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 Woosang Lim (임우상) (CV) 

Academic Position

Aug. 2017 - Present                 Postdoctoral Fellow, School of Computational Science and EngineeringGeorgia Tech, Atlanta, USA 
                                                 Email: woosang.lim(at)cc.gatech.edu
                                                            woosang.quasar
(at)gmail.com
                                                 Office: 1333, Klaus Advanced Computing Building, Georgia Tech, Atlanta, USA
                                                 Advisor: Haesun Park, Jimeng Sun
Education

Spring, Fall 2016, Spring 2017  Visiting Ph.D. Student, School of Computational Science and EngineeringGeorgia Tech, Atlanta, USA 
                                                  Co-Advisor: Haesun Park
Sep. 2012 - Aug. 2017             Ph.D., School of ComputingKAIST, Daejeon, Korea 
                                                 Advisor: Doo-Hwan Bae
                                                  Co-Advisor: Haesun Park
Feb. 2011 - Aug. 2012             MS, Department of Mathematical Science, KAIST, Daejeon, Korea 
                                                 Thesis: Fast Kernel k-Means and Kernel PCA via Subspace Approximation (Advisor: Kyomin Jung)
Mar. 2007 - Feb. 2011              BS, Department of Physics, Yeungnam University, Gyeongsan, Korea 
                                                 Summa Cum Laude
                                                 Double Major: Mathematics
                                                 Thesis: Application of Quaternion on Physics (Advisor:
Jin Hyuk Kwon)



Recent Works

Scalable Machine Learning (Keyword: Nystrom Method, Kernel PCA, Low-rank Approximation, Sampling Method, Spectral Method)
  • Efficient and Accurate Local Triangle Counting on Graph Streams based on Matrix FactorizationW. Lim (with J. Choi, and H. Park), submitted.
  • Double Nystrom Method: An Efficient and Accurate  Eigen-Decomposition of PSD Matrices by Compressing Sample Subspace, W. Lim (with D. Bae, H. Park, and K. Jung), submitted.
Publications (International)

1.  Hierarchical Ordering with Partial Pairwise Hierarchical Relationships on the Macaque Brain Data Sets, W. Lim, J. Lee, Y. Lim, D. Bae, H. Park, D. Kim, and K. Jung, PLoS One, 2017. [paper]

2.  Hadamard Product for Low-rank Bilinear PoolingJ. Kim, K. On, W. Lim, J. Kim, J. Ha, and B. ZhangICLR, 2017. [paper]

3.  Modeling Brain Hierarchical Structure using Graph-based Manifold Learning, W. Lim, J. Lee, Y. Lim, K. Jung, and D. Kim, Neuroscience, 2015.

4.  Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets, W. Lim, M. Kim, H. Park, and K. Jung, ICML, 2015. [paper] [code] [slides]

5.  Reward Shaping for Model-Based Bayesian Reinforcement Learning, H. Kim, W. Lim, K. Lee, Y. Noh, and K. Kim, AAAI, 2015.

6.  Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression, D. Kang, W. Lim, K. Shin, S. Lee, and U. Kang, CIKM, 2014.

7.  Optimizing Generative Dialog State Tracker via Cascading Gradient Descent, B. Lee, W. Lim, D. Kim, and K. Kim, SIGDIAL, 2014.

8.  Hierarchical Analysis in the Human Brain Connectivity Networks, J. Lee, Y. Lim, W. Lim, K. Jung, and D. Kim, Neuroscience, 2012.

9.  Scalable Kernel k-means via Centroid Approximation, B. Kang, W. Lim, and K. Jung, NIPS Workshop on Big Learning (BigLearn) 2011.


Publications (Domestic)

1.  소셜 네트워크 분석의 알고리즘적 접근, Y. Lim, W. Lim, and K. Jung, 컴퓨터이론연구회지, 2012

Awards & Honors


2016 - 2017           Google Ph.D. Fellow in Machine Learning, Google
                              Google Ph.D. Fellowship, USD 10,000

2015                       Spotlight PresenterMachine Learning Summer School (MLSS)

2015                       ICML 2015 Student Scholarship, International Machine Learning Society (IMLS)

2015                       Kim-Bo-Jung Fund Scholarship, First Prize in the Competition for Venture Research Program for Graduate Students, KAIST
                              Receiving Budget Support, KRW 40million (USD 36,300)

2010                       Bronze Medal, The 29th University Students Contest of Mathematics, Korean Mathematical Society

2008                       Honorable Mention, The 27th University Students Contest of Mathematics, Korean Mathematical Society

2011                       Distinguished Achievement Award, Y-Type Human Resources Who Brought Honor to Yeungnam University, Yeungnam University

2011 - Current        Government Scholarship Student, Korea

2009 - 2011            Government Scholarship, Project of Research of Green Energy, Korea

2007 - 2011            Department Scholarship, Yeungnam University

Fall 2011                Outstanding TA Award, Introduction to Linear Algebra, Department of Mathematical Sciences, KAIST

Academic Talks


Memory-Efficient and Fast Prediction for Local Triangle Counting on Graph Streams
Mar. 27, 2016            FROGRAMS, Korea

Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets
 
Dec.  19, 2015          FROGRAMS, Korea
Sept. 18, 2015         
NAVER LABS, NAVER, Korea
Aug.  25, 2015          Machine Learning Summer School (MLSS), Kyoto, Japan
July.  22, 2015          Seoul National University, Korea

Fast and Scalable Kernel PCA via Subspace Approximation
Jan.   31, 2015          The 9th ROSAEC Workshop, POSTECH, Korea

Teaching Experiences

Spring 2014           CS570 Artificial Intelligence and Machine Learning, graduate course, Head TA, KAIST

Spring 2012           MAS101 Calculus 1, undergraduate course, TA, KAIST

Fall 2011                MAS101 Introduction to Linear Algebra, undergraduate course, TA, KAIST