Scholar
Chenyu Wang
Google Scholar ID: Kq0dhLAAAAAJ
MIT
Citations & Impact
Citations
468
H-index
8
i10-index
7
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including but not limited to 'SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models'. Some works have been recognized at top conferences like ICLR 2025 and NeurIPS 2025.
Research Experience
- Interned at Meta FAIR and Genentech; her research focuses on developing controllable and efficient generative models via reinforcement learning, multi-modal learning, and representation learning, applied to language models, vision, and scientific data (e.g., biochemistry).
Education
- Currently a fourth-year PhD candidate at MIT CSAIL, advised by Prof. Tommi Jaakkola. She obtained her Bachelor’s degree from Tsinghua University, working as a research assistant under the supervision of Mingsheng Long. Also worked as a research intern with Mengdi Wang at Princeton University and Cyrus Shahabi at the University of Southern California.
Background
- Research interests lie broadly in deep generative models, reinforcement learning, multi-modal learning, and AI for science. During her PhD, she interned at Meta FAIR and Genentech, supported by the Citadel GQS PhD Fellowship.
Miscellany
- Links to Google Scholar, LinkedIn, and Twitter are provided on her personal website, along with an updated resume as of October 2025.
Co-authors