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Hou Yaqing
Hou Yaqing
Associate Professor, School of Computer Science and Technology, Dalian University of Technology
Verified email at dlut.edu.cn
Title
Cited by
Cited by
Year
An evolutionary transfer reinforcement learning framework for multiagent systems
Y Hou, YS Ong, L Feng, JM Zurada
IEEE Transactions on Evolutionary Computation 21 (4), 601-615, 2017
522017
Attention gate resU-Net for automatic MRI brain tumor segmentation
J Zhang, Z Jiang, J Dong, Y Hou, B Liu
IEEE Access 8, 58533-58545, 2020
512020
Creating human-like non-player game characters using a memetic multi-agent system
Y Hou, L Feng, YS Ong
2016 International joint conference on neural networks (IJCNN), 177-184, 2016
152016
A preliminary study of adaptive task selection in explicit evolutionary many-tasking
Q Shang, L Zhang, L Feng, Y Hou, J Zhong, A Gupta, KC Tan, HL Liu
2019 IEEE Congress on Evolutionary Computation (CEC), 2153-2159, 2019
142019
Large-scale optimization via evolutionary multitasking assisted random embedding
Y Feng, L Feng, Y Hou, KC Tan
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
92020
Evolutionary multiagent transfer learning with model-based opponent behavior prediction
Y Hou, YS Ong, J Tang, Y Zeng
IEEE transactions on systems, man, and cybernetics: systems 51 (10), 5962-5976, 2019
92019
A memetic multi-agent demonstration learning approach with behavior prediction
Y Hou, Y Zeng, YS Ong
15th International Conference on Autonomous Agents and Multiagent Systems …, 2016
92016
Bi-space interactive cooperative coevolutionary algorithm for large scale black-box optimization
H Ge, M Zhao, Y Hou, Z Kai, L Sun, G Tan, Q Zhang, CLP Chen
Applied Soft Computing 97, 106798, 2020
72020
Memetic multi-agent optimization in high dimensions using random embeddings
Y Hou, N Jiang, H Ge, Q Zhang, X Qu, L Feng, A Gupta
2019 IEEE Congress on Evolutionary Computation (CEC), 135-141, 2019
72019
Memetic evolution strategy for reinforcement learning
X Qu, YS Ong, Y Hou, X Shen
2019 IEEE Congress on Evolutionary Computation (CEC), 1922-1928, 2019
62019
A conceptual modeling of flocking-regulated multi-agent reinforcement learning
CS Chen, Y Hou, YS Ong
2016 International Joint Conference on Neural Networks (IJCNN), 5256-5262, 2016
62016
Brain tumor segmentation based on knowledge distillation and adversarial training
Y Hou, T Li, Q Zhang, H Yu, H Ge
2021 international joint conference on neural networks (IJCNN), 1-7, 2021
32021
D2D-enabled reliable data collection for mobile crowd sensing
P Wang, Z Yu, C Lin, L Yang, Y Hou, Q Zhang
2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020
32020
A preliminary study of improving evolutionary multi-objective optimization via knowledge transfer from single-objective problems
L Huang, L Feng, H Wang, Y Hou, K Liu, C Chen
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
32020
Deep covariance estimation hashing
Y Wu, Q Sun, Y Hou, J Zhang, Q Zhang, X Wei
IEEE Access 7, 113223-113234, 2019
32019
Half a Dozen Real-World Applications of Evolutionary Multitasking and More
A Gupta, L Zhou, YS Ong, Z Chen, Y Hou
arXiv preprint arXiv:2109.13101, 2021
22021
A contextual attention network for multimodal emotion recognition in conversation
T Wang, Y Hou, D Zhou, Q Zhang
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
22021
A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation
H Ge, M Zhao, K Zhang, Y Hou
Applied Soft Computing 82, 105588, 2019
22019
Half a dozen real-world applications of evolutionary multitasking, and more
A Gupta, L Zhou, YS Ong, Z Chen, Y Hou
IEEE Computational Intelligence Magazine 17 (2), 49-66, 2022
12022
A memetic evolution system with statistical variable classification for large-scale many-objective optimization
H Ge, N Zhang, L Sun, X Wang, Y Hou
Applied Soft Computing 114, 108158, 2022
12022
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