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房智轩

上海期智研究院PI(2020年7月-至今)
清华大学特别研究员、助理教授

个人简介

房智轩博士毕业于清华大学交叉信息研究院,本科毕业于北京大学物理学院,在加入清华大学之前,曾在香港中文大学任博士后研究员。目前研究兴趣专注于互联网共享与交易平台的分析与优化、区块链系统的机制设计、网络经济学、群体智能等。

研究方向

机制设计

区块链系统

平台设计

网络经济学

群体智能

研究课题

现代密码学-区块链系统的机制设计与优化

团队成员

招聘信息

新闻动态

科研成果

1. Canhui Chen and Zhixuan Fang,Gacha Game Analysis and Design,Proceedings of ACM SIGMETRICS(SIGMETRICS),2023-投稿中


2. Qingsong Liu and Zhixuan Fang,Learning to Schedule Tasks with Deadline and Throughput Constraints,Proceedings of IEEE International Conference on Computer Communications(INFOCOM),2023-投稿中


3. 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),2022


4. 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),2022


5. 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


6. 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) ,2022


7. 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) ,2022


8. 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),2022


9. 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),2022


10. 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) ,2022


11. Canhui Chen, Zerui Cheng, Shutong Qu, Zhixuan Fang,Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm,arxiv,2022


12. Jingfan Yu, Mengqian Zhang, Xi Chen, Zhixuan Fang,SoK: Play-to-Earn Projects,arxiv,2022


13. Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang,Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints,Performance Evaluation,2021


14. Ningning Ding; Zhixuan Fang; Lingjie Duan; Jianwei Huang,Optimal Incentive and Load Design for Distributed Coded Machine Learning,IEEE Journal on Selected Areas in Communications(JSAC) ,2021


15. Ningning Ding; Zhixuan Fang; Jianwei Huang,Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information,IEEE Journal on Selected Areas in Communications(JSAC) ,2021


16.  Yihan Du, Siwei Wang, Zhixuan Fang, and Longbo Huang, Continuous Mean-Covariance Bandits,Proceedings of the 35th Conference on Neural Information Processing Systems(NeurIPS) ,2021


17. Ningning Ding; Zhixuan Fang; Lingjie Duan; Jianwei Huang,Incentive Mechanism Design for Distributed Coded Machine Learning,Proceedings of IEEE International Conference on Computer Communications(INFOCOM) ,2021


18. Ningning Ding, Zhixuan Fang, and Jianwei Huang,Information Disclosure Game on Sharing Platforms,Proceedings of The 2020 IEEE Global Communications Conference(Globecom)  ,2020