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Wenbin Zhou

Ph.D. Student
Carnegie Mellon University
wenbinz2 (at) andrew.cmu.edu


Welcome!

I am a Ph.D. student (2023-) joint with Heinz College and Machine Learning Department at Carnegie Mellon University, advised by Woody Zhu. Previously, I received my B.S. in Statistics at University of Science and Technology of China. My research field lies in the intersection of machine learning, statistics, and operations research. I am interested in developing data-driven computational frameworks to enable efficient and effective analytics and decision making.

Papers

[1] Sequential Change Point Detection via Denoising Score Matching [arXiv] [code]
Wenbin Zhou, Liyan Xie, Zhigang Peng and Shixiang Zhu

[2] Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption [arXiv] [poster]
Wenbin Zhou, Shixiang Zhu, Feng Qiu and Xuan Wu
IEEE Power & Energy Society General Meeting (PESGM), 2025

[3] Recurrent Neural Goodness-of-Fit Test for Time Series [arXiv] [poster] [code]
Aoran Zhang, Wenbin Zhou, Liyan Xie and Shixiang Zhu
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

[4] Distance-Preserving Spatial Representations in Genomic Data [arXiv] [slides] [talk]
Wenbin Zhou and Jin-Hong Du
International Workshop on Data Mining in Bioinformatics (BIOKDD), 2024

[5] Counterfactual Generative Models for Time-varying Treatments [arXiv] [poster] [code] [media]
Shenghao Wu, Wenbin Zhou, Minshuo Chen, and Shixiang Zhu
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024

Software

[1] AES Indiana 2025-2050 EVPV Projection Dashboard [EV] [PV] [slides]
Featured in AES Indiana’s Integrated Resource Plan (IRP), advisory meetings, and public report, 2025.

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