Zhenzhe Zheng
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Research

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 computer networking, mobile computing and online markets.

Selected Publications (Complete Publications: Here)

* student mentored by me; # Corresponding Author

  1. Songli Zhang*, Zhenzhe Zheng#, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen, “MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework”, to appear in IEEE Transactions on Mobile Computing (TMC), 2024.

  2. 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 (SIGKDD 2025), Toronto, ON, Canada Aug. 3 - Aug 7, 2025.

  3. Ruitao Zhu*, Wendong Xiao, Yao Yu, Yangsu Liu, Zhenzhe Zheng#, Shuqi Zhang, Dong Li, Fan Wu ’’Prices Do Matter: Modeling Price Competitiveness for Online Hotel Industry’’ in Proceedings of the 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025), Toronto, ON, Canada Aug. 3 - Aug 7, 2025.

  4. 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 (SenSys 2024), Hangzhou, China, Nov. 4 - 7, 2024.

  5. 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 (MobiHoc 2024), Athens, Greece, Oct. 14 - 17, 2024.

  6. Chen Gong*, Zhenzhe Zheng#, Fan Wu, Xiaofeng Jia, Guihai Chen, ’’Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning’’ in Proceedings of the The 30th Annual International Conference On Mobile Computing And Networking (MobiCom 2024), Washington, D.C., USA, Nov. 18 - 22, 2024.

  7. Yan Zhuang*, Zhenzhe Zheng#, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen, “Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments” in Proceedings of the 52nd International Conference on Parallel Processing (ICPP 2024), Gotland, Sweden Aug. 12 - Aug 15, 2024.

  8. Yidan Xing*, Zhenzhe Zheng#, Fan Wu, “Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning”, in Proceedings of the 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024), Barcelona, Spain Aug. 25 - Aug 29, 2024.

  9. Qilong Lin*, Zhenzhe Zheng#, Fan Wu, “Robust Auto-Bidding Strategies for Online Advertising”, in Proceedings of the 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024), Barcelona, Spain Aug. 25 - Aug 29, 2024.

  10. Haoming Li*, Yumou Liu, Zhenzhe Zheng#, Zhilin Zhang, Jian Xu, Fan Wu, “Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions”, in Proceedings of the 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024), Barcelona, Spain Aug. 25 - Aug 29, 2024.

  11. Songli Zhang*, Zhenzhe Zheng#, Qinya Li, Fan Wu, Guihai Chen “Mobility-Aware Device Sampling for Statistical Heterogeneity in Hierarchical Federated Learning”, in Proceedings of the 44th IEEE International Conference on Distributed Computing (IEEE ICDCS 2024), Jersey City, New Jersey, USA, July 23-26, 2014.

  12. Zhenzhe Zheng, Weichao Mao, Yidan Xing, Fan Wu, “On Designing Market Model and Pricing Mechanisms for IoT Data Exchange”, to appear in IEEE Transactions on Mobile Computing (TMC), 2024.

  13. Chen Gong*, Zhenzhe Zheng#, Fan Wu, Yunfeng Shao, Bingshuai Li and Guihai Chen, “ODE: An Online Data Selection Framework for Federated Learning in Mobile Networks”, to appear in IEEE/ACM Transactions on Networking (TON), 2024.

  14. 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 (WWW 2024), Singapore, May 13 - 17, 2024.

  15. 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 (WINE 2023), Shanghai, China, Dec. 04-08, 2023.

  16. Anran Xu*, Zhenzhe Zheng#, Qinya Li, Fan Wu, and Guihai Chen, “VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health”, to appear in IEEE Transactions on Mobile Computing (TMC), 2023.

  17. Songli Zhang*, Zhenzhe Zheng#, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen, “Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning” in Proceedings of the 51st International Conference on Parallel Processing (ICPP 2023), Salt Lake City, Utah, USA, Aug. 7 - Aug 10, 2023.

  18. Haoqi Zhang*, Lvyin Niu, Zhenzhe Zheng#, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen and Bo Zheng, “A Personalized Automated Bidding Framework for Fairness-aware Online Advertising”, in Proceedings of the 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), Long Beach, CA, USA Aug. 8 - Aug 10, 2023.

  19. Yidan Xing*, Zhilin Zhang, Zhenzhe Zheng#, Chuan Yu, Jian Xu, Fan Wu, and Guihai Chen, “Truthful Auctions for Automated Bidding in Online Advertising”, in Proceedings of 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, Aug. 19 - Aug 25, 2023.

  20. Rui Xing*, Zhenzhe Zheng#, Qianya Li, Fan Wu, and Guihai Chen, “Distributed Model Interpretation for Vertical Federated Learning with Feature Discrepancy”, in Proceedings of 31th IEEE/ACM International Symposium on Quality of Service Orlando, FL, USA, 19–21 June 2023.

  21. Chen Gong*, Zhenzhe Zheng#, Fan Wu, Yunfeng Shao, Bingshuai Li and Guihai Chen, “To Store or Not? Online Data Selection for Federated Learning with Limited Storage”, in Proceedings of The ACM Web Conference (WWW 2023), Austin, Texas, USA, April 30 - May 4, 2023.

  22. Ruitao Zhu*, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng#, Ke Bu, Quan Lu and Fan Wu, “LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation”, in Proceedings of The ACM Web Conference (WWW 2023), Austin, Texas, USA, April 30 - May 4, 2023.

  23. Yangsu Liu*, Dagui Chen, Zhenzhe Zheng#, Zhilin Zhang, Chuan Yu, Fan Wu, and Guihai Chen, “Boosting Advertising Space: Designing Ad Auctions for Augment Advertising”, in Proceedings of the 16th ACM International WSDM Conference (WSDM), Singapore, Feb. 27 to March 3, 2023.

  24. Hongtao Lv*, Zhilin Zhang, Zhenzhe Zheng#, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, and Fan Wu, “Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, Feb. 7-14, 2023.

  25. Haoqi Zhang*, Junqi Jin, Zhenzhe Zheng#, Fan Wu, Haiyang Xu and Jian Xu: “Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee”, in Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, Oct. 17-21, 2022.

  26. Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng# Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu and Bo Zheng: “Hierarchically Constrained Adaptive Ad Exposure in Feeds”, in Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, Oct. 17-21, 2022.

  27. 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.

  28. Anran Xu*, Zhenzhe Zheng#, Fan Wu and Guihai Chen: “Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health”, in Proceedings of the 41st IEEE International Conference on Computer Communications (INFOCOM 2022), Online, May 2-5, 2022.

  29. Qinya Li*, Zun Li, Zhenzhe Zheng#, Fan Wu, Shaojie Tang, Zhao Zhang and Guihai Chen, “Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange”, to appear in IEEE Transactions on Mobile Computing (TMC). DOI: 10.1109/TMC.2021.3113387, 2021.

  30. Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng#, and etc. : “A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising”, in Proceedings of the 15th ACM International Web Search and Data Mining conference (WSDM 2022), Phoenix, Arizona, Feb., 2022.

  31. Hongtao Lv*, Zhenzhe Zheng#, Tie Luo, Fan Wu Shaojie Tang, Lifeng Hua, Rongfei Jia, and Chengfei Lv: “Data-Free Evaluation of User Contributions in Federated Learning”, in Proceedings of the 19th IEEE International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt 2021), Online, Oct. 18-21, 2021.

  32. Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng#, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen and Xiaoqiang Zhu, “Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising”, in Proceedings of the 2021 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2021), Online, Aug. 14-18, 2021.

  33. Liyi Guo*, Junqi Jin, Haoqi Zhang*, Zhenzhe Zheng#, Zhiye Yang, Zhizhuang Xing, Fei Pan, Fan Wu, Lvyin Niu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu, “We Know What You Want: An Advertising Strategy Recommender System for Online Advertising”, in Proceedings of the 2021 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2021), Online, Aug. 14-18, 2021.

  34. Hongtao Lv*, Zhenzhe Zheng#, Fan Wu, and Guihai Chen, “Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing”, to appear in IEEE Journal on Selected Areas in Communications (JSAC), 2021.

  35. Yihao Xue*, Chaoyue Niu, Zhenzhe Zheng#, Shaojie Tang, Chengfei Lv, Fan Wu and Guihai Chen: “Toward Understanding the Influence of Individual Clients in Federated Learning", in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2-9, 2021.

  36. Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng#, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu and Kun Gai: “Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising”, in Proceedings of the 14th ACM International Web Search and Data Mining conference (WSDM 2021), March, Jerusalem, Israel 2021.

  37. Zhenzhe Zheng and R. Srikant: “Optimal Search Segmentation Mechanisms for Online Platform Markets”, in Proceedings of the 15th Conference on Web and Internet Economics (WINE 2019), Columbia University, New York NY, Dec. 10-12, 2019.

  38. Zhenzhe Zheng and R. Srikant: “A Game-Theoretic Model for Product Placement in Online Platform Markets”, in 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys 2019), Chicago, IL, USA, Sep. 16-17, 2019. Invited Paper

  39. Weichao Mao*, Zhenzhe Zheng, and Fan Wu, “Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective”, in Proceedings of the 38th IEEE International Conference on Computer Communications (IEEE INFOCOM 2019), Paris, France, Apr. 29-May 2, 2019.

  40. Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Xiaofeng, Gao, and Fan Wu, “Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy”, in Proceedings of the 38th IEEE International Conference on Computer Communications (IEEE INFOCOM 2019), Paris, France, Apr. 29-May 2, 2019.

  41. Zhenzhe Zheng, R. Srikant, and Guihai Chen, “Pricing for Revenue Maximization in Inter-DataCenter Networks”, in Proceedings of the 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, HI, USA, Apr 16-19, 2018.

  42. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, and Guihai Chen, “Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data”, in Proceedings of the 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2018), London, UK, Aug. 19-23, 2018.

  43. Weichao Mao*, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations", in Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, July 13-19, 2018.

  44. Shuo Yang, Kunyang Han, Zhenzhe Zheng, Shaojie Tang, and Fan Wu, “Towards Personalized Task Matching in Mobile Crowdsensing via Fine-Grained User Profiling”, in Proceedings of the 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, HI, USA, Apr 16-19, 2018.

  45. Zhenzhe Zheng, Yanqing Peng*, Fan Wu, Shaojie Tang, and Guihai Chen, “Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing”, IEEE Journal on Selected Areas in Communications (JSAC). Volume 35, Issue 2, Pages 486 - 501, Feb. 2017.

  46. Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Hongzi Zhu, Shaojie Tang, and Guihai Chen, “A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing”, to appear in IEEE Transactions on Mobile Computing (TMC). Volume: 16, Issue: 9, Sep. 2017.

  47. Zhenzhe Zheng, Yanqing Peng*, Fan Wu, Shaojie Tang, and Guihai Chen, “An Online Pricing Mechanism for Mobile Crowdsensing Data Markets”, in Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2017), Madras, Chennai, India, Jul. 10-13, 2017. (Full Version: IEEE TMC Journal)

  48. Shengzhong Liu+, Zhenzhe Zheng+, Fan Wu, Shaojie Tang and Guihai Chen, “Context-Aware Data Quality Estimation in Mobile Crowdsensing”, in Proceedings of the 36th IEEE International Conference on Computer Communications (IEEE INFOCOM 2017), Atlanta, GA, USA, May 1-4, 2017. (+:Co-Primary Authors)

  49. Zhenzhe Zheng, Zhaoxiong Yang*, Fan Wu, and Guihai Chen, “Mechanism Design for Mobile Crowdsensing with Execution Uncertainty”, in Proceedings of the 37th IEEE International Conference on Distributed Computing (IEEE ICDCS 2017), Atlanta, GA, USA, June 5-8, 2017.

  50. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, and Guihai Chen, “Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets”, in Proceedings of the 33rd IEEE International Conference on Data Engineering, (IEEE ICDE 2017), short paper, San Diego, CA, USA, April 19-22, 2017. (Full Version: IEEE TKDE Journal)

  51. Zhenzhe Zheng, Yang Gui, Fan Wu, and Guihai Chen, “STAR: Strategy-Proof Double Auctions for Multi-Cloud, Multi-Tenant Bandwidth Reservation”, IEEE Transactions on Computers (TC), Volume 64, Number 7, Pages 2071 - 2083, July 2015.

  52. Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen, “Unknown Combinatorial Auction Mechanisms for Heterogeneous Spectrum Redistribution”, in Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2014), Pages 3-12, Philadelphia, PA, Aug. 11-14, 2014. (Full Version: IEEE ToN Journal)

  53. Zhenzhe Zheng, Fan Wu, and Guihai Chen, “SMASHER: Strategy-Proof Combinatorial Auction Mechanisms for Heterogeneous Channel Redistribution”, in Proceedings of the 14th ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2013) short paper, Pages 305-308, Bangalore, Indian, Jul. 29 - Aug. 1, 2013. (Full Version: IEEE TMC Journal)

  54. Fan Wu, Junming Liu*, Zhenzhe Zheng, and Guihai Chen, “A Strategy-Proof Online Auction with Time Discounting Values”. in Proceedings of the 28th AAAI Conference on Arti.cial Intelligence (AAAI 2014), Pages 812-818, Quebec City, Canada, July 27-31, 2014.