Zhenzhe Zheng
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Full Publications

Here is a full list of my publications.
My Google Scholar.
* student mentored by me; # Corresponding Author

Journal Papers

  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. 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.

  3. 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”, IEEE/ACM Transactions on Networking (TON), Volume 32, Issue 4, Pages 2794 - 2809, 2024.

  4. Anran Xu*, Zhenzhe Zheng#, Qinya Li, Fan Wu, and Guihai Chen, “VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health”, IEEE Transactions on Mobile Computing (TMC), Volume 23, Issue 5, Pages 5966-5983, 2024.

  5. 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”, IEEE Transactions on Mobile Computing (TMC). Volume 22, Issue 4, Pages 1988-2000, 2023.

  6. Zhenzhe Zheng, Shuo Yang, Jiapeng Xie, Fan Wu, Xiaofeng Gao, and Guihai Chen, “On Designing Strategy-Proof Budget Feasible Online Mechanism for Mobile Crowdsensing with Time-Discounting Value”, IEEE Transactions on Mobile Computing (TMC), Volume 21, Issue 6, Pages 2088-2102, 2022.

  7. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, and Guihai Chen, “Online Pricing with Reserve Price Constraint for Personal Data Markets", IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 34, Number 4, Pages 1928-1943, 2022.

  8. Hongtao Lv*, Zhenzhe Zheng#, Fan Wu, and Guihai Chen, “Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing”, in IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Age of Information in Real-time Systems and Networks, Volume 39, Issue 5, May 2021.

  9. Fan Wu, Shuo Yang, Zhenzhe Zheng, Shaojie Tang, and Guihai Chen, “Fine Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing”, IEEE Transactions on Mobile Computing (TMC), Volume 20, Number 10, Pages 2961-2976, 2021.

  10. Zhenzhe Zheng, Yanqing Peng*, Fan Wu, Shaojie Tang, and Guihai Chen, “ARETE: On Designing Joint Online Pricing and Reward Sharing Mechanisms for Mobile Data Markets”, IEEE Transactions on Mobile Computing (TMC), Volume 19, Issue 4, Pages 769-787, 2020.

  11. 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.

  12. 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”, IEEE Transactions on Mobile Computing (TMC). Volume: 16, Issue: 9, Sep. 2017.

  13. Zhenzhe Zheng, Fan Wu, Shaojie Tang, and Guihai Chen, “AEGIS: An Unknown Combinatorial Auction Mechanism Framework for Heterogeneous Spectrum Redistribution in Non-Cooperative Wireless Networks", IEEE/ACM Transactions on Networking (TON), Volume 24, Number 3, Pages 1919-1932, June 2016.

  14. 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.

  15. Zhenzhe Zheng, Fan Wu, and Guihai Chen, “A Strategy-Proof Combinatorial Heterogeneous Channel Auction Framework in Noncooperative Wireless Networks", IEEE Transactions on Mobile Computing (TMC), Volume 14, Number 6, Pages 1123-1137, June 2015.

  16. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, and Guihai Chen, “Achieving Data Truthfulness and Privacy Preservation in Data Markets", Transactions on Knowledge and Data Engineering (TKDE), Volume 31, Number 1, Pages 105 - 119, Jan. 2019.

  17. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, and Guihai Chen, “ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data", Transactions on Knowledge and Data Engineering (TKDE), Volume 33, Number 3, Pages 975 - 990, 2021.

Conference Papers

  1. Da Huo*, Zhenzhe Zheng#, Fan Wu ’’Learning Optimal Auctions with Correlated Value Distributions’’ in Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, Pennsylvania, USA, Feb. 25 – March 4, 2025.

  2. 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 (INFOCOM 2025), London, United Kingdom, May 19-22, 2025.

  3. 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.

  4. 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.

  5. 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.

  6. 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 - 27, 2024.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Jiani Huang*, Zhenzhe Zheng#, Yanrong Kang, and Zixiao Wang, “From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction”, in Proceedings of the 16th ACM International WSDM Conference (WSDM), Mérida, México, March 4 - 8, 2024.

  15. Zixiao Wang*, Zhenzhe Zheng#, Yanrong Kang, and Jiani Huang, “Cost-Effective Active Learning for Bid Exploration in Online Advertising”, in Proceedings of the 16th ACM International WSDM Conference (WSDM), Mérida, México, March 4 - 8, 2024.

  16. 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.

  17. Ruitao Zhu*, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng#, Ke Bu, Dong Li and Fan Wu, “CANDY: A Causality-Driven Model for Hotel Dynamic Pricing” in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 21-25, 2023.

  18. Shigang Quan*, Hailong Tan, Shui Liu, Zhenzhe Zheng#, Ruihao Zhu, Liangyue Li, Quan Lu and Fan Wu, “MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking” in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 21-25, 2023.

  19. Shigang Quan*, Shui Liu, Zhenzhe Zheng# and Fan Wu, “Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective” in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 21-25, 2023.

  20. Xinwei Wan*, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng#, Fan Wu and Guihai Chen, “PSLF: Defending Against Label Leakage in Split Learning” in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 21-25, 2023.

  21. Zhen Gong*, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng#, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu and Bo Zheng, “MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising” in Proceedings of 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, UK, Oct. 21-25, 2023.

  22. Zhen Gong*, Xin Wu, Lei Chen, Zhenzhe Zheng#, Shengjie Wang, Anran Xu, Chong Wang and Fan Wu, “Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation” in Proceedings of the 17th ACM Recommender Systems Conference (RecSys 23), Singapore, Sept. 18 - Sept 22, 2023.

  23. 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 2022), Salt Lake City, Utah, USA, Aug. 7 - Aug 10, 2023.

  24. 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 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.

  25. 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.

  26. 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 (IWQoS 2023), Orlando, FL, USA, 19–21 June 2023.

  27. Anran Xu*, Shuo Yang, Shuai Li, Zhenzhe Zheng#, LingLing Yao, Fan Wu, Guihai Chen and Jie Jiang “HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems”, in Proceedings of 28th International Conference Database Systems for Advanced Applications (DASFAA), Tianjin, China, April 17–20, 2023.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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. 21-25, 2022.

  37. 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.

  38. 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, “NeuralAuction: 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.

  39. 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.

  40. 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.

  41. 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.

  42. Liyi Guo*, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng#, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, and Kun Gai, “A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction”, in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 19-23 October 2020.

  43. Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li , Jian Xu , Kun Gai, “Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising”, in Proceedings of the Thirty-seventh International Conference on Machine Learning, (ICML 2020), Vienna, Austria, July 13-18, 2020.

  44. Xiaotian Hao, Junqi Jin, Jin Li , Weixun Wang, Yi Ma, Jianye Hao, Zhenzhe Zheng, Han Li, Jian Xu, and Kun Gai, “Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising”, in Proceedings of the 2020 International Joint Conference on Artificial Intelligence, (IJCAI 2020), Yokohama, Japan, July 11-17, 2020.

  45. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, and Guihai Chen: “Online Pricing with Reserve Price Constraint for Personal Data Markets”, in Proceedings of the 36th IEEE International Conference on Data Engineering, (IEEE ICDE 2020), short paper, Dallas, Texas, USA, April 20-24, 2020.

  46. Hongtao Lv*, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu and Guihai Chen: “Mechanism Design with Predicted Task Revenue for Bike Sharing Systems”, in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), New York NY, Feb. 7-12, 2020.

  47. Qinya Li*, Zhenzhe Zheng, Fan Wu and Guihai Chen: “Generative Adversarial Networks-based Privacy-Preserving for 3D Reconstruction”, in Proceedings of IEEE/ACM International Symposium on Quality of Service (IWQoS), 15-17 June 2020.

  48. 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.

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

  50. 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.

  51. 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.

  52. Zhenzhe Zheng, Weichao Mao*, Fan Wu, and Guihai Chen “Challenges and Opportunities in IoT Data Markets”, in the 4th International Workshop on Social Sensing (IEEE SocialSense 2019), Montreal, Canada, Apr. 15, 2019. (Invited Paper).

  53. 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.

  54. 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.

  55. 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.

  56. Zun Li*, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “On Designing Optimal Data Purchasing Strategies for Online Ad Auctions", in Proceedings of the 2018 International Conference on Autonomous Agents & Multiagent Systems (AAMAS 2018), Stockholm, July 11-13, 2018.

  57. 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.

  58. 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.

  59. 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)

  60. 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.

  61. 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.

  62. 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.

  63. 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.

  64. 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.

  65. Xiang Wang*, Zhenzhe Zheng, Fan Wu, Xiaoju Dong, Shaojie Tang, and Guihai Chen, “Strategy-Proof Data Auctions with Negative Externalities (Extended Abstract)", in Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems (AAMAS 2016), Pages 1269-1270, Singapore, May 9-13, 2016.

  66. Yangsu Liu, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “Fault Tolerant Mechanism Design for Time Coverage in Crowdsensing System”, in Proceedings of the 36th IEEE International Performance Computing and Communications Conference (IEEE IPCCC 2017), San Diego, California, USA, Dec. 10- 12, 2017.

  67. Xiao Ma*, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “Trust-Based Time Series Data Model for Mobile Crowdsensing”, in Proceedings of the 2017 IEEE International Conference on Communications (IEEE ICC, 2017), Paris, France, May 21-25, 2017.

  68. Yuanyuan Li, Linghe Kong, Fan Wu, Zhenzhe Zheng, and Guihai Chen, “MAPM: Movement-based Adaptive Prediction Mechanism for Energy Conservation in Body Sensor Networks”, in Proceeding of the 2016 IEEE Global Communications Conference (IEEE GLOBECOM, 2016), Washington, DC USA, Dec. 4-8, 2016.

  69. Minping Zhou*, Chaoyue Niu*, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “An Efficient, Privacy-Preserving, and Veri.able Online Auction Mechanism for Ad Exchanges”, in Proceedings of the 2015 IEEE Global Communications Conference (IEEE GLOBECOM, 2015), San Diego, CA, USA, Dec. 6-10, 2015.

  70. Yang Gui, Zhenzhe Zheng, Fan Wu, and Guihai Chen, “SOAR: Strategy-Proof Auction Mechanisms for Distributed Cloud Bandwidth Reservation”, in Proceedings of the 14th IEEE International Conference on Communication Systems (IEEE ICCS, 2014), Pages 162-166, Macau, Nov. 19 - 21, 2014. Best Student Paper Award.

  71. Zhenzhe Zheng, JuntaoWang*, Fan Wu, and Guihai Chen, “SAIL: A Strategy-Proof Combinatorial Auction Mechanism for Cooperative Communication”, in Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS 2013), Pages 380-387, Seoul, Korea, Dec. 15-18, 2013.