Wei Chen PhD Student Department of Computer Science and Engineering The Hong Kong University of Science and Technology Email: csewei.chen AT connect DOT ust DOT hk

Biography

I am a PhD student in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, where I am advised by Prof. Long Chen in the LONG Group. Prior to this, I obtained my bachelor's degree from the School of Computer Science at Wuhan University, under the supervision of Prof. Yu Wu.

Research Interests

My research interests lie in multi-modal content understanding and generation, which include:

• Vision-language alignment in Multi-modal Large Language Models (MLLM)
• Reinforcement Learning from Human Feedback (RLHF) in MLLM
• Unified multi-modal understanding and generation with mutual enhancement

🔍 I am currently seeking Summer 2026 internships related to Multi-modal Large Language Models (MLLM). Please feel free to contact me if you have any opportunities!

Publications

Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension

Lin Li*, Wei Chen*, Jiahui Li, Kwang-Ting Cheng, Long Chen

AAAI Conference on Artificial Intelligence (AAAI), 2026

[paper] [code]

Thyme: Think Beyond Images

Yi-Fan Zhang, Xingyu Lu, Shukang Yin, Chaoyou Fu, Wei Chen, Xiao Hu, Bin Wen, et al.

Arxiv Preprint, 2025

[paper] [code]

Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models

Wei Chen, Xin Yan, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Long Chen

Neural Information Processing Systems (NeurIPS), 2025

[paper] [code]

CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation

Wei Chen*, Lin Li*, Yongqi Yang*, Bin Wen, Fan Yang, Tingting Gao, Yu Wu, Long Chen

Computer Vision and Pattern Recognition (CVPR Highlight), 2025

[paper] [code]

An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding

Wei Chen, Long Chen, Yu Wu

European Conference on Computer Vision (ECCV), 2024

[paper] [code]

Internship Experience