2025
Cooperative Multiagent Learning and Exploration With Min-Max Intrinsic Motivation.
IEEE Trans. Cybern., June, 2025
A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis.
CoRR, May, 2025
Guest Editorial: Advancing Computational Intelligence in Autonomous Learning and Optimization Systems [Guest Editorial].
IEEE Comput. Intell. Mag., May, 2025
DNA sequence design model for multi-scene fusion.
Neural Comput. Appl., March, 2025
MARIC: an efficient multi-agent real-time intention-based communication model for team cooperation.
Neural Comput. Appl., February, 2025
Niche-based Memetic algorithm with adaptive parameters for optimizing order delivery strategies in O2O platforms.
Appl. Intell., January, 2025
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
IEEE Trans. Multim., 2025
A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division.
Swarm Evol. Comput., 2025
An evolutionary multitasking algorithm for multi-objective feature selection using dual-perspective reduction.
Eng. Appl. Artif. Intell., 2025
A Biogeography-based Dual-Strategy Particle Swarm Algorithm for Numerical and Engineering Design Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
2024
Multilevel Joint Association Networks for Diverse Human Motion Prediction.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
Temporal prediction model with context-aware data augmentation for robust visual reinforcement learning.
Neural Comput. Appl., November, 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
MSTP-Net: Multiscale Spatio-Temporal Parallel Networks for Human Motion Prediction.
IEEE Trans. Consumer Electron., 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
A Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution.
IEEE Trans. Image Process., 2024
Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance.
Knowl. Based Syst., 2024
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
CoRR, 2024
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization.
CoRR, 2024
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.
CoRR, 2024
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.
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.
Proceedings of the International Joint Conference on Neural Networks, 2024
Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 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
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