reconfigurable computing systems. J. Syst. Archit. 59(10-D): 1424-1432 (2013) - [j11]Xianghua Fu, Chao Wang, Zhiqiang Wang, Zhong Ming:
Threshold Random Walkers for Community Structure Detection in Complex Networks. J. Softw. 8(2): 286-295 (2013) - [j10]Jiayin Li, Meikang Qiu, Jianwei Niu, Laurence T. Yang, Yongxin Zhu, Zhong Ming:
Thermal-aware task scheduling in 3D chip multiprocessor with real-time constrained workloads. ACM Trans. Embed. Comput. Syst. 12(2): 24:1-24:22 (2013) - [j9]Wenfeng Du, Wei Nie, Zhong Ming, Hongwei Zhang:
A Remainder-Based Contention-Avoidance Scheme for Saturated Wireless CSMA Networks. IEEE Trans. Veh. Technol. 62(2): 772-782 (2013) - 2012
- [j8]Meikang Qiu, Hai Su, Min Chen, Zhong Ming, Laurence Tianruo Yang:
Balance of security strength and energy for a PMU monitoring system in smart grid. IEEE Commun. Mag. 50(5): 142-149 (2012) - [j7]Jiayin Li, Meikang Qiu, Zhong Ming, Gang Quan, Xiao Qin, Zonghua Gu:
Online optimization for scheduling preemptable tasks on IaaS cloud systems. J. Parallel Distributed Comput. 72(5): 666-677 (2012) - [j6]Jianwei Niu, Yuhang Gao, Meikang Qiu, Zhong Ming:
Selecting proper wireless network interfaces for user experience enhancement with guaranteed probability. J. Parallel Distributed Comput. 72(12): 1565-1575 (2012) - [j5]Meikang Qiu, Zhong Ming, Jiayin Li, Shaobo Liu, Bin Wang, Zhonghai Lu:
Three-phase time-aware energy minimization with DVFS and unrolling for Chip Multiprocessors. J. Syst. Archit. 58(10): 439-445 (2012) - 2011
- [j4]Zhijiao Xiao, Zhong Ming:
A method of workflow scheduling based on colored Petri nets. Data Knowl. Eng. 70(2): 230-247 (2011) - [j3]Jiayin Li, Zhong Ming, Meikang Qiu, Gang Quan, Xiao Qin, Tianzhou Chen:
Resource allocation robustness in multi-core embedded systems with inaccurate information. J. Syst. Archit. 57(9): 840-849 (2011) - [j2]Yuhong Feng, Jiannong Cao, Ivan Lau, Zhong Ming, Joseph Kee-Yin Ng:
A component-level self-configuring personal agent platform for pervasive computing. Int. J. Parallel Emergent Distributed Syst. 26(3): 223-238 (2011) - 2005
- [j1]Heng Sun, Shixian Li, Wenjun Li, Zhong Ming, Shubin Cai:
Semantic-based retrieval of remote sensing images in a grid environment. IEEE Geosci. Remote. Sens. Lett. 2(4): 440-444 (2005)
Conference and Workshop Papers
- 2026
- [c170]Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung:
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction. AAAI 2026: 12979-12987 - [c169]Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming:
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment. ACL (Findings) 2026: 14774-14788 - [c168]Qipeng Xie, Zi Liang, Jiafei Wu, Yufei Chen, Weizheng Wang, Wenao Ma, Zhong Ming, Haiqin Yang, Kaishun Wu:
Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality. ACL (Findings) 2026: 41998-42012 - [c167]Yijie Chen, Jiahao Chen, Guannan Liu, Dongqing Li, Shubin Cai, Zhong Ming:
VC-MARAG: Visual-Context Augmented Retrieval and Multi-agent Collaborative Generation for VQA. KSEM (3) 2026: 605-616 - [c166]Dongqing Li, Jiahao Chen, Guannan Liu, Yijie Chen, Shubin Cai, Zhong Ming:
FACTOR: Financial Analysis and Consistency-Testing Oriented Representation. PAKDD (Data Science 1) 2026: 335-347 - [c165]Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming:
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction. SIGIR 2026: 2343-2353 - [c164]Donglin Zhou, Weike Pan, Zhong Ming:
LLM-based Semantic and ID Representations for Sequential Recommendation. SIGIR 2026: 4403-4408 - [c163]Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming:
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation. WSDM 2026: 808-817 - [c162]Weihao Du, Ziran Deng, Weike Pan, Zhong Ming:
Multi-Task Multi-Behavior Sequential Recommendation. WWW 2026: 5920-5929 - 2025
- [c161]Xiaoqing Chen, Zitao Xu, Weike Pan, Zhong Ming:
Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction. CIKM 2025: 342-352 - [c160]Pengwei Liu, Weipeng Cao, Jiawei Qiu, Chuanfei Xu, Xi Tao, Zhong Ming:
AKD: an Asymmetric Knowledge Distillation Algorithm for Time Series Models in Cloud Service Performance Monitoring. ICA3PP (6) 2025: 656-668 - [c159]Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming:
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models. ICCV 2025: 3830-3840 - [c158]Youyi Huang, Honglong Chen, Junhui Kuang, Jianye Fu, Shubin Cai, Zhong Ming:
Distribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction. IJCNN 2025: 1-7 - [c157]Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming:
Scenario Shared Instance Modeling for Click-through Rate Prediction. KDD (1) 2025: 2436-2447 - [c156]Yujia Cao, Xi Tao, Weipeng Cao, Chuanfei Xu, Zhong Ming:
A Review of Optimization Techniques for Large Language Model Inference. KSEM (5) 2025: 257-265 - [c155]Zhihui Shao, Shubin Cai, Rongsheng Lin, Zhong Ming:
Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration. NAACL (Findings) 2025: 4340-4349 - [c154]Xiaolin Lin, Weike Pan, Zhong Ming:
Towards Interest Drift-driven User Representation Learning in Sequential Recommendation. SIGIR 2025: 1541-1551 - [c153]Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming:
Multi-scenario Instance Embedding Learning for Deep Recommender Systems. SIGIR 2025: 2132-2141 - [c152]Shanwen Liu, Xi Tao, Weipeng Cao, Zhong Ming:
Parallelization Techniques for Large Language Models: A Review from Training to Inference. WASA (1) 2025: 307-317 - [c151]Junhui Kuang, Dezhi Zheng, Youyi Huang, Jianye Fu, Shubin Cai, Yinghui Pan, Zhong Ming:
Fast Autonomous Exploration in Complex Environments via the Farthest Cluster Representative and Dynamic Information Gain. WASA (3) 2025: 329-339 - [c150]Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming:
Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. WWW 2025: 1951-1962 - 2024
- [c149]Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming:
Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. CEC 2024: 1-8 - [c148]Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming:
Knowledge Distillation with Classmate. ICIC (2) 2024: 245-256 - [c147]Zhouming Zhu, Lingjie Li, Zhijiao Xiao, Songbai Liu, Lijia Ma, Qiuzhen Lin, Zhong Ming:
A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. ICIC (2) 2024: 281-294 - [c146]Jialei Zhang, Shubin Cai, Zhiwei Jiang, Jian Xiao, Zhong Ming:
FireRobBrain: Planning for a Firefighting Robot using Knowledge Graph and Large Language Model. IDS 2024: 37-41 - [c145]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. IJCAI 2024: 7989-7998 - [c144]Weipeng Cao, Xi Tao, Yinghui Pan, Ye Liu, Zhong Ming:
QoS Perception for Cloud Databases: Necessity, Trends, and Challenges. IWQoS 2024: 1-2 - [c143]Xi Tao, Weipeng Cao, Yinghui Pan, Ye Liu, Zhong Ming:
Improving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach. IWQoS 2024: 1-2 - [c142]Ming Chen, Weike Pan, Zhong Ming:
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD 2024: 329-340 - [c141]Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng:
WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. KSEM (3) 2024: 16-27 - [c140]Shubin Cai, Honglong Chen, Youyi Huang, Zhong Ming:
ComPAT: A Compiler Principles Course Assistant. KSEM (5) 2024: 74-83 - [c139]Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng:
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) 2024: 112-123 - [c138]Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng:
MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification. MMM (1) 2024: 300-313 - [c137]Rongsheng Lin, Shubin Cai, Zhong Ming:
CSLAN: A Novel Lexicon Attention Network for Chinese NER. NLPCC (1) 2024: 339-352 - [c136]Hui Liu, Yinghui Pan, Zhong Ming:
The Material Delivery Route Prediction Method Based on Deep Reinforcement Learning. PDCAT 2024: 154-165 - [c135]Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming:
Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. RecSys 2024: 465-474 - [c134]Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming:
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - [c133]Jing Xiao, Weike Pan, Zhong Ming:
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR 2024: 1578-1588 - [c132]Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming:
A Brief Review on Prediction Methods for Cloud Resource Management. SmartCloud 2024: 92-96 - [c131]Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang:
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM 2024: 414-423 - [c130]Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - 2023
- [c129]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - [c128]Yan Liu, Ying He, Zhong Ming, F. Richard Yu:
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. ECAI 2023: 1560-1567 - [c127]Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming:
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM 2023: 170-179 - [c126]Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming:
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. ICDM 2023: 438-447 - [c125]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM 2023: 1139-1144 - [c124]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming:
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - [c123]Hengzhi Li, Shubin Cai, Zhong Ming:
Legal Judgment Prediction Incorporating Guiding Cases Matching. NLPCC (1) 2023: 511-523 - [c122]Zitao Xu, Weike Pan, Zhong Ming:
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys 2023: 491-501 - [c121]Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming:
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. RecSys 2023: 588-598 - [c120]Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming:
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys 2023: 625-636 - [c119]Yuze Zhang, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Zhong Ming:
A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images. ICSI (1) 2023: 464-475 - [c118]Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - 2022
- [c117]Rian He, Shubin Cai, Zhong Ming, Jialei Zhang:
Weighted self Distillation for Chinese word segmentation. ACL (Findings) 2022: 1757-1770 - [c116]Biyang Ma, Yinghui Pan, Yifeng Zeng, Zhong Ming:
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms. AAMAS 2022: 1911-1913 - [c115]Yinghui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qianwen Li, Biyang Ma, Yi Ji, Zhong Ming:
LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems. AAMAS 2022: 1914-1916 - [c114]Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM 2022: 1379-1388 - [c113]Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming:
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING 2022: 2658-2667 - [c112]Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA 2022: 1-9 - [c111]Zhijiao Xiao, Xiao Liu, Zhong Ming:
A Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs. HPCC/DSS/SmartCity/DependSys 2022: 1173-1179 - [c110]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. ICIC (1) 2022: 27-40 - [c109]Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. ICIC (1) 2022: 41-50 - [c108]Zhangrui Yao, Junhan Chen, Yinghui Pan, Yifeng Zeng, Biyang Ma, Zhong Ming:
Learning a Typhoon Bayesian Network Structure from Natural Language Reports. ICIS 2022: 174-182 - [c107]Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming:
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI 2022: 3802-3808 - [c106]Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN 2022: 1-9 - [c105]Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN 2022: 1-8 - [c104]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN 2022: 1-8 - [c103]Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming:
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN 2022: 1-8 - [c102]Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming:
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS 2022: 1-10 - [c101]Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming:
User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD 2022: 1051-1059 - [c100]Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming:
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys 2022: 268-277 - [c99]Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming:
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM 2022: 666-674 - 2021
- [c98]Feng Liang, Weike Pan, Zhong Ming:
FedRec++: Lossless Federated Recommendation with Explicit Feedback. AAAI 2021: 4224-4231 - [c97]Yifeng Zeng, Zhangrui Yao, Yinghui Pan, Wanqing Chen, Junxin Zhou, Junhan Chen, Biyang Ma, Zhong Ming:
ATPT: Automate Typhoon Contingency Plan Generation from Text. AAMAS 2021: 1788-1790 - [c96]Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Wenhong Wei:
A Modified Decomposition Based Multi-objective Optimization Algorithm for High Dimensional Feature Selection. CCIS 2021: 109-113 - [c95]Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming:
An Improved Weighted Optimization-based Framework for Large-scale MOPs. CEC 2021: 2156-2163 - [c94]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming:
An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems. ICIC (1) 2021: 72-85 - [c93]Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu:
Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning. ICMLC 2021: 101-105 - [c92]Lei Zhang, Yanyan Suo, Ximing Wu, Feng Wang, Yuchi Chen, Laizhong Cui, Jiangchuan Liu, Zhong Ming:
TBRA: Tiling and Bitrate Adaptation for Mobile 360-Degree Video Streaming. ACM Multimedia 2021: 4007-4015 - [c91]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [c90]Zhaohao Lin, Weike Pan, Zhong Ming:
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys 2021: 668-673 - [c89]Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming:
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys 2021: 736-740 - 2020
- [c88]Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, Zhiwu Xu:
Ensemble Neural Networks with Random Weights for Classification Problems. ACAI 2020: 15:1-15:5 - [c87]Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. BigComp 2020: 181-188 - [c86]Xiancong Chen, Weike Pan, Zhong Ming:
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. BigComp 2020: 193-196 - [c85]Weipeng Cao, Pengfei Yang, Zhong Ming, Shubin Cai, Jiyong Zhang:
An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection. BigDataSecurity/HPSC/IDS 2020: 42-48 - [c84]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom 2020: 120-125 - [c83]Shubin Cai, Huaifeng Zhou, Ningsheng Yang, Zhong Ming:
A Simulation Study on Block Generation Algorithm Based on TPS Model. ICA3PP (3) 2020: 155-169 - [c82]Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming:
Broad Learning System with Proportional-Integral-Differential Gradient Descent. ICA3PP (1) 2020: 219-231 - [c81]Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming:
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) 2020: 352-364 - [c80]Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang:
Research Progress of Zero-Shot Learning Beyond Computer Vision. ICA3PP (2) 2020: 538-551 - [c79]Lingjie Li, Wu Lin, Qiuzhen Lin, Zhong Ming:
Balancing Convergence and Diversity in Multiobjective Immune Algorithm. ICACI 2020: 102-109 - [c78]Lingjie Li, Qiuzhen Lin, Zhong Ming:
A Short Survey of Multi-objective Immune Algorithm Based on Clonal Selection. ICIC (2) 2020: 549-559 - [c77]Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming:
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) 2020: 407-419 - [c76]Xiancong Chen, Weike Pan, Zhong Ming:
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IJCNN 2020: 1-8 - [c75]Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming:
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. IJCNN 2020: 1-7 - [c74]Jing Lin, Weike Pan, Zhong Ming:
FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys 2020: 130-139 - [c73]Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020: 831-840 - 2019
- [c72]Wei Dai, Weike Pan, Zhong Ming:
Context-Aware Collaborative Ranking. AIRS 2019: 43-55 - [c71]Lingjie Li, Qiuzhen Lin, Jia Wang, Jianyong Chen, Zhong Ming:
A Novel Multiobjective Particle Swarm Optimization Algorithm with Dynamic Resource Allocation. CEC 2019: 904-911 - [c70]Yuan Liu, Xi Jia, Linlin Shen, Zhong Ming, Jinming Duan:
Local Normalization Based BN Layer Pruning. ICANN (2) 2019: 334-346 - [c69]Jie Chen, Zhuangzhuang Chen, Min Fang, Jianqiang Li, Zhong Ming, Shulan Wang:
A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System. ICARM 2019: 622-627 - [c68]Shubin Cai, Dihui Deng, Jianqiang Li, Jinchun Wen, Chaoqin Chen, Zhong Ming:
Research on Virtual Reality Arm Motion Capture and Recognition. ICARM 2019: 738-743 - [c67]Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu:
Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE 2019: 1178-1189 - [c66]Hua Zheng, Zhixuan Liang, Feng Tian, Zhong Ming:
NMF-Based Comprehensive Latent Factor Learning with Multiview Da. ICIP 2019: 489-493 - [c65]Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming:
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. IJCNN 2019: 1-8 - [c64]Shan Ouyang, Lin Li, Weike Pan, Zhong Ming:
Asymmetric Bayesian personalized ranking for one-class collaborative filtering. RecSys 2019: 373-377 - [c63]Shubin Cai, Huaifeng Zhou, Ningsheng Yang, Zhong Ming:
A TPS Model of Block-Generating Method Based on PoW. SmartCloud 2019: 80-85 - [c62]Song Xia, Meikang Qiu, Meiqin Liu, Ming Zhong, Hui Zhao:
AI Enhanced Automatic Response System for Resisting Network Threats. SmartCom 2019: 221-230 - 2018
- [c61]Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud:
Slice_OP: Selecting Initial Cluster Centers Using Observation Points. ADMA 2018: 17-30 - [c60]Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai:
Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. ELM 2018: 1-10 - [c59]Peiqi Liu, Sheng-hua Zhong, Zhong Ming, Yan Liu:
Information-Oriented Evaluation Metric for Dialogue Response Generation Systems. ICTAI 2018: 780-785 - [c58]Shubin Cai, Ningsheng Yang, Zhong Ming:
A Decentralized Sharding Service Network Framework with Scalability. ICWS 2018: 151-165 - [c57]Yuhong Feng, Song She, Yuanshi Wu, Mingyang Zhou, Zhong Ming, Haoming Zhong:
A RESTful Web Service for Non-overlapping Community Quality Assessment with MPI. ICWS 2018: 280-294 - [c56]Zijie Zeng, Weike Pan, Zhong Ming:
BIS: Bidirectional Item Similarity for Next-Item Recommendation. ICWS 2018: 311-325 - [c55]Lei Li, Weike Pan, Li Chen, Zhong Ming:
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS 2018: 326-336 - [c54]Jing Lin, Weike Pan, Zhong Ming:
MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. ICWS 2018: 337-349 - [c53]Dongdong Gui, Sheng-hua Zhong, Zhong Ming:
Implicit Affective Video Tagging Using Pupillary Response. MMM (2) 2018: 165-176 - [c52]Han Qiu, Meikang Qiu, Gérard Memmi, Zhong Ming, Meiqin Liu:
A Dynamic Scalable Blockchain Based Communication Architecture for IoT. SmartBlock 2018: 159-166 - [c51]Shubin Cai, Dihui Deng, Jinchun Wen, Chaoqin Chen, Zhong Ming, Zhiguang Shan:
Research on Arm Motion Capture of Virtual Reality Based on Kinematics. SmartCom 2018: 356-365 - [c50]Shubin Cai, Xiaogang Feng, Ziwei Deng, Zhong Ming, Zhiguang Shan:
Financial News Quantization and Stock Market Forecast Research Based on CNN and LSTM. SmartCom 2018: 366-375 - [c49]Yi Zeng, Meikang Qiu, Zhong Ming, Meiqin Liu:
Senior2Local: A Machine Learning Based Intrusion Detection Method for VANETs. SmartCom 2018: 417-426 - 2017
- [c48]Yuhong Feng, Meihong Guo, Kezhong Lu, Zhong Ming, Haoming Zhong, Wentong Cai, Zengxiang Li:
Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters. ICPADS 2017: 400-409 - [c47]Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL 2017: 38-41 - [c46]Zhiwu Xu, Cheng Wen, Shengchao Qin, Zhong Ming:
Effective Malware Detection Based on Behaviour and Data Features. SmartCom 2017: 53-66 - [c45]Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, Hua Zheng:
Impact of Probability Distribution Selection on RVFL Performance. SmartCom 2017: 114-124 - [c44]Shubin Cai, Rongjie Huang, Ningsheng Yang, Jinwen Jiang, Zhong Ming, Zhengping Liang, Zhiguang Shan:
Research on Dynamic Safe Loading Techniques in Android Application Protection System. SmartCom 2017: 134-143 - [c43]Hua Zheng, Zhong Ming, Meikang Qiu, Xi Zhang:
Research on Optimizing Last Level Cache Performance for Hybrid Main Memory. SmartCom 2017: 144-153 - [c42]Shubin Cai, Jinchun Wen, Zhong Ming, Zhiguang Shan:
VR3DMaker: A 3D Modeling System Based on Vive. SmartCom 2017: 173-180 - [c41]Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming:
k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom 2017: 406-416 - 2016
- [c40]Yahui Lu, Haofei Yu, Zhong Ming, Hui Wang:
A similarity measurement based on structure of Business Process. CSCWD 2016: 498-503 - [c39]Gang Feng, Jian-qiang Li, Chengwen Luo, Zhong Ming:
PTrack: A RFID-based Tracking Algorithm for Indoor Randomly Moving Targets. SmartCom 2016: 144-153 - [c38]Shubin Cai, Zhiguang Shan, Tian Zeng, Jianfei Yin, Zhong Ming:
Human Activity Recognition Based on Smart Phone's 3-Axis Acceleration Sensor. SmartCom 2016: 163-172 - [c37]Libin Wu, Yahui Lu, Jing Qi, Shubin Cai, Bo Deng, Zhong Ming:
Bug Analysis of Android Applications Based on JPF. SmartCom 2016: 173-182 - [c36]Zhilong Wu, Sheng Xing, Shubin Cai, Zhijiao Xiao, Zhong Ming:
A Genetic-Ant-Colony Hybrid Algorithm for Task Scheduling in Cloud System. SmartCom 2016: 183-193 - [c35]Shubin Cai, Jinchun Wen, Honglong Xu, Siming Chen, Zhong Ming:
Bank Card and ID Card Number Recognition in Android Financial APP. SmartCom 2016: 205-213 - [c34]Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng, Zhiguang Shan, Zhong Ming:
Hybrid One-Class Collaborative Filtering for Job Recommendation. SmartCom 2016: 267-276 - [c33]Chengwen Luo, Jian-qiang Li, Zhong Ming:
E^3 : Efficient Error Estimation for Fingerprint-Based Indoor Localization System. SmartCom 2016: 307-316 - [c32]Huiwen Wang, Jianqiang Li, Yanli Yang, Zhong Ming:
Attribute-Based and Keywords Vector Searchable Public Key Encryption. SmartCom 2016: 317-326 - [c31]Xiang Zhang, Rukhsana Ruby, Jinfeng Long, Lu Wang, Zhong Ming, Kaishun Wu:
WiHumidity: A Novel CSI-Based Humidity Measurement System. SmartCom 2016: 537-547 - [c30]Xinchao Chen, Weike Pan, Zhong Ming:
TOCCF: Time-Aware One-Class Collaborative Filtering. UMAP (Extended Proceedings) 2016 - [c29]Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming:
RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. UMAP (Extended Proceedings) 2016 - 2015
- [c28]Qiuming Luo, Guoqiang Liu, Zhong Ming, Feng Xiao:
Porting and Optimizing SOAP2 on Loongson Architecture. HPCC/CSS/ICESS 2015: 566-570 - [c27]Yi Wang, Lisha Dong, Zhong Ming:
Optimizing Emerging Storage Primitives with Virtualization for Flash Memory Storage Systems. HPCC/CSS/ICESS 2015: 672-677 - [c26]Qiuming Luo, Feng Xiao, Yuanyuan Zhou, Zhong Ming:
Performance Profiling of VMs on NUMA Multicore Platform by Inspecting the Uncore Data Flow. HPCC/CSS/ICESS 2015: 914-917 - [c25]Wenfeng He, Kaishun Wu, Yongpan Zou, Zhong Ming:
WiG: WiFi-Based Gesture Recognition System. ICCCN 2015: 1-7 - [c24]Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming, Dah Ming Chiu:
Analyzing streaming performance in crowdsourcing-based video service systems. LANMAN 2015: 1-6 - 2014
- [c23]Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming:
Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. CIKM 2014: 1999-2002 - [c22]Yahui Lu, Zhong Ming, Haofei Yu, Hui Wang, Li Zhang:
Formalizing Workflow with Location Constraints by Colored Petri Nets. ICEBE 2014: 226-231 - [c21]Xin Yi, Anmin Zhu, Zhong Ming:
A bio-inspired approach to task assignment of multi-robots. SIS 2014: 73-77 - [c20]Hong Zhou, Panpan Xu, Zhong Ming, Huamin Qu:
Parallel Coordinates with Data Labels. VINCI 2014: 49 - 2013
- [c19]Zhu-Hong You, Zhong Ming, Liping Li, Qiao-Ying Huang:
Research on Signaling Pathways Reconstruction by Integrating High Content RNAi Screening and Functional Gene Network. ICIC (2) 2013: 1-10 - [c18]Zhuhong You, Zhong Ming, Ben Niu, Suping Deng, Zexuan Zhu:
A SVM-Based System for Predicting Protein-Protein Interactions Using a Novel Representation of Protein Sequences. ICIC (1) 2013: 629-637 - [c17]Jihe Wang, Bing Guo, Meikang Qiu, Zhong Ming:
Design and Optimization of Traffic Balance Broker for Cloud-Based Telehealth Platform. UCC 2013: 147-154 - 2011
- [c16]Xiaohong Zhang, Yuhong Feng, Shengzhong Feng, Jianping Fan, Zhong Ming:
An effective data locality aware task scheduling method for MapReduce framework in heterogeneous environments. CDC 2011: 235-242 - [c15]Shu-Bin Cai, Heng Sun, Sishan Gu, Zhong Ming:
Learning Concept Hierarchy from Folksonomy. WISA 2011: 47-51 - [c14]Meikang Qiu, Jianning Liu, Jiayin Li, Zongming Fei, Zhong Ming, Edwin Hsing-Mean Sha:
A Novel Energy-Aware Fault Tolerance Mechanism for Wireless Sensor Networks. GreenCom 2011: 56-61 - 2010
- [c13]Sen Jia, Yuntao Qian, Jiming Li, Yan Li, Zhong Ming:
Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing. ICIP 2010: 2305-2308 - [c12]Jiayin Li, Meikang Qiu, Jianwei Niu, Yu Chen, Zhong Ming:
Adaptive resource allocation for preemptable jobs in cloud systems. ISDA 2010: 31-36 - 2008
- [c11]Shu-Bin Cai, Zhong Ming, Shixian Li:
Personalized Reasoner Based on Belief Strengths of Information Sources. AAAI 2008: 1782-1783 - [c10]Xiaogang Peng, Zhong Ming, Haitao Wang:
Text Learning and Hierarchical Feature Selection in Webpage Classification. ADMA 2008: 452-459 - [c9]Zhijiao Xiao, Zhong Ming, Jianfei Yin:
Role-Oriented Workflow Modeling Based on Object Petri Net. ICYCS 2008: 837-843 - [c8]Zhong Ming, Xingan Jiang, Jiancong Bai:
Partheno-Genetic Algorithm for Test Instruction Generation. ICYCS 2008: 1187-1192 - [c7]Jianfei Yin, Zhong Ming, Zhijiao Xiao, Hui Wang:
A Web Performance Modeling Process Based on the Methodology of Learning from Data. ICYCS 2008: 1285-1291 - [c6]Shu-Bin Cai, Zhong Ming, Shixian Li:
BALC: A Belief Extension of Description Logic ALC. ICYCS 2008: 1711-1716 - [c5]Yingying Zhu, Zhong Ming, Jun Zhang:
Video scene classification and segmentation based on Support Vector Machine. IJCNN 2008: 3571-3576 - [c4]Yingying Zhu, Zhong Ming:
SVM-Based Video Scene Classification and Segmentation. MUE 2008: 407-412 - 2007
- [c3]Yingying Zhu, Zhong Ming, Qiang Huang:
Automatic Audio Genre Classification Based on Support Vector Machine. ICNC (1) 2007: 517-521 - [c2]Yingying Zhu, Zhong Ming, Qiang Huang:
SVM-Based Audio Classification for Content- Based Multimedia Retrieval. MCAM 2007: 474-482 - 2002
- [c1]Zhong Ming, Shixian Li, Xiu-rong Fang:
Research on Ontology-Oriented Domain Analysis on MIS. ICFEM 2002: 578-582
Informal and Other Publications
- 2026
- [i31]Wenhao Lai, Weike Pan, Zhong Ming:
Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning. CoRR abs/2601.07294 (2026) - [i30]Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung:
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction. CoRR abs/2601.08293 (2026) - [i29]Zhaoyang Guan, Huixi Cao, Ming Zhong, Eric Yang, Lynn Ai, Yongxin Ni, Bill Shi:
Symphony-Coord: Emergent Coordination in Decentralized Agent Systems. CoRR abs/2602.00966 (2026) - [i28]Tengjin Weng, Wenhao Jiang, Jingyi Wang, Ming Li, Lin Ma, Zhong Ming:
OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models. CoRR abs/2603.09326 (2026) - [i27]Jing Xiao, Dongqi Wu, Liwei Pan, Yawen Luo, Weike Pan, Zhong Ming:
Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation. CoRR abs/2604.14581 (2026) - [i26]Chao Jiang, Dugang Liu, Cheng Wen, Zhiwu Xu, Hua Zheng, Muhammad Sadiq, Jawwad Ahmed Shamsi, Shengchao Qin, Zhong Ming:
Large Language Models for Multilingual Code Intelligence: A Survey. CoRR abs/2604.25960 (2026) - [i25]Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming:
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction. CoRR abs/2605.11433 (2026) - [i24]Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming:
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment. CoRR abs/2605.11662 (2026) - [i23]Jiongjiong Gu, Jianfeng Wang, Zidong Han, Yongqiao Wang, Pengfei Xia, Mingjie Zhang, Hong Liu, Yuanyi Xia, Jiajia Chu, Yifeng Tang, Hui Zang, Xin Yao, Qijie Qiu, Yuzhao Wang, Chuanfei Xu, Lin Zhang, Zhuonan Lai, Hongming Huang, Jiawei Qiu, Gong Zhang, Weipeng Cao, Zhong Ming:
FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location. CoRR abs/2606.04415 (2026) - 2025
- [i22]Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming:
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models. CoRR abs/2503.14939 (2025) - [i21]Donglin Zhou, Weike Pan, Zhong Ming:
Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation. CoRR abs/2510.10556 (2025) - [i20]Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming:
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation. CoRR abs/2512.13396 (2025) - 2024
- [i19]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. CoRR abs/2401.04971 (2024) - [i18]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR abs/2401.15369 (2024) - [i17]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR abs/2402.12733 (2024) - [i16]Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming:
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. CoRR abs/2406.00333 (2024) - [i15]Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - [i14]Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming:
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR abs/2407.17802 (2024) - [i13]Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming:
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. CoRR abs/2412.01141 (2024) - [i12]Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming:
A Survey on Sequential Recommendation. CoRR abs/2412.12770 (2024) - 2023
- [i11]Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR abs/2302.03419 (2023) - [i10]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - [i9]Guowei Wu, Weike Pan, Zhong Ming:
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR abs/2308.01197 (2023) - [i8]Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming:
A Survey on Multi-Behavior Sequential Recommendation. CoRR abs/2308.15701 (2023) - 2022
- [i7]Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming:
Diversifying Agent's Behaviors in Interactive Decision Models. CoRR abs/2203.03068 (2022) - [i6]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR abs/2205.06997 (2022) - [i5]Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. CoRR abs/2207.00759 (2022) - [i4]Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR abs/2207.02773 (2022) - [i3]Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR abs/2212.08854 (2022) - 2020
- [i2]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR abs/2005.08704 (2020) - [i1]Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming:
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices. CoRR abs/2009.02267 (2020)
Coauthor Index
Shubin Cai
aka: Shu-Bin Cai
aka: Shu-Bin Cai
[j229] [j224] [j223] [j217] [j213] [j212] [j211] [j204] [j203] [j200] [j198] [j197] [j195] [j190] [j186] [j184] [j183] [j177] [j176] [j175] [j166] [j163] [j160] [j156] [j152] [j151] [j148] [j145] [j137] [j136] [j134] [j125] [j116] [j109] [j107] [j105] [j104] [j99] [j92] [j91] [j86] [j65] [j62] [j45] [j44] [j42] [j39] [j32] [j31] [j30] [j29] [c170] [c149] [c147] [c119] [c110] [c109] [c96] [c95] [c94] [c79] [c78] [c71] [i30] [i3]
[j230] [j228] [j227] [j226] [j225] [j222] [j221] [j218] [j215] [j214] [j210] [j209] [j208] [j207] [j202] [j201] [j196] [j193] [j192] [j189] [j188] [j187] [j185] [j182] [j180] [j173] [j172] [j170] [j169] [j168] [j165] [j162] [j157] [j155] [j154] [j149] [j147] [j146] [j140] [j132] [j131] [j128] [j127] [j126] [j123] [j118] [j115] [j113] [j112] [j101] [j97] [j90] [j61] [j58] [j50] [j41] [j40] [j35] [j26] [j25] [j18] [c164] [c162] [c161] [c154] [c150] [c145] [c142] [c135] [c133] [c131] [c129] [c127] [c126] [c125] [c122] [c120] [c118] [c114] [c113] [c112] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c91] [c90] [c89] [c87] [c86] [c77] [c76] [c75] [c74] [c73] [c72] [c64] [c56] [c55] [c54] [c47] [c41] [c34] [c30] [c29] [c23] [i31] [i27] [i21] [i19] [i18] [i17] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i6] [i4]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-08-06 22:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
