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Mingda Chen (陈明达)Associate Professor Email: mingdachen [at] sjtu [dot] edu [dot] cn |
About
Hello! I am an Associate Professor in the School of Artificial Intelligence at Shanghai Jiao Tong University. Previously, I was a Research Scientist at Meta Fundamental AI Research (FAIR), where I led work on pretraining, multimodality, and memory. I was recognized as a Google PhD Fellow.
Prospective students: We are recruiting PhD students, master students, and interns.
Our group has openings for PhD and master’s students every year. Visiting students and research interns are expected to stay for at least six months to ensure high-quality research outcomes.
We generally look for candidates with hands-on experience in finetuning transformer models and a basic understanding of the large language model field. Prior publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) are a plus.
Interested applicants should email me their CV, a brief description of their research interests, and past research experiences. In your email, please also explain how your interests or prior work align with our group’s research focuses.
Note: I receive a large number of emails and cannot always reply to everyone. Please do not take it personally if you do not hear back quickly. It is much more representative of my failings than of yours.
News
- 2026-04Serving as a senior area chair for EMNLP 2026.
- 2026-03Serving as a senior area chair for ARR March 2026 and as an area chair for NeurIPS 2026.
- 2026-01Serving as a senior area chair for ACL 2026.
Research
My research broadly focuses on natural language processing, and multimodal understanding and generation. Current research interests include:
Retrieval- and memory-augmentation
Multimodal large language models and world models
Factuality and attributions
Evaluation benchmarks and metrics