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

[07/2022] Paper on dynamic learning rate for test-time adaptation was accepted by IEEE TMI.
[05/2022] Two papers on model generalization were early accepted by MICCAI'22.
[12/2021] Our paper on single domain generalization for segmentation was accepted by AAAI'22.
[10/2021] Paper on leveraing privileged multimodal knowledge for unimodal segmentation was accepted by IEEE TMI.
[09/2021] We won the champion of 2021 MICCAI Federated Brain Tumor Segmentation Challenge (FeTS).
[23/06/2021] Passed the oral defense and became a Dr.!
[05/2021] One paper on source-free unsupervised domain adaptation was early accepted by MICCAI'21.
[03/2021] Our paper on federated domain generalization (FedDG) was accepted by CVPR'21.
[03/2021] Our paper on relating temporal cues for surgical workflow recognition was accepted to IEEE TMI.
[02/2020] One paper on unsupervised domain adaptation was accepted by IEEE TMI.
[08/2019] One paper on robust multimodal learning was accepted by MICCAI'19, with a travel award.

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

Apparatus and method for motion tracking of at least a portion of a limb.
Cheng Chen, Jim Wang.
WO Patent WO2017005591A1, 2017.

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

Conference/Journal Reviews:
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021
Medical Imaging with Deep Learning (MIDL) 2021
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021
Medical Image Analysis (MedIA)
IEEE Transactions on Medical Imaging (TMI)
International Journal of Computer Vision (IJCV)
Journal of Biomedical and Health Informatics (JBHI)
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
IEEE Access
Mathematical Problems in Engineering

Teaching

2017-2018	Spring	Linear Algebra and Vector Calculus for Engineers
2017-2018	Fall	Digital Logic And Systems