Conference and Journal Papers

1. Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, and Han Qiu, “The Earth is Flat because…: Investigating LLMs’ Belief towards Misinformation via Persuasive Conversation”, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024.

2. Yuming Shao and Zhixuan Fang, “On Multi-Armed Bandit with Impatient Arms”, Proceedings of the Forty-first International Conference on Machine Learning (ICML), July 2024.

3. Boning Li, Zhixuan Fang, and Longbo Huang, “RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning”, Proceedings of the Forty-first International Conference on Machine Learning (ICML), July 2024.

4. Yirui Zhang and Zhixuan Fang, “Decentralized Two-Sided Bandit Learning in Matching Market,” Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI), July 2024.

5. Qingsong Liu and Zhixuan Fang, “Learning the Optimal Control for Evolving Systems with Converging Dynamics,” Proceedings of the ACM on Measurement and Analysis of Computing Systems, volume 8, 2024. [Accepted directly through ACM SIGMETRICS 2024 as the full version](SIGMETRICS)(POMACS), June 2024.

6. Rongwu Xu and Zhixuan Fang, “Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training,” Proceedings of The International Joint Conference on Neural Networks (IJCNN), June 2024.

7. Qingsong Liu, Weihang Xu, and Zhixuan Fang, “Learning-based Scheduling for Information Gathering with QoS Constraints,” Proceedings of IEEE International Conference on Computer Communications (INFOCOM), May 2024.

8. Yirui Zhang and Zhixuan Fang, “Decentralized Competing Bandits in Many-to-One Matching Markets,” Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)(Extended abstract), May 2024.

9. Junning Shao, Siwei Wang, and Zhixuan Fang, “Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit,” Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)(Extended abstract), May 2024.

10. Qingsong Liu and Zhixuan Fang, “Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS regret of Multi-player Bandits”, Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), February 2024.

11. Qingsong Liu and Zhixuan Fang, “Online Task Scheduling and Termination with Throughput Constraint,” IEEE/ACM Transactions on Networking (ToN), to appear.

12. Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang, “Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning,” IEEE/ACM Transactions on Networking (ToN), 2024.

13. 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. (Best Paper Candidate)

14. 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), July, 2023.

15. 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), June 2023.

16. Canhui Chen and Zhixuan Fang, “Gacha Game Analysis and Design,” Proceedings of the ACM on Measurement and Analysis of Computing Systems, volume 7, 2023. [Accepted directly through ACM SIGMETRICS 2023 as the full version](SIGMETRICS)(POMACS), June 2023.

17. 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.

18. Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, and Jianwei Huang, “Mechanisms Design for Blockchain Storage Sustainability,” IEEE Communications Magazine, 2023.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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)

25. 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.

26. 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.

27. 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.

28. 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.

29. 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, volume 152, 2021. [Accepted directly through IFIP Performance 2021 as the full version](Performance)(PEVA), November 2021.

30. 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.

31. 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.

32. 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.

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

34. 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.

35. 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.

36. 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.

37. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Loyalty programs in the sharing economy: Optimality and competition,” Elsevier's Performance Evaluation (PEVA), volume 143, 2020.

38. 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.

39. Zhixuan Fang, Longbo Huang, and Adam Wierman, “Prices and Subsidies in the Sharing Economy,” Elsevier's Performance Evaluation (PEVA), volume 136, 2019.

40. 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.
    

41. 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.
    

42. 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.
    

43. Zhixuan Fang and Longbo Huang, “Market Share Analysis with Brand Effect,” Proceedings of IEEE Conference on Decision and Control (CDC), December 2016.
    

44. 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.