| Offline rl with no ood actions: In-sample learning via implicit value regularization H Xu, L Jiang, J Li, Z Yang, Z Wang, VWK Chan, X Zhan International Conference on Learning Representations (ICLR), 𝐍𝐨𝐭𝐚𝐛𝐥𝐞-𝐭𝐨𝐩-𝟓%, 2023 | 51 | 2023 |
| A policy-guided imitation approach for offline reinforcement learning H Xu*, L Jiang*, J Li, X Zhan Advances in Neural Information Processing Systems (NeurIPS) 𝐎𝐫𝐚𝐥, 2022 | 36 | 2022 |
| Time labeled visibility graph for privacy-preserved physiological time series classification Y Xiu, X Ren, T Zhang, Y Chen, L Jiang, D Li, X Wang, L Zhao, WK Chan 2022 7th International Conference on Cloud Computing and Big Data Analytics …, 2022 | 10 | 2022 |
| Hummer: Towards limited competitive preference dataset L Jiang, Y Wu, J Xiong, J Ruan, Y Ding, Q Guo, Z Wen, J Zhou, X Deng arXiv preprint arXiv:2405.11647, 2024 | 4 | 2024 |
| Offline reinforcement learning with imbalanced datasets L Jiang, S Chen, J Qiu, H Xu, WK Chan, Z Ding arXiv preprint arXiv:2307.02752, 2023 | 3 | 2023 |
| Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL P Cheng, X Zhan, Z Wu, W Zhang, S Song, H Wang, Y Lin, L Jiang Advances in Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
| Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities H Zhou, C Hu, Y Yuan, Y Cui, Y Jin, C Chen, H Wu, D Yuan, L Jiang, ... arXiv preprint arXiv:2405.10825, 2024 | 2 | 2024 |
| Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning L Jiang*, X Feng*, X Yu, H Xu, X Sun, J Wang, X Zhan, WKV Chan IEEE Transactions on Games, 2022 | 2 | 2022 |
| A deep learning framework for traffic data imputation considering spatiotemporal dependencies L Jiang, T Zhang, Q Zuo, C Tian, GP Chan, WKV Chan 2022 IEEE 7th International Conference on Intelligent Transportation …, 2022 | 1 | 2022 |
| An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming L Jiang, X Wang, A Yang, X Wang, X Jin, W Wang, X Ye, Y Ouyang, ... IEEE International Conference on Communications (ICC), 2023 | | 2023 |
| MoReDrop: Dropout without Dropping L Jiang, D Li, Y Ding, X Liu, VWK Chan 2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 0 | | |
| MoReDrop: Dropout Without Dropping D Li, L Jiang, Y Ding, X Liu, VWK Chan | | |
| Plasticity-Driven Sparsity Training for Deep Reinforcement Learning L Jiang, Y Ding, X Liu, X Zhan | | |
Xianyuan ZhanAssistant Professor, Institute for AI Industry Research (AIR), Tsinghua University在 air.tsinghua.edu.cn 的电子邮件经过验证
