Chu Han

Chu Han

Postdoctoral Fellow

Guangdong Provincial People's Hospital


I am now a postdoctoral fellow at the Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, under the supervision of Prof. Zaiyi Liu and Prof. Changhong Liang. I received the Ph.D. degree from the Chinese University of Hong Kong, under the supervision of Prof. Tien-Tsin Wong. I received the M.Sc. degree in computer science from South China University of Technology, and the B.Sc. degree from South China Agricultural University.

My current research interests include medical image analysis, computer graphics, image processing, computer vision and deep learning.

I like travelling and shooting landscape photographs. Here I share my photos with you. Join me if you are also an adventurer.


  • Deep Learning
  • Medical Image Analysis
  • Computer Vision
  • Image Processing
  • Computer Graphics


  • Ph.D. in Computer Science and Engineering, 2019

    the Chinese University of Hong Kong

  • M.Eng. in Computer Science and Engineering, 2014

    South China University of Technology

  • B.Sc. in Computer Science and Engineering, 2011

    South China Agricultural University


# indicates joint first author, * indicates corresponding author.

——————————————————– 2021 ——————————————————–

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images

Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu and Chu Han*
MICCAI 2020 Brain Tumor Workshop, 2021, to appear.

Fast Scene Labeling via Structural Inference

Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu*, Guoqiang Han, Jing Qin, Shengfeng He*
Neurocomputing, 2020, to appear.

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering

Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai*
IEEE International Conference on Bioinformatics and Biomedicine, 2021, to appear.

——————————————————– 2020 ——————————————————–

Learning a Consensus Affinity Matrix for Multi-view Clustering via Subspaces Merging on Grassmann Manifold

Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai*
Information Sciences, 2020.
[DOI] [Cite]

Transductive Zero-shot Action Recognition via Visually-connected Graph Convolutional Networks

Yangyang Xu#, Chu Han#, Jing Qin, Xuemiao Xu*, Guoqiang Han, Shengfeng He*
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[DOI] [PDF] [Cite]

TENet: Triple Excitation Network for Video Salient Object Detection

Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He*
European Conference on Computer Vision (spotlight paper, top 5%), 2020.
[PDF] [Cite] [Code]

Triple U-net: Hematoxylin-aware Nuclei Segmentation with Progressive Dense Feature Aggregation

Bingchao Zhao#, Xin Chen#, Zhi Li#, Zhiwen Yu#, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu*, Changhong Liang*, Chu Han*
Medical Image Analysis, 2020.
[DOI] [PDF] [Cite]

Coherence and Identity Learning for Arbitrary-length Face Video Generation

Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He*
Accepted by International Conference on Pattern Recognition, 2020.

Video Snapshot Single Image Motion Expansion via Invertible Motion Embedding

Qianshu Zhu#, Chu Han#, Guoqiang Han, Tien-Tsin Wong, Shengfeng He*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[DOI] [PDF] [Cite]

DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network

Dongjiu Zhang, Chuhua Xian*, Guoliang Luo, Yunhui Xiong, Chu Han
IEEE Access, 2020
[DOI] [PDF] [Cite]

——————————————————– 2019 ——————————————————–

Exploring Duality in Visual Questions Driven Top-Down Saliency

Shengfeng He, Chu Han*, Linchao Bao, Guoqiang Han, Jing Qin
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
[DOI] [PDF] [Cite]

Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction

Guo, Yi, Zhuming Zhang, Chu Han, Wenbo Hu, Chengze Li, and Tien-Tsin Wong*
Computer Graphics Forum, 2019
Pacific Graphics 2019 Best Student Paper Award
[DOI] [PDF] [Cite]

Deep Binocular Tone Mapping

Zhuming Zhang, Chu Han, Shengfeng He, Xueting Liu, Xinghong Hu, Tien-Tsin Wong*
The Visual Computer, 2019
[DOI] [PDF] [Cite]

Age Estimation via Attribute-region Association

Yiliang Chen, Shengfeng He*, Zichang Tan, Chu Han, Guoqiang Han, and Jing Qin
Neurocomputing, 2019
[DOI] [PDF] [Cite]

A Learning-based Multimodel Intergrated Framework for Dynamic Traffic Flow Forecasting

Teng Zhou, Guoqiang Han, Xuemiao Xu*, Chu Han, Yuchang Huang, Jing Qin
Neural Processing Letters, 2019
[DOI] [PDF] [Cite]

——————————————————– 2018 ——————————————————–

Deep Unsupervised Pixelization

Chu Han#, Qiang Wen#, Shengfeng He*, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong
ACM Transactions on Graphics (TOG), 2018
[DOI] [PDF] [Cite] [Code] [Supp] [Slides]

Example-based Colorization via Dense Encoding Pyramids

Chufeng Xiao#, Chu Han#, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, and Shengfeng He*
Computer Graphics Forum (Pacific Graphics 2018), 2020
[DOI] [PDF] [Cite] [Code]

TransHist: Occlusion-robust Shape Detection in Cluttered Images

Chu Han, Xueting Liu, Lok-Tsun Sinn, Tien-Tsin Wong*
Computational Visual Media, 2018
[DOI] [PDF] [Cite]

————————————————— Before 2017 —————————————————-

δ-agree Adaboost Stacked Autoencoder for Short-term Traffic Flow Forecasting

Teng Zhou, Guoqiang Han, Xuemiao Xu*, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin
Neurocomputing, 2017
[DOI] [PDF] [Cite]

Pyramid of arclength descriptor for generating collage of shapes

Kwan Kin Chung, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong*, and Chi-Wing Fu
ACM Transactions on Graphics (TOG), 2016
[DOI] [PDF] [Cite]


  • Guangdong Provincial People's Hospital, Guangzhou, Guangdong 510000