About Me

Yu-Ying Liu
Email: yuyingliu@gatech.edu

Computer Science PhD student
College of Computing
Georgia Institute of Technology
Advisor: Dr. James M. Rehg


Hi, I am a Computer Science Ph.D. student in College of Computing, Georgia Tech. I received my B.S. and M.S. in Compute Science and Information Engineering from National Taiwan University (NTU) in 2002 and 2004, respectively. I conducted my master research in Digital Speech Processing Lab, NTU, supervised by Prof. Lin-Shan Lee. After graduation, I had worked as a software engineer in Realtek and Vivotek, respectively.
I began my Ph.D. research in Georgia Tech from Fall 2008. My research interests include computer vision, machine learning, and medical image processing. My current research focuses on designing novel algorithms for applications in biomedical field.

Publications

Conference Publication

  • Amrita Gupta, Yu-Ying Liu, Jimeng Sun, and James M. Rehg,
    Visualizing State-Based Hypertension Progression Models
    IEEE Visualization workshop on EHR(Electronic Health Record) data (IEEE Visualization workshop 2014, Paris, France) [PDF]

  • Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel Schuman, and James M. Rehg,
    Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model
    International Conference on Medical Image Computing and Computer Assisted Intervention, 2013 (MICCAI 2013, Nagaya, Japan) [PDF]

  • Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel Schuman, and James M. Rehg,
    Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction
    International Conference on Medical Image Computing and Computer Assisted Intervention, 2012 (MICCAI 2012, Nice, France) [PDF] [Project Webpage]

  • Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, and James M. Rehg,
    Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns
    International Conference on Medical Image Computing and Computer Assisted Intervention, 2010 (MICCAI 2010, Beijing, China) (Oral presentation, acceptance rate: 5.7% out of 786 submissions)
    (Finalist (Top 15) of MICCAI Young Scientist Award)
    [PDF] [Slides] [Project Webpage]

  • Yi-Cheng Pan, Yu-Ying Liu, and Lin-Shan Lee,
    Named Entity Recognition from Spoken Documents Using Global Evidences and External Knowledge Sources with Applications on Mandarin Chinese [PDF]
    IEEE Automatic Speech Recognition and Understanding workshop, 2005 (ASRU 2005, Mexico)(Poster)

Journal Publication

  • Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, and James M. Rehg,
    Automated Macular Pathology Diagnosis in Retinal OCT Images using Multi-scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding
    Medical Image Analysis 15, 2011 [PDF]

  • Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Jay S. Duker, James G. Fujimoto, Joel S. Schuman, and James M. Rehg,
    Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features
    Investigative Ophthalmology and Visual Science, 2011 [PDF]

Conference Abstract

  • Yu-Ying Liu , Hiroshi Ishikawa, Gadi Wollstein, Richard A. Bilonick, James G. Fujimoto, Cynthia Mattox, Jay S. Duker, Joel S. Schuman, James M. Rehg,
    Assessment of Age Effect in Structural and Functional Glaucoma Progression Analysis
    Annual Meeting of the Association for Research in Vision and Ophthalmology(ARVO 2014, Orlando, FL)(Poster) [Poster PDF]
  • Yu-Ying Liu , Hiroshi Ishikawa, Gadi Wollstein, Richard A. Bilonick, James G. Fujimoto, Cynthia Mattox, Jay S. Duker, Joel S. Schuman, James M. Rehg,
    Predicting Future Observations of Functional and Structural Measurements in Glaucoma Using a Two-Dimensional State-based Progression Model
    Annual Meeting of the Association for Research in Vision and Ophthalmology, ISIE Imaging Conference (ARVO ISIE 2014, Orlando, FL)(Poster) [Poster PDF]
  • Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, James M. Rehg,
    Automated Foveola Localization in Three Dimensional (3D) Optical Coherence Tomography (OCT) Images with Various Macular Pathologies
    Annual Meeting of the Association for Research in Vision and Ophthalmology(ARVO 2012, Fort Lauderdale, FL)(Poster)
  • Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, James M. Rehg,
    Automated Macular Pathology Diagnosis in SD-OCT Scans Based on Multi-Scale Texture and Shape Features within a Pathology-Specific Spatial Mask
    Annual Meeting of the Association for Research in Vision and Ophthalmology(ARVO 2011, Fort Lauderdale, FL)(Poster) [Poster PDF]
  • Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, James M. Rehg,
    Automated Macular Pathology Diagnosis in Three-Dimensional (3D) Spectral Domain Optical Coherence Tomography (SD-OCT) Images
    Annual Meeting of the Association for Research in Vision and Ophthalmology(ARVO 2010, Fort Lauderdale, FL)(Poster)

Honors and Awards

  • Finalist (Top 15) of MICCAI Young Scientist Award, 2010
  • Awardee of MICCAI Conference Travel Grant, 2010
  • Awardee of ARVO Conference Travel Grant Award for Retinal Research, 2010
  • Awardee of Taiwan Ministry of Education Scholarship for Ph.D study, 2008-2010
  • Honorary member, The Phi Tau Phi Scholastic Honor Society of the Republic of China, 2004
  • 1st Place Award, First Chunghwa Cup, Competition of National Computer Game Development, Taiwan, 2001

Teaching Experience

  • Teaching Assistant, College of Computing, Georgia Institute of Technology, 2008 Fall
    Course: Iterative methods for linear and nonlinear equations (Prof. Hongyuan Zha)
  • Teaching Assistant, CSIE, National Taiwan University, 2002 Spring
    Course: Algorithm (Prof. Wen-Ming Yen)