| 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 | 49 | 2019 |
| 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 | 19 | 2020 |
| 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 (16), 1-13, 2020 | 18 | 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 | 13 | 2020 |
| 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 | 11 | 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 | 9 | 2021 |
| 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 | 8 | 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 | 4 | 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 | 4 | 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 | 3 | 2022 |
| Learning to accelerate heuristic searching for large-scale maximum weighted b-matching problems in online advertising X Hao, J Jin, J Hao, J Li, W Wang, Y Ma, Z Zheng, H Li, J Xu, K Gai arXiv preprint arXiv:2005.04355, 2020 | | 2020 |
Xiaotian HaoTianjin UniversityVerified email at tju.edu.cn
