Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse L Zhao, T Dai, Z Qiao, P Sun, J Hao, Y Yang Process Safety and Environmental Protection 133, 169-182, 2020 | 332 | 2020 |
Causalvae: Disentangled representation learning via neural structural causal models M Yang, F Liu, Z Chen, X Shen, J Hao, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 247 | 2021 |
Multi-agent game abstraction via graph attention neural network Y Liu, W Wang, Y Hu, J Hao, X Chen, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7211-7218, 2020 | 244 | 2020 |
Qatten: A general framework for cooperative multiagent reinforcement learning Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang arXiv preprint arXiv:2002.03939, 2020 | 207 | 2020 |
Smarts: An open-source scalable multi-agent rl training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... Conference on robot learning, 264-285, 2021 | 193 | 2021 |
Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning Y Zheng, X Xie, T Su, L Ma, J Hao, Z Meng, Y Liu, R Shen, Y Chen, C Fan 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 165 | 2019 |
Learning to utilize shaping rewards: A new approach of reward shaping Y Hu, W Wang, H Jia, Y Wang, Y Chen, J Hao, F Wu, C Fan Advances in Neural Information Processing Systems 33, 15931-15941, 2020 | 164 | 2020 |
A learning-based framework for miRNA-disease association identification using neural networks J Peng, W Hui, Q Li, B Chen, J Hao, Q Jiang, X Shang, Z Wei Bioinformatics 35 (21), 4364-4371, 2019 | 159 | 2019 |
An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction J Peng, Y Wang, J Guan, J Li, R Han, J Hao, Z Wei, X Shang Briefings in bioinformatics 22 (5), bbaa430, 2021 | 122 | 2021 |
Exploration in deep reinforcement learning: a comprehensive survey T Yang, H Tang, C Bai, J Liu, J Hao, Z Meng, P Liu, Z Wang arXiv e-prints, arXiv: 2109.06668, 2021 | 121 | 2021 |
From few to more: Large-scale dynamic multiagent curriculum learning W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7293-7300, 2020 | 113 | 2020 |
A deep bayesian policy reuse approach against non-stationary agents Y Zheng, Z Meng, J Hao, Z Zhang, T Yang, C Fan Advances in neural information processing systems 31, 2018 | 87 | 2018 |
Exploration in deep reinforcement learning: From single-agent to multiagent domain J Hao, T Yang, H Tang, C Bai, J Liu, Z Meng, P Liu, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 84 | 2023 |
Integrating multi-network topology for gene function prediction using deep neural networks J Peng, H Xue, Z Wei, I Tuncali, J Hao, X Shang Briefings in bioinformatics 22 (2), 2096-2105, 2021 | 80 | 2021 |
Automatic web testing using curiosity-driven reinforcement learning Y Zheng, Y Liu, X Xie, Y Liu, L Ma, J Hao, Y Liu 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 78 | 2021 |
Hierarchical deep multiagent reinforcement learning with temporal abstraction H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, Z Meng, ... arXiv preprint arXiv:1809.09332, 2018 | 77 | 2018 |
Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation Y Chen, M Yang, Y Zhang, M Zhao, Z Meng, J Hao, I King Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 76 | 2022 |
SC2disease: a manually curated database of single-cell transcriptome for human diseases T Zhao, S Lyu, G Lu, L Juan, X Zeng, Z Wei, J Hao, J Peng Nucleic Acids Research 49 (D1), D1413-D1419, 2021 | 75 | 2021 |
Falsification of cyber-physical systems using deep reinforcement learning T Akazaki, S Liu, Y Yamagata, Y Duan, J Hao Formal Methods: 22nd International Symposium, FM 2018, Held as Part of the …, 2018 | 74 | 2018 |
Neighborhood cognition consistent multi-agent reinforcement learning H Mao, W Liu, J Hao, J Luo, D Li, Z Zhang, J Wang, Z Xiao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7219-7226, 2020 | 72 | 2020 |