Peining Zhang
Computer Science Ph.D. student, University of Connecticut
I am a 3rd-year Ph.D. student in the Computer Science and Engineering department of the University of Connecticut, advised by Prof. Jinbo Bi.
From 2021 to 2023, I worked as a Machine Learning Engineer at Kuaishou Co. in the group of personalized ads marketing.
Before that, I obtained a master’s degree of science in computer science from Rutgers University in 2021. I received my bachelor’s degree from the University of Science and Technology of China (USTC), advised by Prof. Linli Xu.
During my undergraduate and master’s studies, I worked on generative models for NLP. I later gained practical experience in data mining and recommendation systems through industry research.
My current research focuses on 3D generative models and drug discovery.
news
| Sep 01, 2026 | Our paper PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion was accepted to NeurIPS 2026. |
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| Nov 01, 2025 | Our paper VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing was accepted as an Oral paper at AAAI 2026. |
| Jun 01, 2025 | Our review Unraveling the Potential of Diffusion Models in Small Molecule Generation was accepted for publication in Drug Discovery Today. |