Jiawei Chen

Researcher on Computer Vsion

Dept. of Biomedical Engineering
Southern Medical University

Email: carvychen@gmail.com
CV: curriculum vitae

Biography

I am currently a researcher at Tencent focusing on Medical AI applications. My group leader is Dr. Yefeng Zheng. Previously, I received the MA. Eng (honors) degree from Southern Medical University in 2018, under the supervison from Prof. Xin Zhen.

My research interest lies in medical image analysis and deep learning, for improving the public healthcare & medical diagnosis with machine intelligence. Recently, I am exploring model generalization and robustness for wide applicability of AI models in complex clinical environments.

News

[11/2022] Paper on domain generalization was accepted by IJCV.
[10/2021] Paper on GAN for domain adaptation was accepted by IEEE TMI.
[06/2021] Paper on cervical lesion segmentation was accepted by IPMI'21.
[07/2020] Paper on image-to-image domain adaptation (OP-GAN) was accepted by ECCV'20.
[06/2020] Three Papers on domain adaptation, self and semi-supervised segmentation were accepted by MICCAI'20.
[05/2020] Paper on cervical cancer diagnosis was accepted by IEEE TMI.
[04/2020] Paper on multi-task self-supervised learning was accepted by ISBI'20.
[11/2019] Paper on video-to-video domain adaptation (VideoGAN) was accepted by AAAI'20.

Publications

	Cross-Domain Gated Learning for Domain Generalization. Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang. International Journal of Computer Vision (IJCV), 2022. [paper]
	Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation using Information Bottleneck Constraint. Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng. IEEE transactions on Medical Imaging (TMI), 2021. [paper]
	Efficient and effective training of covid-19 classification networks with self-supervised dual-track learning to rank. Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng. IEEE Journal of Biomedical and Health Informatics (JBHI)*, 2020. [paper]
	Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. Xie Xinpeng, Jiawei Chen, Li Yuexiang, Shen Linlin, Ma Kai, Zheng Yefeng. European Conference on Computer Vision (ECCV), 2020. [paper]
	MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. Xie Xinpeng, Jiawei Chen, Li Yuexiang, Shen Linlin, Ma Kai, Zheng Yefeng. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [paper]
	Instance-aware self-supervised learning for nuclei segmentation. Xie Xinpeng, Jiawei Chen, Li Yuexiang, Shen Linlin, Ma Kai, Zheng Yefeng. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [paper]
	Self-loop uncertainty: A novel pseudo-label for semi-supervised medical image segmentation. Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [paper]
	Computer-aided cervical cancer diagnosis using time-lapsed colposcopic images. Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao. IEEE transactions on Medical Imaging (TMI), 2020. [paper]
	A multi-task self-supervised learning framework for scopy images. Yuexiang Li, Jiawei Chen, Yefeng Zheng. IEEE International Symposium on Biomedical Imaging (ISBI), 2020. [paper]
	Generative adversarial networks for video-to-video domain adaptation. Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020. [paper]
	Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy. Jiawei Chen, Haibin Chen, Zichun Zhong, Zhuoyu Wang, Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque, Xuejun Gu and Xin Zhen. Radiation Oncology, 2018. [paper]
	Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study. Xin Zhen, Jiawei Chen, Zichun Zhong, Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque and Xuejun Gu. Physics in Medicine & Biology, 2017. [paper]

Honors & Awards

First Prize of Tencent WeInnovate Awards, Tencent, 2020
Best Paper Award on The International Workshop on Multiscale Multimodal Medical Imaging, Shenzhen, 2019
Science Council Session Award on The 59th Annual Meeting of AAPM, Denver, 2017
Chinese National scholarship, Southern Medical University, 2017
First Prize of Academic Scholarship, Southern Medical University, 2014 & 2016 & 2017

Professional Activities

Conference Reviews:
AAAI Conference on Artificial Intelligence (AAAI)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Journal Reviews:
IEEE Transactions on Medical Imaging (TMI)
IEEE Journal of Biomedical and Health Informatics (JBHI)
Neurocomputing