Zhenzhe Zheng (郑臻哲）
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Associate Professor, |
About me
Welcome to my homepage! I am currently a tenure-track associate professor in the Department of Computer Science and Engineering @ Shanghai Jiao Tong University.
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. Prior to my Ph.D., I received my B.E. in Software Engineering from Xidian University in June 2012, and M.S. in Computer Science from Shanghai Jiao Tong University in March 2015.
My research interests are in the intersection of economics, learning and networking. In particular, I have focused on game theory, machine learning and their applications for intelligent mobile computing and online platform markets.
Students: I am constantly looking for well motivated students (both undergrad and graduate) who are interested in game theory, machine learning and reinforcement learning, networking and mobile computing, performance analysis and algorithm design, and system implementations. Please email me if you are interested.
Recent News
[2024.11] We have two papers ’’Contextual Generative Auction with Permutation-level Externalities for Online Advertising’’ and ’’Prices Do Matter: Modeling Price Competitiveness for Online Hotel Industry’’ accepted to ACM SIGKDD, 2025. Congratulations to Ruitao!
[2024.11] Our Paper ’’MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework’’ has been accepted to IEEE Transactions on Mobile Computing (TMC). Congratulations to Songli!
[2024.09] Our Paper ’’LiteMoE: Customizing On-device LLM Serving via Proxy Submodel Tuning’’ has been accepted to ACM SenSys 2024. Congratulations to Yan!
[2024.07] Our Paper ’’On the Analysis of Two-Stage Stochastic Bandit’’ has been accepted to ACM MobiHoc 2024. Congratulations to Yumou!
[2024.06] Our Paper ’’Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning’’ has been accepted to ACM MobiCom 2024. Congratulations to Chen!
[2024.06] Our Paper ’’Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments’’ has been accepted to ACM ICPP 2024. Congratulations to Yan!
[2024.05] We have three papers ’’Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning’’, ’’Robust Auto-Bidding Strategies for Online Advertising’’ and ’’Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions’’ been accepted to ACM SIGKDD, 2024. Congratulations to Yidan, Qilong and Haoming!
[2024.04] Paper ’’Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning’’ has been accepted to IEEE ICDCS, 2024. Congratulations to Songli!
[2024.04] Paper ’’On Designing Market Model and Pricing Mechanisms for IoT Data Exchange’’ has been accepted to IEEE TMC, 2024.
[2024.01] Paper ’’Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding’’ has been accepted to ACM WWW, 2024. Congratulations to Haoming!
[2024.01] Paper ’’ODE: An Online Data Selection Framework for Federated Learning in Mobile Networks’’ has been accepted to IEEE/ACM Transactions on Networking (TON), 2024. Congratulations to Chen!
[2023.11] Paper ’’Cost-Effective Active Learning for Bid Exploration in Online Advertising’’ and ’’From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction’’ have been accepted to ACM WSDM, 2024. Congratulations to Zixiao and Jiani!
[2023.09] Paper ’’Auction Design for Bidders with Ex Post ROI Constraints’’ accepted to Springer WINE. Congratulations to Hongtao!
[2023.09] Paper ’’VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health’’ accepted to IEEE TMC. Congratulations to Anran!
[2023.08] We have five papers accepted to ACM CIKM 2023. Congratulations to the group.
[2023.06] One Paper “Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning” has been accepted to ACM ICPP 2023. Congratulations to Songli.
[2023.05] One Paper “A Personalized Automated Bidding Framework for Fairness-aware Online Advertising” has been accepted to ACM SIGKDD 2023. Congratulations to Haoqi.
[2023.04] One Paper “Truthful Auctions for Automated Bidding in Online Advertising” has been accepted to IJCAI 2023. Congratulations to Yidan.
[2023.04] One Paper “Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy” has been accepted to IEEE/ACM IWQoS 2023. Congratulations to Rui.
[2023.01] Two Papers “To Store or Not? Online Data Selection for Federated Learning with Limited Storage” and “LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation” have been accepted to ACM WWW, 2023. Congratulations to Chen and Ruitao!
Research Interests
Intelligent Mobile Computing and On-device Machine Learning
Network Economics and Large-scale Decision Making