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==== Conference Publications ==== | ==== Conference Publications ==== | ||
*Shenglin Zhao, Tong Zhao, Irwin King, Michael R Lyu. Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. In WWW Companion, 2017. | *Shenglin Zhao, Tong Zhao, Irwin King, Michael R Lyu. Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. In WWW Companion, 2017. | ||
- | *Tong Zhao, Irwin King. Constructing Reliable Gradient Exploration for Online Learning to Rank. In CIKM, 2016 (long paper, acceptance rate=17%, Best Student Paper Runner-up (Top 2 over 270 accepted papers, 0.7%)) | + | *Tong Zhao, Irwin King. Constructing Reliable Gradient Exploration for Online Learning to Rank. In CIKM, 2016 (Best Student Paper Runner-up (Top 2 over 270 accepted papers, 0.7%)) |
*Tong Zhao, H. Vicky Zhao, Irwin King. Exploiting Game Theoretic Analysis for Link Recommendation in Social Network. In CIKM 2015. | *Tong Zhao, H. Vicky Zhao, Irwin King. Exploiting Game Theoretic Analysis for Link Recommendation in Social Network. In CIKM 2015. | ||
*Tong Zhao, Julian McAuley, Irwin King. Improving Latent Factor Models Via Personalized Feature Projection for One Class Recommendation. In CIKM 2015. | *Tong Zhao, Julian McAuley, Irwin King. Improving Latent Factor Models Via Personalized Feature Projection for One Class Recommendation. In CIKM 2015. | ||
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==== Awards & Grants ==== | ==== Awards & Grants ==== | ||
+ | *Best Student Paper Runner-up, CIKM, 2016 | ||
*Postgraduate Studentship, The Chinese University of Hong Kong 2013-present | *Postgraduate Studentship, The Chinese University of Hong Kong 2013-present | ||
*National Scholarship for Postgraduate/Graduate students, Tsinghua University 2011 – 2012 | *National Scholarship for Postgraduate/Graduate students, Tsinghua University 2011 – 2012 | ||
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Supervisor: Prof. [[http://www.stat.rutgers.edu/home/tzhang/|Tong Zhang]] and Dr. Fen Xia. Research on Bandit problems (contextual bandit for Link Unit recommendation, convex bandit optimization for parameter tuning) dealing with big data (several TB) using Hadoop. | Supervisor: Prof. [[http://www.stat.rutgers.edu/home/tzhang/|Tong Zhang]] and Dr. Fen Xia. Research on Bandit problems (contextual bandit for Link Unit recommendation, convex bandit optimization for parameter tuning) dealing with big data (several TB) using Hadoop. | ||
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+ | ==== Working Experience==== | ||
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+ | Applied Scientist, Core Machine Learning Team, Amazon, Seattle, WA, U.S.\\ | ||
==== Contact Information ==== | ==== Contact Information ==== |