Hong-Wei Ge

Orcid: 0000-0002-8937-1515

According to our database1, Hong-Wei Ge authored at least 139 papers between 2005 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

Multi-view clustering via dual-norm and HSIC.
Multim. Tools Appl., April, 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

Troublemaker Learning for Low-Light Image Enhancement.
CoRR, 2024

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

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

Low-rank tensor multi-view subspace clustering via cooperative regularization.
Multim. Tools Appl., October, 2023

A collaborative multi-task learning method for BI-RADS category 4 breast lesion segmentation and classification of MRI images.
Comput. Methods Programs Biomed., October, 2023

Efficient Self-learning Evolutionary Neural Architecture Search.
Appl. Soft Comput., October, 2023

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

AGPN: Action Granularity Pyramid Network for Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., August, 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

Hypergraph regularized low-rank tensor multi-view subspace clustering via L1 norm constraint.
Appl. Intell., June, 2023

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

Multi-view subspace enhanced representation of manifold regularization and low-rank tensor constraint.
Int. J. Mach. Learn. Cybern., May, 2023

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

Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction.
Eng. Appl. Artif. Intell., 2023

Research on an unsupervised person re-identification based on image quality enhancement method.
Eng. Appl. Artif. Intell., 2023

Surrogate-Assisted Morphology Optimization by Genetic Algorithms.
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

Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification.
Neural Process. Lett., 2022

An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image.
Neural Process. Lett., 2022

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

An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image.
Multim. Tools Appl., 2022

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

Improving visual multi-object tracking algorithm via integrating GM-PHD and correlation filter.
IET Image Process., 2022

Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification.
Comput. Electr. Eng., 2022

Kernelized discriminative-collaborative representation-based approach for pattern classification.
Comput. Electr. Eng., 2022

Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization.
Appl. Soft Comput., 2022

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

Online multi-object tracking using multi-function integration and tracking simulation training.
Appl. Intell., 2022

Transformer-based two-source motion model for multi-object tracking.
Appl. Intell., 2022

Robust semi non-negative low-rank graph embedding algorithm via the L21 norm.
Appl. Intell., 2022

Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning.
Appl. Intell., 2022

Bayesian Gate Mechanism for Multi-task Scale Learning.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Random Learning Particle Swarm Optimization with Quasi-Newton Exploitation Mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

TSINet: Efficient Breast Lesion Segmentation with Three-Stream Interactive Neural Network on Magnetic Resonance Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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

Reciprocal kernel-based weighted collaborative-competitive representation for robust face recognition.
Mach. Vis. Appl., 2021

Relaxed group low rank regression model for multi-class classification.
Multim. Tools Appl., 2021

Virtual samples based robust block-diagonal dictionary learning for face recognition.
Intell. Data Anal., 2021

Unpaired image to image transformation via informative coupled generative adversarial networks.
Frontiers Comput. Sci., 2021

A Quantum Spatial Graph Convolutional Network for Text Classification.
Comput. Syst. Sci. Eng., 2021

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

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

2020
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs.
IEEE Trans. Intell. Transp. Syst., 2020

A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction.
Neural Process. Lett., 2020

Image compact-resolution and reconstruction using reversible network.
IET Image Process., 2020

A Novel Radial Basis Neural Network-Leveraged Fast Training Method for Identifying Organs in MR Images.
Comput. Math. Methods Medicine, 2020

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

Exploring Latent Information for Unsupervised Person Re-Identification by Discriminative Learning Networks.
IEEE Access, 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

Efficient Latency Bound Analysis for Data Chains of Real-Time Tasks in Multiprocessor Systems.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control.
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

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

Decomposed Deep Reinforcement Learning for Robotic Control.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning.
IEEE Trans. Evol. Comput., 2019

Particle swarm optimization based on dimensional learning strategy.
Swarm Evol. Comput., 2019

Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style.
Sensors, 2019

Hyperspectral Image Feature Extraction Using Maclaurin Series Function Curve Fitting.
Neural Process. Lett., 2019

An attention mechanism based convolutional LSTM network for video action recognition.
Multim. Tools Appl., 2019

Non-negative matrix factorization based modeling and training algorithm for multi-label learning.
Frontiers Comput. Sci., 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

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation.
IEEE Access, 2019

Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control.
IEEE Access, 2019

Driver's Emotional State-Based Data Anomaly Detection for Vehicular Ad Hoc Networks.
Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Multi-graph embedding discriminative correlation feature learning for image recognition.
Signal Process. Image Commun., 2018

Modified Gaussian inverse Wishart PHD filter for tracking multiple non-ellipsoidal extended targets.
Signal Process., 2018

Face Recognition Using Gabor-Based Feature Extraction and Feature Space Transformation Fusion Method for Single Image per Person Problem.
Neural Process. Lett., 2018

Low-density noise removal based on lambda multi-diagonal matrix filter for binary image.
Neural Comput. Appl., 2018

Device Clustering Algorithm Based on Multimodal Data Correlation in Cognitive Internet of Things.
IEEE Internet Things J., 2018

Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization.
CoRR, 2018

An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning.
CoRR, 2018

Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks.
IEEE Access, 2018

Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation.
IEEE Access, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image Translation.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Optimization.
IEEE Trans. Cybern., 2017

A label embedding kernel method for multi-view canonical correlation analysis.
Multim. Tools Appl., 2017

Novel Partitioning Algorithm for a Gaussian Inverse Wishart PHD Filter for Extended Target Tracking.
KSII Trans. Internet Inf. Syst., 2017

Fast batch searching for protein homology based on compression and clustering.
BMC Bioinform., 2017

NMF-based stochastic models for multi-label propagation.
Proceedings of the 13th International Conference on Natural Computation, 2017

Neural learning for the emergence of social norms in multiagent systems.
Proceedings of the IEEE International Conference on Agents, 2017

An automatic motif recognition algorithm in DNA sequences based on particle swarm optimization and random projection.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A GM-PHD algorithm for multiple target tracking based on false alarm detection with irregular window.
Signal Process., 2016

Multi-patch embedding canonical correlation analysis for multi-view feature learning.
J. Vis. Commun. Image Represent., 2016

Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning.
J. Vis. Commun. Image Represent., 2016

An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling.
Int. J. Comput. Intell. Syst., 2016

Shape selection partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter for extended target tracking.
IET Signal Process., 2016

Multi-locality correlation feature learning for image recognition.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

Adaptive hybrid differential evolution with circular sliding window for large scale optimization.
Proceedings of the 12th International Conference on Natural Computation, 2016

Intelligent scheduling in flexible job shop environments based on artificial fish swarm algorithm with estimation of distribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Enhancing protein homology batch search algorithm with sequence compression and clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation.
Appl. Soft Comput., 2015

Multiview Correlation Feature Learning with Multiple Kernels.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

An improved GM-PHD tracker with track management for multiple target tracking.
Proceedings of the 2015 International Conference on Control, 2015

2014
Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition.
Pattern Recognit., 2014

Support vector description of clusters for content-based image annotation.
Pattern Recognit., 2014

Extended Target Shape Estimation by Fitting B-Spline Curve.
J. Appl. Math., 2014

Multiple extended target tracking algorithm based on GM-PHD filter and spectral clustering.
EURASIP J. Adv. Signal Process., 2014

A hierarchical particle swarm optimizer with random social cognition for large scale global optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

A novel spatially constrained mixture model for image segmentation.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

An algorithm with user ranking for measuring and discovering important nodes in social networks.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
An improved multi-target tracking algorithm based on CBMeMBer filter and variational Bayesian approximation.
Signal Process., 2013

2012
Solving Traffic Assignment Problem by an Improved Particle Swarm Optimization and a Segmented Impedance Function.
Proceedings of the Information Technology Convergence, Secure and Trust Computing, and Data Management, 2012

A bacterial foraging strategy-based recurrent neural network for identifying and controlling nonlinear systems.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2011
Energy Efficiency QoS Assurance Routing in Wireless Multimedia Sensor Networks.
IEEE Syst. J., 2011

Distributed Algorithm for Traffic Data Collection and Data Quality Analysis Based on Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2011

Study of dependency between the input noise and the parameter in fuzzy linear regression model.
Proceedings of the FUZZ-IEEE 2011, 2011

2009
Identification and control of nonlinear systems by a time-delay recurrent neural network.
Neurocomputing, 2009

An equilibrium multi-hop cluster hierarchy for wireless sensor networks.
Proceedings of the International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, 2009

2008
An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2008

Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input.
IEEE Trans. Fuzzy Syst., 2008

2007
An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Dependency between degree of fit and input noise in fuzzy linear regression using non-symmetric fuzzy triangular coefficients.
Fuzzy Sets Syst., 2007

Color Image Restoration Based on Dynamic Recurrent RBF Neural Network.
Proceedings of the Third International Conference on Natural Computation, 2007

Speed Identification of Ultrasonic Motors Based on Evolutionary Elman Network.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems.
Proceedings of the Third International Conference on Natural Computation, 2007

A Hybrid Algorithm Based on Particle Swarm Optimization and Simulated Annealing for Job Shop Scheduling.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
Mechanism Design and Analysis of Genetic Operations in Solving Traveling Salesman Problems.
Proceedings of the Intelligent Computing, 2006

Selection for Feature Gene Subset in Microarray Expression Profiles Based on an Improved Genetic Algorithm.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005


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