Yaqing Hou

Orcid: 0000-0002-9929-2650

According to our database1, Yaqing Hou authored at least 66 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Multiagent Cooperative Learning System With Evolution of Social Roles.
IEEE Trans. Evol. Comput., April, 2024

Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Stochastic online decisioning hyper-heuristic for high dimensional optimization.
Appl. Intell., January, 2024

Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting Learning.
IEEE Trans. Multim., 2024

Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification.
IEEE Trans. Multim., 2024

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.
CoRR, 2024

2023
Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat.
IEEE Trans. Cogn. Dev. Syst., December, 2023

SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation.
Neural Comput. Appl., November, 2023

Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Multi-agent air combat with two-stage graph-attention communication.
Neural Comput. Appl., September, 2023

A universal large-scale many-objective optimization framework based on cultural learning.
Appl. Soft Comput., September, 2023

BRGR: Multi-agent cooperative reinforcement learning with bidirectional real-time gain representation.
Appl. Intell., August, 2023

Attention-guided spatial-temporal graph relation network for video-based person re-identification.
Neural Comput. Appl., July, 2023

Camera-aware progressive learning for unsupervised person re-identification.
Neural Comput. Appl., May, 2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell., February, 2023

Complementary Attention-Driven Contrastive Learning With Hard-Sample Exploring for Unsupervised Domain Adaptive Person Re-ID.
IEEE Trans. Circuits Syst. Video Technol., 2023

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Surrogate-Assisted Morphology Optimization by Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

2022
Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., 2022

Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Perception-oriented Single Image Super-Resolution Network with Receptive Field Block.
Neural Comput. Appl., 2022

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.
Neural Comput. Appl., 2022

Adaptive kernel selection network with attention constraint for surgical instrument classification.
Neural Comput. Appl., 2022

Guest editorial.
Memetic Comput., 2022

ICMiF: Interactive cascade microformers for cross-domain person re-identification.
Inf. Sci., 2022

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More.
IEEE Comput. Intell. Mag., 2022

A memetic evolution system with statistical variable classification for large-scale many-objective optimization.
Appl. Soft Comput., 2022

Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat.
Proceedings of the International Joint Conference on Neural Networks, 2022

Budgeted Sequence Submodular Maximization.
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.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Local-aware spatio-temporal attention network with multi-stage feature fusion for human action recognition.
Neural Comput. Appl., 2021

Multi-Space Evolutionary Search for Large-Scale Optimization.
CoRR, 2021

Advances in Memetic Automaton: Toward Human-Like Autonomous Agents in Complex Multi-Agent Learning Problems.
IEEE Comput. Intell. Mag., 2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.
Proceedings of the Neural Computing for Advanced Applications, 2021

A Contextual Attention Network for Multimodal Emotion Recognition in Conversation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2021

Weakly Supervised Gleason Grading of Prostate Cancer Slides using Graph Neural Network.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Multi-Scale Attention Constraint Network for Fine-Grained Visual Classification.
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.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization.
Appl. Soft Comput., 2020

Attention Gate ResU-Net for Automatic MRI Brain Tumor Segmentation.
IEEE Access, 2020

A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

D2D-Enabled Reliable Data Collection for Mobile Crowd Sensing.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation.
CoRR, 2019

A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation.
Appl. Soft Comput., 2019

Deep Covariance Estimation Hashing.
IEEE Access, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Evolution Strategy for Reinforcement Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings.
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.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.
IEEE Trans. Evol. Comput., 2017

2016
Creating human-like non-player game characters using a Memetic Multi-Agent System.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A conceptual modeling of flocking-regulated multi-agent reinforcement learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016


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