📜 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. Now, I have interned at the Shanghai AI Lab.

My research area lies at:

• Retrieval augmented generation
• NLP application in medical domain
• Multimodal computing
• Speech and language

🎓 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

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

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

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] [paper]

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] [paper] [project] [机器之心]

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] [paper] [挑战赛冠军回顾]

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

• Zhe Chen, Hongcheng Liu, Yu Wang^✉️
• [TASLP (SCI Top Journal)] [paper]

🏅 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 - now, Intern, Shanghai AI Lab, Shanghai, China