Xi Wang

Postdoctoral Fellow

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: xiwang at cse dot cuhk dot edu dot hk


Biography

WANG Xi received her Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong in 2020, supervised by Prof. HENG Pheng-Ann and Prof. WONG, Tien-Tsin. Previously, she received her M.Sc. degree in Computer Science and Technology from Sichuan University in 2016, supervised by Prof. ZHANG Yi. She received her B.Eng. degree in Software Engineering from Southwest University in 2013.

Her research interests cover medical image analysis and deep learning, with special emphasis on weakly supervised learning. Specifically, she is dedicated to designing weakly supervised deep learning algorithms by leveraging coarsely labeled or unlabeled medical data, including gigapixel whole slide image classification, volumetric optical coherence tomography image analysis, and semi-supervised medical image classification, with aim at reducing annotation efforts from the medical expert substantially. She is also interested in exploring robust learning algorithms with noisy medical data.

News

Selected Publications [Google Scholar]

                                             
A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Center Analysis.
Fangyao Tang, Xi Wang, Hao Chen, Pheng-Ann Heng, Carol Y Cheung.
Diabetes Care, 2021.
Deep Virtual Adversarial Self-training With Consistency Regularization for Semi-supervised Medical Image Classification.
Xi Wang, Hao Chen, Huiling Xiang, Huangjing Lin, Xi Lin, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2021.

[paper]
Dual-path Network With Synergistic Grouping Loss and Evidence Driven Risk Stratification for Whole Slide Cervical Image Analysis.
Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2021.

[paper]
Towards Multi-center Glaucoma OCT Image Screening With Semi-supervised Joint Structure and Function Multi-task Learning.
Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P Chan, Clement C Tham, Robert T Chang, Suria S Mannil, Carol Y Cheung, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2020.

[paper]
UD-MIL: Uncertainty-driven Deep Multiple Instance Learning for OCT Image Classification.
Xi Wang*, Fangyao Tang*, Hao Chen, Luyang Luo, Ziqi Tang, An-Ran Ran, Carol Y Cheung, Pheng Ann Heng.
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2020.

[paper]
Deep Mining External Imperfect Data for Chest X-ray Disease Screening.
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.

[paper]
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening.
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P Chan, Clement C Tham, Carol Y Cheung, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

[paper]
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

[paper]
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
IEEE Transactions on Cybernetics (IEEE Cybernetics), 2019.

[paper]
Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Network
Yang Liu, Xi Wang, Jürgen Kurths
IEEE Transactions on Evolutionary Computation (IEEE TEC), 2019.

[paper]
Optimization of Targeted Node Set in Complex Networks under Percolation and Selection
Yang Liu, Xi Wang, Jürgen Kurths
Physical Review E (PRE), 2019.

[paper]
Detection of Glaucomatous Optic Neuropathy with Spectral-domain Optical Coherence Tomography: a Retrospective Training and Validation Deep-learning Analysis.
An Ran Ran, Carol Y Cheung, Xi Wang, Hao Chen, Luyang Luo, Poemen P Chan, Mandy OM Wong, Robert T Chang, Suria S Mannil, Alvin L Young, Hon-wah Yung, Chi Pui Pang, Pheng-Ann Heng, Clement C Tham.
The Lancet Digital Health, 2019.

[paper][news]
Weakly Supervised Learning for Whole Slide Lung Cancer Image Classifcation.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
International Conference on Medical Imaging with Deep Learning (MIDL), 2018.

(Oral, Student Travel Award)

[paper]
Automated Mitosis Detection with Deep Regression Networks.
Hao Chen, Xi Wang, Pheng-Ann Heng.
IEEE International Symposium on Biomedical Imaging (ISBI), 2016.

[paper]
Mitosis detection in breast cancer histology images via deep cascaded networks.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.

[paper]
3D fully convolutional networks for intervertebral disc localization and segmentation.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
International Conference on Medical Imaging and Virtual Reality (MIAR), 2016.

(Best Paper Award)

[paper]
* indicates equal contribution

Selected Awards

Student Travel Award at the 1st APOIS Meeting, 2020
2nd Prize of Best Free Paper at the 1st APOIS Meeting, 2020
Student Travel Award at the 1st MIDL Conference, 2018
Champion, Intervertebral Disc (IVD) Localization from 3D MRI data, 2015 MICCAI IVD Localization Challenge.
Champion, Detection of Abnormalities in Gastroscopic Images in iterms of Highest Pixel Level Classification Score, 2015 MICCAI Endoscopic Vision Challenge
Teaching Assistant of Merit, 2018-2019
Best Paper Award at MIAR, 2016
National Scholarship in China, 2010,2012
National Encouragement Scholarship in China, 2011

Professional Services

  • Conference Reviews:
    Medical Image Computing and Computer Assisted Intervention (MICCAI’20-21)

  • Journal Reviews:
    Medical Image Analysis (MedIA)
    IEEE Transactions on Medical Imaging (TMI)
    IEEE Transactions on Cybernetics IEEE Journal of Biomedical and Health Informatics (JBHI)
    World Journal of Radiology
    Frontiers Oncology
    Computers & Graphics
    International Journal of Intelligent Systems
    Scientific Reports

    • Teaching

    2018-2019SpringEngineering Design
    2018-2019FallEngineering Design
    2017-2018SpringEngineering Design
    2017-2018FallEngineering Design
    2016-2017SpringEngineering Design
    2016-2017FallJava Programming


    © Xi Wang | Last updated: June 2021