Zhao Xinfeng

Name: Zhao Xinfeng

Gender: Male

Degrees: Ph.D.

Title: Associate professor

E-mail : zxf@bjut.edu.cn

Current Professional Societies

Member of China Computerof Federation

Research Areas

Machine learning and Medical image processing

Honors

l Second Prize of Science and Technology Award of Ministry of Education(ranked fourth),2015

l SecondPrize of Science and Technology Award of Chinese Academy of Traditional Chinese Medicine(ranked fifth),2019

l Third prize of Beijing Science and Technology Award (ranked fifth),2011

Publications

l Zhang Xinfeng, Guo Yutong, Cai Yiheng, Sun Meng. Tongue image segmentation algorithm based on deep convolutional neural network and fully conditional random fields,Journal of Beijing University of Aeronautics and Astronautics,45(12):2364-2374, 2019 (In Chinese).

l Zhang Xinfeng,Yan Kunpeng,Zhao Xun.Handwriting Chinese Text Recognition Using BiLSTM Network, JOURNAL OF NANJING NORMALUNIVERSITY( Natural Science Edition),42(3):58-64, 2019 (In Chinese).

l Wang, Bochao,Zhang, Xinfeng,etal.Optical Character Detection and Recognition for Image-Based in Natural Scene, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),360-369,2018

l Xinfeng Zhang,Yazhen Wang,Guangqin Hu,and Jing Zhang.An Assessment Method of Tongue Image Quality Based on Random Forest in Traditional Chinese Medicine. Advanced Intelligent Computing Theories and Applications,2015, 730-737. Fuzhou, China, Aug.20-23,2015

l Xinfeng Zhang, Mingjun Gui.Study on Tongue Image Color Description Based on Label Distribution Learning[C].The 2015 8th International Conference on BioMedical Engineering and Informatics, Shenyang, China, Oct.14-16,2015

l Book: Collection and analysis of tongue image in traditional Chinese Medicine(Ranked Third), Beijing University of Technology Press, 2007(In Chinese)

Personal Statement

Dr. Zhang is a faculty member from the Faculty of Information Technology in Beijing University of Technology, China. His research interest includes machine learning and medical image processing. At present he is a core member in theNational Key Research and Development Project (Research and development of intelligent tongue diagnosis system forTraditional Chinese Medicine,2017YFC1703300). He used to be a visiting scholar at the Sydney University, Australia in 2007.