📜 Biography

I am a Ph.D. candidate jointly supervised by Shanghai Jiao Tong University and the Shanghai AI Lab, advised by Prof. Yu Wang (王钰).

I received my B.E. degree in Information Engineering (IEEE Honor Class) from Shanghai Jiao Tong University (SJTU), Shanghai, China, in 2022. I am currently pursuing the Ph.D. degree in SJTU.

My research area lies at:

• Retrieval augmented generation
• NLP application in medical domain

🎓 Education

• 2022.09 - now, Ph.D. in Information and Communication Engineering, Shanghai Jiao Tong University, Shanghai, China
• 2018.09 - 2022.06, Bachelor in Information Engineering (IEEE Honor Class), Shanghai Jiao Tong University, Shanghai, China

📝 Publications

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks

• Zhe Chen, Yusheng Liao, Shuyang Jiang, Zhiyuan Zhu, Haolin Li, Yanfeng Wang, Yu Wang^✉️
• [Arxiv Preprint 2025] [link]

Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications

• Zhe Chen, Yusheng Liao, Shuyang Jiang, Pingjie Wang, Yiqiu Guo, Yanfeng Wang, Yu Wang^✉️
• [ACL 2025 Main] [link]

M³AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset

• Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang^✉️, Yu Wang^✉️, Yanfeng Wang
• [ACL 2024 Main] [link] [机器之心]

DialogMCF: Multimodal Context Flow for Audio Visual Scene-Aware Dialog

• Zhe Chen, Hongcheng Liu, Yu Wang^✉️
• [TASLP 2023 (Journal)] [link]

MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision

• Shuyang Jiang, Yusheng Liao, Zhe Chen, Ya Zhang^✉️, Yanfeng Wang, Yu Wang^✉️
• [AAAI 2026] [link]

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis

• Haolin Li*, Tianjie Dai*, Zhe Chen, Siyuan Du, Jiangchao Yao^✉️, Ya Zhang, Yanfeng Wang^✉️
• [NeurIPS 2025] [link]

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models

• YiQiu Guo, Yuchen Yang, Zhe Chen, Pingjie Wang, Yusheng Liao, Ya Zhang^✉️, Yanfeng Wang, Yu Wang^✉️
• [EMNLP 2025 Main] [link]

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction

• Yiqi Li, Yusheng Liao, Zhe Chen, Yanfeng Wang, Yu Wang^✉️
• [EMNLP 2025 Main] [link]

EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge

• Zhiyuan Zhu*, Yusheng Liao*, Zhe Chen, Yuhao Wang, Yunfeng Guan^✉️, Yanfeng Wang, Yu Wang^✉️
• [ACL 2025 Main] [link]

Reconstruct the Pruned Model Without Retraining

• Pingjie Wang, Ziqing Fan, Shengchao Hu, Zhe Chen, Yanfeng Wang, Yu Wang^✉️
• [JSTSP 2025 (Journal)] [link]

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation

• Yusheng Liao*, Shuyang Jiang*, Zhe Chen, Yanfeng Wang, Yu Wang^✉️
• [EMNLP 2024 Findings] [link]

MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation

• Hongcheng Liu, Zhe Chen, Hui Li, Pingjie Wang, Yanfeng Wang, Yu Wang^✉️
• [ICASSP 2024] [link]

Towards Optimizing Pre-trained Language Model Ensemble Learning for Task-oriented Dialogue System

• Zhiyuan Zhu, Yusheng Liao, Zhe Chen, Yu Wang^✉️, Yunfeng Guan^✉️
• [DSTC 2023] [link] [挑战赛冠军回顾]

🏅 Selected Awards

• 2023.04, the first prize in Track 5 of the 11th Dialog System Technology Challenge. It was reported by SJTU News, Shanghai AI Lab News, SEIEE News and CMIC News.

💻 Work Experience

• 2024.03 - 2025.09, Intern, Shanghai AI Lab, Shanghai, China