PhD candidate, 2016-2020
I joined the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology in Sep. 2016 for PhD study, supervised by Prof. Kwang-Ting (Tim) Cheng. My research interests include computer vision, deep learning and medical image processing.
2015.06 - 2015.12
During my internship at Microsoft Research Asia, I worked with Prof. Katsushi Ikeuchi (IEEE Fellow) on a very interesting topic about humanoid robots. With the help of great colleagues, we developed the learning-from-observation paradigm on two different kinds of robot platforms. The demo was selected to the TechFest 2016 of Microsoft.
2014.12 - 2015.04
During my visit at Texas A&M University, I worked with Prof. Zixiang Xiong (IEEE Fellow) on machine learning and depth image processing. Under the guidance of Prof. Xiong, I developed a large-area depth recovery algorithm for depth enhancement. The paper won the top 10% paper award at the IEEE Workshop on MMSP 2015.
HKUST Postgraduate Scholarship (2016-present)
Award of Excellence, Stars of Tomorrow Internship Program, Microsoft Research Asia 2016
HUAWEI Scholarship (2016)
Top 10% Paper Award, IEEE International Workshop on Multimedia Signal Processing 2015
Student Travel Grant Award, IEEE Signal Processing Society 2015
Zengqiang Yan, Li Yu, and Zixiang Xiong, "Large-area Depth Recovery for Planar Surfaces in RGB-D Images," IEEE Transactions on Multimedia, 2018. (under review)
Zengqiang Yan, Xin Yang, and Kwang-Ting Cheng, "A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation," IEEE Journal of Biomedical and Health Informatics, 2018. [pdf]
Zengqiang Yan, Xin Yang, and Kwang-Ting Cheng, "Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation," IEEE Transactions on Biomedical Engineering, 2018. [pdf][Github]
Katsushi Ikeuchi, Zhaoyuan Ma, Zengqiang Yan, Shunsuke Kudoh, and Minako Nakamura, "Describing Upper Body Motions based on the Labanotation for Learning-from-Observation Robots," International Journal of Computer Vision (IJCV), 2018. [pdf]
Zengqiang Yan, Xin Yang, and Kwang-Ting Cheng, "A Deep Model with Shape-preserving Loss for Gland Instance Segmentation," in Proc. MICCAI, Sep. 2018. [pdf]