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Zhixuan Fang
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2020 – today
- 2024
- [j13]Qingsong Liu
, Zhixuan Fang
:
Learning the Optimal Control for Evolving Systems with Converging Dynamics. Proc. ACM Meas. Anal. Comput. Syst. 8(2): 23:1-23:39 (2024) - [j12]Pihe Hu
, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao
, Longbo Huang
:
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. 32(3): 2344-2359 (2024) - [c27]Qingsong Liu, Zhixuan Fang:
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits. AAAI 2024: 13981-13989 - [c26]Junning Shao, Siwei Wang, Zhixuan Fang:
Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. AAMAS 2024: 2459-2461 - [c25]Yirui Zhang, Zhixuan Fang:
Decentralized Competing Bandits in Many-to-One Matching Markets. AAMAS 2024: 2603-2605 - [c24]Qingsong Liu
, Zhixuan Fang
:
Learning the Optimal Control for Evolving Systems with Converging Dynamics. SIGMETRICS/Performance (Abstracts) 2024: 29-30 - [i20]Rongwu Xu, Zhixuan Fang:
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training. CoRR abs/2401.11531 (2024) - [i19]Boning Li, Zhixuan Fang, Longbo Huang:
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR abs/2403.04344 (2024) - [i18]Zishuo Zhao, Zhixuan Fang, Xuechao Wang, Xi Chen, Yuan Zhou:
Proof-of-Learning with Incentive Security. CoRR abs/2404.09005 (2024) - 2023
- [j11]Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang:
Mechanism Design for Blockchain Storage Sustainability. IEEE Commun. Mag. 61(8): 102-107 (2023) - [j10]Canhui Chen
, Zhixuan Fang
:
Gacha Game Analysis and Design. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 6:1-6:45 (2023) - [c23]Canhui Chen
, Zerui Cheng
, Shutong Qu
, Zhixuan Fang
:
Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm. APNet 2023: 174-175 - [c22]Rongwu Xu, Sen Yang, Fan Zhang
, Zhixuan Fang:
MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments. EuroS&P 2023: 352-372 - [c21]Qingsong Liu, Zhixuan Fang:
Learning to Schedule Tasks with Deadline and Throughput Constraints. INFOCOM 2023: 1-10 - [c20]Canhui Chen
, Zhixuan Fang
:
Gacha Game Analysis and Design. SIGMETRICS (Abstracts) 2023: 25-26 - [c19]Canhui Chen, Zhixuan Fang:
We-TIPS: Weak-Block-Based Transaction Inclusion Protocol with Signaling in DAG-based Blockchain. WiOpt 2023: 191-198 - [i17]Yujie Wang, Chao Huang, Liner Yang, Zhixuan Fang, Yaping Huang, Yang Liu, Erhong Yang:
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation. CoRR abs/2305.06683 (2023) - [i16]Rongwu Xu, Sen Yang, Fan Zhang, Zhixuan Fang:
MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments. CoRR abs/2305.06833 (2023) - [i15]Suma Bhat, Canhui Chen, Zerui Cheng, Zhixuan Fang, S. Ashwin Hebbar, Sreeram Kannan, Ranvir Rana, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Xuechao Wang:
SAKSHI: Decentralized AI Platforms. CoRR abs/2307.16562 (2023) - [i14]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Information Disclosure under Competition in Sharing Systems. CoRR abs/2308.16320 (2023) - [i13]Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu:
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation. CoRR abs/2312.09085 (2023) - 2022
- [j9]Yunshu Liu
, Shulin Ke
, Zhixuan Fang, Man Hon Cheung
, Wei Cai
, Jianwei Huang
:
A Storage Sustainability Mechanism With Heterogeneous Miners in Blockchain. IEEE J. Sel. Areas Commun. 40(12): 3645-3659 (2022) - [j8]Canhui Chen, Xu Chen
, Zhixuan Fang
:
TIPS: Transaction Inclusion Protocol With Signaling in DAG-Based Blockchain. IEEE J. Sel. Areas Commun. 40(12): 3685-3701 (2022) - [j7]Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. SIGMETRICS Perform. Evaluation Rev. 49(3): 4-5 (2022) - [j6]Yunshu Liu
, Zhixuan Fang
, Man Hon Cheung
, Wei Cai
, Jianwei Huang
:
An Incentive Mechanism for Sustainable Blockchain Storage. IEEE/ACM Trans. Netw. 30(5): 2131-2144 (2022) - [c18]Hongbo Zhang, Sizheng Fan, Zhixuan Fang, Wei Cai:
Economic Analysis of Decentralized Exchange Market with Transaction Fee Mining. BSCI 2022: 59-70 - [c17]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc 2022: 1-10 - [c16]Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang:
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness. NeurIPS 2022 - [c15]Yirui Zhang, Siwei Wang, Zhixuan Fang:
Matching in Multi-arm Bandit with Collision. NeurIPS 2022 - [c14]Qingsong Liu, Zhuoran Li, Zhixuan Fang:
Online Convex Optimization with Switching Costs: Algorithms and Performance. WiOpt 2022: 1-8 - [c13]Jiayuan Liu, Canhui Chen, Lulu Zhou, Zhixuan Fang:
Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design. WiOpt 2022: 193-200 - [i12]Canhui Chen, Xu Chen, Zhixuan Fang:
TIPS: Transaction Inclusion Protocol with Signaling in DAG-based Blockchain. CoRR abs/2207.04841 (2022) - [i11]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR abs/2208.14074 (2022) - [i10]Jingfan Yu, Mengqian Zhang, Xi Chen, Zhixuan Fang:
SoK: Play-to-Earn Projects. CoRR abs/2211.01000 (2022) - [i9]Canhui Chen, Zerui Cheng, Shutong Qu, Zhixuan Fang:
Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm. CoRR abs/2211.06669 (2022) - 2021
- [j5]Ningning Ding
, Zhixuan Fang, Jianwei Huang:
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. IEEE J. Sel. Areas Commun. 39(1): 186-200 (2021) - [j4]Ningning Ding
, Zhixuan Fang, Lingjie Duan
, Jianwei Huang
:
Optimal Incentive and Load Design for Distributed Coded Machine Learning. IEEE J. Sel. Areas Commun. 39(7): 2090-2104 (2021) - [j3]Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints. Perform. Evaluation 152: 102240 (2021) - [c12]Ningning Ding, Zhixuan Fang, Lingjie Duan
, Jianwei Huang:
Incentive Mechanism Design for Distributed Coded Machine Learning. INFOCOM 2021: 1-10 - [c11]Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang:
Continuous Mean-Covariance Bandits. NeurIPS 2021: 875-886 - [i8]Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang:
Continuous Mean-Covariance Bandits. CoRR abs/2102.12090 (2021) - [i7]Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang:
A Social Welfare Maximization Mechanism for Blockchain Storage. CoRR abs/2103.05866 (2021) - [i6]Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. CoRR abs/2111.07707 (2021) - 2020
- [j2]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation 143: 102105 (2020) - [c10]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Information Disclosure Game on Sharing Platforms. GLOBECOM 2020: 1-6 - [c9]Yunshu Liu, Zhixuan Fang, Man Hon Cheung, Wei Cai, Jianwei Huang:
Economics of Blockchain Storage. ICC 2020: 1-6 - [c8]Zhixuan Fang, Jianwei Huang:
When Reputation Meets Subsidy: How to Build High Quality On Demand Service Platforms. INFOCOM 2020: 944-953 - [c7]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information. WiOpt 2020: 33-40 - [i5]Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Incentive Mechanism Design for Distributed Coded Machine Learning. CoRR abs/2012.08715 (2020)
2010 – 2019
- 2019
- [j1]Zhixuan Fang
, Longbo Huang, Adam Wierman:
Prices and subsidies in the sharing economy. Perform. Evaluation 136 (2019) - [c6]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI 2019: 1393-1400 - 2018
- [c5]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc 2018: 131-140 - [c4]Zhize Li, Le Zhang, Zhixuan Fang, Jian Li:
A Two-Stage Mechanism for Ordinal Peer Assessment. SAGT 2018: 176-188 - [i4]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
Rebalancing Dockless Bike Sharing Systems. CoRR abs/1802.04592 (2018) - [i3]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. CoRR abs/1805.03581 (2018) - 2017
- [c3]Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and Subsidies in the Sharing Economy. WWW 2017: 53-62 - 2016
- [c2]Zhixuan Fang, Longbo Huang:
Market Share Analysis with Brand Effect: (Extended Abstract). AAMAS 2016: 1335-1336 - [c1]Zhixuan Fang, Longbo Huang:
Market share analysis with brand effect. CDC 2016: 7016-7023 - [i2]Zhixuan Fang, Longbo Huang:
Boosting Sharing Economy: Social Welfare or Revenue Driven? CoRR abs/1604.01627 (2016) - [i1]Zhixuan Fang, Longbo Huang:
Market Share Analysis with Brand Effect. CoRR abs/1604.01672 (2016)
Coauthor Index
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