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教师名录

郑臻哲
教授

电话:13166358184

邮箱:zhengzhenzhe@sjtu.edu.cn

地址:3-509 SEIEE Building 800 Dongchuan Road

所在研究所:先进网络研究所

个人主页:https://zhengzhenzhe220.github.io/

个人简介

I am currently a professor in the School of Computer Science @ Shanghai Jiao Tong University. I was supported by NSFC Excellent Young Scholars Program.  I received my Ph.D. from the CS department @ Shanghai Jiao Tong University in March 2018. My advisors were Prof. Prof. Fan Wu and Prof. Guihai Chen. I was a visiting research scholar and then a postdoctoral researcher in the Coordinated Science Laboratory (CSL) @ UIUC from September 2016 to October 2019, advised by Prof. R. Srikant. I am the recipient of the China Computer Federation (CCF) Excellent Doctoral Dissertation Award in 2018. During my Ph.D. program, I was supported by Google Ph.D. Fellowship and Microsoft Research Asia Ph.D. Fellowship.

My research interests are in the intersection of economics, learning and system. In particular, I have focused on game theory, machine learning, mobile computing and their applications for Agentic AI system, such as On-device AI Agent and Multi-agents online platform markets.



教育背景

- Shanghai Jiao Tong University, Mar. 2015 - Mar. 2018, Ph.D. in Computer Science

Co-Advisors: Prof. Guihai Chen and Prof. Fan Wu

Thesis: Game Models and Mechanism Design for Mobile Internet

- University of Illinois at Urbana-Champaign, Sep. 2016 - Mar. 2018, Visiting Scholar in Electrical and Computer Engineering

Advisor: Prof. R. Srikant

Research Topic: Dynamic Pricing for Cloud Bandwidth Markets

- Shanghai Jiao Tong University, Sep. 2012 - Mar. 2015, M.S. in Computer Science

Advisor: Prof. Fan Wu

Thesis: Game Theory based Resource Management in Non-Cooperative Wireless Networks

- Xidian University, Sep. 2008 - June 2012, B.E. in Software Engineering


工作履历

- Shanghai Jiao Tong University,  Aug. 2024 - Now, Professor in School of Computer Science

- Shanghai Jiao Tong University,  Jan. 2023 - Aug. 2024,  Associate Professor in School of Computer Science

- Shanghai Jiao Tong University, Jan. 2020 - Jan. 2023, Assistant Professor in School of Computer Science

- University of Illinois at Urbana-Champaign, Mar. 2018 - Dec. 2019, Post Doctoral in Coordinated Science Laboratory (CSL) & Electrical and Computer Engineering (ECE)

Advisor: Prof. R. Srikant



教授课程

- CS3333-01-博弈论

- CS7333-033-M01-计算机网络



论文发表

C1. Chen Gong , Rui Xing, Zhenzhe Zheng#, Fan Wu “A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices” in Proceedings of the 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025), Toronto, ON, Canada Aug. 3 - Aug 7, 2025.
C2. Qilong Lin , Yangsu Liu, Dagui Chen, Zhenzhe Zheng#, Jian Xu, Bo Zheng, Fan Wu, Guihai Chen “Robust Data-Driven Auction Design” in Proceedings of the 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025), Toronto, ON, Canada Aug. 3 - Aug 7, 2025.

C3. Haibo Liu , Da Huo , Zhenzhe Zheng#, Fan Wu “Latency-aware Online Continual Learning for Non-Stationary Data Streams” in Proceedings of the 44th IEEE International Conference on Computer Communications (IEEE INFOCOM 2025), London, United Kingdom, May 19-22, 2025.

C4. Ruitao Zhu , Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng#, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu “Contextual Generative Auction with Permutation-level Externalities for Online Advertising” in Proceedings of the 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2025), Toronto, ON, Canada Aug. 3 - Aug 7, 2025.

C5. Yan Zhuang , Zhenzhe Zheng#, Fan Wu, Guihai Chen, “LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning” in Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2024), Hangzhou, China, Nov. 4 - 7, 2024.

C6. Yumou Liu , Haoming Li , Zhenzhe Zheng#, Fan Wu, Guihai Chen, “On the Analysis of Two-Stage Stochastic Bandit” in Proceedings of the 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc 2024), Athens, Greece, Oct. 14 - 27, 2024.

C7. Chen Gong , Zhenzhe Zheng#, Fan Wu, Xiaofeng Jia, Guihai Chen, “ A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning” in Proceedings of the 30th Annual International Conference On Mobile Computing and Networking (ACM MobiCom 2024), Washington, D.C., USA, Nov. 18 - 22, 2024. 

C8. Haoming Li , Yusen Huo, Shuai Dou, Zhenzhe Zheng#, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu, “Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding”, in Proceedings of the ACM Web Conference (ACM WWW 2024), Singapore, May 13 - 17, 2024.

C9. Hongtao Lv , Xiaohui Bei, Zhenzhe Zheng#, and Fan Wu, “Auction Design for Bidders with Ex Post ROI Constraints” in Proceedings of the 19th Conference on Web and Internet Economics (Springer WINE 2023), Shanghai, China, Dec. 04-08, 2023.

C10. Yiqing Wang , Xiangyu Liu, Zhenzhe Zheng#, Zhilin Zhang, Miao Xu, Chuan Yu, and Fan Wu: “On Designing a Two-stage Auction for Online Advertising”, in Proceedings of The ACM Web Conference (WWW 2022), in Economics, Monetization, and Online Markets track, Lyon, France, April 25-29, 2022.


资助项目

主持国家自然科学基金青年/面上/优青项目

科技部重点研发课题

上海市浦江人才

中国博士后创新人才计划项目

获奖信息

中国计算机学会(CCF)优秀博士论文奖;

英特尔中国学术英才计划;

上海市计算机学会自然科学奖一等奖(排二);

上海市科技进步一等奖(排五)

学术服务

上海市计算机学会普适计算与嵌入式专委会秘书长

中国电子学会-物联网专委会

中国自动化学会-联邦数据与联邦智能专业委员会委员,