Chen Wei

Chen Wei is an Assistant Professor of Computer Science at Rice University (starting Fall 2025) and a Postdoctoral Researcher at Meta AI's FAIR division. She holds a PhD from Johns Hopkins University (2024) and a B.Sc. from Peking University (2019). Her research focuses on advancing visual intelligence through generative AI, multimodal learning, and self-supervised learning. She has been recognized with awards such as EECS Rising Stars (2023) and Most Influential CVPR Papers (2023).

Education:

• PhD, Computer Science, Johns Hopkins University (2024)
• BSc with Honors, Computer Science, Peking University (2019)

Research Interests:

Chen's work addresses core challenges in AI by transforming visual data into structured knowledge. Key areas include:

• Generative Understanding: Building world models via generative systems
• Multimodal Learning: Integrating visual data with LLMs for higher-order cognition
• Self-Supervised Learning: Discovering structures in raw visual data

Awards:

• EECS Rising Stars, 2023
• Most Influential CVPR Papers, 2023

Lab Openings:

Recruiting PhD students (2025) and Rice undergraduates. Focus areas include generative models, multimodal systems, and scalable self-supervised learning. Contact via email for advising inquiries.