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[1]张崴,冯林,韩影.基于创客教育的创新创业课程实践教学改革 ——以大连理工大学为例[J],创新与创业教育,2020,11(1):126-130
[2]Xu, Shuliang,Liu, Shenglan,Feng, Lin.Fuzzy granularity neighborhood extreme clustering[J],NEUROCOMPUTING,2020,379:236-249
[3]Xu, Shuliang,Feng, Lin,Liu, Shenglan,Qiao, Hong.Self-adaption neighborhood density clustering method for mixed data stream with concept drift[J],ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2020,89
[4]Yu, Yang,Luo, Sen,Liu, Shenglan,Qiao, Hong,Liu, Yang,Feng, Lin.Deep attention based music genre classification[J],NEUROCOMPUTING,2020,372:84-91
[5]Guo, Shuai,Feng, Lin,Feng, Zhan-Bo,Li, Yi-Hao,Wang, Yang,Liu, Sheng-Lan,Qiao, Hong.Multi-view laplacian least squares for human emotion recognition[J],NEUROCOMPUTING,2019,370:78-87
[6]Xu, Shuliang,Liu, Shenglan,Zhou, Jian,Feng, Lin.Fuzzy rough clustering for categorical data[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2019,10(11):3213-3223
[7]Feng, Lin,Xu, Shuliang,Wang, Feilong,Liu, Shenglan,Qiao, Hong.Rough extreme learning machine: A new classification method based on uncertainty measure[J],NEUROCOMPUTING,2019,325:269-282
[8]Liu, Caifeng,Feng, Lin,Wang, Huibing,Wu, Bin.Face Alignment via Multi-Regressors Collaborative Optimization[J],IEEE ACCESS,2019,7:4101-4112
[9]梁冰,冯林.计算机科学拔尖人才培养实验室建设模式探索[J],实验室研究与探索,2018,37(5):278-281,293
[10]Liu, Shenglan,Wu, Jun,Feng, Lin,Luo, Sen,Yan, Deqin.Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction[J],NEUROCOMPUTING,2018,277(,SI):208-217
[11]Li Li,Feng Lin,Wu Jun,Sun Mu-xin,Liu Sheng-lan.Exploiting global and local features for image retrieval[J],JOURNAL OF CENTRAL SOUTH UNIVERSITY,2018,25(2):259-276
[12]Liu, Shenglan,Wu, Jun,Feng, Lin,Qiao, Hong,Liu, Yang,Luo, Wenbo,Wang, Wei.Perceptual uniform descriptor and ranking on manifold for image retrieval[J],INFORMATION SCIENCES,2018,424:235-249
[13]吴振宇,侯冰洋,王辉兵,刘胜蓝,冯林.半监督稀疏近邻保持投影[J],系统工程与电子技术,2018,40(4):934-940
[14]刘洋,冯林,刘胜蓝.Discriminative Bit Selection Hashing in RGB-D based Object Recognition for Robot Vision[J],Assembly Automation,2018,122(9):1-18
[15]杨睿,徐树良,冯林.An Ensemble Extreme Learning Machine for Data Stream Classification[J],algorithms,2018,11(7):1-16
[16]冯林.Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets[J],IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018,34(5):1-17
[17]张崴,冯林,高涵.基于创客教育的创新创业课程实践教学改革[A],2018年中国高校创新创业联盟年会,2018
[18]高涵,冯林,张崴.基于翻转课堂的创新创业教育实践探索[A],2018年中国高校创新创业联盟年会,2018
[19]Liu, Yang,Feng, Lin,Liu, Shenglan,Sun, Muxin.Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement[J],IEEE ACCESS,2018,6:9281-9291
[20]刘洋,冯林,刘胜蓝.An ELM based Local Topology Preserving Hashing[J],International Journal of Machine Learning and Cybernetics,2018,105(12):1-16
[21]Wu, Jun,Feng, Lin,Liu, Shenglan,Sun, Muxin.Image retrieval framework based on texton uniform descriptor and modified manifold ranking[J],JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2017,49:78-88
[22]张崴,高涵,冯林.后MOOC时代在线课程SPOC模式的应用与探索[J],教育现代化,2017,4(40):187-190
[23]Feng, Lin,Yu, Laihang,Zhu, Hai.Spectral embedding-based multiview features fusion for content-based image retrieval[J],JOURNAL OF ELECTRONIC IMAGING,2017,26(5)
[24]梁冰,冯林.面向ACM-ICPC竞赛的计算机人才培养教学与实践方法[J],实验室科学,2017,20(4):229-231
[25]Liu, Shenglan,Feng, Lin,Liu, Yang,Wu, Jun,Sun, MuXin,Wang, Wei.Robust discriminative extreme learning machine for relevance feedback in image retrieval[J],MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING,2017,28(3,SI):1071-1089
[26]吴振宇,刘禹彤,冯林.机器人实践教学体系改革探索[J],实验室研究与探索,2017,36(6):192-195
[27]Wang, Huibing,Feng, Lin,Meng, Xiangzhu,Chen, Zhaofeng,Yu, Laihang,Zhang, Hongwei.Multi-view metric learning based on KL-divergence for similarity measurement[J],NEUROCOMPUTING,2017,238:269-276
[28]Liu, Shenglan,Feng, Lin,Sun, Muxin,Liu, Yang.分组排序多特征融合的图像检索方法[J],计算机研究与发展,2017,54(5):1067-1076
[29]张崴,冯林,李艳,高昕睿.创新方法教育教学中的批判性思维导向作用[J],创新与创业教育,2017,8(2):10-13
[30]Feng, Lin,Cai, Lei,Liu, Yang,Liu, Shenglan.Multi-view spectral clustering via robust local subspace learning[J],SOFT COMPUTING,2017,21(8):1937-1948
[31]李莉,冯林,吴俊,刘胜蓝.一种三结构描述子的图像检索方法[J],西安交通大学学报,2017,51(6):86-91
[32]Liu, Shenglan,Feng, Lin,Wu, Jun,Hou, Gang,Han, Guangjie.Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks[J],COMPUTERS & ELECTRICAL ENGINEERING,2017,58:327-336
[33]冯林,刘胜蓝.A Transferable Framework: Classification and Visualization of MOOC Discussion Threads[A],International Conference on Neural Information Processing,2017,377-384
[34]冯林,刘胜蓝.Heat Analysis of Entrepreneurial Hotspots[A],2017 2nd International Conference on Computer Science and Technology (CST 2017),2017,473-480
[35]冯林,张崴.高校 MOOC 学习行为分析 ——以智慧树平台《创造性思维与创新方法》为例[J],教育现代化,2017
[36]冯林.Classification of Discussion Threads in MOOC Forums Based on Deep Learning[A],2017 2nd International Conference on Wireless,2017
[37]冯林.Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval[J],Signal Image & Video Processing,2017,1:1-8
[38]刘胜蓝,冯林.Concept drift detection for data stream learning based on AOGE and PCA in sensor networks[J],Computers & Electrical Engineering,2017,58(2):327-336
[39]邱铁,冯林.An Efficient Tree-based Self-organizing protocol for Internet of Things[J],IEEE Access,2017,4(6):3535-3546
[40]Feng, Lin,Luo, Sen,Liu, Guochao,Liu, Shenglan.Local Stretch Similarity Measure and Auto Query Expansion for Re-Ranking of Image Retrieval[A],INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE),2017,190:181-187
[41]冯林.Global similarity preserving hashing[J],Soft Computing,2017,1-16
[42]冯林.A Transferable Framework: Classification and Visualization of MOOC Discussion Threads[J],International Conference on Neural Information Processing,2017,377-384
[43]张崴,冯林.基于创新创业人才培养的创新方法课程体系建设[J],黑龙江教育（高教研究与评估）,2017
[44]冯林.Heat Analysis of Entrepreneurial Hotspots[J],DEStech Transactions on Computer Science and Engineering,2017
[45]Liu, Yang,Feng, Lin,Sun, Muxin,Liu, Shenglan.Hashing Based State Variation for Human Motion Segmentation[A],COMPUTER VISION, PT III,2017,773:627-638
[46]Liu, Yiwei,Feng, Lin,Pan, Qiuhui,Tong, Linghui,Zhan, Kaiyu.The Consensus Formation in the Naming Game on Spatial Networks[A],PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017),2017,153:259-262
[47]刘胜蓝,冯林.Manifold Warp Segmentation of Human Action[J],IEEE Transactions on Neural Networks & Learning Systems,2017
[48]吴俊,刘胜蓝,冯林,于来行.基于基元相关性描述子的图像检索[J],计算机研究与发展,2016,52(12):2824-2835
[49]Wang, Huibing,Feng, Lin,Yu, Laihang,Zhang, Jing.Multi-view Sparsity Preserving Projection for dimension reduction[J],NEUROCOMPUTING,2016,216:286-295
[50]Wang, Huibing,Feng, Lin,Liu, Yang.Metric learning with geometric mean for similarities measurement[J],SOFT COMPUTING,2016,20(10):3969-3979
[51]李莉,冯林,吴俊,刘胜蓝.基于半圆形局部二值模式结构相关性描述子的图像检索[J],大连理工大学学报,2016,56(5):532-538
[52]于来行,冯林,张晶,刘胜蓝.自适应融合目标和背景的图像特征提取方法[J],计算机辅助设计与图形学学报,2016,28(8):1250-1259
[53]Wu, Zhenyu,Hu, Guang,Feng, Lin,Wu, Jiping,Liu, Shenglan.Collision avoidance for mobile robots based on artificial potential field and obstacle envelope modelling[J],ASSEMBLY AUTOMATION,2016,36(3):318-332
[54]Wang, Huibing,Feng, Lin,Zhang, Jing,Liu, Yang.Semantic Discriminative Metric Learning for Image Similarity Measurement[J],IEEE TRANSACTIONS ON MULTIMEDIA,2016,18(8):1579-1589
[55]冯林,张晶,吴振宇.基于自组合核的增量分类方法[J],系统工程与电子技术,2016,38(8):1958-1968
[56]王辉兵,冯林,吴振宇.一种基于离散度平衡的降维算法[J],计算机辅助设计与图形学学报,2016,28(6):995-1002
[57]Liu, Yang,Feng, Lin,Liu, Shenglan.Robust Hashing Learning via Multi-View Subspace Learning[A],12th World Congress on Intelligent Control and Automation (WCICA),2016,2016-September:1850-1855
[58]Wu, Jun,Liu, Shenglan,Feng, Lin.Color Binary Correlation descriptor for Image Retrieval[A],12th World Congress on Intelligent Control and Automation (WCICA),2016,2016-September:1837-1841
[59]Li, Li,Feng, Lin,Liu, Shenglan,Liu, Yang.Local Co-Occurrence Pattern for Color and Texture Image Retrieval[A],12th World Congress on Intelligent Control and Automation (WCICA),2016,2016-September:1212-1217
[60]Li, Li,Feng, Lin,Yu, Laihang,Wu, Jun,Liu, Shenglan.Fusion framework for color image retrieval based on bag-of-words model and color local Haar binary patterns[J],JOURNAL OF ELECTRONIC IMAGING,2016,25(2)
[61]冯林.A new target tracking method based on OS-ELM[J],Multidimensional Systems & Signal Processing,2016,0(1):1-18
[62]冯林.Extreme Learning Machine: Local Classication Model for Shape Feature Extraction[J],Neural Computing and Applications,2016,0(27):2095-2105
[63]孙鹏,冯林,金明录,林鸿飞,吴振宇,王开宇.先进制造背景下的创新创业人才培养探索[A],面向先进制造的高等工程教育变革国际会议暨第十一届科教发展战略研讨会,2016,57-63
[64]冯林.The optimal label vector for Convolutional Neural Network[A],WCICA 2016,2016
[65]冯林,王伟.Robust Discriminative Extreme Learning Machine for Relevance feedback in Image Retrieval[J],Multidimensional Systems and Signal Processing,2016,0(0):1-19
[66]李莉,冯林,吴俊,刘胜蓝.半圆形局部二值模式结构相关性的图像检索[J],大连理工大学学报,2016,56(5):532-538
[67]梁冰,冯林.面向ACM-ICPC竞赛的计算机人才培养教学与实践方法[J],课程教育研究（新教师教学）,2016,15:260-261
[68]Wu, Bin,Lin, Hai-Zhuo,Feng, Lin.Concept Drift Based on Subspace Learning for Intrusion Detection[A],International Conference on Computer Engineering and Information System (CEIS),2016,52:421-425
[69]Qiu, Tie,Liu, Xize,Feng, Lin,Zhou, Yu,Zheng, Kaiyu.An Efficient Tree-Based Self-Organizing Protocol for Internet of Things[J],IEEE ACCESS,2016,4:3535-3546
[70]Yao, Cuili,Qu, Yue,Jin, Bo,Guo, Li,Li, Chao,Cui, Wenjuan,Feng, Lin.A Convolutional Neural Network Model for Online Medical Guidance[J],IEEE ACCESS,2016,4:4094-4103
[71]Yu, Laihang,Feng, Lin,Chen, Chen,Qiu, Tie,Li, Li,Wu, Jun.A Novel Multi-Feature Representation of Images for Heterogeneous IoTs[J],IEEE ACCESS,2016,4:6204-6215
[72]李艳,张崴,冯林.高校教师功利化现象分析[J],学理论,2015,35:113-114
[73]Feng, Lin,Wu, Jun,Liu, Shenglan,Zhang, Hongwei.Global Correlation Descriptor: A novel image representation for image retrieval[J],JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2015,33:104-114
[74]冯林,乔婵,张崴.批判性思维教学的实践与思考[J],煤炭高等教育,2015,05:106-109
[75]Feng, Lin,Wang, Huibing,Liu, Shenglan,Zhang, Hongwei.Locality Structured Sparsity Preserving Embedding[J],INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2015,29(6)
[76]Du M.,Zhang J.,Wu B.,Feng L..A robust clustering algorithm based on extreme learning machine[J],Journal of Information and Computational Science,2015,12(13):4951-4958
[77]张晶,冯林.针对动态非平衡数据集鲁棒的在线极端学习机[J],计算机研究与发展,2015,52(7):1487-1498
[78]乔婵,张崴,冯林.多元治理视角下高等教育评估多主体参与探究[J],黑龙江教育（高教研究与评估版）,2015,4:72-73
[79]Feng L.,Hao X.,Wang H..GLPCA: dimensionality reduction for image retrieval[J],Journal of Computational Information Systems,2015,11(6):2269-2277
[80]王乐,冯林,王水.不产生候选项集的TOP-K高效用模式挖掘算法[J],计算机研究与发展,2015,52(2):445-455
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