Hou Yaqing
Hou Yaqing
Associate Professor, School of Computer Science and Technology, Dalian University of Technology
Geverifieerd e-mailadres voor dlut.edu.cn
Geciteerd door
Geciteerd door
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
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
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
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
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
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
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
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
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
Memetic evolution strategy for reinforcement learning
X Qu, YS Ong, Y Hou, X Shen
2019 IEEE Congress on Evolutionary Computation (CEC), 1922-1928, 2019
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
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
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
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
Deep covariance estimation hashing
Y Wu, Q Sun, Y Hou, J Zhang, Q Zhang, X Wei
IEEE Access 7, 113223-113234, 2019
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
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
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
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
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
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