Zhe Zeng

Zhe Zeng is an incoming Assistant Professor in the Department of Computer Science at the University of Virginia starting July 2025. Currently, she serves as a Faculty Fellow in the Computer Science Department at New York University. She earned her Ph.D. in Computer Science from UCLA in 2024 under Professor Guy Van den Broeck, and her B.S. in Mathematics from Zhejiang University in 2018.

Research Focus: Dr. Zeng specializes in neurosymbolic AI and probabilistic machine learning, developing methods that integrate symbolic knowledge (logical constraints, graph structures) with probabilistic uncertainty. Her work spans three core areas:

• Reasoning: Probabilistic inference, tractable probabilistic models
• Learning: Constrained deep learning, graph ML, weakly supervised learning
• Trustworthiness: Explainability, uncertainty quantification, domain-knowledge integration

Awards & Honors:

• Rising Star in EECS (2023)
• Amazon Doctoral Fellowship (2022)
• NEC Research Fellowship (2021)
• ICML Travel Award (2018)
• Outstanding Graduate, Zhejiang University (2018)

Advising & Mentoring: Has supervised six students including PhD candidates and undergraduates at UCLA, Tsinghua, and CAS, with placements at Princeton and UT Austin.

Academic Service: Regularly reviews for NeurIPS, ICML, ICLR, UAI; served as UAI 2023 discussant; active in WiML mentorship programs.