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Zhe Zeng

Probabilistic Graphical Models Statistical Relational Learning Deep Generative Models Probabilistic Programming
University of Virginia Department of Computer Science

About

Zhe Zeng is an assistant professor in the Department of Computer Science. Prior to that, she was a Faculty Fellow in the Computer Science Department at New York University, working with Andrew Gordon Wilson. She received her Ph.D. in Computer Science at the University of California, Los Angeles, in 2024 under the supervision of Guy Van den Broeck. She received the Amazon Doctoral Student Fellowship in 2022 and the NEC Student Research Fellowship in 2021, and was selected for the Rising Stars in EECS in 2023.

Research Performance Summary

16
Total Papers
258
Total Citations
9
H-Index
2018-2025
Active Research Span

First Recorded Paper

Stein variational message passing for continuous graphical models

Year: 2018

Citations: 65

Venue: International Conference on Machine Learning

Latest Recorded Paper

Deep generative models with hard linear equality constraints

Year: 2025

Citations: 2

Venue: arXiv preprint arXiv:2502.05416

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
1
2024
2
2023
5
2021
2
2020
3
2019
2
2018
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 11
Journal 0
Book 1

Top Coauthors

Zeng Van den Broeck Morettin

Research Impact by Period

2025-2026

Period Stats
Papers 1
Citations 2
Avg. Citations / Paper 2
H-Index 1

2020-2024

Period Stats
Papers 12
Citations 160
Avg. Citations / Paper 13.3
H-Index 7

2015-2019

Period Stats
Papers 3
Citations 96
Avg. Citations / Paper 32
H-Index 2

Contact and Professional Links

Contact Information

zhez@virginia.edu

Detected Research Keywords

Weighted Model Integration Hybrid Probabilistic Inference Probabilistic Inference Logical