Lv Shengfu

   

Personal profile

Name: Lv Shengfu

Gender: Male

Degrees: Ph.D.

Title: Professor

E-mail: lusf@bjut.edu.cn

Current Professional Societies

 

  1. Deputy Director of the Beijing International Collaboration Base on Brain Informatics and Wisdom Services;

     

  2. Vice-President of Institute of Complex Medical Engineering (ICME);

     

  3. Member of IEEE Systems, Man, and Cybernetics Society Election

Research Areas

  1. artificial intelligence and pattern recognition;

     

  2. affective recognition and affective computing;

     

  3. automatic diagnosis method and its application in depression.

 Honors

  1. Outstanding Supervisor of Master's Degree Thesis of Beijing University of Technology, 2017

Publications

  1. Lu Shengfu, Liu Sa, Li Mi*, Shi Xin, Li Richeng, Depression classification model based on emotionally related eye-movement data and kernel ELM, Journal of Medical Imaging and Health Informatics, 2020, in press.

     

  2. Lu Shengfu, Xu Jiying, Li Mi*, Xue Jia, Lu Xiaofeng, Feng Lei, Fu Bingbing, Wang Gang, Zhong Ning, Hu Bin, Attentional bias scores in patients with depression and effects of age: a controlled, eye-tracking study, Journal of International Medical Research 45 (2017) 1518-1527.

     

  3. Li Mi, Cao Lei, Zhai Qian, Li Peng, Liu Sa, Li Richeng, Feng Lei, Wang Gang, Hu Bin, Lu Shengfu*, Method of depression classification based on behavioral and physiological signals of eye movement, Complexity 4174857 (2020) 1-9.

     

  4. Li Mi, Chen Huan, Shi Xin, Zhang Ming, Lu Shengfu*, A multi-information fusion “triple variables with iteration” inertia weight PSO algorithm and its application, Applied Soft Computing 84 (2019) 105677.

     

  5. Li Mi, Chen Huan, Wang Xiaodong, Zhong Ning*, Lu Shengfu*, An improved particle swarm optimization algorithm with adaptive inertia weight, International Journal of Information Technology & Decision Making 18 (2019) 833-866.

 

  1. Li Mi, Xu Hongpei, Lu Shengfu*, Neural basis of depression related to a dominant right hemisphere: a resting-state fMRI study, Behavioral Neurology 5024520 (2018) 1-10.

     

  2. Li Mi, Cao Lei, Liu Dachao, Li Leilei, Lu Shengfu*. Deep learning based transfer learning for possible facial psychological expression recognition, Journal of Medical Imaging and Health Informatics 8 (2018) 1478-1485.

     

  3. Li Mi, Zhang Ming, Chen Huan, Lu Shengfu*, A method of biomedical information classification based on particle swarm optimization with inertia weight and mutation, Open Life Science 13 (2018) 355-373.

     

  4. Li Mi, Liu Xingwang, Lu Shengfu *, Wang Xiaodong, Zhong Ning. A method of depression recognition based on visual information, Journal of Medical Imaging and Health Informatics 7 (2017) 1572-1579.

     

  5. Li Mi, Lu Shengfu, Wang Gang, Zhong Ning, Affective bandwidth measurement and affective disorder judgment method, American Invention Patent, 14/731,928, 2017-01-03.

Personal Statement

Lu Shengfu, professor and master supervisor, is the deputy director of the Beijing International collaboration base on brain informatics and wisdom services, and the responsible professor of department of automation, faculty of information technology of Beijing University of Technology. He has been engaged in teaching for more than 30 years. He has presided one subproject of National 973 Program, and responsible for dozens of projects including key/general projects of the National Natural Science Foundation of China, key project of the International Science & Technology Cooperation Program of China, and Beijing Natural Science Foundation, etc. He has published more than 100 SCI/EI papers on international major journals or conferences, applied for more than 20 international and Chinese invention patents (obtained 1 American invention patent and 7 Chinese invention patents authorization), and 7 software copyrights.