| Finben: A holistic financial benchmark for large language models Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ... Advances in Neural Information Processing Systems 37, 95716-95743, 2025 | 57 | 2025 |
| Whittle Index-Based Q-Learning for Wireless Edge Caching With Linear Function Approximation G Xiong, S Wang, J Li, R Singh IEEE/ACM Transactions on Networking, 2024 | 26* | 2024 |
| Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits G Xiong, J Li, R Singh Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022, 2022 | 26* | 2022 |
| Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making Y Yu, Z Yao, H Li, Z Deng, Y Jiang, Y Cao, Z Chen, J Suchow, Z Cui, R Liu, ... Advances in Neural Information Processing Systems 37, 137010-137045, 2025 | 24 | 2025 |
| Reinforcement learning for dynamic dimensioning of cloud caches: A restless bandit approach G Xiong, S Wang, G Yan, J Li IEEE/ACM Transactions on Networking 31 (5), 2147-2161, 2023 | 21 | 2023 |
| Straggler-resilient decentralized learning via adaptive asynchronous updates G Xiong, G Yan, S Wang, J Li Proceedings of the Twenty-fifth International Symposium on Theory …, 2024 | 20* | 2024 |
| Index-aware reinforcement learning for adaptive video streaming at the wireless edge G Xiong, X Qin, B Li, R Singh, J Li Proceedings of the Twenty-Third International Symposium of ACM MobiHoc, 81-90, 2022 | 20 | 2022 |
| Open-finllms: Open multimodal large language models for financial applications Q Xie, D Li, M Xiao, Z Jiang, R Xiang, X Zhang, Z Chen, Y He, W Han, ... arXiv preprint arXiv:2408.11878, 2024 | 17 | 2024 |
| Finite-time analysis of whittle index based Q-learning for restless multi-armed bandits with neural network function approximation G Xiong, J Li Advances in Neural Information Processing Systems 36, 29048-29073, 2023 | 15 | 2023 |
| Learning infinite-horizon average-reward restless multi-action bandits via index awareness G Xiong, S Wang, J Li Advances in Neural Information Processing Systems (Neurips) 35, 17911-17925, 2022 | 14 | 2022 |
| Nose to brain delivery I Uchegbu, Z Wang, G Xiong, A Tsang, A Schatzlein Journal of Pharmacology and Experimental Therapeutics 370 (3), 593-601, 2019 | 9 | 2019 |
| Online restless multi-armed bandits with long-term fairness constraints S Wang, G Xiong, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15616 …, 2024 | 7 | 2024 |
| Optimality conditions of performance-guaranteed power minimization in MIMO networks: A distributed algorithm and its feasibility G Xiong, T Kim, DJ Love, E Perrins IEEE Transactions on Signal Processing 69, 119-135, 2020 | 6 | 2020 |
| Leveraging subspace information for low-rank matrix reconstruction W Zhang, T Kim, G Xiong, SH Leung Signal processing 163, 123-131, 2019 | 6 | 2019 |
| Deprl: Achieving linear convergence speedup in personalized decentralized learning with shared representations G Xiong, G Yan, S Wang, J Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16103 …, 2024 | 4 | 2024 |
| Decorrelation deep learning for fingerprint-based indoor localization G Xiong, T Kim, E Perrins arXiv preprint arXiv:1908.02014, 2019 | 3 | 2019 |
| On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations G Xiong, S Wang, D Jiang, J Li arXiv preprint arXiv:2411.15014, 2024 | 2* | 2024 |
| Optimizing vital sign monitoring in resource-constrained maternal care: An rl-based restless bandit approach N Boehmer, Y Zhao, G Xiong, P Rodriguez-Diaz, PDC Cibrian, J Ngonzi, ... arXiv preprint arXiv:2410.08377, 2024 | 2 | 2024 |
| Dopl: Direct online preference learning for restless bandits with preference feedback G Xiong, U Dinesha, D Mukherjee, J Li, S Shakkottai arXiv preprint arXiv:2410.05527, 2024 | 2 | 2024 |
| Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback G Xiong, J Li International Conference on Machine Learning (ICML) 2024, 2024 | 2 | 2024 |
Jian LiAssistant Professor, Stony Brook Universityایمیل تأیید شده در stonybrook.edu