Tieyong Zeng (曾鐵勇) Professor, Department of Mathematics. Director, Center for Mathematical Artificial Intelligence. The Chinese University of Hong Kong. Room 225, Lady Shaw Building, CUHK, Shatin, N.T., Hong Kong. Email: zeng[at]math.cuhk.edu.hk [Google Scholar] [Researchgate]

Biography

Dr. Tieyong Zeng is a Professor at the Department of Mathematics, The Chinese University of Hong Kong (CUHK). Together with colleagues, he has founded the Center for Mathematical Artificial Intelligence (CMAI) since 2020 and served as the director of CMAI. He received the B.S. degree from Peking University, Beijing, China, the M.S. degree from Ecole Polytechnique, Palaiseau, France, and the Ph.D. degree from the University of Paris XIII, Paris, France, in 2000, 2004, and 2007, respectively. His research interests include image processing, optimization, artificial intelligence, scientific computing, computer vision, machine learning, and inverse problems. He has published around 100 papers in the prestigious journals such as SIAM Journal on Imaging Sciences, SIAM Journal on Scientific Computing, Journal of Scientific Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Image Processing (TIP), IEEE Medical Imaging (TMI), and Pattern Recognition. He is laureate of the 2021 Hong Kong Mathematical Society (HKMS) Young Scholars Award, due to the significant contributions in mathematical imaging and data science.

Admissions

Multiple positions (including Postdocs/PhDs/RAs/Interns) are available. Candidates with research experience in deep learning, computer vision, optimization, and computational photography will be considered with higher priority. You may consider the Hong Kong Ph.D. Fellowship Scheme (HKPFS), the RGC Postdoctoral Fellowship Scheme, or the Hong Kong Scholars Program.

PhD and RA

PhD and Research Assistant/Associate positions in deep learning, computer vision, optimization, and computational photography can be available throughout the whole year. Please send me your CV if you have great enthusiasm for research.

Postdoctoral Fellow

Postdocs and Students

Current Postdocs

Current Postgraduate Students

Work Experiences

Selected Publications

Journal Papers

	Surface-Aware Blind Image Deblurring Jun Liu, Ming Yan, and Tieyong Zeng. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021. [Paper]
	Deep Tensor CCA for Multi-view Learning Hok Shing Wong, Li Wang, Raymond Chan, and Tieyong Zeng. IEEE Transactions on Big Data (IEEE TBD), 2021. [Paper]
	Overlapping Domain Decomposition Methods for Ptychographic Imaging Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-cheng Tai, Yang Wang, and Tieyong Zeng. SIAM Scientific Computing, 2021. [Paper]
	A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information Xu Li, Xiaoping Yang, and Tieyong Zeng. SIAM Journal on Imaging Sciences, 2020. [Paper]
	Soft-edge Assisted Network for Single Image Super-Resolution Faming Fang, Juncheng Li, and Tieyong Zeng. IEEE Transactions on Image Processing (IEEE TIP), 2020. [Paper] [Code]
	Multi-level Edge Features Guided Network for Image Denoising Faming Fang, Juncheng Li, Yiting Yuan, Tieyong Zeng, and Guixu Zhang. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020. [Paper] [Code]
	Linkage Between Piecewise Constant Mumford--Shah Model and Rudin--Osher--Fatemi Model and Its Virtue in Image Segmentation Xiaohao Cai, Raymond Chan, Carola-Bibiane Schonlieb, Gabriele Steidl, and Tieyong Zeng. SIAM Journal on Scientific Computing, 2019. [Paper]
	A weighted difference of anisotropic and isotropic total variation model for image processing Yifei Lou, Tieyong Zeng, Stanley Osher, and Jack Xin. SIAM Journal on Imaging Sciences, 2015. [Paper]
	General framework to histogram-shifting-based reversible data hiding Xiaolong Li, Bin Li, Bin Yang, and Tieyong Zeng. IEEE transactions on image processing (IEEE TIP), 2013. [Paper]
	A Dictionary Learning Approach for Poisson Image Deblurring Liyan Ma, Lionel Moisan, Jian Yu, and Tieyong Zeng. IEEE Transactions on Medical Imaging (IEEE TMI), 2013. [Paper]
	A two-stage image segmentation method using a convex variant of the Mumford--Shah model and thresholding Xiaohao Cai, Raymond Chan, and Tieyong Zeng. SIAM Journal on Imaging Sciences, 2013. [Paper]
	Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection Xiaolong Li, Bin Yang, and Tieyong Zeng. IEEE transactions on image processing (IEEE TIP), 2011. [Paper]
	A multiphase image segmentation method based on fuzzy region competition Fang Li, Michael K Ng, Tieyong Zeng, and Chunli Shen. SIAM Journal on Imaging Sciences, 2010. [Paper]

Conference Papers

	Structure-Preserving Deraining with Residue Channel Prior Guidance Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang1g, and Tieyong Zeng. International Conference on Computer Vision (ICCV), 2021. [Paper] [Code]
	Rank-One Prior: Toward Real-Time Scene Recovery Jun Liu, Ryan Wen Liu, Jianing Sun, and Tieyong Zeng. Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Paper]

Professional Activities

Conference and Workshop Organizer

Services

Selective Awards