Yongcheng Jing, M.Sc. 2019

Laboratory of Visual Intelligence and Pattern Analysis
Computer Science Department
Zhejiang University

Office Room 404, Guangbiao Cao West Building
Email ycjing AT zju.edu.cn
Homepage https://yongchengjing.com


I am currently a graduate student at the Microsoft Visual Perception Laboratory (VIPA) of Zhejiang University (ZJU) and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies (AZFT). I am fortunately advised by Prof. Mingli Song and Prof. Yizhou Yu.

I am also very fortunate to collaborate with Prof. Yezhou Yang and Prof. Dacheng Tao.

Prior to Zhejiang University, I received my BEng in Computer Science from the Elite Program at South China University of Technology (SCUT), where I worked on pattern recognition and computer vision under the supervision of Prof. Patrick P. K. Chan. I was awarded the Early Graduate Honor and graduated one year ahead of the expected graduation date in 2016. After that I was admitted as an MS candidate to Zhejiang University, exempt from the Graduate Entrance Exam.

Research Interest

Currently my research interests include: computational photography, texture modelling, vision algorithms in an adversarial environment.

Awards & Honors

National Scholarship, ZJU, 2018

Graduate of Merit/Triple A Graduate, ZJU, 2018

Award of Honor for Graduates, ZJU, 2018

Outstanding Reviewer for JVCI, 2017

National Scholarship, ZJU, 2017

Graduate of Merit/Triple A Graduate, ZJU, 2017

Award of Honor for Graduates, ZJU, 2017

Academic Scholarship, ZJU, 2016

Early Graduate Honor (top 5%), SCUT, 2016

“Hong Ping Chang Qing” Academic Scholarship, 2016

Honorable Mention in Interdisciplinary Contest In Modeling (administered by COMAP), 2015

Volunteer Stars Awards, SCUT, 2015

1st and 3rd Class Scholarships, SCUT, 2013 - 2016

The Elite Program of Computer Science (40 best students are chosen from about 1500 freshmen), 2013 - 2016


Y. Jing, Y. Liu, Y. Yang, Z. Feng, Y. Yu, D. Tao, and M. Song. Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. In European Conference on Computer Vision (ECCV), 2018

J. Ye, Z. Feng, Y. Jing, and M. Song. Finer-Net: Cascaded Human Parsing with Hierarchical Granularity. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2018

Z. Feng, Z. Yu, Y. Yang, Y. Jing, J. Jiang, and M. Song. Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR), 2018

Z. Feng, Y. Jing, C. Zhang, R. Xu, J. Lei, and M. Song. Graph-based Color Gamut Mapping using Neighbor Metric. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2017