Liang Sun

According to our database, Liang Sun authored at least 56 papers between 2005 and 2024.

Collaborative distances:

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

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

Dynamic computation scheduling for hybrid energy mobile edge computing networks.

Ran Bi, Liang Sun, Yiwei Sun, Meng Han, Qingxu Deng

J. Syst. Archit., 2024

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

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

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

Yuxuan Liu, Hongwei Ge, Liang Sun, Yaqing Hou

Neural Comput. Appl., 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

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

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

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

Inf. Sci., 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

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

Hongwei Ge, Zhixin Ge, Liang Sun, Yuxin Wang

Appl. Intell., 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

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

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

Hongwei Ge, Yuxuan Han, Wenjing Kang, Liang Sun

Frontiers Comput. Sci., 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

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

Cooperative Coupled Generative Networks for Generalized Zero-Shot Learning.

Liang Sun, Junjie Song, Ye Wang, Baoyu Li

IEEE Access, 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

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

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory.

Pengfei Cao, Zhongyi Yang, Liang Sun, Yanchun Liang, Mary Qu Yang, Renchu Guan

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

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

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

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

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

Optimizing Retransmission Threshold in Wireless Sensor Networks.

Ran Bi, Yingshu Li, Guozhen Tan, Liang Sun

Sensors, 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

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

Adaptive Filter Based Strategy for Data Collection in Wireless Sensor Networks.

Ran Bi, Liang Sun, Xu Zheng, Guozhen Tan

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 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

2014

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

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

Pattern Recognit., 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

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

2012

A cooperative particle swarm optimizer with statistical variable interdependence learning.

Liang Sun, Shinichi Yoshida, Xiaochun Cheng, Yanchun Liang

Inf. Sci., 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

A Support Vector and K-Means Based Hybrid Intelligent Data Clustering Algorithm.

Liang Sun, Shinichi Yoshida, Yanchun Liang

IEICE Trans. Inf. Syst., 2011

2010

Solving Job Shop Scheduling Problem Using Genetic Algorithm with Penalty Function.

Liang Sun, Xiaochun Cheng, Yanchun Liang

Int. J. Intell. Inf. Process., 2010

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

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