Xiaomeng LI
李小萌
PhD in Computer Science and Engineering
The Chinese University of Hong Kong, 2019

Assistant Professor
Department of Electronic and Computer Engineering

Associate Director of Center for Medical Imaging and Analysis



(852) 3469 2867
eexmli@ust.hk
Room 2524
Personal Web

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Google Scholar
uVTzPpoAAAAJ

ORCID
0000-0003-1105-8083

Scopus ID
57192493244




Research Interest Publications Projects Teaching Assignment RPG Supervision




Research Interest

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Medical image analysis
Deep learning
Computer vision



Publications

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All Years 22 2022 0 2021 7 2020 7 2019 2 2018 4 2017 1 2016 1

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2021 7

Deep Neural Network with Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation
IEEE Transactions on Medical Imaging, 28 May 2021, article number 9443209
Seo, Hyunseok; Yu, Lequan; Ren, Hongyi; Li, Xiaomeng; Shen, Liyue; Xing, Lei Article
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
IEEE Transactions on Medical Imaging, v. 40, (1), January 2021, article number 9201079, p. 228-238
Yu, Lequan; Zhang, Zhicheng; Li, Xiaomeng; Xing, Lei Article
Global guidance network for breast lesion segmentation in ultrasound images
Medical Image Analysis, v. 70, May 2021, article number 101989
Xue, Cheng; Zhu, Lei; Fu, Huazhu; Hu, Xiaowei; Li, Xiaomeng; Zhang, Hai; Heng, Pheng-Ann Article
Metal artifact reduction in 2D CT images with self-supervised cross-domain learning
Physics in Medicine and Biology, v. 66, (17), August 2021, article number 175003
Yu, Lequan; Zhang, Zhicheng; Li, Xiaomeng; Ren, Hongyi; Zhao, Wei; Xing, Lei Article
Rotation-Oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis
IEEE Transactions on Medical Imaging, v. 40, (9), September 2021, article number 9411868
Li, Xiaomeng; Hu, Xiaowei; Qi, Xiaojuan; Yu, Lequan; Zhao, Wei; Heng, Pheng-Ann; Xing, Lei Article
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (2), February 2021, article number 9104928, p. 523-524
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann Article
Improved Heatmap-Based Landmark Detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13003 LNCS, 2021, p. 125-133
Yao, Huifeng; Guo, Ziyu; Zhang, Yatao; Li, Xiaomeng Conference paper

2020 7

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
IEEE Transactions on Medical Imaging, v. 39, (5), May 2020, p. 1483-1493
Li, Xiaomeng; Hu, Xiaowei; Yu, Lequan; Zhu, Lei; Fu, Chi-Wing; Heng, Pheng-Ann Article
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
Physics in Medicine & Biology, 23 December 2020
Jia, Mengyu; Li, Xiaomeng; Wu, Yan; Yang, Yong; Kasimbeg, Priya; Skinner, Lawrie B.; Wang, Lei; Xing, Lei Article
Deep Sub-region Network for Salient Object Detection
IEEE Transactions on Circuits and Systems for Video Technology, 20 April 2020
Wang, Liansheng; Chen, Rongzhen; Zhu, Lei; Xie, Haoran; Li, Xiaomeng Article
Revisiting metric learning for few-shot image classification
Neurocomputing, v. 406, September 2020, p. 49-58
Li, Xiaomeng; Yu, Lequan; Fu, Chi-Wing; Fang, Meng; Heng, Pheng-Ann Article
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
IEEE Transactions on Medical Imaging, v. 39, (12), December 2020, p. 4023-4033
Li, Xiaomeng; Jia, Mengyu; Islam, Md Tauhidul; Yu, Lequan; Xing, Lei Article
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12266 LNCS, 2020, p. 579-588
Xue, Cheng; Deng, Qiao; Li, Xiaomeng; Heng, Pheng-Ann Conference paper
Difficulty-aware meta-learning for rare disease diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12661 LNCS, 2020, p. 357-366
Li, Xiaomeng; Yu, Lequan; Jin, Yueming; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann Conference paper

2019 2

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
29th British Machine Vision Conference, BMVC 2018, Northumbria UniversityNewcastle; United Kingdom, 3-6 September 2018
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11765 LNCS, 2019, p. 605-613
Yu, Lequan; Wang, Shujun; Li, Xiaomeng; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper

2018 4

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Medical Image Analysis, v. 45, April 2018, p. 41-54
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Qi, Xiaojuan; Belavy, Daniel L.; Armbrecht, Gabriele; Felsenberg, Dieter; Zheng, Guoyan; Heng, Pheng-Ann Article
Feature-preserving ultrasound speckle reduction via L₀ minimization
Neurocomputing, v. 294, June 2018, p. 48-60
Zhu, Lei; Wang, Weiming; Li, Xiaomeng; Wang, Qiong; Qin, Jing; Wong, Kin-Hong; Choi, Kup-Sze; Fu, Chi-Wing; Heng, Pheng-Ann Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
IEEE Transactions on Medical Imaging, v. 37, (12), Deccember 2018, p. 2663-2674
Li, Xiaomeng; Chen, Hao; Qi, Xiaojuan; Dou, Qi; Fu, Chi-Wing; Heng, Pheng-Ann Article
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11041 LNCS, 2018, p. 235-243
Li, Xiaomeng; Yu, Lequan; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper

2017 1

Ultrasound speckle reduction via L₀ minimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10113 LNCS, 2017, p. 50-65
Zhu, Lei; Wang, Weiming; Li, Xiaomeng; Qin, Jing; Wong, Kin-Hong; Heng, Pheng-Ann Conference paper

2016 1

Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper


Expand All Collapse All


Article 6

Deep Neural Network with Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation
IEEE Transactions on Medical Imaging, 28 May 2021, article number 9443209
Seo, Hyunseok; Yu, Lequan; Ren, Hongyi; Li, Xiaomeng; Shen, Liyue; Xing, Lei
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
IEEE Transactions on Medical Imaging, v. 40, (1), January 2021, article number 9201079, p. 228-238
Yu, Lequan; Zhang, Zhicheng; Li, Xiaomeng; Xing, Lei
Global guidance network for breast lesion segmentation in ultrasound images
Medical Image Analysis, v. 70, May 2021, article number 101989
Xue, Cheng; Zhu, Lei; Fu, Huazhu; Hu, Xiaowei; Li, Xiaomeng; Zhang, Hai; Heng, Pheng-Ann
Metal artifact reduction in 2D CT images with self-supervised cross-domain learning
Physics in Medicine and Biology, v. 66, (17), August 2021, article number 175003
Yu, Lequan; Zhang, Zhicheng; Li, Xiaomeng; Ren, Hongyi; Zhao, Wei; Xing, Lei
Rotation-Oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis
IEEE Transactions on Medical Imaging, v. 40, (9), September 2021, article number 9411868
Li, Xiaomeng; Hu, Xiaowei; Qi, Xiaojuan; Yu, Lequan; Zhao, Wei; Heng, Pheng-Ann; Xing, Lei
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (2), February 2021, article number 9104928, p. 523-524
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann

Conference paper 1

Improved Heatmap-Based Landmark Detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13003 LNCS, 2021, p. 125-133
Yao, Huifeng; Guo, Ziyu; Zhang, Yatao; Li, Xiaomeng


Expand All Collapse All


Article 5

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
IEEE Transactions on Medical Imaging, v. 39, (5), May 2020, p. 1483-1493
Li, Xiaomeng; Hu, Xiaowei; Yu, Lequan; Zhu, Lei; Fu, Chi-Wing; Heng, Pheng-Ann
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
Physics in Medicine & Biology, 23 December 2020
Jia, Mengyu; Li, Xiaomeng; Wu, Yan; Yang, Yong; Kasimbeg, Priya; Skinner, Lawrie B.; Wang, Lei; Xing, Lei
Deep Sub-region Network for Salient Object Detection
IEEE Transactions on Circuits and Systems for Video Technology, 20 April 2020
Wang, Liansheng; Chen, Rongzhen; Zhu, Lei; Xie, Haoran; Li, Xiaomeng
Revisiting metric learning for few-shot image classification
Neurocomputing, v. 406, September 2020, p. 49-58
Li, Xiaomeng; Yu, Lequan; Fu, Chi-Wing; Fang, Meng; Heng, Pheng-Ann
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
IEEE Transactions on Medical Imaging, v. 39, (12), December 2020, p. 4023-4033
Li, Xiaomeng; Jia, Mengyu; Islam, Md Tauhidul; Yu, Lequan; Xing, Lei

Conference paper 2

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12266 LNCS, 2020, p. 579-588
Xue, Cheng; Deng, Qiao; Li, Xiaomeng; Heng, Pheng-Ann
Difficulty-aware meta-learning for rare disease diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12661 LNCS, 2020, p. 357-366
Li, Xiaomeng; Yu, Lequan; Jin, Yueming; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann


Expand All Collapse All


Conference paper 2

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
29th British Machine Vision Conference, BMVC 2018, Northumbria UniversityNewcastle; United Kingdom, 3-6 September 2018
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11765 LNCS, 2019, p. 605-613
Yu, Lequan; Wang, Shujun; Li, Xiaomeng; Fu, Chi-Wing; Heng, Pheng-Ann


Expand All Collapse All


Article 3

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Medical Image Analysis, v. 45, April 2018, p. 41-54
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Qi, Xiaojuan; Belavy, Daniel L.; Armbrecht, Gabriele; Felsenberg, Dieter; Zheng, Guoyan; Heng, Pheng-Ann
Feature-preserving ultrasound speckle reduction via L₀ minimization
Neurocomputing, v. 294, June 2018, p. 48-60
Zhu, Lei; Wang, Weiming; Li, Xiaomeng; Wang, Qiong; Qin, Jing; Wong, Kin-Hong; Choi, Kup-Sze; Fu, Chi-Wing; Heng, Pheng-Ann
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
IEEE Transactions on Medical Imaging, v. 37, (12), Deccember 2018, p. 2663-2674
Li, Xiaomeng; Chen, Hao; Qi, Xiaojuan; Dou, Qi; Fu, Chi-Wing; Heng, Pheng-Ann

Conference paper 1

Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11041 LNCS, 2018, p. 235-243
Li, Xiaomeng; Yu, Lequan; Fu, Chi-Wing; Heng, Pheng-Ann


Expand All Collapse All


Conference paper 1

Ultrasound speckle reduction via L₀ minimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10113 LNCS, 2017, p. 50-65
Zhu, Lei; Wang, Weiming; Li, Xiaomeng; Qin, Jing; Wong, Kin-Hong; Heng, Pheng-Ann


Expand All Collapse All


Conference paper 1

Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann


Expand All Collapse All


2016 1

Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 7 2020-21 Summer 6 2020-21 Spring 1 2020-21 Winter 0 2020-21 Fall 0

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COMP4981 Final Year Project
ELEC2910 Academic and Professional Development I
ELEC4940B Independent Study
ELEC6950A Departmental Seminar
ELEC6950B Departmental Seminar
UROP1100E Undergraduate Research Opportunities Series 1
UROP2100E Undergraduate Research Opportunities Series 2


COMP4981 Final Year Project
CPEG4911 Computer Engineering Final Year Project in ELEC
ELEC4900 Final Year Design Project
ELEC4901 Final Year Thesis
UROP1000 Undergraduate Research Opportunities
UROP1100D Undergraduate Research Opportunities Series 1


ELEC1200 A System View of Communications: from Signals to Packets


No Teaching Assignments


No Teaching Assignments


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)

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Current RPGs

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Doctor of Philosophy DAI, Weihang (co-supervision)
Computer Science and Engineering( 2021 - )

DING, Xinpeng
Electronic and Computer Engineering( 2021 - )

LI, Shuhan (co-supervision)
Computer Science and Engineering( 2021 - )

LIN, Yiqun
Electronic and Computer Engineering( 2021 - )

WU, Huimin (co-supervision)
Computer Science and Engineering( 2021 - )

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Master of Philosophy FAN, Hanwei (co-supervision)
Microelectronics( 2021 - )

WANG, Piaohong
Electronic and Computer Engineering( 2021 - )









ProjectsFrom January 2020 to December 2022

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All Projects 1

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No Projects.
Generalizable semi-supervised methods for medical image segmentation


針對醫學影像分割的可泛化的半監督學習方法研究 Leading


Shenzhen Science and Technology Innovation Strategy Research and Technology Transfer Promotion Center


Project Team (HKUST)
LI Xiaomeng (Lead)


2021 -