| Deepthermal: Combustion optimization for thermal power generating units using offline reinforcement learning X Zhan, H Xu, Y Zhang, Y Huo, X Zhu, H Yin, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4680-4688, 2022 | 57 | 2022 |
| Constraints penalized q-learning for safe offline reinforcement learning H Xu, X Zhan, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8753-8760, 2022 | 51 | 2022 |
| Model-based offline planning with trajectory pruning X Zhan, X Zhu, H Xu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 25 | 2022 |
| Three-layer graph framework with the sumD feature for alpha matting C Li, P Wang, X Zhu, H Pi Computer Vision and Image Understanding 162, 34-45, 2017 | 25 | 2017 |
| When data geometry meets deep function: Generalizing offline reinforcement learning J Li, X Zhan, H Xu, X Zhu, J Liu, YQ Zhang The Eleventh International Conference on Learning Representations, 2023 | 14 | 2023 |
| Distance-sensitive offline reinforcement learning J Li, X Zhan, H Xu, X Zhu, J Liu, YQ Zhang Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 10 | 2022 |
| ECoalVis: visual analysis of control strategies in coal-fired power plants S Liu, D Weng, Y Tian, Z Deng, H Xu, X Zhu, H Yin, X Zhan, Y Wu IEEE transactions on visualization and computer graphics 29 (1), 1091-1101, 2022 | 7 | 2022 |
| Adaptive propagation matting based on transparency of image X Zhu, P Wang, Z Huang Multimedia Tools and Applications 77, 19089-19112, 2018 | 6 | 2018 |
| H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps H Niu, T Ji, B Liu, H Zhao, X Zhu, J Zheng, P Huang, G Zhou, J Hu, X Zhan arXiv preprint arXiv:2309.12716, 2023 | | 2023 |
