Distributed Filter Design and Power Allocation for Small-Cell MIMO Networks. - Guojun Xiong; Taejoon Kim; David J. Love (VTC Fall, 2017)

Leveraging subspace information for low-rank matrix reconstruction. - Wei Zhang 103; Taejoon Kim; Guojun Xiong; Shu-Hung Leung (Signal Process., 2019)

Learning Augmented Index Policy for Optimal Service Placement at the Network Edge. - Guojun Xiong; Rahul Singh 001; Jian Li 008 (CoRR, 2021)

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers. - Guojun Xiong; Gang Yan 002; Rahul Singh 001; Jian Li 008 (CoRR, 2021)

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits. - Guojun Xiong; Jian Li 008; Rahul Singh 001 (CoRR, 2021)

Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility. - Guojun Xiong; Taejoon Kim; David J. Love; Erik Perrins (IEEE Trans. Signal Process., 2021)

Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits. - Guojun Xiong; Jian Li 008; Rahul Singh 001 (AAAI, 2022)

Index-aware reinforcement learning for adaptive video streaming at the wireless edge. - Guojun Xiong; Xudong Qin; Bin Li 014; Rahul Singh 001; Jian Li 008 (MobiHoc, 2022)

Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness. - Guojun Xiong; Shufan Wang; Jian Li 008 (NeurIPS, 2022)

Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits. - Guojun Xiong; Shufan Wang; Jian Li 008; Rahul Singh 001 (CoRR, 2022)

Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits. - Guojun Xiong; Jian Li (AAAI, 2023)

Simulation Analysis of Electromagnetic Vibration of Shunt Reactor Based on AC and DC. - Dabiao Wang; Kai Mao; Jun Zhou; Liang Huang; Guojun Xiong; Hongkang You (ICCE-Berlin, 2023)

Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation. - Guojun Xiong; Jian Li (NeurIPS, 2023)

Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach. - Guojun Xiong; Shufan Wang; Gang Yan 002; Jian Li 008 (IEEE/ACM Trans. Netw., 2023)

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints. - Shufan Wang; Guojun Xiong; Jian Li (AAAI, 2024)

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. - Guojun Xiong; Gang Yan 002; Shiqiang Wang 001; Jian Li 008 (AAAI, 2024)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback. - Guojun Xiong; Jian Li 008 (ICML, 2024)

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. - Guojun Xiong; Gang Yan 002; Shiqiang Wang 001; Jian Li 008 (MobiHoc, 2024)

FinBen: A 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; et al. (NeurIPS, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yuechen Jiang; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Zhenyu Cui; Rong Liu; Zhaozhuo Xu; Denghui Zhang; et al. (NeurIPS, 2024)

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; et al. (CoRR, 2024)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback. - Guojun Xiong; Jian Li (CoRR, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Rong Liu; Zhenyu Cui; Denghui Zhang; Koduvayur Subbalakshmi; Guojun Xiong; et al. (CoRR, 2024)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. - Qianqian Xie; Dong Li; Mengxi Xiao; Zihao Jiang 012; Ruoyu Xiang; Xiao Zhang; Zhengyu Chen; Yueru He; Weiguang Han; Yuzhe Yang 002; Shunian Chen; Yifei Zhang; et al. (CoRR, 2024)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. - Haohang Li; Yupeng Cao; Yangyang Yu; Shashidhar Reddy Javaji; Zhiyang Deng; Yueru He; Yuechen Jiang; Zining Zhu 005; Koduvayur Subbalakshmi; Guojun Xiong; Jimin Huang; Lingfei Qian; et al. (CoRR, 2024)

Whittle Index-Based Q-Learning for Wireless Edge Caching With Linear Function Approximation. - Guojun Xiong; Shufan Wang; Jian Li 008; Rahul Singh 001 (IEEE/ACM Trans. Netw., 2024)

Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks. - Shufan Wang; Guojun Xiong; Shichen Zhang; Huacheng Zeng; Jian Li 008; Shivendra S. Panwar (IEEE Trans. Wirel. Commun., 2024)

Decentralized Federated Learning with Model Caching on Mobile Agents. - Xiaoyu Wang 015; Guojun Xiong; Houwei Cao; Jian Li; Yong Liu 013 (AAAI, 2025)

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. - Niclas Boehmer; Yunfan Zhao; Guojun Xiong; Paula Rodriguez Diaz; Paola Del Cueto Cibrian; Joseph Ngonzi; Adeline Boatin; Milind Tambe (AAAI, 2025)

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. - Guojun Xiong; Zhiyang Deng; Keyi Wang; Yupeng Cao; Haohang Li; Yangyang Yu; Xueqing Peng; Mingquan Lin; Kaleb E. Smith; Xiao-Yang Liu; Jimin Huang; Sophia Ananiadou; et al. (ACL (Findings), 2025)

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback. - Guojun Xiong; Ujwal Dinesha; Debajoy Mukherjee; Jian Li 008; Srinivas Shakkottai (ICLR, 2025)

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations. - Guojun Xiong; Shufan Wang; Daniel Jiang; Jian Li (ICLR, 2025)

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)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents. - Mauricio Tec; Guojun Xiong; Haichuan Wang; Francesca Dominici; Milind Tambe (CoRR, 2025)

Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence. - Heming Fu; Guojun Xiong; Jian Li; Shan Lin (CoRR, 2025)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data. - Lingkai Kong; Haichuan Wang; Tonghan Wang 001; Guojun Xiong; Milind Tambe (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)