Market Share Analysis with Brand Effect: (Extended Abstract). - Zhixuan Fang; Longbo Huang (AAMAS, 2016)

Market share analysis with brand effect. - Zhixuan Fang; Longbo Huang (CDC, 2016)

Boosting Sharing Economy: Social Welfare or Revenue Driven? - Zhixuan Fang; Longbo Huang (CoRR, 2016)

A Two-Stage Mechanism for Ordinal Peer Assessment. - Zhize Li; Le Zhang; Zhixuan Fang; Jian Li 015 (SAGT, 2018)

Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (CoRR, 2018)

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (AAAI, 2019)

Prices and subsidies in the sharing economy. - Zhixuan Fang; Longbo Huang; Adam Wierman (Perform. Evaluation, 2019)

Information Disclosure Game on Sharing Platforms. - Ningning Ding; Zhixuan Fang; Jianwei Huang 001 (GLOBECOM, 2020)

Economics of Blockchain Storage. - Yunshu Liu; Zhixuan Fang; Man Hon Cheung; Wei Cai 002; Jianwei Huang 001 (ICC, 2020)

When Reputation Meets Subsidy: How to Build High Quality On Demand Service Platforms. - Zhixuan Fang; Jianwei Huang 001 (INFOCOM, 2020)

Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information. - Ningning Ding; Zhixuan Fang; Jianwei Huang 001 (WiOpt, 2020)

Loyalty programs in the sharing economy: Optimality and competition. - Zhixuan Fang; Longbo Huang; Adam Wierman (Perform. Evaluation, 2020)

Incentive Mechanism Design for Distributed Coded Machine Learning. - Ningning Ding; Zhixuan Fang; Lingjie Duan; Jianwei Huang 001 (INFOCOM, 2021)

Continuous Mean-Covariance Bandits. - Yihan Du; Siwei Wang 002; Zhixuan Fang; Longbo Huang (NeurIPS, 2021)

A Social Welfare Maximization Mechanism for Blockchain Storage. - Yunshu Liu; Zhixuan Fang; Man Hon Cheung; Wei Cai 002; Jianwei Huang 001 (CoRR, 2021)

Optimal Incentive and Load Design for Distributed Coded Machine Learning. - Ningning Ding; Zhixuan Fang; Lingjie Duan; Jianwei Huang 001 (IEEE J. Sel. Areas Commun., 2021)

Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. - Ningning Ding; Zhixuan Fang; Jianwei Huang 001 (IEEE J. Sel. Areas Commun., 2021)

Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints. - Qingsong Liu 001; Wenfei Wu; Longbo Huang; Zhixuan Fang (Perform. Evaluation, 2021)

Economic Analysis of Decentralized Exchange Market with Transaction Fee Mining. - Hongbo Zhang; Sizheng Fan; Zhixuan Fang; Wei Cai 002 (BSCI, 2022)

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. - Pihe Hu; Ling Pan; Yu Chen 074; Zhixuan Fang; Longbo Huang (MobiHoc, 2022)

Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness. - Qingsong Liu 001; Weihang Xu; Siwei Wang 002; Zhixuan Fang (NeurIPS, 2022)

Matching in Multi-arm Bandit with Collision. - Yirui Zhang; Siwei Wang 002; Zhixuan Fang (NeurIPS, 2022)

Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design. - Jiayuan Liu; Canhui Chen; Lulu Zhou; Zhixuan Fang (WiOpt, 2022)

Online Convex Optimization with Switching Costs: Algorithms and Performance. - Qingsong Liu 001; Zhuoran Li; Zhixuan Fang (WiOpt, 2022)

SoK: Play-to-Earn Projects. - Jingfan Yu; Mengqian Zhang; Xi Chen 001; Zhixuan Fang (CoRR, 2022)

TIPS: Transaction Inclusion Protocol With Signaling in DAG-Based Blockchain. - Canhui Chen; Xu Chen 004; Zhixuan Fang (IEEE J. Sel. Areas Commun., 2022)

A Storage Sustainability Mechanism With Heterogeneous Miners in Blockchain. - Yunshu Liu; Shulin Ke; Zhixuan Fang; Man Hon Cheung; Wei Cai 002; Jianwei Huang 001 (IEEE J. Sel. Areas Commun., 2022)

An Incentive Mechanism for Sustainable Blockchain Storage. - Yunshu Liu; Zhixuan Fang; Man Hon Cheung; Wei Cai 002; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2022)

Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm. - Canhui Chen; Zerui Cheng; Shutong Qu; Zhixuan Fang (APNet, 2023)

MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments. - Rongwu Xu; Sen Yang; Fan Zhang 022; Zhixuan Fang (EuroS&P, 2023)

Learning to Schedule Tasks with Deadline and Throughput Constraints. - Qingsong Liu 001; Zhixuan Fang (INFOCOM, 2023)

We-TIPS: Weak-Block-Based Transaction Inclusion Protocol with Signaling in DAG-based Blockchain. - Canhui Chen; Zhixuan Fang (WiOpt, 2023)

Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation. - Yujie Wang; Chao Huang; Liner Yang; Zhixuan Fang; Yaping Huang; Yang Liu 359; Erhong Yang (CoRR, 2023)

SAKSHI: Decentralized AI Platforms. - Suma Bhat; Canhui Chen; Zerui Cheng; Zhixuan Fang; S. Ashwin Hebbar; Sreeram Kannan; Ranvir Rana; Peiyao Sheng; Himanshu Tyagi; Pramod Viswanath; Xuechao Wang (CoRR, 2023)

Information Disclosure under Competition in Sharing Systems. - Ningning Ding; Zhixuan Fang; Jianwei Huang 001 (CoRR, 2023)

Gacha Game Analysis and Design. - Canhui Chen; Zhixuan Fang (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Mechanism Design for Blockchain Storage Sustainability. - Yunshu Liu; Zhixuan Fang; Man Hon Cheung; Wei Cai 002; Jianwei Huang 001 (IEEE Commun. Mag., 2023)

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits. - Qingsong Liu 001; Zhixuan Fang (AAAI, 2024)

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 004; Zhixuan Fang; Wei Xu 039; Han Qiu 001 (ACL (1), 2024)

Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. - Junning Shao; Siwei Wang 002; Zhixuan Fang (AAMAS, 2024)

Decentralized Competing Bandits in Many-to-One Matching Markets. - Yirui Zhang; Zhixuan Fang (AAMAS, 2024)

Cost-Efficient Crowdsourcing for Span-Based Sequence Labeling: Worker Selection and Data Augmentation. - Yujie Wang; Chao Huang; Liner Yang; Zhixuan Fang; Yaping Huang; Yang Liu 359; Jingsi Yu; Erhong Yang (CCL, 2024)

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. - Boning Li; Zhixuan Fang; Longbo Huang (ICML, 2024)

On Multi-Armed Bandit with Impatient Arms. - Yuming Shao; Zhixuan Fang (ICML, 2024)

Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training. - Rongwu Xu; Zhixuan Fang (IJCNN, 2024)

Learning-based Scheduling for Information Gathering with QoS Constraints. - Qingsong Liu 001; Weihang Xu; Zhixuan Fang (INFOCOM, 2024)

Decentralized Two-Sided Bandit Learning in Matching Market. - Yirui Zhang; Zhixuan Fang (UAI, 2024)

Proof-of-Learning with Incentive Security. - Zishuo Zhao; Zhixuan Fang; Xuechao Wang; Xi Chen; Yuan Zhou (CoRR, 2024)

Learning the Optimal Control for Evolving Systems with Converging Dynamics. - Qingsong Liu 001; Zhixuan Fang (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. - Pihe Hu; Yu Chen 074; Ling Pan; Zhixuan Fang; Fu Xiao 001; Longbo Huang (IEEE/ACM Trans. Netw., 2024)

Online Task Scheduling and Termination With Throughput Constraint. - Qingsong Liu 001; Zhixuan Fang (IEEE/ACM Trans. Netw., 2024)

Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification. - Yuming Shao; Zhixuan Fang (AAAI, 2025)

User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services. - Qijun Miao; Zhixuan Fang (ACL (1), 2025)

Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning. - Jiaxuan Jiang; Ling Pan; Lin Zhou; Longbo Huang; Zhixuan Fang (AAMAS, 2025)

Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits. - Jiayuan Liu; Siwei Wang; Zhixuan Fang (AAMAS, 2025)

Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach. - Yuming Shao; Zhixuan Fang (AAMAS, 2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. - Junning Shao; Siwei Wang; Zhixuan Fang (AAMAS, 2025)

Cost-Optimized Crowdsourcing for NLP via Worker Selection and Data Augmentation. - Liner Yang; Yujie Wang; Zhixuan Fang; Yaping Huang; Erhong Yang (IEEE Trans. Netw. Sci. Eng., 2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. - Junning Shao; Siwei Wang 002; Zhixuan Fang (CoRR, 2025)