Ganghua Wang
Ph. D. Candidate
School of Statistics
University of Minnesota
492 Ford Hall
224 Church Street SE
Minneapolis, MN 55455

Hi, I am Ganghua Wang, a fifth-year Ph. D. student at the School of Statistics, University of Minnesota. I am fortunately advised by Prof. Jie Ding and Prof. Yuhong Yang. My academic journey is fueled by a deep passion for statistical learning methods and their real-world applications. Currently, I'm engrossed in machine learning safety, delving into both the theoretical foundations and the development of practical algorithms. Feel free to explore my website to learn more about my research.

Education

Ph.D., School of Statistics, University of Minnesota, Aug. 2019 - present

B.S., Statistics, Peking University, Sept. 2015 - July 2019

News

Our paper “Demystifying Poisoning Backdoor Attacks from a Statistical Perspective” was accepted by ICLR 2024!

Our paper “Unified Framework for Inference-Stage Backdoor Defenses” was accepted by NeurIPS 2023!

Our paper “Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization” was accepted by IEEE Transcation of Information Theory!