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[1]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
[2]Yu, Chao,Wang, Xin,Xu, Xin,Zhang, Minjie,Ge, Hongwei,Ren, Jiankang,Sun, Liang,Chen, Bingcai,Tan, Guozhen.Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic...[J],IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2020,21(2):735-748
[3]Ding, Nan,Ma, Haoxuan,Zhao, Chuanguo,Ma, Yanhua,Ge, Hongwei.Driver's emotional state-based data anomaly detection for vehicular Ad Hoc networks[A],2019,121-126
[4]Ding, Nan,Ma, Haoxuan,Zhao, Chuanguo,Ma, Yanhua,Ge, Hongwei.Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving ...[J],SENSORS,2019,19(22)
[5]Ge, Hongwei,Sun, Liang,Yu, Chao,Sun, Weiting,Zhao, Mingde,Zhang, Kai.Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation[A],2019,2019-July
[6]Ge, Hongwei,Zhao, Mingde,Zhang, Kai,Sun, Liang.Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning[A],2019,2019-July
[7]Ge, Hongwei,Zhang, Qiang,Chen, C. L. Philip,Zhao, Mingde,Sun, Liang,Wang, Zhen,Tan, Guozhen.A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and ...[J],IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION,2019,23(4):572-586
[8]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
[9]Sun, Liang,Ge, Hongwei,Kang, Wenjing.Non-negative matrix factorization based modeling and training algorithm for multi-label learnin...[J],FRONTIERS OF COMPUTER SCIENCE,2019,13(6):1243-1254
[10]Ge, Hongwei,Zhao, Mingde,Zhang, Kai,Hou, Yaqing.A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware ad...[J],APPLIED SOFT COMPUTING,2019,82
[11]Hou, Y.,Jiang, N.,Ge, H.,Zhang, Q.,Qu, X.,Feng, L.,Gupta, A..Memetic Multi-agent Optimization in High Dimensions using Random Embeddings[A],2019,135-141
[12]Ge, Hongwei,Yu, Jinghong,Sun, Liang,Wang, Zhen,Yao, Yao.Discovery of DNA Motif Utilising an Integrated Strategy Based on Random Projection and Particle...[J],MATHEMATICAL PROBLEMS IN ENGINEERING,2019,2019
[13]Ge, Hongwei,Sun, Weiting,Yao, Yao,Zhao, Mingde.Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Rep...[J],IEEE ACCESS,2019,7:13433-13444
[14]Ge, Hongwei,Song, Yumei,Wu, Chunguo,Ren, Jiankang,Tan, Guozhen.Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control[J],IEEE ACCESS,2019,7:40797-40809
[15]Yu, Chao,Li, Yuchen,Ge, Hongwei,Ren, Jiankang,Yang, Tianpei,Zhu, Wenxuan,Wang, Dongxu.Adaptively Shaping Reinforcement Learning Agents via Human Reward[A],2018,11012:85-97
[16]Ge, Hongwei,Yao, Yao,Chen, Zheng,Sun, Liang.Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image...[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 G...[A],2018,11012:191-203
[18]葛宏伟,孙玮婷,赵明德,姚瑶.Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Repre...[J],IEEE Access,2019,7:13433-13444
[19]Hao, Zhangang,Ge, Hongwei,Wang, Long.Visual attention mechanism and support vector machine based automatic image annotation[J],PLOS ONE,2018,13(11):e0206971
[20]Lin, Kai,Wang, Di,Xia, Fuzhen,Ge, Hongwei.Device Clustering Algorithm Based on Multimodal Data Correlation in Cognitive Internet of Thing...[J],IEEE INTERNET OF THINGS JOURNAL,2018,5(4):2263-2271
[21]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
[22]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
[23]葛宏伟,孙亮,王振,谭国真,张强.A many-objective evolutionary algorithm with two interacting processes: cascade clustering and re...[J],IEEE Transactions on Evolutionary Computation,2018
[24]余超,葛宏伟,任健康.Adaptively Shaping Reinforcement Learning Agents via Human Reward[A],2018,85-97
[25]余超,任健康,葛宏伟,孙亮.Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Gra...[A],2018,191-203
[26]孙亮,葛宏伟.Non-negative matrix factorization-based modeling and training algorithm for multi-label learning[J],Frontiers of Computer Science,2018
[27]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 Da...[A],2018,2753-2755
[28]葛宏伟,姚瑶,陈政,孙亮.Unsupervised Transformation Network Based on GANs for Target-domain Oriented Multi-domain Image T...[A],2018,273-282
[29]Ge, Hongwei,Yan, Zehang,Dou, Jing,Wang, Zhen,Wang, ZhiQiang.A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multivie...[J],MATHEMATICAL PROBLEMS IN ENGINEERING,2018,2018
[30]Zhao, Mingde,Ge, Hongwei,Han, Hongyan,Sun, Liang.A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution[A],2018,39-46
[31]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
[32]Sun, Liang,Kang, Wenjing,Han, Yuxuan,Ge, Hongwei.Multi-View Transformation via Mutual-Encoding InfoGenerative Adversarial Networks[J],IEEE ACCESS,2018,6:43315-43326
[33]Ge, Hongwei,Sun, Liang,Yu, Jinghong.Fast batch searching for protein homology based on compression and clustering[J],BMC BIOINFORMATICS,2017,18(1):508
[34]Ge, Hongwei,Sun, Liang,Tan, Guozhen,Chen, Zheng,Chen, C. L. Philip.Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale...[J],IEEE TRANSACTIONS ON CYBERNETICS,2017,47(9,SI):2809-2823
[35]杨鑫,王大维,王宇新,白鑫,葛宏伟,夏浩.互补MOOC的主动式课堂建设方法探究[J],现代教育技术,2017,27(1):115-120
[36]Ge, Hongwei,Sun, Liang,Yao, Yao,Yu, Jinghong.An automatic motif recognition algorithm in DNA sequences based on particle swarm optimization ...[A],2017,2017-January:2241-2243
[37]Sun, Liang,Ge, Hongwei,Weiting Sun.NMF-Based Stochastic Models for Multi-Label Propagation[A],2017,1141-1147
[38]Hao, Zhangang,Ge, Hongwei,Gu, Tianpeng.Automatic Image Annotation Based on Particle Swarm Optimization and Support Vector Clustering[J],MATHEMATICAL PROBLEMS IN ENGINEERING,2017,2017
[39]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
[40]Ge, Hongwei,Sun, Liang,Chen, Xin,Liang, Yanchun.An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop ...[J],INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS,2016,9(5):917-931
[41]Ge, Hongwei,Sun, Liang,Yang, Xin.Adaptive Hybrid Differential Evolution with Circular Sliding Window for Large Scale Optimizatio...[A],2016,87-94
[42]Ge Hongwei,Sun Liang.Intelligent Scheduling in Flexible Job Shop Environments Based on Artificial Fish Swarm Algorit...[A],2016,3230-3237
[43]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
[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]Ge, Hongwei,Sun, Liang,Yu, Jinghong.Enhancing protein homology batch search algorithm with sequence compression and clustering[A],2016,1901-1903
[46]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
[47]Ge, Hongwei,Sun, Liang,Yang, Xin,Yoshida, Shinichi,Liang, Yanchun.Cooperative differential evolution with fast variable interdependence learning and cross-cluste...[J],APPLIED SOFT COMPUTING,2015,36:300-314
[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,Ma, Zheng,Sun, Liang.A Hierarchical Particle Swarm Optimizer With Random Social Cognition For Large Scale Global Opt...[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.,Zhang, Q.,Wang, F..Solving traffic assignment problem by an improved particle swarm optimization and a segmented imp...[J],Lecture Notes in Electrical Engineering,2012,180 LNEE:79-86
[53]Ge H.,Sun L..A bacterial foraging strategy-based recurrent neural network for identifying and controlling nonl...[A],2012,1127-1131
[54]葛宏伟,谭国真.A Cooperative Intelligent Approach for Job-shop Scheduling Based on Bacterial Foraging Strategy a...[J],nd Particle Swarm Optimization., Computational Intelligence Systems in Industrial Engineering,2012,6:363-383
[55]Lin, Kai,Rodrigues, Joel J. P. C.,Ge, Hongwei,Xiong, Naixue,Liang, Xuedong.Energy Efficiency QoS Assurance Routing in Wireless Multimedia Sensor Networks[J],IEEE SYSTEMS JOURNAL,2011,5(4):495-505
[56]Sun L.,Yoshida S.,Ge H.,Liang Y..Support vector description of clusters for image annotation[A],2011
[57]Tan G.,Wang Y.,Ge H..A new traffic-signal control for large multi-branch roundabouts[A],2011,1:7-11
[58]葛宏伟,谭国真.Recurrent Neural Network-Based Adaptive Controller Design for Nonlinear Dynamical Systems[J],Recurrent Neural Networks and Soft Computing,2011,1:115-132
[59]丁男,谭国真,葛宏伟.Distributed Algorithm for Traffic Data Collection and Data Quality Analysis Based on Wireless Sen...[J],International Journal of Distributed Sensor Networks,2011,20(11):1-9
[60]Lin K.,Liu T.,Ge H..A clustering hierarchy based on data fusion in wireless sensor networks[A],2009
[61]Ge, Hong-Wei,Du, Wen-Li,Qian, Feng,Liang, Yan-Chun.Identification and control of nonlinear systems by a time-delay recurrent neural network[J],NEUROCOMPUTING,2009,72(13-15):2857-2864
[62]Lin K.,Li K.,Ge H.,Shen Y..An equilibrium multi-hop cluster hierarchy for wireless sensor networks[A],2009,703-706
[63]徐旭,葛宏伟,梁艳春.用于动力系统控制的时滞神经网络[J],吉林大学学报. 工学版,2009,39(4):1047-1051
[64]葛宏伟,李小琳,梁艳春,何湘东.基于免疫粒子群优化的一种动态递归神经网络辨识与控制非线性系统[J],吉林大学学报（工学版）,2008,38(4):858-864
[65]葛宏伟.Identification and control of nonlinear systems by a dissimilation particle swarm optimization-ba...[J],Nonlinear Analysis: Real World Applications,2008,9(4):1345-1360
[66]葛宏伟.An effective PSO-and-AIS-based hybrid intelligent algorithm for job-shop scheduling[J],IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans,2008,38(2):358-368
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