Cheng Chen

Ph.D.

Rm 1024, Ho Sin-Hang Engineering Building
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong

Email: chencheng236 at gmail dot com


Biography

I have received my Ph.D. degree from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng and Prof. Qi Dou. Previously, I received my MS from The Johns Hopkins University in 2013, and BS from Zhejiang University in 2011, both with a specialization in biomedical engineering.

My research interests include medical image computing and machine learning.

News

Selected Publications [Google Scholar]

                           
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary.
Quande Liu, Cheng Chen, Qi Dou, Pheng Ann Heng.
AAAI Conference on Artificial Intelligence (AAAI), 2022.

[paper][code]

Learning with Privileged Multimodal Knowledge for Unimodal Segmentation.
Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2021.

[paper][code]

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling.
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng Ann Heng.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.

[paper][code]

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[paper][code]

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.

[paper][code]

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

(Graduate Student Travel Award)

[paper][code]

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation.
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
Association for the Advancement of Artificial Intelligence (AAAI), 2019.

(Oral)


(Graduate Student Scholarship)

[paper][code]

Semantic-aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation.
Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng.
International Workshop on Machine Learning on Medical Imaging (MLMI), 2018.

(Oral)

[paper]

Unsupervised Cross-modality Domain Adaptation of Convnets for Biomedical Image Segmentations with Adversarial Loss.
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng.
International Joint Conference on Artificial Intelligence (IJCAI), 2018.

(Oral)

[paper][code]

Patent

Honors & Awards

MICCAI'19 Graduate Student Travel Award, 2019
AAAI'19 Student Scholarship, 2019
Finalist EMBC Student Paper Competition, 2013
The Johns Hopkins University BME-MSE Full Scholarship, 2011-2013
Outstanding Graduates of Hangzhou, 2011
Outstanding Undergraduate Thesis of Zhejiang University, 2011

Professional Activities

Teaching

2017-2018SpringLinear Algebra and Vector Calculus for Engineers
2017-2018FallDigital Logic And Systems


© Cheng Chen | Last updated: May 2021