Feiniu Yuan received his B.E. and M.E. degrees in mechanical engineering from Hefei University of Technology, Hefei, China, in 1998 and 2001, respectively, and his Ph.D. degree in pattern recognition and intelligence system from University of Science and Technology of China (USTC), Hefei, in 2004. From 2004 to 2006, he worked as a post-doctor with State Key Lab of Fire Science, USTC. From 2010 to 2012, he was a Senior Research Fellow with Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore. He is currently a professor, a PhD supervisor and a vice dean with College of Information, Mechanical and Electrical Engineering, Shanghai Normal University (SHNU), China. He is also with Key Innovation Group of Digital Humanities Resource and Research, SHNU, china. He is an IEEE senior member and a CCF distinguished member. His research interests include deep learning, image segmentation, pattern recognition and 3D modeling.

1. Education background

 2001.3~2004.3, Ph.D., University of Science & Technology of China, Hefei, Anhui, China

 1998.9~2001.3, M.S., Hefei University of Technology, Hefei, Anhui, China

 1994.9~1998.7, B.S., Hefei University of Technology, Hefei, Anhui, China

2. Work experience

 2018~present, Professor, Shanghai Normal University, Shanghai, China

 2006~2018, Professor, Jiangxi University of Economics & Finance, Nanchang, Jiangxi, China

 2010~2012, Senior Research Fellow, Agency for Science, Technology and Research (A*STAR), Singapore

 2004~2006, Post-doctor, University of Science & Technology of China, Hefei, Anhui, China

3. Research interests

 Deep learning, image processing, pattern recognition, video smoke detection, semantic segmentation,Medical image processing, 3D modeling and 3D visualization

4. Selected papers

[1].Feiniu Yuan, Yuhuan Peng, Qinghua Huang, Xuelong Li, A Bi-directionally Fused Boundary Aware Network for Skin Lesion Segmentation,  IEEE Transactions on Image Processing, vol. 33, Nov. 2024, pp.6340-6353. (IF 13.7, CCF-A)

[2].Lin Zhang, Jing Wu, Feiniu Yuan(correspondence), Yuming Fang,“Smoke-Aware Global-Interactive Non-local Network for Smoke Semantic Segmentation,” IEEE Transactions on Image Processing, vol. 33, Feb. 2024, pp. 1175-1187. (IF 13.7, CCF-A)

[3].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.(IF 13.7, CCF-A)

[4].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. (IF 13.7, CCF-A)

[5].Chunlin Wen, Hui Huang, Yan Ma,Feiniu Yuan, Hongqing Zhu, “Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation,”IEEE Transactions on Multimedia, vol. 26, 2024, pp.8874-8888.(IF 9.7, CCF-B)

[6].Feiniu Yuan, Changhong Xie, Biao Xiang, “A Comprehensive Feature Aggregation Network for Efficient Image Super-Resolution, ”IEEE Transactions on Consumer Electronics, early access, online. (IF 10.9)

[7].Kang Li, Feiniu Yuan(correspondence), Chunmei Wang, “Frequency-Space Interaction with Hierarchical Aggregation Network for Lightweight Smoke Image Segmentation, ” IEEE Transactions on Consumer Electronics, vol. 7, no. 2, pp. 2632-2643. (IF 10.9)

[8].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. (IF 7.515)

[9].Yuming 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. (IF 9.309)

[10].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, vol. 60, no. 6, pp. 1589-1598, Jun. 2013. (IF 4.424)

[11]. 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, vol. 59, no. 2, pp. 552-561, Feb. 2012. (IF 4.424)

[12].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. (IF 11.148)

[13].Chunmei Wang, Yuan Luo, Chunli Meng, Feiniu Yuan(correspondence), “An adaptive dual graph convolution fusion network for aspect-based sentiment analysis,” ACM Transactions on Asian and Low-Resource Language Information Processing, volume 23, issue 6, Jun 2024.

[14].Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan(correspondence), Nevrez Imamoglu, Haiwen Liu, “Video Saliency Detection by Gestalt Theory, ” Pattern Recognition, vol. 96, no. 12, Dec. 2019, pp. 1-11. (IF 7.6, CCF-B)

[15].Feiniu Yuan, Zhengxiao Zhang, and Zhijun Fang, “An Effective CNN and Transformer Complementary Network for Medical Image Segmentation,” Pattern Recognition, vol. 136, Apr. 2023, 109228, pp. 1-12. (IF 7.6, CCF-B)

[16].Feiniu Yuan, Zeshu Dong, Lin Zhang, Xue Xia, Jinting Shi, “Cubic-cross convolutional attention and count prior embedding for smoke segmentation,” Pattern Recognition, vol. 131, Nov. 2022, 108902. (IF 7.6, CCF-B)

[17].Feiniu Yuan, Yu Zhou, Xue Xia, Xueming Qian, Jian Huang, “A Confidence Prior for Image Dehazing,” Pattern Recognition, vol. 119, 2021, pp. 1-16. (IF 7.6, CCF-B)