Education

University of Texas at Austin, TX

Ph.D. candidate in Computer Science / Sept. 2010 - Present

National Taiwan University, Taipei, Taiwan

B.S. in Computer Science / Sept. 2005 - June 2009

Experience

LinkedIn, Mountain View, CA

SNA Software Engineering Intern / June 2015 - Aug. 2015

eBay Inc, San Jose, CA

Technical Research Intern / May 2013 - Aug. 2013

University of Texas at Austin, TX

Teaching Assistant and Graduate Research Assistant / Fall 2011 - Present

  • TA of Machine learning and vision, Fall 2015.

  • TA of Numerical analysis: Linear Algebra, Fall 2014.
  • Publications

  • Robust Principal Component Analysis with Side Information

  • Kai-Yang Chiang, Cho-Jui Hsieh and Inderjit Dhillon.
    International Conference on Machine Learning (ICML 2016).

  • Matrix Completion with Noisy Side Information

  • Kai-Yang Chiang, Cho-Jui Hsieh and Inderjit Dhillon.
    Advances in Neural Information Processing Systems (NIPS 2015). Spotlight.

  • Prediction and Clustering in Signed Networks: A Local to Global Perspective

  • Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari and Inderjit Dhillon.
    Journal of Machine Learning Research (JMLR 2014).

  • Scalable Clustering of Signed Networks using Balance Normalized Cut

  • Kai-Yang Chiang, Joyce Whang and Inderjit Dhillon.
    ACM Conference on Information and Knowledge Management (CIKM 2012).

  • Low Rank Modeling of Signed Networks

  • Cho-Jui Hsieh, Kai-Yang Chiang and Inderjit Dhillon.
    Knowledge Discovery and Data Mining Conference (KDD 2012).

  • Exploiting Longer Cycles for Link Prediction in Signed Networks

  • Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari and Inderjit Dhillon.
    ACM Conference on Information and Knowledge Management (CIKM 2011).

  • Community-based Game Design: Experiments on Social Games for Commonsense Data Collection

  • Yen-Ling Kuo, Kai-Yang Chiang, Chan-Wei Chan, Jong-Chuan Lee, Rex Wang, Edward Shen and Yuan-jen Hsu.
    Human Computation Workshop (HComp2009).

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