• Students
  • Faculty
  • Jobs
  • 中文
Home > Faculty > 正文

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



[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 YLDeng HXXing GYLi 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 RESEARCH10pp: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