Scholar
Zhe Zeng
Google Scholar ID: PyK6cB0AAAAJ
University of Virginia
Citations & Impact
Citations
230
H-index
9
i10-index
9
Publications
17
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in conferences such as ICLR 2024 and NeurIPS 2023. Received the Amazon Doctoral Student Fellowship in 2022 and the NEC Student Research Fellowship in 2021. Selected for UVA Engineering Rising Scholars in 2025 and the Rising Stars in EECS in 2023.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science at the University of Virginia, directing the Trustworthy AI through Knowledge and Optimization (TAKO) Lab. Previously a Faculty Fellow in the Computer Science Department at New York University (NYU), hosted by Prof. Andrew Gordon Wilson.
Education
- Obtained B.S. in Mathematics and Applied Mathematics from Zhejiang University in 2018; Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) in 2024, advised by Prof. Guy Van den Broeck.
Background
- Research interests lie broadly in artificial intelligence (AI) and machine learning (ML) with a recent focus on neurosymbolic AI and probabilistic ML. Aims to enable and support decision-making in the real world in the presence of probabilistic uncertainty and symbolic knowledge to achieve trustworthy AI and aid scientific discoveries.
Miscellany
- Office: Rice Hall 105; Email: zhez [at] virginia [dot] edu
