Yaqing Hou

According to our database, Yaqing Hou authored at least 80 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multilevel Joint Association Networks for Diverse Human Motion Prediction.

Linwei Chen, Wanshu Fan, Xu Gui, Yaqing Hou, Xin Yang, Qiang Zhang, Xiaopeng Wei, Dongsheng Zhou

IEEE Trans. Emerg. Top. Comput. Intell., December, 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., November, 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

IEEE Trans. Evol. Comput., April, 2024

Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs.

Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

MSTP-Net: Multiscale Spatio-Temporal Parallel Networks for Human Motion Prediction.

Lujing Chen, Rui Liu, Wei Zhang, Yaqing Hou, Qiang Zhang, Dongsheng Zhou

IEEE Trans. Consumer Electron., February, 2024

Stochastic online decisioning hyper-heuristic for high dimensional optimization.

Wang Xia, Hong-Wei Ge, Mingde Zhao, Yaqing Hou, Mingyang Sun

Appl. Intell., January, 2024

Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting Learning.

Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao

IEEE Trans. Multim., 2024

Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification.

Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao

IEEE Trans. Multim., 2024

A Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution.

Guozhi Tang, Hongwei Ge, Liang Sun, Yaqing Hou, Mingde Zhao

IEEE Trans. Image Process., 2024

Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance.

Guozhi Tang, Hongwei Ge, Enxuan Gu, Yaqing Hou, Mingde Zhao

Knowl. Based Syst., 2024

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.

Hua Yu, Yaqing Hou, Wenbin Pei, Qiang Zhang

CoRR, 2024

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization.

Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong

CoRR, 2024

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.

Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang

CoRR, 2024

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.

Hua Yu, Weiming Liu, Jiapeng Bai, Xu Gui, Yaqing Hou, Yew-Soon Ong, Qiang Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Safety-guided Deep Reinforcement Learning for Path Planning of Autonomous Mobile Robots.

Zhuoru Yu, Yaqing Hou, Qiang Zhang, Qian Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning.

Yang Li, Sihan Zhou, Yaqing Hou, Liran Zhou, Hongwei Ge, Liang Feng, Siyu Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward.

Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms.

Haiwei Wang, Yongchao Chen, Chenchen Zhang, Yaqing Hou, Xiangrong Tong, Qiang Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks.

Wenqiang Ma, Yaqing Hou, Hua Yu, Xiangrong Tong, Zexuan Zhu, Qiang Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.

Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat.

Haiyin Piao, Yue Han, Shaoming He, Chao Yu, Songyuan Fan, Yaqing Hou, Chengchao Bai, Li Mo

IEEE Trans. Cogn. Dev. Syst., December, 2023

SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation.

Dongwei Liu, Ning Sheng, Yutong Han, Yaqing Hou, Bin Liu, Jianxin Zhang, Qiang Zhang

Neural Comput. Appl., November, 2023

Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.

Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang

IEEE Trans. Circuits Syst. Video Technol., October, 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, Haiyin Piao, Yaqing Hou

Neural Comput. Appl., September, 2023

A universal large-scale many-objective optimization framework based on cultural learning.

Xia Wang, Hongwei Ge, Naiqiang Zhang, Yaqing Hou, Liang Sun

Appl. Soft Comput., September, 2023

BRGR: Multi-agent cooperative reinforcement learning with bidirectional real-time gain representation.

Xin He, Hongwei Ge, Liang Sun, Qifeng Li, Yaqing Hou

Appl. Intell., August, 2023

Attention-guided spatial-temporal graph relation network for video-based person re-identification.

Yu Qi, Hongwei Ge, Wenbin Pei, Yuxuan Liu, Yaqing Hou, Liang Sun

Neural Comput. Appl., July, 2023

Camera-aware progressive learning for unsupervised person re-identification.

Yuxuan Liu, Hongwei Ge, Liang Sun, Yaqing Hou

Neural Comput. Appl., May, 2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Artif. Intell., February, 2023

Complementary Attention-Driven Contrastive Learning With Hard-Sample Exploring for Unsupervised Domain Adaptive Person Re-ID.

Yuxuan Liu, Hongwei Ge, Liang Sun, Yaqing Hou

IEEE Trans. Circuits Syst. Video Technol., 2023

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards.

Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Surrogate-Assisted Morphology Optimization by Genetic Algorithms.

Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control.

Hongwei Ge, Dongwan Gao, Liang Sun, Yaqing Hou, Chao Yu, Yuxin Wang, Guozhen Tan

IEEE Trans. Intell. Transp. Syst., 2022

Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems.

Yaqing Hou, Mingyang Sun, Wenxuan Zhu, Yifeng Zeng, Haiyin Piao, Xuefeng Chen, Qiang Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Perception-oriented Single Image Super-Resolution Network with Receptive Field Block.

Wei Zhang, Yaqing Hou, Wanshu Fan, Xin Yang, Dongsheng Zhou, Qiang Zhang, 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, Min Li, Liang Feng

Neural Comput. Appl., 2022

Adaptive kernel selection network with attention constraint for surgical instrument classification.

Yaqing Hou, Wenkai Zhang, Qian Liu, Hongwei Ge, Jun Meng, Qiang Zhang, Xiaopeng Wei

Neural Comput. Appl., 2022

Guest editorial.

Yaqing Hou, Yuan Yuan, Zexuan Zhu

Memetic Comput., 2022

ICMiF: Interactive cascade microformers for cross-domain person re-identification.

Jiajian Huang, Hongwei Ge, Liang Sun, Yaqing Hou, Xia Wang

Inf. Sci., 2022

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More.

Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou

IEEE Comput. Intell. Mag., 2022

A memetic evolution system with statistical variable classification for large-scale many-objective optimization.

Hongwei Ge, Naiqiang Zhang, Liang Sun, Xia Wang, Yaqing Hou

Appl. Soft Comput., 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

Proceedings of the International Joint Conference on Neural Networks, 2022

Budgeted Sequence Submodular Maximization.

Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Omics Data Integration Patient Classification Method Based on Deep Dense Residual Shrinkage Network.

Wenyao Li, Kai Lin, Yaqing Hou, Qiang Zhang

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Towards Efficient 3D Human Motion Prediction using Deformable Transformer-based Adversarial Network.

Hua Yu, Xuanzhe Fan, Yaqing Hou, Yi Liu, Cai Kang, Dongsheng Zhou, Qiang Zhang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Preliminary Study of Multi-task MAP-Elites with Knowledge Transfer for Robotic Arm Design.

Peng Liu, Zheng Guo, Hua Yu, Han Linghu, Yijing Li, Yaqing Hou, Hongwei Ge, Qiang Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning.

Jin Yu, Haiyin Piao, Yaqing Hou, Li Mo, Xin Yang, Deyun Zhou

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction.

Yaqing Hou, Yew-Soon Ong, Jing Tang, Yifeng Zeng

IEEE Trans. Syst. Man Cybern. Syst., 2021

Local-aware spatio-temporal attention network with multi-stage feature fusion for human action recognition.

Yaqing Hou, Hua Yu, Dongsheng Zhou, Pengfei Wang, Hongwei Ge, Jianxin Zhang, Qiang Zhang

Neural Comput. Appl., 2021

Multi-Space Evolutionary Search for Large-Scale Optimization.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

CoRR, 2021

Advances in Memetic Automaton: Toward Human-Like Autonomous Agents in Complex Multi-Agent Learning Problems.

Yaqing Hou, Xiangchao Yu, Yifeng Zeng, Ziqi Wei, Haijun Zhang, Hongwei Ge, Qiang Zhang

IEEE Comput. Intell. Mag., 2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.

Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang

Proceedings of the Neural Computing for Advanced Applications, 2021

A Contextual Attention Network for Multimodal Emotion Recognition in Conversation.

Tana Wang, Yaqing Hou, Dongsheng Zhou, Qiang Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training.

Yaqing Hou, Tianbo Li, Qiang Zhang, Hua Yu, Hongwei Ge

Proceedings of the International Joint Conference on Neural Networks, 2021

Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network.

Nan Jiang, Yaqing Hou, Dongsheng Zhou, Pengfei Wang, Jianxin Zhang, Qiang Zhang

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Multi-Scale Attention Constraint Network for Fine-Grained Visual Classification.

Yaqing Hou, Wenkai Zhang, Dongsheng Zhou, Hongwei Ge, Qiang Zhang, Xiaopeng Wei

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking.

Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.

Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic.

Gengzhi Zhang, Liang Feng, Yaqing Hou

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization.

Hongwei Ge, Mingde Zhao, Yaqing Hou, Kai Zhang, Liang Sun, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

Appl. Soft Comput., 2020

Attention Gate ResU-Net for Automatic MRI Brain Tumor Segmentation.

Jianxin Zhang, Zongkang Jiang, Jing Dong, Yaqing Hou, Bin Liu

IEEE Access, 2020

A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems.

Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu, Chao Chen

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.

Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification.

Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

D2D-Enabled Reliable Data Collection for Mobile Crowd Sensing.

Pengfei Wang, Zhen Yu, Chi Lin, Leyou Yang, Yaqing Hou, Qiang Zhang

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation.

Mingyang Sun, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.

Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation.

Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou

CoRR, 2019

A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation.

Hongwei Ge, Mingde Zhao, Kai Zhang, Yaqing Hou

Appl. Soft Comput., 2019

Deep Covariance Estimation Hashing.

Yue Wu, Qiule Sun, Yaqing Hou, Jianxin Zhang, Qiang Zhang, Xiaopeng Wei

IEEE Access, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.

Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Evolution Strategy for Reinforcement Learning.

Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings.

Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.

Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.

Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada

IEEE Trans. Evol. Comput., 2017

2016

Creating human-like non-player game characters using a Memetic Multi-Agent System.

Yaqing Hou, Liang Feng, Yew-Soon Ong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A conceptual modeling of flocking-regulated multi-agent reinforcement learning.

C. S. Chen, Yaqing Hou, Yew-Soon Ong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction.

Yaqing Hou, Yifeng Zeng, Yew-Soon Ong

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016