A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. - Yaqing Hou; Yifeng Zeng; Yew-Soon Ong (AAMAS, 2016)

A conceptual modeling of flocking-regulated multi-agent reinforcement learning. - C. S. Chen; Yaqing Hou; Yew-Soon Ong (IJCNN, 2016)

Creating human-like non-player game characters using a Memetic Multi-Agent System. - Yaqing Hou; Liang Feng 001; Yew-Soon Ong (IJCNN, 2016)

An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. - Yaqing Hou; Yew-Soon Ong; Liang Feng 001; Jacek M. Zurada (IEEE Trans. Evol. Comput., 2017)

A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. - Wei Zhou 001; Liang Feng 001; Siwei Jiang; Shu Zhang 003; Yaqing Hou; Yew-Soon Ong; Zexuan Zhu; Kai Liu 001 (CEC, 2018)

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. - Yaqing Hou; N. Jiang; Hongwei Ge; Qiang Zhang 008; Xinghua Qu; L. Feng; Abhishek Gupta 001 (CEC, 2019)

Memetic Evolution Strategy for Reinforcement Learning. - Xinghua Qu; Yew-Soon Ong; Yaqing Hou; Xiaobo Shen 001 (CEC, 2019)

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. - Qingxia Shang; L. Zhang; Liang Feng 001; Yaqing Hou; J. Zhong; Abhishek Gupta 001; Kay Chen Tan; H.-L. Liu (CEC, 2019)

Deep Covariance Estimation Hashing. - Yue Wu; Qiule Sun; Yaqing Hou; Jianxin Zhang 001; Qiang Zhang 008; Xiaopeng Wei (IEEE Access, 2019)

A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation. - Hongwei Ge; Mingde Zhao 002; Kai Zhang 050; Yaqing Hou (Appl. Soft Comput., 2019)

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation. - Mingde Zhao 002; Hongwei Ge; Kai Zhang 050; Yaqing Hou (CoRR, 2019)

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. - Yinglan Feng; Liang Feng 001; Yaqing Hou; Kay Chen Tan (CEC, 2020)

Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. - Mingyang Sun; Yaqing Hou; Qiang Zhang 008; Hong-Wei Ge; Xin Yang 011; Feng Liang; Abhishek Gupta 001; Xianneng Li (CEC, 2020)

D2D-Enabled Reliable Data Collection for Mobile Crowd Sensing. - Pengfei Wang 013; Zhen Yu; Chi Lin 001; Leyou Yang; Yaqing Hou; Qiang Zhang 008 (ICPADS, 2020)

Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. - Hongwei Ge; Kai Zhang 050; Yaqing Hou; Chao Yu 004; Mingde Zhao 002; Zhen Wang 004; Liang Sun 003 (IJCNN, 2020)

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. - Wenxuan Zhu; Yaqing Hou; Qiang Zhang 008; Hongwei Ge; Xin Yang 011; Liang Feng 001; Xinghua Qu (IJCNN, 2020)

A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems. - Lingyu Huang; Liang Feng 001; Handing Wang; Yaqing Hou; Kai Liu 001; Chao Chen 004 (SMC, 2020)

Attention Gate ResU-Net for Automatic MRI Brain Tumor Segmentation. - Jianxin Zhang 001; Zongkang Jiang; Jing Dong 009; Yaqing Hou; Bin Liu 040 (IEEE Access, 2020)

Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization. - Hongwei Ge; Mingde Zhao 002; Yaqing Hou; Kai Zhang 050; Liang Sun 003; Guozhen Tan; Qiang Zhang 008; C. L. Philip Chen (Appl. Soft Comput., 2020)

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic. - Gengzhi Zhang; Liang Feng 001; Yaqing Hou (ACML, 2021)

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. - Yinglan Feng; Liang Feng 001; Yaqing Hou; Kay Chen Tan; Sam Kwong (CEC, 2021)

A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking. - Yumeng Cao; Yaqing Hou; Liang Feng 001; Hongwei Ge; Qiang Zhang 008; Xiaopeng Wei (EMO, 2021)

Multi-Scale Attention Constraint Network for Fine-Grained Visual Classification. - Yaqing Hou; Wenkai Zhang; Dongsheng Zhou; Hongwei Ge; Qiang Zhang 008; Xiaopeng Wei (ICME, 2021)

Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network. - Nan Jiang; Yaqing Hou; Dongsheng Zhou; Pengfei Wang 013; Jianxin Zhang 001; Qiang Zhang 008 (ICPRAM, 2021)

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training. - Yaqing Hou; Tianbo Li; Qiang Zhang 008; Hua Yu 006; Hongwei Ge (IJCNN, 2021)

A Contextual Attention Network for Multimodal Emotion Recognition in Conversation. - Tana Wang; Yaqing Hou; Dongsheng Zhou; Qiang Zhang 008 (IJCNN, 2021)

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation. - Kaige Zhang; Yaqing Hou; Hua Yu 006; Wenxuan Zhu; Liang Feng 001; Qiang Zhang 008 (NCAA, 2021)

Advances in Memetic Automaton: Toward Human-Like Autonomous Agents in Complex Multi-Agent Learning Problems. - Yaqing Hou; Xiangchao Yu; Yifeng Zeng; Ziqi Wei 001; Haijun Zhang; Hongwei Ge; Qiang Zhang 008 (IEEE Comput. Intell. Mag., 2021)

Multi-Space Evolutionary Search for Large-Scale Optimization. - Liang Feng 001; Qingxia Shang; Yaqing Hou; Kay Chen Tan; Yew-Soon Ong (CoRR, 2021)

Local-aware spatio-temporal attention network with multi-stage feature fusion for human action recognition. - Yaqing Hou; Hua Yu 006; Dongsheng Zhou; Pengfei Wang 013; Hongwei Ge; Jianxin Zhang 001; Qiang Zhang 008 (Neural Comput. Appl., 2021)

Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction. - Yaqing Hou; Yew-Soon Ong; Jing Tang 001; Yifeng Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2021)

DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning. - Jin Yu; Haiyin Piao; Yaqing Hou; Li Mo; Xin Yang 011; Deyun Zhou (ICAPS, 2022)

A Preliminary Study of Multi-task MAP-Elites with Knowledge Transfer for Robotic Arm Design. - Peng Liu; Zheng Guo; Hua Yu 006; Han Linghu; Yijing Li; Yaqing Hou; Hongwei Ge; Qiang Zhang 008 (CEC, 2022)

Towards Efficient 3D Human Motion Prediction using Deformable Transformer-based Adversarial Network. - Hua Yu 006; Xuanzhe Fan; Yaqing Hou; Yi Liu; Cai Kang; Dongsheng Zhou; Qiang Zhang 008 (ICRA, 2022)

Multi-Omics Data Integration Patient Classification Method Based on Deep Dense Residual Shrinkage Network. - Wenyao Li; Kai Lin; Yaqing Hou; Qiang Zhang 008 (ICTAI, 2022)

Budgeted Sequence Submodular Maximization. - Xuefeng Chen 001; Liang Feng 001; Xin Cao 001; Yifeng Zeng; Yaqing Hou (IJCAI, 2022)

Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat. - Yue Han; Haiyin Piao; Yaqing Hou; Yang Sun; Zhixiao Sun; Deyun Zhou; Shengqi Yang; Xuanqi Peng; Songyuan Fan (IJCNN, 2022)

A memetic evolution system with statistical variable classification for large-scale many-objective optimization. - Hongwei Ge; Naiqiang Zhang; Liang Sun 003; Xia Wang; Yaqing Hou (Appl. Soft Comput., 2022)

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. - Abhishek Gupta 001; Lei Zhou 020; Yew-Soon Ong; Zefeng Chen; Yaqing Hou (IEEE Comput. Intell. Mag., 2022)

ICMiF: Interactive cascade microformers for cross-domain person re-identification. - Jiajian Huang; Hongwei Ge; Liang Sun 003; Yaqing Hou; Xia Wang (Inf. Sci., 2022)

Guest editorial. - Yaqing Hou; Yuan Yuan 004; Zexuan Zhu (Memetic Comput., 2022)

Adaptive kernel selection network with attention constraint for surgical instrument classification. - Yaqing Hou; Wenkai Zhang; Qian Liu 001; Hongwei Ge; Jun Meng; Qiang Zhang 008; Xiaopeng Wei (Neural Comput. Appl., 2022)

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization. - Qingxia Shang; Yuxiao Huang; Junwei Dong; Yaqing Hou; Yu Wang 108; Min Li; Liang Feng 001 (Neural Comput. Appl., 2022)

Perception-oriented Single Image Super-Resolution Network with Receptive Field Block. - Wei Zhang; Yaqing Hou; Wanshu Fan; Xin Yang 011; Dongsheng Zhou; Qiang Zhang 008; Xiaopeng Wei (Neural Comput. Appl., 2022)

Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems. - Yaqing Hou; Mingyang Sun; Wenxuan Zhu; Yifeng Zeng; Haiyin Piao; Xuefeng Chen 001; Qiang Zhang 008 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control. - Hongwei Ge; Dongwan Gao; Liang Sun 003; Yaqing Hou; Chao Yu 004; Yuxin Wang 001; Guozhen Tan (IEEE Trans. Intell. Transp. Syst., 2022)

Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization. - Mingyang Sun; Yaqing Hou; Jie Kang; Haiyin Piao; Yifeng Zeng; Hongwei Ge; Qiang Zhang 008 (AAMAS, 2023)

A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. - Zheng Guo; Zhaoping Yu; Wenbin Pei; Chuan Wang; Yaqing Hou; Chenchen Zhang; Zexuan Zhu; Xianneng Li (CEC, 2023)

Surrogate-Assisted Morphology Optimization by Genetic Algorithms. - Jinlin Jiang; Yongchao Chen; Wenbin Pei; Junxiang Zhang; Yaqing Hou; Hongwei Ge; Liang Feng 001 (CEC, 2023)

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. - Mingyang Sun; Mengchen Zhao; Yaqing Hou; Minglei Li 001; Huang Xu 003; Songcen Xu; Jianye Hao (CVPR, 2023)

Complementary Attention-Driven Contrastive Learning With Hard-Sample Exploring for Unsupervised Domain Adaptive Person Re-ID. - Yuxuan Liu 015; Hongwei Ge; Liang Sun 003; Yaqing Hou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. - Liang Feng 001; Qingxia Shang; Yaqing Hou; Kay Chen Tan; Yew-Soon Ong (IEEE Trans. Artif. Intell., 2023)

Camera-aware progressive learning for unsupervised person re-identification. - Yuxuan Liu 015; Hongwei Ge; Liang Sun 003; Yaqing Hou (Neural Comput. Appl., 2023)

Attention-guided spatial-temporal graph relation network for video-based person re-identification. - Yu Qi; Hongwei Ge; Wenbin Pei; Yuxuan Liu 015; Yaqing Hou; Liang Sun 003 (Neural Comput. Appl., 2023)

BRGR: Multi-agent cooperative reinforcement learning with bidirectional real-time gain representation. - Xin He; Hongwei Ge; Liang Sun 003; Qifeng Li; Yaqing Hou (Appl. Intell., 2023)

A universal large-scale many-objective optimization framework based on cultural learning. - Xia Wang; Hongwei Ge; Naiqiang Zhang; Yaqing Hou; Liang Sun 003 (Appl. Soft Comput., 2023)

Multi-agent air combat with two-stage graph-attention communication. - Zhixiao Sun; Huahua Wu; Yandong Shi; Xiangchao Yu; Yifan Gao; Wenbin Pei; Zhen Yang 011; Haiyin Piao; Yaqing Hou (Neural Comput. Appl., 2023)

Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach. - Hua Yu 006; Xuanzhe Fan; Yaqing Hou; Wenbin Pei; Hongwei Ge; Xin Yang 011; Dongsheng Zhou; Qiang Zhang 008; Mengjie Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation. - Dongwei Liu; Ning Sheng; Yutong Han; Yaqing Hou; Bin Liu 040; Jianxin Zhang 001; Qiang Zhang 008 (Neural Comput. Appl., 2023)

Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat. - Haiyin Piao; Yue Han; Shaoming He; Chao Yu 004; Songyuan Fan; Yaqing Hou; Chengchao Bai; Li Mo (IEEE Trans. Cogn. Dev. Syst., 2023)

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. - Yaoxin Wu; Mingfeng Fan; Zhiguang Cao; Ruobin Gao; Yaqing Hou; Guillaume Sartoretti (AAMAS, 2024)

Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks. - Wenqiang Ma; Yaqing Hou; Hua Yu 006; Xiangrong Tong; Zexuan Zhu; Qiang Zhang 008 (CEC, 2024)

Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms. - Haiwei Wang; Yongchao Chen; Chenchen Zhang; Yaqing Hou; Xiangrong Tong; Qiang Zhang 008 (CEC, 2024)

SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward. - Xin He; Hongwei Ge; Yaqing Hou; Jincheng Yu (IJCAI, 2024)

Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning. - Yang Li; Sihan Zhou; Yaqing Hou; Liran Zhou; Hongwei Ge; Liang Feng 001; Siyu Wang (IJCNN, 2024)

Safety-guided Deep Reinforcement Learning for Path Planning of Autonomous Mobile Robots. - Zhuoru Yu; Yaqing Hou; Qiang Zhang 008; Qian Liu 001 (IJCNN, 2024)

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. - Hua Yu 006; Weiming Liu 005; Jiapeng Bai; Xu Gui 001; Yaqing Hou; Yew-Soon Ong; Qiang Zhang 008 (ACM Multimedia, 2024)

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. - Yaqing Hou; Mingyang Sun; Abhishek Gupta 001; Yaochu Jin; Haiyin Piao; Hongwei Ge; Qiang Zhang 008 (CoRR, 2024)

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. - Yaqing Hou; Wenqiang Ma; Abhishek Gupta 001; Kavitesh Kumar Bali; Hongwei Ge; Qiang Zhang 008; Carlos A. Coello Coello; Yew-Soon Ong (CoRR, 2024)

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction. - Hua Yu 006; Yaqing Hou; Wenbin Pei; Qiang Zhang 008 (CoRR, 2024)

Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance. - Guozhi Tang; Hongwei Ge; Enxuan Gu; Yaqing Hou; Mingde Zhao 002 (Knowl. Based Syst., 2024)

A Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution. - Guozhi Tang; Hongwei Ge; Liang Sun 003; Yaqing Hou; Mingde Zhao 002 (IEEE Trans. Image Process., 2024)

Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification. - Yuxuan Liu 015; Hongwei Ge; Zhen Wang 004; Yaqing Hou; Mingde Zhao 002 (IEEE Trans. Multim., 2024)

Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting Learning. - Yuxuan Liu 015; Hongwei Ge; Zhen Wang 004; Yaqing Hou; Mingde Zhao 002 (IEEE Trans. Multim., 2024)

Stochastic online decisioning hyper-heuristic for high dimensional optimization. - Wang Xia; Hong-Wei Ge; Mingde Zhao 002; Yaqing Hou; Mingyang Sun (Appl. Intell., 2024)

MSTP-Net: Multiscale Spatio-Temporal Parallel Networks for Human Motion Prediction. - Lujing Chen; Rui Liu 015; Wei Zhang; Yaqing Hou; Qiang Zhang 008; Dongsheng Zhou (IEEE Trans. Consumer Electron., 2024)

Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs. - Xuefeng Chen 001; Liang Feng 001; Xin Cao 001; Yifeng Zeng; Yaqing Hou; Zhi Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Multiagent Cooperative Learning System With Evolution of Social Roles. - Yaqing Hou; Mingyang Sun; Yifeng Zeng; Yew-Soon Ong; Yaochu Jin; Hongwei Ge; Qiang Zhang 008 (IEEE Trans. Evol. Comput., 2024)

Temporal prediction model with context-aware data augmentation for robust visual reinforcement learning. - Xinkai Yue; Hongwei Ge; Xin He; Yaqing Hou (Neural Comput. Appl., 2024)

Multilevel Joint Association Networks for Diverse Human Motion Prediction. - Linwei Chen; Wanshu Fan; Xu Gui 001; Yaqing Hou; Xin Yang 011; Qiang Zhang 008; Xiaopeng Wei; Dongsheng Zhou (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Biogeography-based Dual-Strategy Particle Swarm Algorithm for Numerical and Engineering Design Optimization. - Xia Wang; Hongwei Ge; Yaqing Hou; Mengyue Wang (CEC, 2025)

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. - Hua Yu 006; Weiming Liu 005; Gui Xu 001; Yaqing Hou; Yew-Soon Ong; Qiang Zhang 008 (CVPR, 2025)

An evolutionary multitasking algorithm for multi-objective feature selection using dual-perspective reduction. - Mengyue Wang; Hongwei Ge; Xia Wang; Liang Sun 003; Yaqing Hou; Bin Li (Eng. Appl. Artif. Intell., 2025)

Multitree genetic programming with spherical-based operators for synthetic minority over-sampling technique in unbalanced data. - Yuyang Cui; Ziliang Du; Hongwei Ge; Guangyu Zou; Yaqing Hou (Swarm Evol. Comput., 2025)

A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division. - Yaqing Hou; Huiyue Sun; Gonglin Yuan; Yijing Li; Zifan Che; Hongwei Ge (Swarm Evol. Comput., 2025)

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction. - Hua Yu 006; Yaqing Hou; Wenbin Pei; Yew-Soon Ong; Qiang Zhang 008 (IEEE Trans. Multim., 2025)

Niche-based Memetic algorithm with adaptive parameters for optimizing order delivery strategies in O2O platforms. - Xiangyu Kong; Guangyu Zou; Heng Qi; Jiafu Tang; Yaqing Hou (Appl. Intell., 2025)

MARIC: an efficient multi-agent real-time intention-based communication model for team cooperation. - Xin He; Hongwei Ge; Zhangang Hao; Yaqing Hou (Neural Comput. Appl., 2025)

DNA sequence design model for multi-scene fusion. - Yao Yao; Yanfen Zheng; Shuang Cui; Yaqing Hou; Qiang Zhang 008; Xiaopeng Wei (Neural Comput. Appl., 2025)

Guest Editorial: Advancing Computational Intelligence in Autonomous Learning and Optimization Systems [Guest Editorial]. - Yaqing Hou; Liang Feng 001; Yi Mei 001 (IEEE Comput. Intell. Mag., 2025)

A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design. - Yaqing Hou; Zhaoping Yu; Zheng Guo; Wenbin Pei; Yaoxin Wu; Hongwei Ge; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems. - Dian Meng; Zhiguang Cao; Yaoxin Wu; Yaqing Hou; Hongwei Ge; Qiang Zhang 008 (CoRR, 2025)

Cooperative Multiagent Learning and Exploration With Min-Max Intrinsic Motivation. - Yaqing Hou; Jie Kang; Haiyin Piao; Yifeng Zeng; Yew-Soon Ong; Yaochu Jin; Qiang Zhang 008 (IEEE Trans. Cybern., 2025)

A Spatio-temporal Continuous Network for Stochastic 3D Human Motion Prediction. - Hua Yu 006; Yaqing Hou; Xu Gui 001; Shanshan Feng; Dongsheng Zhou; Qiang Zhang 008 (CoRR, 2025)

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation. - Hua Yu 006; Jiao Liu; Xu Gui 001; Melvin Wong; Yaqing Hou; Yew-Soon Ong (CoRR, 2025)