Jianye Hao
Jianye Hao
Tianjin University
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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
752019
ABiNeS: An adaptive bilateral negotiating strategy over multiple items
J Hao, HF Leung
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2012
492012
Falsification of cyber-physical systems using deep reinforcement learning
T Akazaki, S Liu, Y Yamagata, Y Duan, J Hao
International Symposium on Formal Methods, 456-465, 2018
412018
A deep bayesian policy reuse approach against non-stationary agents
Y Zheng, Z Meng, J Hao, Z Zhang, T Yang, C Fan
Proceedings of the 32nd International Conference on Neural Information …, 2018
382018
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
362019
The dynamics of reinforcement social learning in networked cooperative multiagent systems
J Hao, D Huang, Y Cai, H Leung
Engineering Applications of Artificial Intelligence 58, 111-122, 2017
352017
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
322020
Weighted double deep multiagent reinforcement learning in stochastic cooperative environments
Y Zheng, Z Meng, J Hao, Z Zhang
Pacific Rim international conference on artificial intelligence, 421-429, 2018
322018
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
272020
An efficient and robust negotiating strategy in bilateral negotiations over multiple items
J Hao, S Song, H Leung, Z Ming
Engineering Applications of Artificial Intelligence 34, 45-57, 2014
272014
The dynamics of reinforcement social learning in cooperative multiagent systems
J Hao, H Leung
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
272013
An adaptive Markov strategy for defending smart grid false data injection from malicious attackers
J Hao, E Kang, J Sun, Z Wang, Z Meng, X Li, Z Ming
IEEE Transactions on Smart Grid 9 (4), 2398-2408, 2016
252016
Attention-based recurrent neural network for influenza epidemic prediction
X Zhu, B Fu, Y Yang, Y Ma, J Hao, S Chen, S Liu, T Li, S Liu, W Guo, ...
BMC bioinformatics 20 (18), 1-10, 2019
242019
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
232018
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid.
Y Yang, J Hao, M Sun, Z Wang, C Fan, G Strbac
IJCAI 18, 569-575, 2018
222018
Towards cooperation in sequential prisoner's dilemmas: a deep multiagent reinforcement learning approach
W Wang, J Hao, Y Wang, M Taylor
arXiv preprint arXiv:1803.00162, 2018
212018
Multiagent reinforcement social learning toward coordination in cooperative multiagent systems
J Hao, HF Leung, Z Ming
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 9 (4), 1-20, 2014
212014
Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
arXiv preprint arXiv:2010.09776, 2020
202020
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
192021
Deep multi-agent reinforcement learning with discrete-continuous hybrid action spaces
H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan
arXiv preprint arXiv:1903.04959, 2019
192019
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