Office | Room 404, Guangbiao Cao West Building |
zunleifeng AT zju.edu.cn or zunleifeng AT 163.com |
Zunlei Feng is currently an assistant research fellow in College of Software Technology, Zhejiang University and a member of VIPA Group, led by professor Mingli Song. He received his Ph. D degree in Computer Science and Technology from College of Computer Science, Zhejiang University, and B. Eng. Degree from Soochow University.
Currently my research interests include: Representation Learning, Classification and Image Information
Processing, Machine Vision and Pattern Recognition.
First-Class Glodon Scholarship, 2018
Excellent Cadre of Communist Youth League of China, 2018
Outstanding Graduate Student of Zhejiang University, 2018
Outstanding Graduate Student Cadres of Zhejiang University, 2018
Outstanding Graduate Student of Zhejiang University, 2017
Glodon Outstanding Graduate Student Cadres Scholarship, 2017
Excellent Cadre of Communist Youth League of China, 2016
Advanced Individual in Social Practice, 2016
Advanced Individual Scholarship for Social Practice, 2016
Outstanding Graduate Student Cadres of Zhejiang University, 2016
Excellent Cadre of Communist Youth League of China, 2015
Outstanding Graduate Student of Zhejiang University, 2015
Outstanding Graduate Student Cadres of Zhejiang University, 2015
Z. Feng,W. Liang,D. Tao, L. Sun, A. Zeng, M. Song, CU-Net: Component Unmixing Network for
Textile Fiber
Identification. International Journal of Computer Vision(IJCV).
Z. Feng, Z. Yu, Y. Yang, Y. Jing, J. Jiang, M. Song, Interpretable Partitioned Embedding for
Intelligent
Multi-item Fashion Outfit Composition. ACM Transactions on Multimedia Computing, Communications, and
Applications (ACM TOMM).
Z. Feng, X. Wang, C. Ke, D. Tao, M. Song, Dual Swap Disentangling. In: Thirty-second Conference
on Neural Information Processing Systems (NIPS 2018).
Z. Feng, Z. Yu, Y. Yang, Y. Jing, J. Jiang, M. Song, Interpretable Partitioned Embedding for
Customized Multi-item Fashion Outfit Composition. In: ACM International Conference on Multimedia Retrieval
(ICMR 2018, Oral).
J. Ye, Z. Feng, Y. Jing, M. Song, Finer-Net: Cascaded Human Parsing with Hierarchical
Granularity. In: IEEE International Conference on Multimedia and Expo (ICME 2018, Oral).
J. Lei, Z. Wang, Z. Feng, M. Song, J. Bu, Understanding the prediction process of Deep Networks
by Forests. In: IEEE International Conference on Multimedia Big Data (BigMM 2018).
Y. Jing, Y. Liu, Y. Yang, Z. Feng, Y. Yu,, M. Song, Stroke Controllable Fast Style Transfer with
Adaptive Receptive Fields. In: European Conference on Computer Vision (ECCV 2018).
J. Lei, X. Gao, Z. Feng, H. Qiu, M. Song, Scale Insensitive and Focus Driven Mobile Screen Defect Detection in Industry, Neurocomputing 2018.
Z. Feng, W. Yuan, C. Fu, J. Lei, M. Song, Finding intrinsic color themes in images with human visual perception, Neurocomputing 2017.
Z. Feng, Y. Jing, C. Zhang, R. Xu, J. Lei, M. Song, Graph-based color Gamut Mapping using neighbor metric. In: IEEE International Conference on Multimedia and Expo (ICME 2017, Oral).
J. Lei, Z. Feng, M. Song, D. Tao, Which Face is More Attractive?. In: IEEE International Conference on Image Processing (ICIP 2016, Oral).