Publications
2025
[ICLR] On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li. ICLR 2025. [arXiv]
[ICLR] Direct Online Preference Learning for Restless Multi-Armed Bandits with Preference Feedback
Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai. ICLR 2025. [arXiv]
[IEEE ICC] Multi-Agent Reinforcement Learning Aided Smart Agriculture Networks
Guojun Xiong, Jianlin Guo, Kieran Parsons, Yukimasa Nagai, Takenori Sumi, Philip Orlik, Jian Li. IEEE ICC 2025. [arXiv]
[AAMAS] Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe. AAMAS 2025. [arXiv]
[AAAI] Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu. AAAI 2025. (Oral Presentation) [arXiv]
2024
[Neurips] The Finben: An Holistic Financial Benchmark for Large Language Models
Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, et al. NeurIPS 2024. [arXiv]
[Neurips] FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie. NeurIPS 2024. [arXiv]
[ACM MobiHoc] Straggler-resilient decentralized learning via adaptive asynchronous updates
Guojun Xiong*, Gang Yan*, Shiqiang Wang, Jian Li. AIoT 2024 (In conjunction with ACM MobiHoc 2024) [arXiv]
[RLC Workshop] Personalized Federated Reinforcement Learning
with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li. Reinforcement Learning Conference 2024 (Deployable RL Workshop: From Research to Practice) [arXiv]
[IEEE TWC] Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
Shufan Wang, Guojun Xiong, Shichen Zhang, Huacheng Zeng, Jian Li, Shivendra Panwar. (IEEE Transaction on Wireless Communication 2024) [arXiv]
[IEEE/ACM TON] Whittle Index-based Q-Learning for Wireless Edge Caching with Linear Function Approximation
Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh. (IEEE/ACM Transactions on Networking 2024) [arXiv]
[ICML] Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
Guojun Xiong, Jian Li. ICML 2024. [arXiv]
[AAAI] DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li. AAAI 2024. [arXiv]
[AAAI] Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li. AAAI 2024. [arXiv]
2023
2022
[Neurips] Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
Guojun Xiong, Shufan Wang, Jian Li. NuerIPS 2022. [paper]
[ACM MobiHoc] Index-Aware Reinforcement Learning for Adaptive Video Streaming at the Wireless Edge
Guojun Xiong, Xudong Qin, Bin Li, Rahul Singh, Jian Li. ACM Mobihoc 2022. [arXiv]
[IEEE INFOCOM] Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shufan Wang, Gang Yan, Jian Li. IEEE INFOCOM, 2022. [arXiv]
[AAAI] Reinforcement Learning Augmented Asymptotically Optimal Index Policies for Finite-Horizon Restless Bandits
Guojun Xiong, Jian Li, Rahul Singh. AAAI 2022. (Oral Presentation) [arXiv]
2020
Preprints
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
Guojun Xiong*, Mauricio Tec*, Haichuan Wang, Milind Tambe. [arXiv]
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