profile pic

Yu Meng


Department of Computer Science
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-3175

Email: yumeng AT cs DOT unc DOT edu

About Me
Publications
Projects
Teaching
Software

I am working at Google now :-)

When I was a Ph.D student in the Department of Computer Science in the University of North Carolina at Chapel Hill, my research interest was Medical Image Analysis and Machine Learning. I did my research in IDEA Lab, supervised by Prof. Dinggang Shen.

I am also interested in Computer Graphics :-)

I received my master's degree from Tsinghua Univeristy, Beijing, China, and bachelor's degree from Tongji Univeristy, Shanghai, China. I had an internship at Internet Graphics Group in Microsoft Research Asia (MSRA) in 2011 and 2012, and had an internship at Samsung Information Systems America (SISA) in 2013.

Full Papers


Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen. Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. (accept)

Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen. 4D Infant Cortical Surface Atlas Construction using Spherical Patch-based Sparse Representation. MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. (accept)

Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. Exploring Gyral Patterns of Infant Cortical Folding based on Multi-view Curvature Information. MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017. (accept)

Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen. Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 10, 2017. (accept)

Yu Meng, Gang Li, Islem Rekik, Han Zhang, Yaozong Gao, Weili Lin, Dinggang Shen. Can we predict subject-specific dynamic cortical thickness maps during infancy from birth? Human Brain Mapping, 38(6): 2865–2874, (2017) [paper].

Yu Meng, Gang Li, Yaozong Gao, Weili Lin, Dinggang Shen. Learning-based Subject-specific Estimation of Dynamic Maps of Cortical Morphology at Missing Time Points in Longitudinal Infant Studies. Human Brain Mapping 37 (11), 4129-4147 (2016) [Paper]

Yu Meng, Gang Li, Li Wang, Weili Lin, John Gilmore, Dinggang Shen. Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-scale Dataset. MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Paper]

Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen. Learning-based Topological Correction for Infant Cortical Surfaces. MICCAI 2016, Athens, Greece, Oct. 17–21, 2016. [Paper]

Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen. Subject-specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015. [Paper]

Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen. Cortical Surface-based Construction of Individual Structural Network with Application to Early Brain Development Study. MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [Paper] [Video]

Yu Meng, Hui Zhang, Mengchen Liu, Shixia Liu. Clutter-Aware Label Layout. IEEE PacificVis 2015. [Paper]

Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen. Automatic Parcellation of Cortical Surfaces using Random Forests. IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, April 2015. [Paper]

Yu Meng*, Gang Li*, Weili Lin, John H. Gilmore, Dinggang Shen. Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. Neuroimage, 100 (October 2014), 206-218. (*Equal contribution) [Paper]

Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen. Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 2014. [Paper]

Yu Meng, Hui Zhang. Registration of point clouds using sample-sphere and adaptive distance restriction. (CGI' 2011) The Visual Computer, 27, 6-8 (June2011), 543-553. [Paper] [ProjectPage]

Yanbing Bai, Junhai Yong, Changyuan Liu, Xiaoming Liu, and Yu Meng. Polyline approach for approximating Hausdorff distance between planar free-form curves. Computer Aided Design, 43, 6 (June 2011), 686-698. [Paper]

Posters & Abstracts


Weili Lin, Yu Meng, Gang Li, Li Wang, Dinggang Shen . Spatiotemporal Developmental Trajectories of Cortical Thickness and Myelin Contents from Birth to 6 Years Old. OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017.

Han Zhang, Weiyan Yin, Yu Meng, Weili Lin, Dinggang Shen. Functional and Structural Developments of Medial Frontal Subdivisions in First 2 Years of Life. OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017.

Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen. Brain Fingerprinting for Assessment of Infant Brain Development. OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017.

Dingna Duan, Yu Meng, Shunren Xia, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. Exploring Infant Cortical Folding Patterns based on Multi-Scale Curvature Information. OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017.

Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen. Longitudinal Mapping of Development of Cortical Thickness and Surface Area during the First Year. OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017.

Zhengwang Wu, Gang Li, Yu Meng, Weili Lin, Dinggang Shen. Longitudinally consistent infant cortical surface atlases and parcellations from birth to 6 years of age. ISMRM, Hawaii, USA, April 22 - 27, 2017.

Yu Meng, Gang Li, Islem Rekik, Han Zhang, Yaozong Gao, Weili Lin, Dinggang Shen. Can we predict subject-specific dynamic cortical thickness maps during infancy from birth? 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switzerland, June 26 - 30, 2016.

ThicknessPrediction pic
Developing Cortical Thickness Prediction (UNC Chapel Hill)


CorticalNetwork pic
Cortical Surface-based Construction of Individual Structural Network (UNC Chapel Hill)


MissingData pic
Missing Cortical Attributes Estimation (UNC Chapel Hill)


Parcellation pic
Cortical Surface Parcellation (UNC Chapel Hill)


SulcalPits pic
Longitudinal Sulcal Pit Analysis (UNC Chapel Hill)


CCD pic
Continuous Collision Detection (UNC Chapel Hill)


RigidBodyDynamics pic
Physically Based Simulation (Course Project at UNC Chapel Hill)


PointClouds pic
Registration of Point Clouds (Institute of CG&CAD, Tsinghua University)


LabelLayout pic
Clutter-Aware Label Layout (Microsoft Research Asia)


SessionUU pic
Session UU (Microsoft Research Asia)


I was a Teaching Assistant of Comp 401: Foundations of Programming, at UNC-Chapel Hill, Fall 2012.

I was a Teaching Assistant of Comp 110: Introduction to Programming, at UNC-Chapel Hill, Spring 2013.

Software for Research Purpose



MyBoost pic

MyBoost is a basic C++ source code package for facilitating developing cortical surface-based analysis software. It provides a lot of fundamental classes, data structures, algorithms, and tools that are frequently used in cortical surface-based analysis.



ImageTool pic

ImageTool is a software package, which includes a number of programs that can be used to perform cortical surface-based operations and analysis.



DARF pic

Dynamically Assembled Regression Forest is a marching learning software, which can be used to estimate or predict the development of cortical attributes (e.g., cortical thickness) based on a longitudinal dataset.






Software for Fun


The following software/tools/games are developed in my sparse time. They are released to the public domain. Anyone can download or use them free, but please do use them legally!


LabelLayout pic
Tube Collector

Tube Collector is a free software, which helps you download YouTube videos or extract audio from YouTube videos.

!!! Due to the conflict of interest, this software is no longer available.



seperate line

Last Updated on Sep 04 2017.