Jiawei Du

According to our database, Jiawei Du authored at least 42 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction.

Juncheng Hu, Jiawei Du, Xin Zhang, Joey Tianyi Zhou

CoRR, May, 2026

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation.

Zhixuan Shen, Jiawei Du, Ziyu Guo, Han Luo, Lilan Peng, Joey Tianyi Zhou, Haonan Luo, Tianrui Li

CoRR, May, 2026

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs.

Xin Zhang, Qiqi Tao, Jiawei Du, Moyun Liu, Joey Tianyi Zhou

CoRR, May, 2026

Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition.

Xuemei Jia, Jiawei Du, Hui Wei, Jun Chen, Joey Tianyi Zhou, Zheng Wang

CoRR, April, 2026

Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes.

Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh, Yong Liu, Liangli Zhen

IEEE Trans. Neural Networks Learn. Syst., March, 2026

2025

Modest-Align: Data-Efficient Alignment for Vision-Language Models.

Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Mingkun Xu, Zuozhu Liu

CoRR, October, 2025

Experience-Driven Exploration for Efficient API-Free AI Agents.

Chenwei Tang, Jingyu Xing, Xinyu Liu, Zizhou Wang, Jiawei Du, Liangli Zhen, Jiancheng Lv

CoRR, October, 2025

Continuous Disentangled Joint Space Learning for Domain Generalization.

Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Yong Liu, Rick Siow Mong Goh, Liangli Zhen

IEEE Trans. Neural Networks Learn. Syst., July, 2025

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling.

Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Tianyi Zhou

CoRR, June, 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, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, John Komar, Gi Soong Chee, Kenneth Kwok

CoRR, June, 2025

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution.

Jiawei Du, Jinlong Wu, Yuzheng Chen, Yucheng Hu, Bing Li, Joey Tianyi Zhou

CoRR, May, 2025

Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation.

Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou

CoRR, May, 2025

LLM Knows Geometry Better than Algebra: Numerical Understanding of LLM-Based Agents in A Trading Arena.

Tianmi Ma, Jiawei Du, Wenxin Huang, Wenjie Wang, Liang Xie, Xian Zhong, Joey Tianyi Zhou

CoRR, February, 2025

AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models.

Yao Lu, Zhaiyuan Ji, Jiawei Du, Shanqing Yu, Qi Xuan, Joey Tianyi Zhou

Trans. Mach. Learn. Res., 2025

DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation.

Yifan Wu, Jiawei Du, Ping Liu, Yuewei Lin, Wei Xu, Wenqing Cheng

IEEE Trans. Image Process., 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, Joey Tianyi Zhou

Inf. Fusion, 2025

PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction.

Yujing Xue, Jiaxiang Liu, Jiawei Du, Joey Tianyi Zhou

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation.

Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator.

Xin Zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents.

Tianmi Ma, Jiawei Du, Wenxin Huang, Wenjie Wang, Liang Xie, Xian Zhong, Joey Tianyi Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models.

Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization.

Xuemei Jia, Jiawei Du, Hui Wei, Ruinian Xue, Zheng Wang, Hongyuan Zhu, Jun Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Markov-PQ: Joint Pruning-Quantization via Learnable Markov Chain.

Yunsong Li, Xin Zhang, Weiying Xie, Jiaqing Zhang, Leyuan Fang, Jiawei Du

IEEE Trans. Circuits Syst. Video Technol., December, 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, Qin Hu, Jiawei Du, Joey Tianyi Zhou

IEEE Trans. Intell. Veh., November, 2024

SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors.

Changbao Zhou, Jiawei Du, Ming Yan, Hengshan Yue, Xiaohui Wei, Joey Tianyi Zhou

J. Syst. Archit., 2024

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment.

Jiawei Du, Xin Zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MedCoT: Medical Chain of Thought via Hierarchical Expert.

Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Zhou, Zuozhu Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis.

Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning.

Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Sequential Subset Matching for Dataset Distillation.

Jiawei Du, Qin Shi, Joey Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation.

Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things.

Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng

IEEE Trans. Ind. Informatics, 2022

Locality-Aware Crowd Counting.

Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Sharpness-Aware Training for Free.

Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.

Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.

Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Attention-Driven Loss for Anomaly Detection in Video Surveillance.

Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao

IEEE Trans. Circuits Syst. Video Technol., 2020

RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement.

Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng

CoRR, 2020

On Robustness of Neural Ordinary Differential Equations.

Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng

Proceedings of the 8th International Conference on Learning Representations, 2020

Query-efficient Meta Attack to Deep Neural Networks.

Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

AnomalyNet: An Anomaly Detection Network for Video Surveillance.

Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh

IEEE Trans. Inf. Forensics Secur., 2019

2018

SC2Net: Sparse LSTMs for Sparse Coding.

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018