Zixin Zhou

 

My name is Zixin Zhou, and I also go by Jack. I am currently in my second year as a Computer Science PhD student at Stanford University, under the esteemed guidance of Aviad Rubinstein and Adam Bouland. Before embarking on this journey, I achieved my Bachelor's degree from Turing Class, Peking University, where I had the privilege of being mentored by Xiaotie Deng. I am also pleased to have worked with Ariel Procaccia and Matt Weinberg during my undergraduate years.

I have a broad interest in theoretical computer science with particular interests in quantum computing and game theory.

Contact: jackzhou [at] stanford [dot] edu

Manuscripts / Submitted

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• Optimal Multi-Dimensional Mechanisms are not Local. (arXiv)

  S. Matthew Weinberg and Zixin Zhou.

Publications

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• Explainable Voting. (pdf)

  Dominik Peters, Ariel D. Procaccia, Alexandros Psomas, and Zixin Zhou.

  In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.

• (Locally) Differentially Private Combinatorial Semi-Bandits. (arXiv)

  Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, and Liwei Wang.

  In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

• An Improved Incentive Ratio of the Resource Sharing on Cycles. (pdf)

  Yukun Cheng and Zixin Zhou.

  In Journal of the Operations Research Society of China 7:409–427, 2019.

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Last update: 2022