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ORCIDJiawei Du 0002
Person information
- affiliation: Agency for Science, Technology and Research, Singapore
Other persons with the same name
- Jiawei Du — disambiguation page
- Jiawei Du 0001
![[0000-0002-1427-6118]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-1427-6118")
— Xi'an University of Architecture and Technology, Xi'an, China - Jiawei Du 0003 — National Taiwan University, Taipei, Taiwan
- Jiawei Du 0004 — Xi'an University of Technology, Xi'an, China
- Jiawei Du 0005 — Xi'an Jiaotong Liverpool University, Suzhou, Jiangsu, China
- Jiawei Du 0006 — Beijing Institute of Technology, Beijing, China
- Jiawei Du 0007 — Huazhong University of Science and Technology, Wuhan, Hubei, China
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2020 – today
- 2026
[j12]Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh, Yong Liu, Liangli Zhen:
Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes. IEEE Trans. Neural Networks Learn. Syst. 37(3): 1263-1276 (2026)- [i25]Xuemei Jia, Jiawei Du, Hui Wei, Jun Chen, Joey Tianyi Zhou, Zheng Wang:
Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition. CoRR abs/2604.07884 (2026) - [i24]Xin Zhang, Qiqi Tao, Jiawei Du, Moyun Liu, Joey Tianyi Zhou:
Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs. CoRR abs/2605.02735 (2026) - [i23]Zhixuan Shen, Jiawei Du, Ziyu Guo, Han Luo, Lilan Peng, Joey Tianyi Zhou, Haonan Luo, Tianrui Li:
Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation. CoRR abs/2605.10118 (2026) - [i22]Juncheng Hu, Jiawei Du, Xin Zhang, Joey Tianyi Zhou:
Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction. CoRR abs/2605.20743 (2026) - 2025
- [j11]Moyun Liu, Ziheng Yang, Bing Chen, Youping Chen, Jingming Xie, Lei Yao, Lap-Pui Chau, Jiawei Du, Joey Tianyi Zhou:
MAENet: Boost image-guided point cloud completion more accurate and even. Inf. Fusion 122: 103179 (2025) - [j10]Yifan Wu, Jiawei Du, Ping Liu, Yuewei Lin, Wei Xu, Wenqing Cheng:
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation. IEEE Trans. Image Process. 34: 2052-2066 (2025) - [j9]Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Joey Tianyi Zhou:
AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [j8]Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Yong Liu, Rick Siow Mong Goh, Liangli Zhen:
Continuous Disentangled Joint Space Learning for Domain Generalization. IEEE Trans. Neural Networks Learn. Syst. 36(7): 13122-13134 (2025) - [c18]Xuemei Jia, Jiawei Du, Hui Wei, Ruinian Xue, Zheng Wang, Hongyuan Zhu, Jun Chen:
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization. AAAI 2025: 17608-17616 - [c17]Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu:
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. AAAI 2025: 18852-18860 - [c16]Tianmi Ma, Jiawei Du, Wenxin Huang, Wenjie Wang, Liang Xie, Xian Zhong, Joey Tianyi Zhou:
Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents. EMNLP (Findings) 2025: 5496-5514 - [c15]Xin Zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou:
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator. ICLR 2025 - [c14]Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou:
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation. NeurIPS 2025 - [c13]Yujing Xue, Jiaxiang Liu, Jiawei Du, Joey Tianyi Zhou:
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction. WACV 2025: 2746-2755 - [i21]Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu:
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. CoRR abs/2501.11231 (2025) - [i20]Tianmi Ma, Jiawei Du, Wenxin Huang, Wenjie Wang, Liang Xie, Xian Zhong, Joey Tianyi Zhou:
LLM Knows Geometry Better than Algebra: Numerical Understanding of LLM-Based Agents in A Trading Arena. CoRR abs/2502.17967 (2025) - [i19]Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou:
Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation. CoRR abs/2505.14705 (2025) - [i18]Jiawei Du, Jinlong Wu, Yuzheng Chen, Yucheng Hu, Bing Li, Joey Tianyi Zhou:
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution. CoRR abs/2505.17673 (2025) - [i17]Andreea I. Niculescu, Jochen Ehnen, Chen Yi, Jiawei Du, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, John Komar, Gi Soong Chee, Kenneth Kwok:
On the development of an AI performance and behavioural measures for teaching and classroom management. CoRR abs/2506.11143 (2025) - [i16]Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Tianyi Zhou:
From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling. CoRR abs/2506.16393 (2025) - [i15]Chenwei Tang, Jingyu Xing, Xinyu Liu, Zizhou Wang, Jiawei Du, Liangli Zhen, Jiancheng Lv:
Experience-Driven Exploration for Efficient API-Free AI Agents. CoRR abs/2510.15259 (2025) - [i14]Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Mingkun Xu, Zuozhu Liu:
Modest-Align: Data-Efficient Alignment for Vision-Language Models. CoRR abs/2510.21606 (2025) - 2024
- [j7]Changbao Zhou, Jiawei Du, Ming Yan, Hengshan Yue, Xiaohui Wei, Joey Tianyi Zhou:
SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors. J. Syst. Archit. 156: 103284 (2024) - [j6]Yunsong Li, Xin Zhang, Weiying Xie, Jiaqing Zhang, Leyuan Fang, Jiawei Du:
Markov-PQ: Joint Pruning-Quantization via Learnable Markov Chain. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12837-12848 (2024) - [j5]Moyun Liu, Bing Chen, Youping Chen, Jingming Xie, Lei Yao, Yang Zhang, Qin Hu, Jiawei Du, Joey Tianyi Zhou:
Towards Better Unguided Depth Completion via Cross-Modality Knowledge Distillation in the Frequency Domain. IEEE Trans. Intell. Veh. 9(11): 7312-7325 (2024) - [c12]Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou:
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning. CVPR 2024: 26213-26222 - [c11]Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu:
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. EMNLP (Findings) 2024: 9978-9992 - [c10]Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Zhou, Zuozhu Liu:
MedCoT: Medical Chain of Thought via Hierarchical Expert. EMNLP 2024: 17371-17389 - [c9]Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou:
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment. NeurIPS 2024 - [i13]Yifan Wu, Jiawei Du, Ping Liu, Yuewei Lin, Wenqing Cheng, Wei Xu:
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation. CoRR abs/2403.13322 (2024) - [i12]Xin Zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou:
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator. CoRR abs/2408.06927 (2024) - [i11]Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou:
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment. CoRR abs/2409.17612 (2024) - [i10]Yujing Xue, Jiaxiang Liu, Jiawei Du, Joey Tianyi Zhou:
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction. CoRR abs/2412.07616 (2024) - [i9]Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu:
MedCoT: Medical Chain of Thought via Hierarchical Expert. CoRR abs/2412.13736 (2024) - 2023
- [c8]Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li:
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CVPR 2023: 3749-3758 - [c7]Jiawei Du, Qin Shi, Joey Tianyi Zhou:
Sequential Subset Matching for Dataset Distillation. NeurIPS 2023 - [i8]Jiawei Du, Qin Shi, Joey Tianyi Zhou:
Sequential Subset Matching for Dataset Distillation. CoRR abs/2311.01570 (2023) - [i7]Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou:
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning. CoRR abs/2311.13613 (2023) - 2022
- [j4]Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu:
Locality-Aware Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3602-3613 (2022) - [j3]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng:
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 18(5): 3349-3357 (2022) - [c6]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR 2022 - [c5]Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh:
An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. REMIA@MICCAI 2022: 65-74 - [c4]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. NeurIPS 2022 - [i6]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. CoRR abs/2205.14083 (2022) - [i5]Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li:
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CoRR abs/2211.11004 (2022) - 2021
- [i4]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR abs/2110.03141 (2021) - 2020
- [j2]Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao:
Attention-Driven Loss for Anomaly Detection in Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4639-4647 (2020) - [c3]Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. ICLR 2020 - [c2]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. ICLR 2020 - [i3]Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng:
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR abs/2004.14798 (2020)
2010 – 2019
- 2019
- [j1]Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh:
AnomalyNet: An Anomaly Detection Network for Video Surveillance. IEEE Trans. Inf. Forensics Secur. 14(10): 2537-2550 (2019) - [i2]Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. CoRR abs/1906.02398 (2019) - [i1]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. CoRR abs/1910.05513 (2019) - 2018
- [c1]Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh:
SC2Net: Sparse LSTMs for Sparse Coding. AAAI 2018: 4588-4595
Coauthor Index
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