| Action2Activity: recognizing complex activities from sensor data Y Liu, L Nie, L Han, L Zhang, DS Rosenblum arXiv preprint arXiv:1611.01872, 2016 | 392 | 2016 |
| Entropy production analysis of hysteresis characteristic of a pump-turbine model D Li, H Wang, Y Qin, L Han, X Wei, D Qin Energy Conversion and Management 149, 175-191, 2017 | 363 | 2017 |
| Occuseg: Occupancy-aware 3d instance segmentation L Han, T Zheng, L Xu, L Fang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 332 | 2020 |
| Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ... arXiv preprint arXiv:1810.06394, 2018 | 305 | 2018 |
| Gated fully fusion for semantic segmentation X Li, H Zhao, L Han, Y Tong, S Tan, K Yang Proceedings of the AAAI conference on artificial intelligence 34 (07), 11418 …, 2020 | 274 | 2020 |
| Liir: Learning individual intrinsic reward in multi-agent reinforcement learning Y Du, L Han, M Fang, J Liu, T Dai, D Tao Advances in neural information processing systems 32, 2019 | 253 | 2019 |
| Curriculum-guided hindsight experience replay M Fang, T Zhou, Y Du, L Han, Z Zhang Advances in neural information processing systems 32, 2019 | 230 | 2019 |
| Exponentially Weighted Imitation Learning for Batched Historical Data Q Wang, J Xiong, L Han, P Sun, H Liu, T Zhang The Thirty-second Annual Conference on Neural Information Processing Systems …, 2018 | 150 | 2018 |
| Tstarbot-x: An open-sourced and comprehensive study for efficient league training in starcraft ii full game L Han, J Xiong, P Sun, X Sun, M Fang, Q Guo, Q Chen, T Shi, H Yu, X Wu, ... arXiv preprint arXiv:2011.13729, 2020 | 133* | 2020 |
| Rorl: Robust offline reinforcement learning via conservative smoothing R Yang, C Bai, X Ma, Z Wang, C Zhang, L Han Advances in neural information processing systems 35, 23851-23866, 2022 | 129 | 2022 |
| Toward self-improvement of llms via imagination, searching, and criticizing Y Tian, B Peng, L Song, L Jin, D Yu, L Han, H Mi, D Yu Advances in Neural Information Processing Systems 37, 52723-52748, 2024 | 118 | 2024 |
| Rethinking goal-conditioned supervised learning and its connection to offline rl R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang arXiv preprint arXiv:2202.04478, 2022 | 109 | 2022 |
| Unstructuredfusion: realtime 4d geometry and texture reconstruction using commercial rgbd cameras L Xu, Z Su, L Han, T Yu, Y Liu, L Fang IEEE transactions on pattern analysis and machine intelligence 42 (10), 2508 …, 2019 | 86 | 2019 |
| Live semantic 3d perception for immersive augmented reality L Han, T Zheng, Y Zhu, L Xu, L Fang IEEE transactions on visualization and computer graphics 26 (5), 2012-2022, 2020 | 84 | 2020 |
| Learning multi-level task groups in multi-task learning L Han, Y Zhang Proceedings of the aaai conference on artificial intelligence 29 (1), 2015 | 83 | 2015 |
| Self-playing adversarial language game enhances llm reasoning P Cheng, Y Dai, T Hu, H Xu, Z Zhang, L Han, N Du, X Li Advances in Neural Information Processing Systems 37, 126515-126543, 2024 | 80 | 2024 |
| Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models L Han, Q Zhu, J Sheng, C Zhang, T Li, Y Zhang, H Zhang, Y Liu, C Zhou, ... Nature Machine Intelligence 6 (7), 787-798, 2024 | 80 | 2024 |
| Grid-wise control for multi-agent reinforcement learning in video game ai L Han, P Sun, Y Du, J Xiong, Q Wang, X Sun, H Liu, T Zhang International conference on machine learning, 2576-2585, 2019 | 73 | 2019 |
| Principled exploration via optimistic bootstrapping and backward induction C Bai, L Wang, L Han, J Hao, A Garg, P Liu, Z Wang International Conference on Machine Learning, 577-587, 2021 | 60 | 2021 |
| Multi-Stage Multi-Task Learning with Reduced Rank L Han, Y Zhang Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 60 | 2016 |
Tong ZhangUIUCVerified email at tongzhang-ml.org
