| Spectral-based graph convolutional network for directed graphs Y Ma, J Hao, Y Yang, H Li, J Jin, G Chen arXiv preprint arXiv:1907.08990, 2019 | 64 | 2019 |
| A hierarchical reinforcement learning based optimization framework for large-scale dynamic pickup and delivery problems Y Ma, X Hao, J Hao, J Lu, X Liu, T Xialiang, M Yuan, Z Li, J Tang, Z Meng Advances in neural information processing systems 34, 23609-23620, 2021 | 51 | 2021 |
| A multi-graph attributed reinforcement learning based optimization algorithm for large-scale hybrid flow shop scheduling problem F Ni, J Hao, J Lu, X Tong, M Yuan, J Duan, Y Ma, K He Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 36 | 2021 |
| Combining sequence and network information to enhance protein–protein interaction prediction L Liu, X Zhu, Y Ma, H Piao, Y Yang, X Hao, Y Fu, L Wang, J Peng BMC bioinformatics 21, 1-13, 2020 | 29 | 2020 |
| Kogun: accelerating deep reinforcement learning via integrating human suboptimal knowledge P Zhang, J Hao, W Wang, H Tang, Y Ma, Y Duan, Y Zheng arXiv preprint arXiv:2002.07418, 2020 | 29 | 2020 |
| Dynamic knapsack optimization towards efficient multi-channel sequential advertising X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ... International Conference on Machine Learning, 4060-4070, 2020 | 19 | 2020 |
| Integrating sequence and network information to enhance protein-protein interaction prediction using graph convolutional networks L Liu, Y Ma, X Zhu, Y Yang, X Hao, L Wang, J Peng 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 10 | 2019 |
| Machine Learning Enabled Quickly Predicting of Detonation Properties of N‐Containing Molecules for Discovering New Energetic Materials F Hou, Y Ma, Z Hu, S Ding, H Fu, L Wang, X Zhang, G Li Advanced Theory and Simulations 4 (6), 2100057, 2021 | 9 | 2021 |
| Large scale deep reinforcement learning in war-games H Wang, H Tang, J Hao, X Hao, Y Fu, Y Ma 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 9 | 2020 |
| Pandr: Fast adaptation to new environments from offline experiences via decoupling policy and environment representations T Sang, H Tang, Y Ma, J Hao, Y Zheng, Z Meng, B Li, Z Wang arXiv preprint arXiv:2204.02877, 2022 | 6 | 2022 |
| Ensemble-based offline-to-online reinforcement learning: From pessimistic learning to optimistic exploration K Zhao, Y Ma, J Liu, Y Zheng, Z Meng arXiv preprint arXiv:2306.06871, 2023 | 5 | 2023 |
| SplitNet: a reinforcement learning based sequence splitting method for the MinMax multiple travelling salesman problem H Liang, Y Ma, Z Cao, T Liu, F Ni, Z Li, J Hao Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8720-8727, 2023 | 2 | 2023 |
| A hierarchical imitation learning-based decision framework for autonomous driving H Liang, Z Dong, Y Ma, X Hao, Y Zheng, J Hao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome A Rasouli, S Alizadeh, I Kotseruba, Y Ma, H Liang, Y Tian, Z Huang, H Liu, ... NeurIPS 2022 Competition Track, 73-84, 2023 | 1 | 2023 |
| Improving Offline-to-Online Reinforcement Learning with Q-Ensembles K Zhao, Y Ma, J Liu, HAO Jianye, Y Zheng, Z Meng ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | 1 | 2023 |
| State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning C Chen, H Tang, Y Ma, C Wang, Q Shen, D Li, J Hao arXiv preprint arXiv:2211.15065, 2022 | 1 | 2022 |
| Reining Generalization in Offline Reinforcement Learning via Representation Distinction Y Ma, H Tang, D Li, Z Meng Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making Y Ma, C Wang, C Chen, J Liu, Z Meng, Y Zheng, J Hao CAAI Artificial Intelligence Research 2, 2023 | | 2023 |
| Rethinking Decision Transformer via Hierarchical Reinforcement Learning Y Ma, C Xiao, H Liang, HAO Jianye | | 2023 |
| A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning S Lian, Y Ma, J Liu, HAO Jianye, Y Zheng, Z Meng ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | | 2023 |
Xiaotian HaoTianjin UniversityAdresse e-mail validée de tju.edu.cn
