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[1] 葛宏伟.Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification[A],2021
[2] Cao, Pengfei.Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory[J],NEURAL PROCESSING LETTERS,2021,50(1):103-119
[3] 葛宏伟.Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization[J],APPLIED SOFT COMPUTING,2021,97
[4] 葛宏伟.Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification[A],2021
[5] Ge, Hongwei,Yan, Zehang,Zhang, Kai,Zhao, Mingde,Sun, Liang.Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style[A],2019,1754-1763
[6] Sun, Liang,Wang, Ye,Song, Junjie,Li, Baoyu.Cooperative Coupled Generative Networks for Generalized Zero-Shot Learning[J],IEEE ACCESS,2020,8:119287-119299
[7] Ge, Hongwei,Zhang, Kai,Sun, Liang,Tan, Guozhen.Exploring Latent Information for Unsupervised Person Re-Identification by Discriminative Learning [J],IEEE ACCESS,2020,8:44748-44759
[8] Yu, Chao,Ge, Hongwei,Ren, Jiankang,Sun, Liang,Chen, Bingcai,Tan, Guozhen,Wang, Xin,Xu, Xin,Zhang, Minjie.Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Co[J],IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2020,21(2):735-748
[9] Ge, Hongwei,Sun, Weiting,Zhao, Mingde,Zhang, Kai,Sun, Liang,Yu, Chao.Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation[A],2019,2019-July
[10] Ge, Hongwei,Zhao, Mingde,Zhang, Kai,Sun, Liang.Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning[A],2019,2019-July
[11] Ge, Hongwei,Zhao, Mingde,Sun, Liang,Wang, Zhen,Tan, Guozhen,Zhang, Qiang,Chen, C. L. Philip.A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Ref[J],IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION,2019,23(4):572-586
[12] Ge, Hongwei,Yan, Zehang,Yu, Wenhao,Sun, Liang.An attention mechanism based convolutional LSTM network for video action recognition[J],MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(14):20533-20556
[13] Sun, Liang,Ge, Hongwei,Kang, Wenjing.Non-negative matrix factorization based modeling and training algorithm for multi-label learning[J],FRONTIERS OF COMPUTER SCIENCE,2019,13(6):1243-1254
[14] Ge, Hongwei,Yu, Jinghong,Sun, Liang,Wang, Zhen,Yao, Yao.Discovery of DNA Motif Utilising an Integrated Strategy Based on Random Projection and Particle Sw[J],MATHEMATICAL PROBLEMS IN ENGINEERING,2019,2019
[15] Ge, Hongwei,Zhang, Kai,Wu, Chunguo,Sun, Liang.Cooperative differential evolution framework with utility-based adaptive grouping for large-scale [J],ADVANCES IN MECHANICAL ENGINEERING,2019,11(3)
[16] Ge, Hongwei,Yao, Yao,Chen, Zheng,Sun, Liang.Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image Tr[A],2019,11362:398-413
[17] Yu, Chao,Wang, Dongxu,Ren, Jiankang,Ge, Hongwei,Sun, Liang.Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Grap[A],2018,11012:191-203
[18] Ge, Hongwei,Sun, Keyi,Sun, Liang,Zhao, Mingde,Wu, Chunguo.A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Dat[A],2018,2753-2755
[19] 孙亮,韩毓璇,康文婧,葛宏伟.基于生成对抗网络的多视图学习与重构算法[J],自动化学报,2018,44(5):819-828
[20] 王雪莲,葛宏伟,孙亮.基于典型相关子空间与K邻近的图像自动注释算法[J],鲁东大学学报（自然科学版）,2018,34(2):97-104
[21] 余超,任健康,葛宏伟,孙亮.Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs[A],2018,191-203
[22] 葛宏伟,孙亮,王振,谭国真,张强.A many-objective evolutionary algorithm with two interacting processes: cascade clustering and refer[J],IEEE Transactions on Evolutionary Computation,2018
[23] 孙亮,葛宏伟.Non-negative matrix factorization-based modeling and training algorithm for multi-label learning[J],Frontiers of Computer Science,2018
[24] 葛宏伟,孙克乙,孙亮,赵明德,吴春国.A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data[A],2018,2753-2755
[25] 葛宏伟,姚瑶,陈政,孙亮.Unsupervised Transformation Network Based on GANs for Target-domain Oriented Multi-domain Image Tran[A],2018,273-282
[26] Zhao, Mingde,Ge, Hongwei,Han, Hongyan,Sun, Liang.A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution[A],2018,39-46
[27] Ge, Hongwei,Yao, Yao,Chen, Zheng,Sun, Liang.Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation[J],IEEE ACCESS,2018,6:61342-61350
[28] Sun, Liang,Han, Yuxuan,Ge, Hongwei,Kang, Wenjing.Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks[J],IEEE ACCESS,2018,6:43315-43326
[29] Ge, Hongwei,Sun, Liang,Yu, Jinghong.Fast batch searching for protein homology based on compression and clustering[J],BMC BIOINFORMATICS,2017,18(1):508
[30] Ge, Hongwei,Sun, Liang,Tan, Guozhen,Chen, Zheng,Chen, C. L. Philip.Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Op[J],IEEE TRANSACTIONS ON CYBERNETICS,2017,47(9,SI):2809-2823
[31] Ge, Hongwei,Sun, Liang,Yao, Yao,Yu, Jinghong.An automatic motif recognition algorithm in DNA sequences based on particle swarm optimization and[A],2017,2017-January:2241-2243
[32] Sun, Liang,Ge, Hongwei,Weiting Sun.NMF-Based Stochastic Models for Multi-Label Propagation[A],2017,1141-1147
[33] Yu, Chao,Chen, Yatong,Lv, Hongtao,Ren, Jiankang,Ge, Hongwei,Sun, Liang.Neural Learning for the Emergence of Social Norms in Multiagent Systems[A],2017,40-45
[34] Bi, Ran,Sun, Liang,Zheng, Xu,Tan, Guozhen.Adaptive Filter based Strategy for Data Collection in Wireless Sensor Networks[A],2016,317-324
[35] Ge, Hongwei,Sun, Liang,Chen, Xin,Liang, Yanchun.An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Sch[J],INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS,2016,9(5):917-931
[36] Ge, Hongwei,Sun, Liang,Yang, Xin.Adaptive Hybrid Differential Evolution with Circular Sliding Window for Large Scale Optimization[A],2016,87-94
[37] Ge Hongwei,Sun Liang.Intelligent Scheduling in Flexible Job Shop Environments Based on Artificial Fish Swarm Algorithm [A],2016,3230-3237
[38] Bi, Ran,Li, Yingshu,Tan, Guozhen,Sun, Liang.Optimizing Retransmission Threshold in Wireless Sensor Networks[J],SENSORS,2016,16(5)
[39] 孙亮,徐海浪,葛宏伟.保证全局收敛的随机粒子群新算法[J],吉林大学学报（工学版）,2016,47(2):615-623
[40] 刘明剑,谭国真,魏欣,丁男,孙亮.基于禁忌搜索的交叉路口自治车辆调度方法[J],中国公路学报,2016,29(2):123-129
[41] Sun, Liang,Ge, Hongwei,Wang, Limin.A coevolutionary bacterial foraging model using pso in job-shop scheduling environments[J],International Journal of Grid and Distributed Computing,2016,9(9):379-394
[42] 毕冉,谭国真,孙亮.Optimizing Retransmission Threshold in Wireless Sensor Networks. Sensors[J],Sensors,2016,16(5):665-685
[43] Ge, Hongwei,Sun, Liang,Yu, Jinghong.Enhancing protein homology batch search algorithm with sequence compression and clustering[A],2016,1901-1903
[44] Sun, Liang,Ge, Hongwei,Wang, Limin.Convergent stochastic differential evolution algorithms[J],International Journal of Hybrid Information Technology,2016,9(7):191-206
[45] 谭国真,孙亮.基于交叉路口道路时空网格的车辆碰撞预警算法[J],北京邮电大学学报,2016,38(2):38-44
[46] Ge, Hongwei,Sun, Liang,Yang, Xin,Yoshida, Shinichi,Liang, Yanchun.Cooperative differential evolution with fast variable interdependence learning and cross-cluster m[J],APPLIED SOFT COMPUTING,2015,36:300-314
[47] 刘明剑,谭国真,钱经纬,孙亮.基于交叉路口道路时空网格的车辆碰撞预警方法研究[J],北京邮电大学学报,2015,38(2):38-44
[48] Sun, Liang,Ge, Hongwei,Guo, Xiaoli.An Algorithm with User Ranking for Measuring and Discovering Important Nodes in Social Networks[A],2014,945-949
[49] Ge, HongWei,Sun, Liang,Ma, Zheng.A Hierarchical Particle Swarm Optimizer With Random Social Cognition For Large Scale Global Optimi[A],2014,256-261
[50] 葛宏伟,孙亮,丁琦.面向实践与创新能力培养的程序语言多元化教学模式探索[J],教育教学论坛,2014,15:210-211
[51] Sun, Liang,Ge, Hongwei,Yoshida, Shinichi,Liang, Yanchun,Tan, Guozhen.Support vector description of clusters for content-based image annotation[J],PATTERN RECOGNITION,2014,47(3):1361-1374
[52] Ge H.,Sun L..A bacterial foraging strategy-based recurrent neural network for identifying and controlling nonline[A],2012,1127-1131
[53] Sun L.,Shen Y..A highly available spectrum allocation service in dynamic spectrum market[A],2010
[54] Han M.,Sun L..EEG signal classification for epilepsy diagnosis based on AR model and RVM[A],2010,PART 2:134-139
[55] Cooperative differential evolution with fast variable interdependence learning and cross-cluster mut[J],Applied Soft Computing,2015,36:300-314
[56] Convergent stochastic differential evolution algorithms[J],International Journal of Hybrid Information Technology,2019,9(7):191-206
[57] An efficient artificial fish model with estimation of distribution for job shop scheduling,International Journal of Computational Intelligence Systems,2016,9(5):917-931
[58] Optimizing retransmission threshold in wireless sensor networks,Sensors,2016,16(5):1-21
[59] An algorithm with user ranking for measuring and discovering important nodes in social networks[C],the 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014,2014,945-949
[60] Adaptive filter based strategy for data collection in wireless sensor networks[C],IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom),2016
[61] Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Opti[J],IEEE Transactions on Cybernetics,2019,47(9):2809-2823
[62] A coevolutionary bacterial foraging model using PSO in job-shop scheduling environments,International Journal of Grid and Distributed Computing,2019,9(9):379-394
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