H. Ge

发表

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

Wei Zhang, Guozhen Tan, Nan Ding, 2011, Int. J. Distributed Sens. Networks.

Enhancing protein homology batch search algorithm with sequence compression and clustering

Hong-Wei Ge, Jinghong Yu, Liang Sun, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Neural learning for the emergence of social norms in multiagent systems

H. Ge, Liang Sun, Chao Yu, 2017, 2017 IEEE International Conference on Agents (ICA).

Support vector description of clusters for image annotation

Shinichi Yoshida, Yanchun Liang, Guozhen Tan, 2014 .

Random Learning Particle Swarm Optimization with Quasi-Newton Exploitation Mechanism

H. Ge, Liang Sun, Xia Wang, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

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

H. Ge, Liang Sun, Wenjing Kang, 2019, Frontiers of Computer Science.

A bacterial foraging strategy-based recurrent neural network for identifying and controlling nonlinear systems

Hong-Wei Ge, Liang Sun, H. Ge, 2012, ICNC.

Fast batch searching for protein homology based on compression and clustering

Liang Sun, Jinghong Yu, Hongwei Ge, 2017, BMC Bioinformatics.

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

Zhang Kai, Liang Sun, C. L. Philip Chen, 2020, Appl. Soft Comput..

Value of breast MRI omics features and clinical characteristics in Breast Imaging Reporting and Data System (BI-RADS) category 4 breast lesions: an analysis of radiomics-based diagnosis

H. Ge, Yiping Zhao, Dongxue Qin, 2021, Annals of translational medicine.

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

H. Ge, Liang Sun, Yaqing Hou, 2021, Appl. Soft Comput..

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

Liang Sun, Kai Zhang, Hongwei Ge, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Xin Wang, Minjie Zhang, Xin Xu, 2020, IEEE Transactions on Intelligent Transportation Systems.

Convergent Stochastic Differential Evolution Algorithms

Liang Sun, Hongwei Ge, Limin Wang, 2016 .

An attention mechanism based convolutional LSTM network for video action recognition

Wenhao Yu, Hongwei Ge, Liang Sun, 2019, Multimedia Tools and Applications.

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

Chunguo Wu, Jiankang Ren, Guozhen Tan, 2019, IEEE Access.

Energy Efficiency QoS Assurance Routing in Wireless Multimedia Sensor Networks

Naixue Xiong, Xuedong Liang, Joel J. P. C. Rodrigues, 2011, IEEE Systems Journal.

A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning

Liang Sun, Guozhen Tan, Hongwei Ge, 2018, IEEE Transactions on Evolutionary Computation.

An attention mechanism based convolutional LSTM network for video action recognition

H. Ge, Zehang Yan, Wenhao Yu, 2019, Multimedia Tools and Applications.

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

Hong-Wei Ge, Mingde Zhao, Liang Sun, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

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

C. L. Philip Chen, Guozhen Tan, Hong-Wei Ge, 2018, ArXiv.

Fast batch searching for protein homology based on compression and clustering

H. Ge, Liang Sun, Jinghong Yu, 2017, BMC Bioinformatics.

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

Nan Ding, Hongwei Ge, Yanhua Ma, 2019, Sensors.

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

Nan Ding, HaoXuan Ma, ChuanGuo Zhao, 2019, 2019 IEEE International Conference on Smart Internet of Things (SmartIoT).

Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes

H. Ge, Haowen Tian, Juan Tian, 2023, Frontiers in Oncology.

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

H. Ge, Liang Sun, Zhixin Ge, 2022, Applied Intelligence.

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

Wenjing Kang, Liang Sun, Hongwei Ge, 2019, Frontiers of Computer Science.

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation

Liang Sun, Kai Zhang, Hongwei Ge, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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

Guozhen Tan, Hongwei Ge, Yaqing Hou, 2021, IEEE Transactions on Intelligent Transportation Systems.

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

Yuxuan Liu, H. Ge, Liang Sun, 2023, Neural computing & applications (Print).

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

Kai Lin, Di Wang, Hongwei Ge, 2017, IEEE Internet of Things Journal.

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

H. Ge, Liang Sun, Qifeng Li, 2023, Applied Intelligence.

Discovery of DNA Motif Utilising an Integrated Strategy Based on Random Projection and Particle Swarm Optimization

Liang Sun, Yao Yao, Jinghong Yu, 2019, Mathematical Problems in Engineering.

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

H. Ge, Liang Sun, Yaqing Hou, 2023, Applied Soft Computing.

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

C. L. Philip Chen, Liang Sun, Guozhen Tan, 2017, IEEE Transactions on Cybernetics.

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

Xin Yang, Yanchun Liang, Shinichi Yoshida, 2015, Appl. Soft Comput..

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

Kai Zhang, Liang Sun, Mingde Zhao, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

H. Ge, Liang Sun, Jiangfeng Sun, 2023, Computer methods and programs in biomedicine.

AGPN: Action Granularity Pyramid Network for Video Action Recognition

Yuxuan Liu, H. Ge, Liang Sun, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

NMF-based stochastic models for multi-label propagation

Hong-Wei Ge, Liang Sun, Weiting Sun, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

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

Zheng Chen, Yao Yao, Hong-Wei Ge, 2018, ACCV.

Camera-aware progressive learning for unsupervised person re-identification

Yuxuan Liu, H. Ge, Liang Sun, 2023, Neural Computing and Applications.

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

Yuxuan Liu, H. Ge, Mingde Zhao, 2023, IEEE Transactions on Multimedia.

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

Yuxuan Liu, H. Ge, Liang Sun, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Adaptive kernel selection network with attention constraint for surgical instrument classification

H. Ge, Qiang Zhang, Xiaopeng Wei, 2021, Neural Comput. Appl..

An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling

Yanchun Liang, Hong-Wei Ge, Liang Sun, 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training

H. Ge, Qiang Zhang, Yaqing Hou, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A Multiagent Cooperative Learning System With Evolution of Social Roles

Yaochu Jin, H. Ge, Y. Ong, 2024, IEEE Transactions on Evolutionary Computation.

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

Yao Yao, Hongwei Ge, Mingde Zhao, 2019, IEEE Access.

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

Qiang Zhang, Hongwei Ge, Dongsheng Zhou, 2021, Neural Computing and Applications.