Yaqing Hou received the Ph.D. degree in artificial intelligence from Interdisciplinary Graduate School, Nanyang Technological University, Singapore, in 2017. He was a Postdoctoral Research Fellow with Data Science and Artificial Intelligence Research Centre, Nanyang Technological University. He is currently an Associate Professor and Assistant Dean with the School of Computer Science and Technology, Dalian University of Technology, Dalian, China. His research interests include computational and artificial intelligence, multi-agent learning systems, evolutionary multi-tasking and transfer optimization. He is now an Associate Editor for the IEEE Transactions on Cognitive and Developmental Systems, editorial board of memetic computing journal.

News

  • 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

  • Harbin Institute of Technology
    B.Sc. (School of Science), 2009-2013
  • Nanyang Technological University
    Ph.D (School of Science), 2013-2017
  • Nanyang Technological University
    Research Fellow, 2017.08–2018.06
  • Dalian University of Technology
    Associate Professor (School of Computer Science and Technology), 2018-now

Research Interests

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

Honors and Awards

  • The Young Elite Scientists of the 8th China Association for Science and Technology Youth Talent Promotion Project
    2022
  • ACM Academic Rising Star (Dalian)
    2021
  • Second-Class Prize for National Teaching Achievements in Higher Education (Graduate Students)
    2023
  • Special Prize of Graduate Education Teaching Achievements(Liaoning Province)
    2022
  • First Prize of General Higher Education Teaching Achievement Award(Liaoning Province)
    2022
  • "Multi-Omics Data Integration Patient Classification Method Based on DeepDense Residual Shrinkage Network", IEEE ICTAI Best Student Paper Award
    2022
  • First Prize of General Higher Education Teaching Achievement Award(Liaoning Province)
    2021

Professional Affiliations

  • Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence
    2024.01 -- Present
  • Associate Editor, IEEE Transactions on Cognitive and Developmental Systems
    2023.10 -- Present
  • Editorial Board Member of Journal of Graphics
    2023.10 -- Present
  • Editorial Board Member of Memetic Computing Journal
    2021.04 -- Present

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.