About Me

This is Xin Lin (Jimmy). I am currently a graduate student in the 5-Year BS/MS program at the University of Texas at Austin. My research mainly focuses on Scalable Machine Learning, and Statistical Modelling of Data.

GDC 4.408F, University of Texas at Austin, Austin, TX 78712

linxin at gmail dot com | jimmylin at utexas dot edu

Graduate Schools

The University of Texas at Austin

Master Candidate of Computer Science

(August 2015 -- July 2016)

Universities

My undergraduate career was a triple-A journey (Asia, Australia, and America).
This journey started from Beijing, transitted to Canberra, and then will be finalized in Austin.

The University of Texas at Austin

(August 2013 -- May 2015)

My senior year and super-senior year for bachelor degree was in College of Natural Sciences, The University of Texas At Austin. In Austin, I worked with Prof. Pradeep Ravikumar and Prof. Inderjit Dhillon.

Australian National University

(July 2012 -- June 2013)

My junior year began the CS study at the Australian National University. I obtained excellent coursework performance and became a member of the Computer Vision Research Group led by Prof. Stephen Gould.

Beijing Institute of Technology

(August 2010 -- June 2012)

My life of freshman and sophomore years were led in Beijing Institute of Technology, where I majored in Optical Electronics, at the College of Optoelectronics.

Awards, Honours, Prizes

  • Academic Awards:

    • Distinguished Scholars, 2015, UT Austin.
      Granted by School of Natural Sciences of The University of Texas at Austin to students who obtain excellent coursework performance.

    • Undergraduate Research Opportunity Scholarship (UROP), 2014, UT Austin.
      A scholarship granted by Department of Computer Science.

    • Dean's List Scholarship, 2013, ANU.
      A scholarship granted by College of Electrical and Computer Science at the Australian National University to students who obtain excellent coursework performance. I was awarded this scholarship as top one student within School of Computer Science.

  • Competition Prizes:

    • First Prize of dataHACK UT Challenge, 2014, UT Austin.
      Team Members: Xin Lin, En-Hsu Yen, Kai Zhong, Hsing-Fu Yu.
      A twelve-hour predictive modelling case competition co-organized by UT Business School and USAA.
      [ Link | Code ]

    • Seventh Place in the Open Mens Single Championships of Fujian Province, 2010, Fuzhou, China.

    • First Place in the High School Mens Team Championships of Fujian Province, 2009, Fuzhou, China.

    • Second Place in the High School Mens Single Championships of Fujian Province, 2009, Fuzhou, China.

  • Leaderships:

    • Captain of the Table Tennis B-Team at the University of Texas at Austin, , 2015, Austin, U.S.A.

    • President of the Table Tennis Association at Beijing Institute Technology, 2010-2012, Beijing, China.

    • Captain of the Table Tennis A-Team at Beijing Institute Technology, 2010-2012, Beijing, China.

    • Captain of the Table Tennis Team at Affiliated High School of Fujian Normal University, 2007-2010, Fuzhou, China.


Publications

  • A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.
    En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit Dhillon.
    Proceedings of The 32nd International Conference on Machine Learning, pp. 2418–2426, 2015
    [ Abstract | Paper | Poster | PPT | Code | Supplementary ]

CS Professional Services

  • Open-Source Contributions:

    • OpenNero: A Game Platform For Artificial Intelligence Research, hoster: Prof. Risto Miikkulainen.

    • Darwin: A Library For Computer Vision and Machine Learning, hoster: Prof. Stephen Gould.

  • Teaching Assistantships:

    • CS343 Artificial Intelligence, Fall 2015 @ UT Austin with Prof. Risto Miikkulainen.

    • CS343 Artificial Intelligence, Fall 2014 @ UT Austin with Prof. Risto Miikkulainen.

    • CS361 Introduction to Computer Security, Summer 2014 @ UT Austin with Dr. Bill Young.

  • Volunteering:

    • International Conference on Machine Learning 2015 (ICML-15), July 2015, Lille, France.

    • Machine Learning Summer School 2015 (MLSS-15) , January 2015, Austin, Texas.

Miscellaneous

  • Class Talks:
    • Neural Network: Multiagent Behaviors, Xin Lin and Barry Feigenbaum.
      Investigated the main topics of Multiagent Systems and presented in detail how reinforcement learning and neuroevolution can incorporate "advanced" multiagent behaviors like communication and coordination.
      [ Slides ]

  • Class Scribes:
    • CS388R Randomized Algorithms: Bloom Filters and Sketch Algorithms, Xin Lin, October 2015.
      Articulated the key points of Bloom Filters and Sketch Algorithms in the course CS388R Randomized Algorithms.
      [ Scribe ]
    • EE381V Large Scale Optimization: Proximal Algorithm, Xin Lin and Taewan Kim, November 2014.
      Articulated the key points of Proximal Algorithm lecture given in the course EE381V Large Scale Optimization.
      [ Scribe | Slides ]
    • EE381V Large Scale Optimization: Newton Method, Xin Lin, Vutha Va and David Inouye, September 2014.
      Articulated the key points of Proximal Algorithm lecture given in the course EE381V Large Scale Optimization.
      [ Scribe | Slides ]