News

• IEEE Computational Intelligence Society: Emergent Technologies Task Force on Memetic Computing[click to check]
• 2024 IEEE Conference on Artifical Intelligence workshop on frontiers of Evolutionary Computation techniques[click to check]
• Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization[click to check]
• WCCI-CEC-2024 Special Session on "Evolutionary Multitasking"[click to submit]
• CEC-2024 Competition on “Evolutionary Multi-task Optimization”[click to submit]
• NEW Book！《Optinformatics in Evolutionary Learning and Optimization》 Springer Nature.
  
• Multifactorial Evolution: Towards Evolutionary Multitasking, Benchmark Problems, Publications and Source Codes Downloads.

Experiences

Research Interests

• Computational and Artificial intelligence, Multi-Agent Learning Systems, Evolutionary Multitasking, Transfer Optimization

Honors and Awards

Invited Reviewer

• IEEE Transactions on Evolutionary Computation (TEVC)
• IEEE Transactions on Cybernetics (TCYB)
• IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Computational Intelligence Magazine (CIM)
• Chinese Journal of Computers
• IEEE/CAA Journal of Automatica Sinica
• IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC)
• IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
• Journal of Computer Science
• Journal of Automation
• Memetic Computing, etc

Selected Publications

• Zhixiao Sun, Huahua Wu, Yandong Shi, Xiangchao Yu, Yifan Gao, Wenbin Pei, Zhen Yang, Haiyin Piao, Yaqing Hou*. Multi-agent air combat with two-stage graph-attention communication. Neural Computing and Applications, 2023.(IF: 6.0)
• Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang. Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023.(IF: 5.3)
• Xia Wang, Hongwei Ge, Naiqiang Zhang, Yaqing Hou, Liang Sun. A universal large-scale many-objective optimization framework based on cultural learning. Applied Soft Computing, 2023.(IF: 8.7)
• Haiyin Piao*, Yue Han, Shaoming He, Chao Yu, Songyuan Fan, Yaqing Hou*, Chengchao Bai, and Li Mo. Spatio-Temporal Relationship Cognitive Learning for Multi-Robot Air Combat. IEEE Transactions on Cognitive and Developmental Systems, 2023.(IF: 5.0)
• Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang*, Mengjie Zhang. Towards Realistic 3D Human Motion Prediction with A Spatio-temporal Cross-transformer Approach. IEEE Transactions on Circuits and Systems for Video Technology, 2023.(IF: 8.4)
• Yaqing Hou*, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang. Hancock.A Multi-agent Cooperative Learning System with Evolution of Social Roles. IEEE Transactions on Evolutionary Computation, 2023.(IF: 14.3)
• Yuxuan Liu, Hongwei Ge*, Zhen Wang, Yaqing Hou, and Mingde Zhao. Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification. IEEE Transactions on Multimedia, 2023.(IF: 7.3)
• Mingyang Sun, Mengchen Zhao, Yaqing Hou*, Minglei, Huang X. Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.(CVPR)
• Mingyang Sun, Yaqing Hou*, Jie Kang, Haiyin Piao, Yifeng Zeng, Hongwei Ge, and Qiang Zhang. Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023.
• Yuxuan Liu, Hongwei Ge*, Zhen Wang, Yaqing Hou, and Mingde Zhao. Clothes-Changing Person Re-identification via Universal Framework with Association and Forgetting Learning. IEEE Transactions on Multimedia, 2023.(IF: 7.3)
• Yaqing Hou*, Wenkai Zhang, Qian Liu, Hongwei Ge, Jun Meng, Qiang Zhang*, Xiaopeng Wei. Adaptive Kernel Selection Network with Attention Constraint for Surgical Instrument Classification. Neural Computing and Applications, 2022.(IF: 6.0)
• Abhishek Gupta, Lei Zhou*, Yew-Soon Ong, Zefeng Chen, Yaqing Hou. Graph Learning for Fake Review Detection. Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Computational Intelligence Magazine, 2022.(IF: 9.0)
• Yaqing Hou, Mingyang Sun, Wenxuan Zhu, Yifeng Zeng, Haiyin Piao*, Xuefeng Chen, Qiang Zhang*. Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.(IF: 5.3)
• Liang Feng, Qingxia Shang, Yaqing Hou*, Kay Chen Tan, Yew-Soon Ong. Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Transactions on Artificial Intelligence, 2022.
• Jin Yu, Haiyin Piao*, Yaqing Hou, Li Mo, Xin Yang, Deyun Zhou. DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning. Proceedings of the International Conference on Automated Planning and Scheduling, 2022.
• Hua Yu, Xuanzhe Fan, Yaqing Hou*, Yi Liu, Cai Kang, Dongsheng Zhou, Qiang Zhang*. Towards Efficient 3d Human Motion Prediction Using Deformable Transformer-Based Adversarial Network. International Conference on Robotics and Automation, 2022.(ICRA)
• Yuxuan Liu, Hongwei Ge*, Liang Sun, Yaqing Hou.Complementary Attention-Driven Contrastive Learning with Hard-Sample Exploring for Unsupervised Domain Adaptive Person Re-Id. IEEE Transactions on Circuits and Systems for Video Technology, 2022.(IF: 8.4)
• Yaqing Hou*, Wenkai Zhang, Dongsheng Zhou, Hongwei Ge, Qiang Zhang*, Xiaopeng Wei. Multi-Scale Attention Constraint Network for Fine-Grained Visual Classification. IEEE International Conference on Multimedia and Expo, 2021.(ICME)
• Yaqing Hou*, Hua Yu, Dongsheng Zhou, Pengfei Wang, Hongwei Ge, Jianxin Zhang, Qiang Zhang*. Local-Aware Spatio-Temporal Attention Network With Multi-Stage Feature Fusion for Human Action Recognition. Neural Computing and Applications, 2021.(IF: 5.1)
• Hongwei Ge*, Dongwan Gao, Liang Sun*, Yaqing Hou, Chao Yu, Yuxin Wang, Guozhen Tan. Multi-Agent Transfer Reinforcement Learning with Multi-View Encoder for Adaptive Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems, 2021.(IF: 9.5)
• Yaqing Hou*, Xiangchao Yu, Yifeng Zeng, Ziqi Wei, Haijun Zhang, Hongwei Ge*, Qiang Zhang*. Advances in Memetic Automaton: Toward Human-Like Autonomous Agents in Complex Multi-Agent Learning Problems. IEEE Computational Intelligence Magazine, 2021.(IF: 9.8)
• Yaqing Hou*, Yew-Soon Ong, Jing Tang, Yifeng Zeng. Evolutionary Multiagent Transfer Learning with Model-Based Opponent Behavior Prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021.(IF: 11.4)
• Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada. An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Transactions on Evolutionary Computation, 2017.(IF: 8.1)
• Yaqing Hou, Yifeng Zeng, Yew-Soon Ong. A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. 15th International Conference on Autonomous Agents and Multiagent Systems, 2016.