| 2025 | AAAI | Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification. | Yuming Shao, Zhixuan Fang |
| 2025 | ACL | User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services. | Qijun Miao, Zhixuan Fang |
| 2025 | CIKM | Multi-Armed Bandits with Biased and Heteroscedastic Auxiliary Rewards. | Zechen Yin, Zhixuan Fang |
| 2025 | SRDS | Efficient Fair Ordering Protocol with 2-Hop Receiver Fairness. | Jingfan Yu, Sisi Duan, Zhixuan Fang |
| 2024 | AAAI | Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits. | Qingsong Liu, Zhixuan Fang |
| 2024 | ACL | The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation. | Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu |
| 2024 | ICML | RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. | Boning Li, Zhixuan Fang, Longbo Huang |
| 2024 | ICML | On Multi-Armed Bandit with Impatient Arms. | Yuming Shao, Zhixuan Fang |
| 2024 | IJCNN | Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training. | Rongwu Xu, Zhixuan Fang |
| 2024 | INFOCOM | Learning-based Scheduling for Information Gathering with QoS Constraints. | Qingsong Liu, Weihang Xu, Zhixuan Fang |
| 2024 | UAI | Decentralized Two-Sided Bandit Learning in Matching Market. | Yirui Zhang, Zhixuan Fang |
| 2024 | SIGMETRICS | Learning the Optimal Control for Evolving Systems with Converging Dynamics. | Qingsong Liu, Zhixuan Fang |
| 2023 | INFOCOM | Learning to Schedule Tasks with Deadline and Throughput Constraints. | Qingsong Liu, Zhixuan Fang |
| 2023 | SIGMETRICS | Gacha Game Analysis and Design. | Canhui Chen, Zhixuan Fang |
| 2023 | WiOpt | We-TIPS: Weak-Block-Based Transaction Inclusion Protocol with Signaling in DAG-based Blockchain. | Canhui Chen, Zhixuan Fang |
| 2022 | MOBIHOC | Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. | Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang |
| 2022 | WiOpt | Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design. | Jiayuan Liu, Canhui Chen, Lulu Zhou, Zhixuan Fang |
| 2022 | WiOpt | Online Convex Optimization with Switching Costs: Algorithms and Performance. | Qingsong Liu, Zhuoran Li, Zhixuan Fang |
| 2021 | INFOCOM | Incentive Mechanism Design for Distributed Coded Machine Learning. | Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang |
| 2020 | GLOBECOM | Information Disclosure Game on Sharing Platforms. | Ningning Ding, Zhixuan Fang, Jianwei Huang |
| 2020 | INFOCOM | When Reputation Meets Subsidy: How to Build High Quality On Demand Service Platforms. | Zhixuan Fang, Jianwei Huang |
| 2020 | WiOpt | Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information. | Ningning Ding, Zhixuan Fang, Jianwei Huang |
| 2019 | AAAI | A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. | Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang |
| 2018 | MOBIHOC | Loyalty Programs in the Sharing Economy: Optimality and Competition. | Zhixuan Fang, Longbo Huang, Adam Wierman |
| 2018 | SAGT | A Two-Stage Mechanism for Ordinal Peer Assessment. | Zhize Li, Le Zhang, Zhixuan Fang, Jian Li |
| 2017 | WWW | Prices and Subsidies in the Sharing Economy. | Zhixuan Fang, Longbo Huang, Adam Wierman |