Xiaomeng Li

Ph.D. Candidate

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: xmengli999 at gmail dot com

Biography [CV]

I am currently a forth year Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), where I am fortunate to be co-advised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, I received the B. Eng. degree from the School of Mechano-Electronic Engineering, Xidian University. I worked with Prof. Kai Xie for undergraduate research.

My research has been focused on two broad themes: the interdisciplinary area of developing AI algorithms for real-world medical imaging applications; and the fundamental problems regarding to low-data regime issues, such as few-shot learning, semi-supervised learning and unsupervised learning.

I spent the summer of 2018 at Tencent AI lab, working with Jia Xu on developing models for few-shot classification.

Honors & Awards

Champion, Liver Tumor Segmentation Challenge Leaderboard , 2017 (util. Oct. 2018, team name:xjqi, code is public online )
Champion, Automatic IVD Localization and Segmentation from 3D Multi-modality MR Images, 2016
National Scholarship in China (0.6%), 2014
First-class student Scholarship (5.0%), 2012, 2013
Honorable Mention, Interdisciplinary Contest in Modeling (ICM), Consortium for Mathematics and Its Application, 2013
National 2nd Prize, Mathematical Contest in Modeling(MCM) (3.10%), 2012.

Selected Publications [Google Scholar]

Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng. "Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images" International Skin Imaging Collaboration (ISIC) Skin Image Analysis Workshop of MICCAI 2018. (Oral)


Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng. "Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model" The British Machine Vision Conference (BMVC), 2018.


Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng. "H-DenseUNet: Hybrid densely connected UNet for liver and liver tumor segmentation from CT volumes." IEEE Transactions on Medical Imaging (IEEE TMI), 2018.

[paper] [code]

Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Guoyan Zheng and Pheng-Ann Heng, et al. "3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images " Medical image analysis (MedIA), 2018.


Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng. "Multi-scale and modality dropout learning for intervertebral disc localization and segmentation" MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging, 2016.


Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Chi-Wing Fu and Pheng-Ann Heng, et al. "Feature-preserving ultrasound speckle reduction via L0 minimization" Neurocomputing (Neurocomputing), 2018.


Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin-Hong Wong, Pheng-Ann Heng. "Ultrasound Speckle Reduction via Minimization" Asian Conference on Computer Vision (ACCV), 2016.




2015-2016FallCSCI1540 Fundamental computing with C++
2015-2016SpringENGG1100 Introduction to Engineering Design
2016-2017FallCSCI2100 Data structure
2016-2017SpringCSCI3310 Mobile Computing and Applications Development
2017-2018FallCSCI3310 Mobile Computing and Applications Development

© Xiaomeng Li | Last updated: 15 Dec. 2018