Yuzhou Chen

Department of Statistics. University of California, Riverside.

I am a tenure-track Assistant Professor in Department of Statistics at University of California, Riverside. I am also an Adjunct Assistant Professor in Department of Computer and Information Sciences at Temple University, and a Visiting Research Collaborator in Department of Electrical and Computer Engineering at Princeton University. Before that, I worked as a postdoctoral scholar, advised by H. Vincent Poor, in Department of Electrical and Computer Engineering at Princeton University. I received my Ph.D. in Statistics from Southern Methodist University advised by ‪Hon Keung Tony Ng and Yulia R. Gel.

My research interests are machine learning, deep learning, graph mining, knowledge reasoning, knowledge graph, topological data analysis, reliability theory, nonparametric statistics, and their applications.

Email: yuzhouc (at) ucr (dot) edu

Office: 1442 Olmsted Hall

Address: 900 University Ave., Riverside, CA 92521

I am looking for several highly motivated Ph.D. students/interns in Winter 2026, Spring 2026, and Fall 2026 to join my group. If you are interested, please contact me at yuzhouc (at) ucr (dot) edu. Include your CV and brief highlights of Statistics/ML/DL-related projects.

News

June 2025: Proposal "Collaborative Research: AMPS: Simplicial-Topological Modeling for Flexible Integration of Ultra-High-Dimensional Distributed Energy Resources" funded by NSF!
June 2025: Proposal "Collaborative Research: RAPID: Cyberinfratructure Platform LAFireKG: Learning from Los Angeles Fires with Knowledge Graphs, Remote Sensing, and Large Language Models" funded by NSF!
May 2025: One paper accepted by ICML 2025!
Jan 2025: Honored to receive a research grant from UCR SoCal OASIS!
Jan 2025: One paper accepted by ICLR 2025!
Jan 2025: One paper accepted by AISTATS 2025!
Jan 2025: One paper accepted by WWW 2025!

Selected Publications

TopoGCL: Topological Graph Contrastive Learning

Yuzhou Chen, Yulia R. Gel
AAAI Conference on Artificial Intelligence 2024

A simplicial epidemic model for COVID-19 spread analysis

Yuzhou Chen, Yulia R. Gel, Madhav V. Marathe, H. Vincent Poor
Proceedings of the National Academy of Sciences 2024

Learning Power Grid Outages with Higher-Order Topological Neural Networks

Yuzhou Chen, Roshni Anna Jacob, Yulia R. Gel, Jie Zhang, H. Vincent Poor
IEEE Transactions on Power Systems 2023

BScNets: Block Simplicial Complex Neural Networks

Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
AAAI Conference on Artificial Intelligence 2022

TopoAttn-Nets: Topological Attention in Graph Representation Learning

Yuzhou Chen, Elena Sizikova, Yulia R. Gel
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

Yuzhou Chen, Ignacio Segovia, Yulia R. Gel
International Conference on Machine Learning 2021

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