Xuezhou Zhang
Assistant Professor at Boston University
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolXuezhou Zhang is an assistant professor at Boston University's Faculty of Computing and Data Sciences with a decade of experience bridging reinforcement learning research and real-world applications. After a PhD at University of Wisconsin–Madison and a postdoc at Princeton, he has worked on problems ranging from hierarchical RL for personalized recommendations at Alibaba to interpretable multiclass models at Microsoft Research. His research focuses on reinforcement learning with practical concerns like user retention, adversarial attacks on recommendation systems, and game-theoretic defenses—demonstrating a blend of theoretical rigor and applied impact. Based in Boston, he combines strong mathematical training (UCLA summa cum laude in Applied Mathematics) with hands-on industry collaborations, often turning research insights into deployable solutions. A less obvious strength is his consistent work at the intersection of interpretability, robustness, and sequential decision-making, positioning him to translate RL advances into trustworthy systems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-MadisonHigh School Diploma, High School Diploma at The High School Affiliated to Renmin University of ChinaBachelor of Science (BS), Applied Mathematics, Summa Cum Laude, Bachelor of Science (BS), Applied Mathematics, Summa Cum Laude at University of California, Los Angeles
English, Chinese
Github Skills (38)
xai10
interpretable-machine-learning10
transparency10
iml10
blackbox10
mixed-integer-programming9
lime9
naive-bayes9
integer9
differential-privacy9
julia8
optimization8
scikit-learn8
ai8
mathematical8
Programming languages (4)
Github contributions (5)
zhangxz1123/zhangxz1123.github.io
Dec 2016 - Feb 2025
Contributions:81 pushes, 1 branch in 8 years 2 months
zhangxz1123/NN_convergence
Dec 2018 - Apr 2019
Investigating the convergence of neural networks
Contributions:1 PR, 12 pushes, 1 branch in 4 months
deep-learningneural-networksmachine-learningneural-networkconvergence
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