Joonseok Lee

Joonseok Lee is a research engineer in Video Content Analysis team, in Machine Perception at Google Research. He is mainly working on content-based YouTube Video Recommendation, utilizing video features extracted using Google Brain. He earned his Ph. D. in Computer Science from Georgia Institute of Technology in August 2015, under the supervision of Dr. Guy Lebanon and Prof. Hongyuan Zha. His thesis is about local approaches for collaborative filtering, with recommendation systems as the main application. He has done three internships during Ph.D, including Amazon (2014 Summer), Microsoft Research (2014 Spring), and Google (2013 Summer). Before coming to Georgia Tech, he worked in NHN corp. in Korea (2007-2010). He received his B.S degree in computer science and engineering from Seoul National University, Korea. His paper "Local Collaborative Ranking" received the best student paper award from the 23rd International World Wide Web Conference (2014). He has served as a program committee in many conferences including NIPS, AAAI, WSDM, and CIKM, and journals including JMLR, ACM TIST, and IEEE TKDE. He served as the publicity chair for AISTATS 2015 conference. He is currently serving as a reviewer for Google Faculty Research Awards Program. More information is available in his website (http://www.joonseok.net).

Google Publications

Previous Publications

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    Estimating Temporal Dynamics of Human Emotions

    Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI) (2015)

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    Leveraging Knowledge Bases for Contextual Entity Exploration

    Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv

    Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), ACM (2015)

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    Local Approaches for Collaborative Filtering

    Joonseok Lee

    Ph.D. Thesis (2015), pp. 1-158

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    Local Context Sparse Coding

    Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI) (2015)

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    A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison

    Joonseok Lee, Hanggjun Cho, R. I. (Bob) McKay

    IEEE Transactions on Human-Machine Systems, vol. 45 (2014), pp. 2168-2291

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    Learning Multiple-Question Decision Trees for Cold-Start Recommendation

    Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha

    Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM), ACM (2013)

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    A Comparative Study of Collaborative Filtering Algorithms

    Joonseok Lee, Mingxuan Sun, Guy Lebanon

    ArXiv 1205:3193 (2012)

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    Automatic Feature Induction for Stagewise Collaborative Filtering

    Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon

    Advances in Neural Information Processing Systems (NIPS) (2012)

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    PREA: Personalized Recommendation Algorithms Toolkit

    Joonseok Lee, Mingxuan Sun, Guy Lebanon

    Journal of Machine Learning Research (JMLR), vol. 13 (2012), pp. 2699-2703

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    Rapid Screening of Keyboard Layouts

    Joonseok Lee, Hanggjun Cho, R. I. (Bob) McKay

    Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE (2012)

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    Optimizing a Personalized Cellphone Keypad

    Joonseok Lee, R. I. (Bob) McKay

    Proceedings of the 5th International Conference on Convergence and Hybrid Information Technology (ICHIT) (2011), pp. 237-244