Hong-Wei Ge

According to our database, Hong-Wei Ge authored at least 152 papers between 2005 and 2024.

Collaborative distances:

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

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

Robust multi-view clustering via collaborative constraints and multi-layer concept factorization.

Guoqing Liu, Hongwei Ge, Ting Li, Shuzhi Su, Penglian Gao

Appl. Intell., October, 2024

Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming.

Xuan Wu, Di Wang, Huanhuan Chen, Lele Yan, Yubin Xiao, Chunyan Miao, Hongwei Ge, Dong Xu, Yanchun Liang, Kangping Wang, Chunguo Wu, You Zhou

IEEE Trans. Evol. Comput., June, 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

Multi-view clustering via dual-norm and HSIC.

Guoqing Liu, Hongwei Ge, Shuzhi Su, Shuangxi Wang

Multim. Tools Appl., April, 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

Localization and saturation of degradation space for weakly-supervised real-world super-resolution.

Guozhi Tang, Hongwei Ge, Yuxuan Liu, Chunguo Wu

Knowl. Based Syst., 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

Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows.

Haifei Zhang, Hong-Wei Ge, Ting Li, Shuzhi Su, Yubing Tong

Intell. Data Anal., 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

Troublemaker Learning for Low-Light Image Enhancement.

Yinghao Song, Zhiyuan Cao, Wanhong Xiang, Sifan Long, Bo Yang, Hongwei Ge, Yanchun Liang, Chunguo Wu

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

Momentum-based distributed gradient tracking algorithms for distributed aggregative optimization over unbalanced directed graphs.

Zhu Wang, Dong Wang, Jie Lian, Hongwei Ge, Wei Wang

Autom., 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

CoDe: An Explicit Content Decoupling Framework for Image Restoration.

Enxuan Gu, Hongwei Ge, Yong Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Low-rank tensor multi-view subspace clustering via cooperative regularization.

Guoqing Liu, Hongwei Ge, Shuzhi Su, Shuangxi Wang

Multim. Tools Appl., October, 2023

A collaborative multi-task learning method for BI-RADS category 4 breast lesion segmentation and classification of MRI images.

Liang Sun, Yunling Zhang, Tang Liu, Hongwei Ge, Juan Tian, Xin Qi, Jian Sun, Yiping Zhao

Comput. Methods Programs Biomed., October, 2023

Efficient Self-learning Evolutionary Neural Architecture Search.

Zhengzhong Qiu, Wei Bi, Dong Xu, Hua Guo, Hongwei Ge, Yanchun Liang, Heow Pueh Lee, Chunguo Wu

Appl. Soft Comput., October, 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

AGPN: Action Granularity Pyramid Network for Video Action Recognition.

Yatong Chen, Hongwei Ge, Yuxuan Liu, Xinye Cai, Liang Sun

IEEE Trans. Circuits Syst. Video Technol., August, 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

Hypergraph regularized low-rank tensor multi-view subspace clustering via L1 norm constraint.

Guoqing Liu, Hongwei Ge, Shuzhi Su, Shuangxi Wang

Appl. Intell., June, 2023

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

Yuxuan Liu, Hongwei Ge, Liang Sun, Yaqing Hou

Neural Comput. Appl., May, 2023

Multi-view subspace enhanced representation of manifold regularization and low-rank tensor constraint.

Guoqing Liu, Hongwei Ge, Ting Li, Shuzhi Su, Shuangxi Wang

Int. J. Mach. Learn. Cybern., May, 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

Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction.

Guoqing Liu, Hongwei Ge, Ting Li, Shuzhi Su, Shuangxi Wang

Eng. Appl. Artif. Intell., 2023

Research on an unsupervised person re-identification based on image quality enhancement method.

Zhangang Hao, Hongwei Ge, Jiajian Huang

Eng. Appl. Artif. Intell., 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

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

Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification.

Jieming Yang, Hongwei Ge, Jinlong Yang, Yubing Tong, Shuzhi Su

Neural Process. Lett., 2022

An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image.

Li Li, Jianqiang Gao, Hongwei Ge, Yixin Zhang, Jieming Yang

Neural Process. Lett., 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

An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image.

Li Li, Jianqiang Gao, Hongwei Ge, Yixin Zhang, Haifei Zhang

Multim. Tools Appl., 2022

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

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

Inf. Sci., 2022

Improving visual multi-object tracking algorithm via integrating GM-PHD and correlation filter.

Jinlong Yang, Peng Ni, Jiani Miao, Hongwei Ge

IET Image Process., 2022

Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification.

Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Shuzhi Su

Comput. Electr. Eng., 2022

Kernelized discriminative-collaborative representation-based approach for pattern classification.

Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Guo-Qing Liu, Yeerjiang Halimu

Comput. Electr. Eng., 2022

Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization.

Haifei Zhang, Hongwei Ge, Jieming Yang, Shuzhi Su, Yubing Tong

Appl. Soft Comput., 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

Online multi-object tracking using multi-function integration and tracking simulation training.

Jieming Yang, Hongwei Ge, Jinlong Yang, Yubing Tong, Shuzhi Su

Appl. Intell., 2022

Transformer-based two-source motion model for multi-object tracking.

Jieming Yang, Hongwei Ge, Shuzhi Su, Guoqing Liu

Appl. Intell., 2022

Robust semi non-negative low-rank graph embedding algorithm via the L21 norm.

Guoqing Liu, Hongwei Ge, JinlongYang, Shuangxi Wang

Appl. Intell., 2022

Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning.

Hongwei Ge, Zhixin Ge, Liang Sun, Yuxin Wang

Appl. Intell., 2022

Bayesian Gate Mechanism for Multi-task Scale Learning.

Shihao Wang, Hongwei Ge

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Random Learning Particle Swarm Optimization with Quasi-Newton Exploitation Mechanism.

Xia Wang, Hongwei Ge, Liang Sun, Xinming Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 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

TSINet: Efficient Breast Lesion Segmentation with Three-Stream Interactive Neural Network on Magnetic Resonance Images.

Liang Sun, Yunling Zhang, Hongwei Ge, Tang Liu, Yiping Zhao, Jian Sun, Juan Tian, Xin Qi

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.

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

Neural Comput. Appl., 2021

Reciprocal kernel-based weighted collaborative-competitive representation for robust face recognition.

Shuangxi Wang, Hongwei Ge, Jinlong Yang, Yubing Tong, Shuzhi Su

Mach. Vis. Appl., 2021

Relaxed group low rank regression model for multi-class classification.

Shuangxi Wang, Hongwei Ge, Jinlong Yang, Yubing Tong

Multim. Tools Appl., 2021

Virtual samples based robust block-diagonal dictionary learning for face recognition.

Shuangxi Wang, Hongwei Ge, Jinlong Yang, Shuzhi Su

Intell. Data Anal., 2021

Unpaired image to image transformation via informative coupled generative adversarial networks.

Hongwei Ge, Yuxuan Han, Wenjing Kang, Liang Sun

Frontiers Comput. Sci., 2021

A Quantum Spatial Graph Convolutional Network for Text Classification.

Syed Mustajar Ahmad Shah, Hongwei Ge, Sami Ahmed Haider, Muhammad Irshad, Sohail M. Noman, Jehangir Arshad Meo, Asfandeyar Ahmad, Talha Younas

Comput. Syst. Sci. Eng., 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

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

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

2020

Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs.

Chao Yu, Xin Wang, Xin Xu, Minjie Zhang, Hongwei Ge, Jiankang Ren, Liang Sun, Bingcai Chen, Guozhen Tan

IEEE Trans. Intell. Transp. Syst., 2020

A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction.

Li Li, Hongwei Ge, Jianqiang Gao, Yixin Zhang, Yubing Tong, Jun Sun

Neural Process. Lett., 2020

Image compact-resolution and reconstruction using reversible network.

Jieming Yang, Hongwei Ge, Jinlong Yang, Yubing Tong

IET Image Process., 2020

A Novel Radial Basis Neural Network-Leveraged Fast Training Method for Identifying Organs in MR Images.

Min Xu, Pengjiang Qian, Jiamin Zheng, Hongwei Ge, Raymond F. Muzic Jr.

Comput. Math. Methods Medicine, 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

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

Hongwei Ge, Kai Zhang, Liang Sun, Guozhen Tan

IEEE Access, 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

Efficient Latency Bound Analysis for Data Chains of Real-Time Tasks in Multiprocessor Systems.

Jiankang Ren, Xin He, Junlong Zhou, Hongwei Ge, Guowei Wu, Guozhen Tan

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control.

Yinzhao Dong, Chao Yu, Hongwei Ge

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 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

Decomposed Deep Reinforcement Learning for Robotic Control.

Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge

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.

Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

IEEE Trans. Evol. Comput., 2019

Particle swarm optimization based on dimensional learning strategy.

Guiping Xu, Quanlong Cui, Xiaohu Shi, Hongwei Ge, Zhi-Hui Zhan, Heow Pueh Lee, Yanchun Liang, Ran Tai, Chunguo Wu

Swarm Evol. Comput., 2019

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

Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge

Sensors, 2019

Hyperspectral Image Feature Extraction Using Maclaurin Series Function Curve Fitting.

Li Li, Hongwei Ge, Jianqiang Gao, Yixin Zhang

Neural Process. Lett., 2019

An attention mechanism based convolutional LSTM network for video action recognition.

Hongwei Ge, Zehang Yan, Wenhao Yu, Liang Sun

Multim. Tools Appl., 2019

Non-negative matrix factorization based modeling and training algorithm for multi-label learning.

Liang Sun, Hongwei Ge, Wenjing Kang

Frontiers Comput. Sci., 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

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation.

Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao

IEEE Access, 2019

Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control.

Hongwei Ge, Yumei Song, Chunguo Wu, Jiankang Ren, Guozhen Tan

IEEE Access, 2019

Driver's Emotional State-Based Data Anomaly Detection for Vehicular Ad Hoc Networks.

Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge

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.

Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation.

Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style.

Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Multi-graph embedding discriminative correlation feature learning for image recognition.

Shuzhi Su, Hongwei Ge, Yubing Tong

Signal Process. Image Commun., 2018

Modified Gaussian inverse Wishart PHD filter for tracking multiple non-ellipsoidal extended targets.

Peng Li, Hong-Wei Ge, Jinlong Yang, Wenhui Wang

Signal Process., 2018

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

Li Li, Hongwei Ge, Yubing Tong, Yixin Zhang

Neural Process. Lett., 2018

Low-density noise removal based on lambda multi-diagonal matrix filter for binary image.

Li Li, Hongwei Ge, Yixin Zhang, Jianqiang Gao

Neural Comput. Appl., 2018

Device Clustering Algorithm Based on Multimodal Data Correlation in Cognitive Internet of Things.

Kai Lin, Di Wang, Fuzhen Xia, Hongwei Ge

IEEE Internet Things J., 2018

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

Mingde Zhao, Hongwei Ge, Yi Lian, C. L. Philip Chen

CoRR, 2018

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

Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

CoRR, 2018

Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks.

Liang Sun, Wenjing Kang, Yuxuan Han, Hongwei Ge

IEEE Access, 2018

Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation.

Hongwei Ge, Yao Yao, Zheng Chen, Liang Sun

IEEE Access, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs.

Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution.

Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data.

Hongwei Ge, Keyi Sun, Liang Sun, Mingde Zhao, Chunguo Wu

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.

Hongwei Ge, Yao Yao, Zheng Chen, Liang Sun

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Optimization.

Hongwei Ge, Liang Sun, Guozhen Tan, Zheng Chen, C. L. Philip Chen

IEEE Trans. Cybern., 2017

A label embedding kernel method for multi-view canonical correlation analysis.

Shuzhi Su, Hongwei Ge, Yunhao Yuan

Multim. Tools Appl., 2017

Novel Partitioning Algorithm for a Gaussian Inverse Wishart PHD Filter for Extended Target Tracking.

Peng Li, Hongwei Ge, Jinlong Yang

KSII Trans. Internet Inf. Syst., 2017

Fast batch searching for protein homology based on compression and clustering.

Hongwei Ge, Liang Sun, Jinghong Yu

BMC Bioinform., 2017

NMF-based stochastic models for multi-label propagation.

Liang Sun, Hongwei Ge, Weiting Sun

Proceedings of the 13th International Conference on Natural Computation, 2017

Neural learning for the emergence of social norms in multiagent systems.

Chao Yu, Yatong Chen, Hongtao Lv, Jiankang Ren, Hongwei Ge, Liang Sun

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.

Hongwei Ge, Liang Sun, Yao Yao, Jinghong Yu

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.

Huanqing Zhang, Hong-Wei Ge, Jinlong Yang, Yunhao Yuan

Signal Process., 2016

Multi-patch embedding canonical correlation analysis for multi-view feature learning.

Shuzhi Su, Hongwei Ge, Yunhao Yuan

J. Vis. Commun. Image Represent., 2016

Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning.

Shuzhi Su, Hongwei Ge, Yunhao Yuan

J. Vis. Commun. Image Represent., 2016

An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling.

Hongwei Ge, Liang Sun, Xin Chen, Yanchun Liang

Int. J. Comput. Intell. Syst., 2016

Shape selection partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter for extended target tracking.

Peng Li, Hong-Wei Ge, Jinlong Yang, Huanqing Zhang

IET Signal Process., 2016

Multi-locality correlation feature learning for image recognition.

Shuzhi Su, Hong-Wei Ge, Yunhao Yuan

Proceedings of the IEEE Symposium on Computers and Communication, 2016

Adaptive hybrid differential evolution with circular sliding window for large scale optimization.

Hongwei Ge, Liang Sun, Xin Yang

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.

Hongwei Ge, Liang Sun

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Enhancing protein homology batch search algorithm with sequence compression and clustering.

Hong-Wei Ge, Liang Sun, Jinghong Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation.

Hongwei Ge, Liang Sun, Xin Yang, Shinichi Yoshida, Yanchun Liang

Appl. Soft Comput., 2015

Multiview Correlation Feature Learning with Multiple Kernels.

Yunhao Yuan, Xiao-Bo Shen, Zhiyong Xiao, Jinlong Yang, Hong-Wei Ge, Quan-Sen Sun

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.

Huanqing Zhang, Jinlong Yang, Hongwei Ge, Le Yang

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.

Yunhao Yuan, Quan-Sen Sun, Hong-Wei Ge

Pattern Recognit., 2014

Support vector description of clusters for content-based image annotation.

Liang Sun, Hongwei Ge, Shinichi Yoshida, Yanchun Liang, Guozhen Tan

Pattern Recognit., 2014

Extended Target Shape Estimation by Fitting B-Spline Curve.

Jinlong Yang, Peng Li, Hongwei Ge

J. Appl. Math., 2014

Multiple extended target tracking algorithm based on GM-PHD filter and spectral clustering.

Jinlong Yang, Fengmei Liu, Hongwei Ge, Yunhao Yuan

EURASIP J. Adv. Signal Process., 2014

A hierarchical particle swarm optimizer with random social cognition for large scale global optimization.

Hong-Wei Ge, Zheng Ma, Liang Sun

Proceedings of the 10th International Conference on Natural Computation, 2014

A novel spatially constrained mixture model for image segmentation.

Zhiyong Xiao, Yunhao Yuan, Jinlong Yang, Hong-Wei Ge

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.

Liang Sun, Hong-Wei Ge, Xiaoli Guo

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.

Jinlong Yang, Hong-Wei Ge

Signal Process., 2013

2012

Solving Traffic Assignment Problem by an Improved Particle Swarm Optimization and a Segmented Impedance Function.

Hongwei Ge, Qiaoxia Zhang, Fan Wang

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.

Hong-Wei Ge, Liang Sun

Proceedings of the Eighth International Conference on Natural Computation, 2012

2011

Energy Efficiency QoS Assurance Routing in Wireless Multimedia Sensor Networks.

Kai Lin, Joel J. P. C. Rodrigues, Hongwei Ge, Naixue Xiong, Xuedong Liang

IEEE Syst. J., 2011

Distributed Algorithm for Traffic Data Collection and Data Quality Analysis Based on Wireless Sensor Networks.

Nan Ding, Guozhen Tan, Wei Zhang, Hongwei Ge

Int. J. Distributed Sens. Networks, 2011

Study of dependency between the input noise and the parameter in fuzzy linear regression model.

Hongwei Ge, Shitong Wang, Wei Song

Proceedings of the FUZZ-IEEE 2011, 2011

2009

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

Hong-Wei Ge, Wenli Du, Feng Qian, Yanchun Liang

Neurocomputing, 2009

An equilibrium multi-hop cluster hierarchy for wireless sensor networks.

Kai Lin, Keqiu Li, Hongwei Ge, Yanming Shen

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.

Hong-Wei Ge, Liang Sun, Yanchun Liang, Feng Qian

IEEE Trans. Syst. Man Cybern. Part A, 2008

Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input.

Hongwei Ge, Fu-Lai Chung, Shitong Wang

IEEE Trans. Fuzzy Syst., 2008

2007

An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System.

Hong-Wei Ge, Wenli Du, Feng Qian, Wang Lu

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.

Hong-Wei Ge, Wenli Du, Feng Qian, Wang Lu

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.

Hong-Wei Ge, Shitong Wang

Fuzzy Sets Syst., 2007

Color Image Restoration Based on Dynamic Recurrent RBF Neural Network.

Hongwei Ge, Weinan Yang

Proceedings of the Third International Conference on Natural Computation, 2007

Speed Identification of Ultrasonic Motors Based on Evolutionary Elman Network.

Hongwei Ge, Wenli Du, Feng Qian, Zhencheng Ye

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.

Hongwei Ge, Wenli Du, Feng Qian, Yanchun Liang

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.

Hongwei Ge, Wenli Du, Feng Qian

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Mechanism Design and Analysis of Genetic Operations in Solving Traveling Salesman Problems.

Hong-Wei Ge, Yanchun Liang, Maurizio Marchese, Lu Wang

Proceedings of the Intelligent Computing, 2006

Selection for Feature Gene Subset in Microarray Expression Profiles Based on an Improved Genetic Algorithm.

Chen Zhang, Yanchun Liang, Wei Xiong, Hong-Wei Ge

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System.

Hong-Wei Ge, Liang Sun, Yanchun Liang

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.

Hong-Wei Ge, Yanchun Liang

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005