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people:tong_zhao [2015/09/09 19:25] tzhao |
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| ====== Tong ZHAO ====== | ====== Tong ZHAO ====== | ||
| - | I'm a PhD student in CSE department at CUHK, advised by Prof. Irwin King. I'm broadly interested in machine learning, data mining, social computing and recommender systems. | + | I'm a PhD candidate in CSE department at CUHK, advised by Prof. Irwin King. I'm broadly interested in machine learning, data mining, social computing and recommender systems. |
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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. | ||
| + | *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 ==== | ||
