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Jianye Hao
Jianye Hao
在 tju.edu.cn 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
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
3322020
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
2472021
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
2442020
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
2072020
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
1932021
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
1652019
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
1642020
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
1592019
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
1222021
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
1212021
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
1132020
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
872018
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
842023
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
802021
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
782021
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
772018
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
762022
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
752021
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
742018
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
722020
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