Curriculum vitae
  Feiniu Yuan
  PhD, Professor
CCF and IEEE Senior member
  yfn@ustc.edu
  College of Information, Mechanical and Electrical Engineering
  Shanghai Normal University
  Haisi Road, Shanghai 201418, China.
 
Education background
  Ph.D. Degree 2001.3~2004.3 Pattern Recognition and Intelligence System at School of Information Science & Technology, University of Science & Technology of China, Hefei, Anhui, China
  Master Degree 1998.9~2001.3 Mechanical Manufacturing and Automation at School of Mechanical & Automotive Engineering, Hefei University of Technology, Hefei, Anhui, China
  Bachelor Degree 1994.9~1998.7 Mechanical Manufacturing and Automation at School of Mechanical & Automotive Engineering, Hefei University of Technology, Hefei, Anhui, China
Work experience
  Professor 2018~present College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China
  Professor 2006~2018 School of Information Technology, Jiangxi University of Economics & Finance, Nanchang, Jiangxi, China
  Senior Research Fellow 2010~2012 Singapore Bio-imaging Consortium (SBIC), Bio-medical science institute (BMSI), Agency for Science, Technology and Research (A*STAR), Singapore
  Post-doctor 2004~2006 State Key Lab of Fire Science, University of Science & Technology of China, Hefei, Anhui, China
Research interests
  Deep learning, image processing, pattern recognition, video smoke detection, semantic segmentation
  Medical image processing, 3D modeling and 3D visualization
Journal papers (including code and data)
 
  1. Feiniu Yuan, Yu Zhou, Xue Xia, Xueming Qian, Jian Huang, "A Confidence Prior for Image Dehazing," Pattern Recognition, accepted. (Elsevier, SCI, IF 5.898)
  2. Feiniu Yuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li, "A Gated Recurrent Network with Dual Classification Assistance for Smoke Semantic Segmentation," IEEE Transactions on Image Processing, vol. 30, 2021, pp. 4409-4422. (IEEE, SCI, IF 6.790)
  3. Feiniu Yuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li, "A Wave-shaped Deep Neural Network for Smoke Density Estimation," IEEE Transactions on Image Processing, vol. 29, 2020, pp. 2301-2313. (IEEE, SCI, IF 6.790)
  4. Yuming Fang, Guanqun Ding, Wenying Wen, Feiniu Yuan, Yong Yang, Zhijun Fang, Weisi Lin, "Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems," IEEE Transactions on Industrial Electronics, vol. 67, no. 11, 2020, pp. 9893-9903. (JCR Q1, SCI, IF 7.503)
  5. Qinghua Huang, Yonghao Huang, Yaozhong Luo, Feiniu Yuan, Xuelong Li, "Segmentation of breast ultrasound image with semantic classification of superpixels," Medical Image Analysis, vol. 61, 2020, pp. 1-13. (JCR Q1, IF 8.880)
  6. Qinghua Huang, Fengxin Pan, Wei Li, Feiniu Yuan, Hangtong Hu, Jinhua Huang, Jie Yu, Wei Wang, " Differential Diagnosis of Atypical Hepatocellular Carcinoma in Contrast-Enhanced Ultrasound Using Spatio-Temporal Diagnostic Semantics, ” IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 10, 2020, pp. 2860 - 2869. (JCR Q1, IF 4.217)
  7. Feiniu Yuan, Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “Encoding features from multi-layer Gabor filtering for visual smoke recognition,” Pattern Analysis and Applications, 23, 2020, pages1117–1131. (JCR Q2, SCI)
  8. Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan (correspondence), Nevrez Imamoglu, Haiwen Liu, “Video Saliency Detection by Gestalt Theory,” Pattern Recognition, vol. 96, no. 12, pp. 1-11, Dec. 2019. (Elsevier, SCI, IF 5.898)
  9. Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li, “Deep Smoke Segmentation,” Neurocomputing, vol. 357, 2019, pp. 248–260. (Elsevier, SCI, IF 4.072) (training data with password “w5nv”; test data: DS01 with password "bymb", DS02 with password "0s0d", DS03; tensorflow code; learned model with password "2d8d")
  10. Feiniu Yuan, Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “Smoke Recognition Based on Fusion of Texture, Edge and Line Features,” IET Image Processing, online. (IEEE, SCI, IF 2.004)
  11. Feiniu Yuan, Lin Zhang, Boyang Wan, Xue Xia and Jinting Shi, "Convolutional Neural Networks based on Multi-Scale Additive Merging Layers for Visual Smoke Recognition, " Machine Vision and Applications, vol. 30, 2019, pp. 345–358.(Elsevier, SCI, IF 1.788)
  12. Feiniu Yuan, Tiantian Tang, Xue Xia, Jinting Shi, and Shuying Li, "Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition, " KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 2078-2093, 2019. (SCI)
  13. Zhifang Xia, Weiling Chen, Qiaohong Li, Feiniu Yuan, Chuangeng Tian, Lu Tang, "Prediction of Mobile Image Saliency and Quality Under Cloud Computing Environment, " Digital Signal Processing, vol. 91, 2019, pp.66-76.(Elsevier, SCI, IF 2.792)
  14. Feiniu Yuan, Jinting Shi, Xue Xia, Lin Zhang, Shuying Li, "Encoding Pairwise Hamming Distances of Local Binary Patterns for Visual Smoke Recognition," Computer Vision and Image Understanding, vol. 178, pp. 43-53, Jan. 2019 (Elsevier, SCI, IF 2.645)
  15. Feiniu Yuan, Xue Xia, Jinting Shi, Lin Zhang, Jifeng Huang, “Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition,” Information Sciences, vol. 468, pp. 193-212, Nov. 2018. (Elsevier, SCI, IF 4.832) (Related code and features： mega netdisk or baidu netdisk with password: pt7r)
  16. Feiniu Yuan, Jinting Shi, Xue Xia, Qinghua Huang, and Xuelong Li，“Co-occurrence Matching of Local Binary Patterns for Improving Visual Adaption and Its application to Smoke Recognition, ” IET Computer Vision, Volume 13, Issue 2, March 2019, pp. 178–187. (SCI)
  17. Feiniu Yuan, Xue Xia, Jinting Shi, “Holistic learning-based high-order feature descriptor for smoke recognition,International Journal of Wavelets,” International Journal of Wavelets, Multiresolution and Information Processing, vol. 17, no. 2, 2019. (SCI) (Related features： mega netdisk or baidu netdisk with password: 3rjk)
  18. Feiniu Yuan, Xue Xia, Jinting Shi, “Mixed Co-occurrence of Local Binary Patterns and Hamming-distance-based Local Binary Patterns,” Information Sciences, vol. 460–461, pp. 202-222, Sep. 2018. (Elsevier, SCI, IF 4.832)
  19. Zhijian Yin, Boyang Wan, Feiniu Yuan(Correspondence), Xue Xia, Jinting Shi, “A deep normalization and convolutional neural network for image smoke detection,” IEEE Access, vol. 5，pp. 18429 – 18438, 2017. (IEEE, SCI, IF 4.098). (Training and testing code, learned models, data)
  20. Feiniu Yuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li, "Non-linear Dimensionality Reduction and Gaussian Process based Classification Method for Smoke Detection," IEEE Access, vol.5, pp. 6833-6841, May 2017.(IEEE, SCI, IF 4.098).
  21. Feiniu Yuan, Jinting Shi, Xue Xia, Yuming Fang, Zhijun Fang, Tao Mei. High-order local ternary patterns with locality preserving projection for smoke detection and image classification. Information Sciences, vol. 372, 2016, pp. 225-240.(Elsevier, SCI, IF 4.832).
  22. Yong Yang, Weiguo Wan, Shuying Huang, Feiniu Yuan, Shouyuan Yang, Yue Que. Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter. IEEE Access, Volume 4, 2016, pp. 4573-4582.((IEEE, SCI, IF 4.098).
  23. uming Fang, Zhijun Fang, Feiniu Yuan, Yong Yang, Shouyuan Yang, Neal N. Xiong. Optimized Multi-operator Image Retargeting Based on Perceptual Similarity Measure. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 47, Issue 11，pp. 2956-2966, Oct. 2017 ((IEEE, SCI, IF 2.35).
  24. Feiniu Yuan, Jinting Shi, Xue Xia, Yong Yang, Yuming Fang, Rui Wang. Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification. KSII Transactions on Internet and Information Systems, vol. 10, no. 4, 2016, pp. 1807-1823.(SCI).
  25. Feiniu Yuan, Zhijun Fang, Shiqian Wu, Yong Yang, Yuming Fang. A Real-Time Video Smoke Detection Using Staircase Searching Based Dual Threshold AdaBoost and Dynamic Analysis. IET Image Processing, Volume 9, Issue 10, October 2015, pp. 849-856. (IEEE, SCI, IF 2.004).
  26. Feiniu Yuan, Rotation and Scale Invariant Local Binary Pattern Based on High Order Directional Derivatives for Texture Classification. Digital Signal Processing,Volume 26, Issue 3, 2014, pp. 142-152. (Elsevier, SCI, IF 2.792). (c++ source code for DLBPCS )
  27. Feiniu Yuan, Kai-Hsiang Chuang, and Jimin Liu, "A Variational Surface Deformation and Subdivision Based Modeling Framework for Noisy and Small n-Furcated Tube-Like Structures," IEEE Transactions on Biomedical Engineering, Volume 60, Issue 6, 2013, pp. 1589-1598. (IEEE, SCI, IF 4.491)
  28. Feiniu Yuan. A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with Adaboost for video smoke detection. Pattern Recognition, Volume 45, Issue 12, 2012, pp. 4326-4336. (Elsevier, SCI, IF 5.898)
  29. Feiniu Yuan, Yanling Chi, Su Huang, and Jimin Liu, "Modeling n-Furcated Liver vessels From a 3D Segmented Volume Using Hole Making and Subdivision Methods," IEEE Transactions on Biomedical Engineering, Volume 59, Issue 2, 2012, pp. 552-561. (IEEE, SCI, IF 4.491)
  30. Feiniu Yuan. Video-based smoke detection with histogram sequence of LBP and LBPV pyramids. Fire Safety Journal, 2011, 46(3), pp. 132–139. (Elsevier, SCI, IF 1.659)
  31. Feiniu Yuan. An integrated fire detection and suppression system based on widely available video surveillance. Machine Vision and Applications, 21 (6), 2010: 941-948. (Springer, SCI, IF 1.788)
  32. Feiniu Yuan. A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recognition Letters, 2008, 29(7): 925-932. (Elsevier, SCI, IF 2.810)
Recent fundings
  1. Feiniu Yuan, PI, Gabor convolutional networks based Gaussian process smoke feature modeling with Multiple hidden layers. National Science Foundation (61862029), 2019-2022.
  2. Feiniu Yuan, PI, Smoke manifold modeling and its application in video smoke event detection. National Science Foundation (61363038), 2014-2017.
  3. Feiniu Yuan, PI, Feature model and recognition method for video smoke detection. Science Technology Application Project of Jiangxi province (KJLD12066), 2013-2015.
  4. Feiniu Yuan, PI, Multi-level boosting method of local binary pattern for video smoke detection. National Science Foundation (61063034), 2010-2013.
Demos
Deep face matting
Deep Smoke Density Estimation
Video Smoke Detection
Medical Image Processing and Visualization
Training and testing data for video smoke detection