房智轩 - 清华大学 - 交叉信息研究院

个人简介

I am now a tenure-track assistant Professor in the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. I received my PhD degree from IIIS, Tsinghua University in 2018 (supervised by Prof. Andrew Chi-Chih Yao and Prof. Longbo Huang). I was then a postdoctoral researcher in the Department of Infomation Engineering, The Chinse University of Hong Kong, advised by Prof. Jianwei Huang. Prior to my Ph.D., I received my B.S. degree in School of Physics, Peking University in 2013. My research focuses on developing methods and solutions to address challenges in multi-agent systems consist of interest-driven individuals. Specifically, my recent studies are mostly on the topics of blockchain systems and network economics. I model and analyze the systems through the lens of mechanism design, mathematics optimization, economics, and algorithms. PROFESSIONAL EXPERIENCE Assistant Professor Sep 2020 - Present Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University Postdoctoral Researcher Aug 2018 - Aug 2020 Department of Information Engineering, The Chinese University of Hong Kong Advisor: Prof. Jianwei Huang (Joint supervision with Prof. Biying Shou at Department of Management, City University of Hong Kong since Feb 2020.) EDUCATION PhD degree in computer science, Tsinghua University Jul 2018 In Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, China. Thesis: Strategies and Optimization in the Sharing Economy Advisors: Prof. Andrew Chi-Chih Yao and Prof. Longbo Huang Visiting PhD student, University of California, Berkeley Aug 2016 - Dec 2016 Hosted by Prof. Jean Walrand at EECS. B.S. degree, Peking University Jul 2013 School of Physics, Peking University, China.

研究领域

My research focuses on developing methods and solutions to address challenges in social/multi-agent systems consist of interest-driven individuals. Typically, I model and analyze the systems through the lens of mechanism design, mathematics optimization, economics, and algorithms. My recent studies are mostly on the design and analysis of blockchain systems and online platforms.

近期论文

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Journal Papers Canhui Chen and Zhixuan Fang, “Gacha Game Analysis and Design,” in Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2023. [Accepted directly through ACM SIGMETRICS 2023 as the full version] Canhui Chen, Xu Chen, and Zhixuan Fang, “TIPS: Transaction Inclusion Protocol with Signaling in DAG-Based Blockchain,” IEEE Journal on Selected Areas in Communications (JSAC), volume 40, 2022. Yunshu Liu, Shulin Ke, Zhixuan Fang, Man Hon Cheung, Wei Cai, and Jianwei Huang, “A Storage Sustainability Mechanism with Heterogeneous Miners in Blockchain,” IEEE Journal on Selected Areas in Communications (JSAC), volume 40, 2022. Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, and Jianwei Huang, “An Incentive Mechanism for Sustainable Blockchain Storage,” IEEE/ACM Transactions on Networking (ToN), 2022. Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang, “Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints,” Elsevier's Performance Evaluation (PEVA), volume 152, 2021. [Accepted directly through IFIP Performance 2021 as the full version] Ningning Ding, Zhixuan Fang, Lingjie Duan, and Jianwei Huang, “Optimal Incentive and Load Design for Distributed Coded Machine Learning,” IEEE Journal on Selected Areas in Communications (JSAC), volume 39, issue 7, 2021. Ningning Ding, Zhixuan Fang, and Jianwei Huang, “Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information,” IEEE Journal on Selected Areas in Communications (JSAC), volume 39, issue 1, 2021. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Loyalty programs in the sharing economy: Optimality and competition,” Elsevier's Performance Evaluation (PEVA), volume 143, 2020. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Prices and Subsidies in the Sharing Economy,” Elsevier's Performance Evaluation (PEVA), volume 136, 2019. Conference Papers Canhui Chen and Zhixuan Fang, “We-TIPS: Weak-Block-Based Transaction Inclusion Protocol with Signaling in DAG-based Blockchain,” Proceedings of the 21th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), August 2023. Rongwu Xu, Sen Yang, Fan Zhang, and Zhixuan Fang, “MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments,” Proceedings of IEEE 8th European Symposium on Security and Privacy (EuroS&P), Delft, Netherlands, July, 2023. Canhui Chen, Zerui Cheng, Shutong Qu, and Zhixuan Fang, “Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm,” Proceedings of 7th Asia-Pacific Workshop on Networking (APNET) (Poster paper), Hong Kong, China, June 2023. Canhui Chen and Zhixuan Fang, “Gacha Game Analysis and Design,” Proceedings of the ACM on Measurement and Analysis of Computing Systems (SIGMETRICS), June 2023. Qingsong Liu and Zhixuan Fang, “Learning to Schedule Tasks with Deadline and Throughput Constraints,” Proceedings of IEEE International Conference on Computer Communications (INFOCOM), May 2023. Qingsong Liu, Weihang Xu, Siwei Wang, and Zhixuan Fang, “Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness,” Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), November 2022. Yirui Zhang, Siwei Wang, and Zhixuan Fang, “Matching in Multi-arm Bandit with Collision,” Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), November 2022. Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, and Longbo Huang, “Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning,” Proceedings of the 23rd ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), October 2022. Jiayuan Liu, Canhui Chen, Lulu Zhou, and Zhixuan Fang, “Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design,” Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), September 2022. Qingsong Liu, Zhuoran Li, and Zhixuan Fang, “Online Convex Optimization with Switching Costs: Algorithms and Performance,” Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), September 2022. Hongbo Zhang, Sizheng Fan, Zhixuan Fang, and Wei Cai, “Economic Analysis of Decentralized Exchange Market with Transaction Fee Mining,” In 2022 ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI), May 2022. (Best paper award) Yihan Du, Siwei Wang, Zhixuan Fang, and Longbo Huang, “Continuous Mean-Covariance Bandits,” Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS), December 2021. Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang, “Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints,” Proceedings of the 39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (Performance), November 2021. Ningning Ding, Zhixuan Fang, Lingjie Duan, and Jianwei Huang, “Incentive Mechanism Design for Distributed Coded Machine Learning,” Proceedings of IEEE International Conference on Computer Communications (INFOCOM), May 2021. Ningning Ding, Zhixuan Fang, and Jianwei Huang, “Information Disclosure Game on Sharing Platforms,” Proceedings of The 2020 IEEE Global Communications Conference (Globecom), December 2020. Zhixuan Fang and Jianwei Huang, “When Reputation Meets Subsidy: How to Build High Quality On Demand Service Platforms,” Proceedings of IEEE International Conference on Computer Communications (INFOCOM), July 2020. Ningning Ding, Zhixuan Fang, and Jianwei Huang, “Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information,” Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), June 2020. Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, and Jianwei Huang, “Economics of Blockchain Storage,” Proceedings of IEEE International Conference on Communications (ICC), June 2020. Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, and Longbo Huang, “A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems,” Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), February 2019. Zhize Li, Le Zhang, Zhixuan Fang, and Jian Li, “A Two-Stage Mechanism for Ordinal Peer Assessment,” Proceedings of the the 11th International Symposium on Algorithmic Game Theory (SAGT), September 2018. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Loyalty Programs in the Sharing Economy: Optimality and Competition,” Proceedings of the 19th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), June 2018. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Prices and Subsidies in the Sharing Economy,” Proceedings of the International Conference on World Wide Web (WWW), April 2017. Zhixuan Fang and Longbo Huang, “Market Share Analysis with Brand Effect,” Proceedings of IEEE Conference on Decision and Control (CDC), December 2016. Zhixuan Fang and Longbo Huang, “Market Share Analysis with Brand Effect,” Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS)(Extended abstract), May 2016. Magazine Papers Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, and Jianwei Huang, “Mechanisms Design for Blockchain Storage Sustainability,” IEEE Communications Magazine, 2023.