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                    LI Haifang

                    Name: LI Haifang

                    Title: Professor

                    Address: College of Information and Computer, Taiyuan University of Technology, Shanxi Province, China

                    Cell Phone No.: 13754812795

                    Email: lihaifang@tyut.edu.cn

                    Major Selection: Computer Application Technology

                    Research Direction: Computer Vision and Big Data Processing, Brain Cognitive Model and Brain Disease Mechanism Research

                     

                    Publication:

                    [1]          Li, H.F., Yao, R., Xia, X.L., Yin, G.M., Deng, H.X., Yang, P.F., (2019). Adjustment of Synchronization Stability of Dynamic Brain-Networks Based on Feature Fusion. Frontiers In Human Neuroscience 1315.

                    [2]          Gang L; Haifang L; Ling Z, Novel model using kernel function and local intensity information for noise image segmentation, Tsinghua Science and Technology, 2018.07.02 , 23(3)303~314, SCIE, 第一标注

                    [3]          Cheng C , Fan L , Xia X , Haifang L ,et al. Rostro-caudal organization of the human posterior superior temporal sulcus revealed by connectivity profiles[J]. Human Brain Mapping, 2018.

                    [4]          Hongxia Deng; Han Li; Sha Chang; Xu Jie; Haifang Li, Feature binding pulse-coupled neural network model using a double colour space, International Journal of Computational Science and Engineering, 2018.09 , 16(2)1742~7193, EI, 第一标注

                    [5]          Zhang, Ling(#); Peng, Xinguang; Li, Gang; Li, Haifang; Li, G(*), A novel active contour model for image segmentation using local and global region-based information, Machine Vision and Applications, 2017.02 , 28(1-2)75~89, SCIE, 第一标注

                    [6]          Yang YL,Deng HX,Xing GY,Li HF*. Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state. NEURAL REGENERATION RESEARCH,10,pp:298-307, 2015 (SCI)

                    [7]          Yang, YL ,Guo, H ,Tian, T, Li, HF *. Link Prediction in Brain Networks Based on a Hierarchical Random Graph Model. TSINGHUA SCIENCE AND TECHNOLOGY. Vol: 20,pp: 306-315, 2015 (SCI)

                    [8]          Xia xiaoluan(#); Lingzhong Fan(#); Chen Cheng; Simon B. Eickhoff; Junjie Chen; Haifang Li(*); Tianzi Jiang(*), Multimodal connectivity-based parcellation reveals a shell-core dichotomy of the human nucleus accumbens, Human brain mapping, 2017 , 38(8)3878~3898, SCIE, 第一标注

                    [9]          Yan-li Yang; Hao Guo; Jun-jie Chen; Hai-fang Li(*), Research on modeling approach of brain function network based on anatomical distance, Journal of Shanghai Jiaotong University, 2015.12 , 20(6)758~762, 其他, 第三标注

                    [10]          Jie Xiang; Conggai Li; Haifang Li; Rui Cao; Bin Wang; Xiaohong Han; Junjie Chen, The detection of epileptic seizure signals based on fuzzy entropy, Journal of Neuroscience Methods, 2015.3.30 , 24318~25, SCIE, 第三标注

                     

                    Authorized patent:

                    [11]          Chinese Patent, Deng Hongxia; Li Haifang; Guo Hao; Xiang Jie; Cao Rui; Li Wei; Yang Xiaofeng, Block Face Recognition Method Based on Weighted Strength PCNN Model, Authorization, 2018.07, CN201710119765.0

                    [12]          Chinese Patent, Guo Hao; Cao Rui; Chen Yongle; Xiang Jie; Li Haifang; Chen Junjie, A Brain Block Network Optimization Method Based on Stochastic Blocking Model, Authorization, 2017, CN201610592788.9

                    [13]          Chinese Patent, Cao Rui; Xiang Jie; Guo Hao; Li Haifang; Chen Junjie; Guo Fayun, A classification method for epilepsy EEG signals based on fuzzy entropy, authorization, 2016.9.21-2036.5.4, CN201610289472.2

                    [14]          Chinese Patent, Xiang Jie; Guo Hao; Chen Junjie; Li Haifang; Deng Hongxia; Wang Huiqing; Cao Rui, Functional Magnetic Resonance Image Classification Method Based on Structural Features of Brain Network Module, Authorization, 2014.6.25-2034.3.19, CN201410101262. 7

                     

                    Applied patent:

                    [1]          Chinese patent, Li Haifang; Yin Guimei; Yao Rong, Dynamic brain network node consistency behavior analysis method based on EEG signals, application, 2018.3.28, 201810261566.8

                    [2]          Chinese patent, Li Haifang; Yang Xiaofeng, A pedestrian re-identification method based on multi-view image feature decomposition, application, 2018.11.21, 201811388865.4

                    [3]          Chinese patent, Li Haifang; Wang Zhe, A high-level semantic recognition method for image fusion based on deep network, application, 2018.7.18, 201810788111.1

                    [4]          Chinese patent, Li Haifang; Yang Pengfei, a micro-state based brain function network construction method, application, 2018.5.20, 201810475843.5

                    [5]          Chinese patent, Li Haifang; Yang Xiong, A complex network construction and analysis method for micro-state EEG time domain characteristics, application, 2018.11.7, 201811316577.

                     

                    Teaching Material:

                    [1]          Multimedia Technology and Application (Third Edition), "Eleventh Five-Year" National Planning Textbook, Science Press, 2013, Associate Editor

                    [2]          Multimedia Technology and Application Practice, People's Posts and Telecommunications Press, 2014, Editor-in-Chief

                    ?Taiyuan University of Technology

                    Taiyuan University of Technology,No.79 West Street Yingze,Taiyuan,Shanxi,P.R.China 030024

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