Zhixuan Fang

84 papers A* 13A 10B 10Journal 42Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Many-to-One Resource Allocation: The Competing Bandit Approach.
IEEE Trans. Netw.
Yirui Zhang, Zhixuan Fang
2026 J jnl
Transaction Collision Mitigation in DAG Blockchains: The Weak-Block Signaling Approach.
IEEE Trans. Netw.
Canhui Chen, Zhixuan Fang
2025 J jnl
A Multidimensional Contract Design for Smart Contract-as-a-Service.
IEEE Trans. Comput. Soc. Syst.
Jinghan Sun, Hou-Wan Long, Hong Kang, Zhixuan Fang, Abdulmotaleb El Saddik, Wei Cai
2025 J jnl
Cost-Optimized Crowdsourcing for NLP via Worker Selection and Data Augmentation.
IEEE Trans. Netw. Sci. Eng.
Liner Yang, Yujie Wang, Zhixuan Fang, Yaping Huang, Erhong Yang
2025 B conf
Efficient Fair Ordering Protocol with 2-Hop Receiver Fairness.
SRDS
Jingfan Yu, Sisi Duan, Zhixuan Fang
2025 A conf
Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits.
AAMAS
Jiayuan Liu, Siwei Wang, Zhixuan Fang
2025 J jnl
Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits.
CoRR
Jiayuan Liu, Siwei Wang, Zhixuan Fang
2025 A conf
Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach.
AAMAS
Yuming Shao, Zhixuan Fang
2025 A conf
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit.
AAMAS
Junning Shao, Siwei Wang, Zhixuan Fang
2025 J jnl
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit.
CoRR
Junning Shao, Siwei Wang, Zhixuan Fang
2025 A* conf
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification.
AAAI
Yuming Shao, Zhixuan Fang
2025 A conf
Multi-Armed Bandits with Biased and Heteroscedastic Auxiliary Rewards.
CIKM
Zechen Yin, Zhixuan Fang
2025 J jnl
Smoothed Online Decision Making in Communication: Algorithms and Applications.
IEEE Trans. Netw.
Qingsong Liu, Zhuoran Li, Zhixuan Fang
2025 A conf
Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning.
AAMAS
Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang
2025 J jnl
The "Carpet-like" Mechanism of NaD1 on
J. Chem. Inf. Model.
Yueru Zhao, Ximeng Sun, Mengmeng Yuan, Zhixuan Fang, Hua Yu
2025 — conf
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services.
ACL (1)
Qijun Miao, Zhixuan Fang
2024 A conf
Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit.
AAMAS
Junning Shao, Siwei Wang, Zhixuan Fang
2024 — conf
Cost-Efficient Crowdsourcing for Span-Based Sequence Labeling: Worker Selection and Data Augmentation.
CCL
Yujie Wang, Chao Huang, Liner Yang, Zhixuan Fang, Yaping Huang, Yang Liu, Jingsi Yu, Erhong Yang
2024 A conf
Decentralized Competing Bandits in Many-to-One Matching Markets.
AAMAS
Yirui Zhang, Zhixuan Fang
2024 A* conf
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits.
AAAI
Qingsong Liu, Zhixuan Fang
2024 A conf
Decentralized Two-Sided Bandit Learning in Matching Market.
UAI
Yirui Zhang, Zhixuan Fang
2024 — conf
Learning the Optimal Control for Evolving Systems with Converging Dynamics.
SIGMETRICS/Performance (Abstracts)
Qingsong Liu, Zhixuan Fang
2024 J jnl
Learning the Optimal Control for Evolving Systems with Converging Dynamics.
Proc. ACM Meas. Anal. Comput. Syst.
Qingsong Liu, Zhixuan Fang
2024 A* conf
Learning-based Scheduling for Information Gathering with QoS Constraints.
INFOCOM
Qingsong Liu, Weihang Xu, Zhixuan Fang
2024 J jnl
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.
IEEE/ACM Trans. Netw.
Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
2024 A* conf
On Multi-Armed Bandit with Impatient Arms.
ICML
Yuming Shao, Zhixuan Fang
2024 J jnl
Online Task Scheduling and Termination With Throughput Constraint.
IEEE/ACM Trans. Netw.
Qingsong Liu, Zhixuan Fang
2024 J jnl
Proof-of-Learning with Incentive Security.
CoRR
Zishuo Zhao, Zhixuan Fang, Xuechao Wang, Xi Chen, Yuan Zhou
2024 A* conf
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning.
ICML
Boning Li, Zhixuan Fang, Longbo Huang
2024 J jnl
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning.
CoRR
Boning Li, Zhixuan Fang, Longbo Huang
2024 B conf
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training.
IJCNN
Rongwu Xu, Zhixuan Fang
2024 J jnl
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training.
CoRR
Rongwu Xu, Zhixuan Fang
2024 — conf
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.
ACL (1)
Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu
2023 J jnl
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation.
CoRR
Yujie Wang, Chao Huang, Liner Yang, Zhixuan Fang, Yaping Huang, Yang Liu, Erhong Yang
2023 — conf
Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm.
APNet
Canhui Chen, Zerui Cheng, Shutong Qu, Zhixuan Fang
2023 — conf
Gacha Game Analysis and Design.
SIGMETRICS (Abstracts)
Canhui Chen, Zhixuan Fang
2023 J jnl
Gacha Game Analysis and Design.
Proc. ACM Meas. Anal. Comput. Syst.
Canhui Chen, Zhixuan Fang
2023 J jnl
Information Disclosure under Competition in Sharing Systems.
CoRR
Ningning Ding, Zhixuan Fang, Jianwei Huang
2023 A* conf
Learning to Schedule Tasks with Deadline and Throughput Constraints.
INFOCOM
Qingsong Liu, Zhixuan Fang
2023 A conf
MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments.
EuroS&P
Rongwu Xu, Sen Yang, Fan Zhang, Zhixuan Fang
2023 J jnl
MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments.
CoRR
Rongwu Xu, Sen Yang, Fan Zhang, Zhixuan Fang
2023 J jnl
Mechanism Design for Blockchain Storage Sustainability.
IEEE Commun. Mag.
Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
2023 J jnl
SAKSHI: Decentralized AI Platforms.
CoRR
Suma Bhat, Canhui Chen, Zerui Cheng, Zhixuan Fang, S. Ashwin Hebbar, Sreeram Kannan, Ranvir Rana, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Xuechao Wang
2023 J jnl
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.
CoRR
Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu
2023 B conf
We-TIPS: Weak-Block-Based Transaction Inclusion Protocol with Signaling in DAG-based Blockchain.
WiOpt
Canhui Chen, Zhixuan Fang
2022 J jnl
A Storage Sustainability Mechanism With Heterogeneous Miners in Blockchain.
IEEE J. Sel. Areas Commun.
Yunshu Liu, Shulin Ke, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
2022 J jnl
An Incentive Mechanism for Sustainable Blockchain Storage.
IEEE/ACM Trans. Netw.
Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
2022 A* conf
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness.
NeurIPS
Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
2022 J jnl
Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm.
CoRR
Canhui Chen, Zerui Cheng, Shutong Qu, Zhixuan Fang
2022 — conf
Economic Analysis of Decentralized Exchange Market with Transaction Fee Mining.
BSCI
Hongbo Zhang, Sizheng Fan, Zhixuan Fang, Wei Cai
2022 J jnl
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning.
CoRR
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022 B conf
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.
MobiHoc
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022 A* conf
Matching in Multi-arm Bandit with Collision.
NeurIPS
Yirui Zhang, Siwei Wang, Zhixuan Fang
2022 B conf
Online Convex Optimization with Switching Costs: Algorithms and Performance.
WiOpt
Qingsong Liu, Zhuoran Li, Zhixuan Fang
2022 B conf
Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design.
WiOpt
Jiayuan Liu, Canhui Chen, Lulu Zhou, Zhixuan Fang
2022 J jnl
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints.
SIGMETRICS Perform. Evaluation Rev.
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2022 J jnl
SoK: Play-to-Earn Projects.
CoRR
Jingfan Yu, Mengqian Zhang, Xi Chen, Zhixuan Fang
2022 J jnl
TIPS: Transaction Inclusion Protocol With Signaling in DAG-Based Blockchain.
IEEE J. Sel. Areas Commun.
Canhui Chen, Xu Chen, Zhixuan Fang
2022 J jnl
TIPS: Transaction Inclusion Protocol with Signaling in DAG-based Blockchain.
CoRR
Canhui Chen, Xu Chen, Zhixuan Fang
2021 J jnl
A Social Welfare Maximization Mechanism for Blockchain Storage.
CoRR
Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
2021 A* conf
Continuous Mean-Covariance Bandits.
NeurIPS
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021 J jnl
Continuous Mean-Covariance Bandits.
CoRR
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021 A* conf
Incentive Mechanism Design for Distributed Coded Machine Learning.
INFOCOM
Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang
2021 J jnl
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information.
IEEE J. Sel. Areas Commun.
Ningning Ding, Zhixuan Fang, Jianwei Huang
2021 J jnl
Optimal Incentive and Load Design for Distributed Coded Machine Learning.
IEEE J. Sel. Areas Commun.
Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang
2021 J jnl
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints.
CoRR
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2021 J jnl
Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints.
Perform. Evaluation
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2020 — conf
Economics of Blockchain Storage.
ICC
Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang
2020 J jnl
Incentive Mechanism Design for Distributed Coded Machine Learning.
CoRR
Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang
2020 B conf
Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information.
WiOpt
Ningning Ding, Zhixuan Fang, Jianwei Huang
2020 B conf
Information Disclosure Game on Sharing Platforms.
GLOBECOM
Ningning Ding, Zhixuan Fang, Jianwei Huang
2020 J jnl
Loyalty programs in the sharing economy: Optimality and competition.
Perform. Evaluation
Zhixuan Fang, Longbo Huang, Adam Wierman
2020 A* conf
When Reputation Meets Subsidy: How to Build High Quality On Demand Service Platforms.
INFOCOM
Zhixuan Fang, Jianwei Huang
2019 A* conf
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems.
AAAI
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2019 J jnl
Prices and subsidies in the sharing economy.
Perform. Evaluation
Zhixuan Fang, Longbo Huang, Adam Wierman
2018 B conf
A Two-Stage Mechanism for Ordinal Peer Assessment.
SAGT
Zhize Li, Le Zhang, Zhixuan Fang, Jian Li
2018 B conf
Loyalty Programs in the Sharing Economy: Optimality and Competition.
MobiHoc
Zhixuan Fang, Longbo Huang, Adam Wierman
2018 J jnl
Loyalty Programs in the Sharing Economy: Optimality and Competition.
CoRR
Zhixuan Fang, Longbo Huang, Adam Wierman
2018 J jnl
Rebalancing Dockless Bike Sharing Systems.
CoRR
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2017 A* conf
Prices and Subsidies in the Sharing Economy.
WWW
Zhixuan Fang, Longbo Huang, Adam Wierman
2016 J jnl
Boosting Sharing Economy: Social Welfare or Revenue Driven?
CoRR
Zhixuan Fang, Longbo Huang
2016 J jnl
Market Share Analysis with Brand Effect.
CoRR
Zhixuan Fang, Longbo Huang
2016 A conf
Market Share Analysis with Brand Effect: (Extended Abstract).
AAMAS
Zhixuan Fang, Longbo Huang
2016 — conf
Market share analysis with brand effect.
CDC
Zhixuan Fang, Longbo Huang