Hi, I'm a PhD student in the Computer Science Department at Carnegie Mellon University. I'm being advised by Giulia Fanti and Elaine Shi.

Plan to graduate in 2025 and looking for a job :)

Research Interests


I am interested in {efficiency, safety, privacy} x {information retrieval, data aggregation, AI/ML, etc}.

I design algorithms and do implementations.

Education

I received my B.S. in Computer Science from Peking University.

Research Papers

  1. Mingxun Zhou, Elaine Shi, and Giulia Fanti. Pacmann: Efficient Private Approximate Nearest Neighbor Search , in submission, 2024.

  2. Mingxun Zhou, Elaine Shi, and Giulia Fanti. Conan: Distributed Proofs of Compliance for Anonymous Data Collection , To appear at CCS 2024

  3. Ashrujit Ghoshal, Mingxun Zhou, and Elaine Shi.(Randomized Author Order) Efficient Pre-processing PIR Without Public-Key Cryptography, Eurocrypt 2024.

  4. Mingxun Zhou, Mengshi Zhao, T-H. Hubert Chan, and Elaine Shi.(Randomized Author Order) Advanced Composition Theorems for Differential Obliviousness, ITCS 2024.

  5. Mingxun Zhou, Andrew Park, Elaine Shi and Wenting Zheng. Piano: Extremely Simple, Single-Server PIR with Sublinear Server Computation, to appear at S&P 2024.

  6. Mingxun Zhou, Elaine Shi, T-H. Hubert Chan, and Shir Maimon.(Randomized Author Order) A Theory of Composition for Differential Obliviousness, Eurocrypt 2023

  7. Mingxun Zhou, W. Lin, Yiannis Tselekounis, and Elaine Shi.(Randomized Author Order) Optimal Single-Server Private Information Retrieval, Eurocrypt 2023

  8. Mingxun Zhou*, Liyi Zeng*, Yilin Han, Peilun Li, Fan Long, Dong Zhou, Ivan Beschastnikh, and Ming Wu (*Equal Contribution). Mercury: Fast Transaction Broadcast in High Performance Blockchain System, INFOCOM 2023

  9. Mingxun Zhou, Tianhao Wang, T-H. Hubert Chan, Giulia Fanti, and Elaine Shi. Locally Differentially Private Sparse Vector Aggregation, S&P 2022.

  10. Charlie Hou*, Mingxun Zhou*, Yan Ji, Phil Daian, Florian Tramer, Giulia Fanti, and Ari Juels. (*Equal Contribution)SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning, NDSS 2021.[code]

  11. Minmei Wang*, Mingxun Zhou*, Shouqian Shi, and Chen Qian. (*Euqal Contribution) Vacuum Filters: More Space-Efficient and Faster Replacement for Bloom and Cuckoo Filters, VLDB 2020. [code]

Preprints/Other Projects

Presentations/Talks

Others