Zhetong Liang is a senior algorithm engineer at DAMO Academy, Alibaba, based in Shenzhen.

He got his Ph.D. degree from Department of Computing, The Hong Kong Polytechnic University (PolyU), supervised by Prof. Lei Zhang. Previously, He received the master’s degree from South China University of Technology in 2016.

His research experience includes deep-learning-based computational photography and image processing, such as image denoising and HDR imaging. He is currently working on bringing AI power to industry world.

Conference Paper

HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
Guanying Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong and Lei Zhang. International Conference of Computer Vision (ICCV), 2021.

A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images
Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang and Lei Zhang. European Conferenceon Computer Vision (ECCV), 2020.

A hybrid l1-l0 layer decomposition model for tone mapping
Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang. Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Journal Paper

Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
Shi Guo, Zhetong Liang, and Lei Zhang. IEEE Transactions on Image Processing (TIP), 2021.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
Zhetong Liang, Jianrui Cai, Zisheng Cao, and Lei Zhang. IEEE Transactions on Image Processing (TIP), 2021.

A Benchmark for Edge-Preserving Image Smoothing
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang and Yizhou Yu. IEEE Transactions on Image Processing (TIP), 2019.

Contrast Enhancement by Nonlinear Diffusion Filtering
Zhetong Liang, Weijian Liu, and Ruohe Yao. IEEE Transactions on Image Processing (TIP), 2016.

Services

Reviewer of IEEE Transactions on Image Processing (TIP)