SC2Net: Sparse LSTMs for Sparse Coding. - Joey Tianyi Zhou; Kai Di; Jiawei Du 002; Xi Peng 001; Hao Yang 033; Sinno Jialin Pan; Ivor W. Tsang; Yong Liu 026; Zheng Qin 004; Rick Siow Mong Goh (AAAI, 2018)

AnomalyNet: An Anomaly Detection Network for Video Surveillance. - Joey Tianyi Zhou; Jiawei Du 002; Hongyuan Zhu 002; Xi Peng 001; Yong Liu 026; Rick Siow Mong Goh (IEEE Trans. Inf. Forensics Secur., 2019)

Query-efficient Meta Attack to Deep Neural Networks. - Jiawei Du 002; Hu Zhang 005; Joey Tianyi Zhou; Yi Yang 001; Jiashi Feng (ICLR, 2020)

On Robustness of Neural Ordinary Differential Equations. - Hanshu Yan; Jiawei Du 002; Vincent Y. F. Tan; Jiashi Feng (ICLR, 2020)

RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. - Jiawei Du 002; Hanshu Yan; Joey Tianyi Zhou; Rick Siow Mong Goh; Jiashi Feng (CoRR, 2020)

Attention-Driven Loss for Anomaly Detection in Video Surveillance. - Joey Tianyi Zhou; Le Zhang 001; Zhiwen Fang; Jiawei Du 002; Xi Peng 001; Yang Xiao 007 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. - Jiawei Du 002; Hanshu Yan; Jiashi Feng; Joey Tianyi Zhou; Liangli Zhen; Rick Siow Mong Goh; Vincent Y. F. Tan (ICLR, 2022)

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. - Linh D. Le; Huazhu Fu; Xinxing Xu; Yong Liu 026; Yanyu Xu 001; Jiawei Du 002; Joey Tianyi Zhou; Rick Siow Mong Goh (REMIA@MICCAI, 2022)

Sharpness-Aware Training for Free. - Jiawei Du 002; Daquan Zhou; Jiashi Feng; Vincent Y. F. Tan; Joey Tianyi Zhou (NeurIPS, 2022)

Locality-Aware Crowd Counting. - Joey Tianyi Zhou; Le Zhang 001; Jiawei Du 002; Xi Peng 001; Zhiwen Fang; Zhe Xiao; Hongyuan Zhu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. - Ming Yan 007; Cen Chen 002; Jiawei Du 002; Xi Peng 001; Joey Tianyi Zhou; Zeng Zeng (IEEE Trans. Ind. Informatics, 2022)

Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. - Jiawei Du 002; Yidi Jiang; Vincent Y. F. Tan; Joey Tianyi Zhou; Haizhou Li 001 (CVPR, 2023)

Sequential Subset Matching for Dataset Distillation. - Jiawei Du 002; Qin Shi 005; Joey Tianyi Zhou (NeurIPS, 2023)

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning. - Xin Zhang 092; Jiawei Du 002; Yunsong Li 001; Weiying Xie; Joey Tianyi Zhou (CVPR, 2024)

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. - Jiaxiang Liu; Tianxiang Hu; Huimin Xiong; Jiawei Du 002; Yang Feng 011; Jian Wu 001; Joey Zhou; Zuozhu Liu (EMNLP (Findings), 2024)

MedCoT: Medical Chain of Thought via Hierarchical Expert. - Jiaxiang Liu; Yuan Wang; Jiawei Du 002; Joey Zhou; Zuozhu Liu (EMNLP, 2024)

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment. - Jiawei Du 002; Xin Zhang 092; Juncheng Hu; Wenxin Huang; Joey Tianyi Zhou (NeurIPS, 2024)

SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors. - Changbao Zhou; Jiawei Du 002; Ming Yan 007; Hengshan Yue; Xiaohui Wei 002; Joey Tianyi Zhou (J. Syst. Archit., 2024)

Towards Better Unguided Depth Completion via Cross-Modality Knowledge Distillation in the Frequency Domain. - Moyun Liu; Bing Chen; Youping Chen; Jingming Xie; Lei Yao; Yang Zhang 053; Qin Hu 012; Jiawei Du 002; Joey Tianyi Zhou (IEEE Trans. Intell. Veh., 2024)

Markov-PQ: Joint Pruning-Quantization via Learnable Markov Chain. - Yunsong Li 001; Xin Zhang 092; Weiying Xie; Jiaqing Zhang; Leyuan Fang; Jiawei Du 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization. - Xuemei Jia; Jiawei Du 002; Hui Wei 004; Ruinian Xue; Zheng Wang 007; Hongyuan Zhu 002; Jun Chen 001 (AAAI, 2025)

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. - Jiaxiang Liu; Tianxiang Hu; Jiawei Du 002; Ruiyuan Zhang; Joey Tianyi Zhou; Zuozhu Liu (AAAI, 2025)

Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents. - Tianmi Ma; Jiawei Du 002; Wenxin Huang; Wenjie Wang; Liang Xie 001; Xian Zhong; Joey Tianyi Zhou (EMNLP (Findings), 2025)

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator. - Xin Zhang 092; Jiawei Du 002; Ping Liu 004; Joey Tianyi Zhou (ICLR, 2025)

Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation. - Xin Zhang 092; Ziruo Zhang; Jiawei Du 002; Zuozhu Liu; Joey Tianyi Zhou (NeurIPS, 2025)

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction. - Yujing Xue; Jiaxiang Liu; Jiawei Du 002; Joey Tianyi Zhou (WACV, 2025)

MAENet: Boost image-guided point cloud completion more accurate and even. - Moyun Liu; Ziheng Yang; Bing Chen; Youping Chen; Jingming Xie; Lei Yao; Lap-Pui Chau; Jiawei Du 002; Joey Tianyi Zhou (Inf. Fusion, 2025)

DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation. - Yifan Wu 037; Jiawei Du 002; Ping Liu 004; Yuewei Lin; Wei Xu 038; Wenqing Cheng (IEEE Trans. Image Process., 2025)

AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models. - Yao Lu 041; Zhaiyuan Ji; Jiawei Du 002; Shanqing Yu; Qi Xuan 001; Joey Tianyi Zhou (Trans. Mach. Learn. Res., 2025)

LLM Knows Geometry Better than Algebra: Numerical Understanding of LLM-Based Agents in A Trading Arena. - Tianmi Ma; Jiawei Du 002; Wenxin Huang; Wenjie Wang; Liang Xie 001; Xian Zhong; Joey Tianyi Zhou (CoRR, 2025)

Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation. - Xin Zhang 092; Ziruo Zhang; Jiawei Du 002; Zuozhu Liu; Joey Tianyi Zhou (CoRR, 2025)

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution. - Jiawei Du 002; Jinlong Wu; Yuzheng Chen; Yucheng Hu; Bing Li 002; Joey Tianyi Zhou (CoRR, 2025)

On the development of an AI performance and behavioural measures for teaching and classroom management. - Andreea I. Niculescu; Jochen Ehnen; Chen Yi; Jiawei Du 002; Tay Chiat Pin; Joey Tianyi Zhou; Vigneshwaran Subbaraju; Teh Kah Kuan; Tran Huy Dat; John Komar; Gi Soong Chee; Kenneth Kwok (CoRR, 2025)

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling. - Yao Lu 041; Zhaiyuan Ji; Jiawei Du 002; Shanqing Yu; Qi Xuan 001; Tianyi Zhou 007 (CoRR, 2025)

Continuous Disentangled Joint Space Learning for Domain Generalization. - Zizhou Wang; Yan Wang 015; Yangqin Feng; Jiawei Du 002; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Experience-Driven Exploration for Efficient API-Free AI Agents. - Chenwei Tang; Jingyu Xing; Xinyu Liu; Zizhou Wang; Jiawei Du 002; Liangli Zhen; Jiancheng Lv 001 (CoRR, 2025)

Modest-Align: Data-Efficient Alignment for Vision-Language Models. - Jiaxiang Liu; Yuan Wang; Jiawei Du 002; Joey Tianyi Zhou; Mingkun Xu; Zuozhu Liu (CoRR, 2025)

Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes. - Zizhou Wang; Yan Wang 015; Yangqin Feng; Jiawei Du 002; Joey Tianyi Zhou; Rick Siow Mong Goh; Yong Liu 026; Liangli Zhen (IEEE Trans. Neural Networks Learn. Syst., 2026)

Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition. - Xuemei Jia; Jiawei Du 002; Hui Wei 004; Jun Chen 001; Joey Tianyi Zhou; Zheng Wang 007 (CoRR, 2026)

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs. - Xin Zhang 092; Qiqi Tao; Jiawei Du 002; Moyun Liu; Joey Tianyi Zhou (CoRR, 2026)

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation. - Zhixuan Shen; Jiawei Du 002; Ziyu Guo; Han Luo; Lilan Peng; Joey Tianyi Zhou; Haonan Luo 002; Tianrui Li 001 (CoRR, 2026)

Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction. - Juncheng Hu; Jiawei Du 002; Xin Zhang 092; Joey Tianyi Zhou (CoRR, 2026)