Li, F (Li, Feng) Xi, QG (Xi, Qinggang) Li, F (Li, Feng) Yuan, LN (Yuan, Lina) Zhang, K (Zhang, Kun) Li, WQ (Li, Wenqing) Li, F (Li, Feng) Xi, QG (Xi, QingGang) Li, F (Li, Feng) [1] ; Xi, QG (Xi, Qinggang) [1]，Research and implementation of a fabric printing detection system based on a field programmable gate array and deep neural network，TEXTILE RESEARCH JOURNAL，vol 92,NO 7-8，,8,P1060-1078,APR 2022(SCI)
2 Li, F (Li, Feng) [1] ; Yuan, LN (Yuan, Lina) [1] ; Zhang, K (Zhang, Kun) [1] ; Li, WQ (Li, Wenqing) [1], A defect detection method for unpatterned fabric based on multidirectional binary patterns and the gray-level co-occurrence matrix, TEXTILE RESEARCH JOURNAL,Vol 90, No.7-8 P776-796.APR 2020.
3 Li, F (Li, Feng) [1] ; Xi, QG (Xi, QingGang) [1],DefectNet: Toward Fast and Effective Defect Detection,IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,vol 70, 2021.
4 Li Feng; Wei Zhiqi; Li Ming, The Auto-Detection and Diagnose of the Mobile Electrocardiogram, JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS Vol 5 No: 4 Page: 841-847, AUG 2015. (SCI)
5 Lifeng, Liu Xiaoqiang, The dynamic model of lateral inhibition networkand it’s application, Neural Comput & Applic (2013) 22,:125–131,DOI 10.1007/s00521-013-1379-x.(SCI)
6 Wang Mei, Li feng,Collaborative visual modeling for automatic image annotation via sparse model coding,NEUROCOMPUTING Volume: 95 Special Issue: SI Pages: 22-28 Published: OCT 15 2012. (SCI)
7 Li Feng, Cheng Meili, A feasibility research on waveform recognition algorithm based on geometric characteristic, Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 (CCF-B).
8 Li Feng, Li Jigang, Studying of classifying Chinese SMS messages based on Bayesian classification, Journal of Theoretical and Applied Information Technology, v 44, n 1, p 141-146, October 2012.
9 Li Feng,Wu Guowen, A network model on the processing of sound wave, Journal of Donghua University (English Edition), v 25, n 2, p 225-229, 2008.
10 Li Feng, Liu xiaoqiang, Simulation of escape from fire based on agent and cellular automaton, Xitong Fangzhen Xuebao / Journal of System Simulation, v 20, n 15, p 4163-4167, Aug 5 2008.
Main Research Projects:
1. Research on key electronic equipment of rail transit network based on embedded technology
2. Micro chromatographic control software and sample pretreatment technology Special equipment of Shanghai Science and Technology Commission
3. High performance liquid chromatograph core control system design enterprise cooperation
4. Enterprise cooperation of online monitoring and analysis software system for dissolved gas in transformer oil
5. Research on unsupervised learning algorithm in somatosensory network
6. Research on image semantic extraction based on uncertain visual model
7. High end full automatic liquid chromatograph-- Shanghai Science and Technology Commission equipment project
8. Digital Media Technology and Application Research Enterprise Cooperation
9. High end fully automated liquid chromatograph for scientific and technological mountaineering - Shanghai Municipal Science and Technology Commission
10 Key Projects of the 13th Five Year Plan of the Ministry👩🏿💼： Digital Printing and Dyeing Technology
11 Intermittent Intelligent Dyeing and Finishing Ministry of Industry and Information Technology Intelligent Manufacturing New Mode Project
12 Cooperation of textile quality inspection enterprises based on machine vision
13. Enterprise cooperation ：defect classification based on deep learning
14 Enterprise cooperation ：textile machinery monitoring system based on machine learning
15 Cooperation between key technology research enterprises of smart textiles
Enterprise cooperation of textile sample retrieval system based on machine vision
Address: 219, College Building 1
Tel: 021-67874250
Email: lifeng@dhu.edu.cn