CV


Recent Employments

  • Etsy Inc.
    Senior Manager, Head of Data Science, 2016 – Present

    • Search and Discovery
    • Personalization and Recommendation
    • Computational Advertising
    • Deep Learning and Image Understanding
  • Yahoo Research
    Senior Manager of Research, Search and Personalization Sciences, 2013 – 2016

    • Design and build a large-scale machine learning system to power the next generation card-driven mobile search experiences for millions of users, utilizing learning-to-rank, deep learning and causal inference techniques.
      3 patents filed.
    • Build large-scale ranking models to personalize Yahoo homepage content items for billions of U.S. users and improve 10% over a major user engagement metric (usually 1% considered as significant), utilizing ensemble methods, tree-based models and online learning.
      2 publications with 1 Best Paper Award in prestige conferences and 4 internal publications.
    • Build large-scale ranking models to personalize Yahoo homepage content items for millions of users in 20+ international markets with 20% improvements over a major user engagement metric (usually 2% considered as significant), utilizing ensemble methods, tree-based models and multi-armed bandit algorithms.
    • Build large-scale statistical models to track and predict click-through-rate (CTR) of native streaming ads with 2% improvements over a multi-year production system, utilizing generalized linear models and online learning.

Education

Patents

  • US Patent US 20170098283 A1: “Methods, Systems and Techniques for Blending Online Content From Multiple Disparate Content Sources Including a Personal Content Source or a Semi-Personal Content Source“. Apr 6, 2017.
  • US Patent US 20170097933 A1: “Methods, Systems and Techniques for Ranking Blended Content Retrieved from Multiple Disparate Content Sources“. Apr 6. 2017.

Selected Publications

  • T. Chen, Y. Sun, Y. Shi and L. Hong. On Sampling Strategies for Neural Network-based Collaborative Filtering. In the proceedings of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia, August, 2017. (Full Paper, 17% Acceptance) [Local Copy] [Local Supplementary] [DOI]
  • Q. Zhao, Y. Shi and L. Hong. GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. In the proceedings of the 26th International Conference on World Wide Web (WWW 2017), Perth, Australia, April, 2017. (Full Paper, 17% Acceptance) [Local Copy] [DOI]
  • X. YiL. HongE. ZhongNN. Liu and S. RajanBeyond Clicks: Dwell Time in Personalization. In the proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, Silicon Valley, USA, October, 2014. (Full Paper, 23% Acceptance) [Local Copy] [DOI] Best Paper Award
  • A. AhmedL. Hong and A. SmolaNested Chinese Restaurant Franchise Process:  Applications to User Tracking and Document Modeling. In the proceedings of the 30th International Conference on Machine Learning (ICML 2013), Atlanta, GA, May, 2013. [PDF] [Supplementary]
  • A. AhmedL. Hong and A. SmolaHierarchical Geographical Modeling of User Locations from Social Media Posts. In the proceedings of the 22nd International Conference on World Wide Web (WWW 2013), Rio de Janeiro, Brazil, May, 2013. [Local Copy] [DOI]
  • L. HongA. Doumith and B. D. Davison. Co-Factorization Machines: Modeling User Interests and Predicting Individual Decisions in Twitter. In the proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, Feb, 2013. [Local Copy] [DOI] Best Paper Nominated
  • L. HongA. AhmedS. GurumurthyA. Smola and K. TsioutsiouliklisDiscovering Geographical Topics in the Twitter Stream. In the proceedings of the 21st International Conference on World Wide Web (WWW 2012), Lyon, France, 2012. [Local Copy] [DOI] [Slides]
  • L. HongO. Dan and B. D. DavisonPredicting Popular Messages in Twitter [Poster]. In the proceedings of the 20th international conference on World Wide Web (WWW 2011), Hyderabad, India. [Local Copy] [DOIBest Poster Award

Selected Talks & Presentations

Selected Awards and Honors

  • Yahoo Patent Milestone Award 2016
  • RecSys Best Paper Award 2014
  • WSDM Best Paper Nominated 2013
  • Dean’s Teaching Assistantship & Research Assistantship 2012
  • Rossin Doctoral Fellows 2012
  • KDD Student Travel Grant 2011
  • WWW Best Poster Award 2011

Selected Professional Activities

Mentorship

  • Liang Wu — Arizona State University (2017 Summer)
  • Wei Qian — Cornell University (2017 Summer)
  • Qian Zhao — University of Minnesota (2016 Summer)
  • Qingyun Wu — University of Virginia (2016 Summer)
  • Yue Ning — Virginia Tech University (2016 Summer)
  • Ting Chen — Northeastern University (2016 Summer)
  • Jay-Yoon Lee — Carnegie Mellon University (2015 Summer)
  • Shalmali Joshi — University of Texas at Austin (2015 Summer)
  • Mingjie Qian — University of Illinois at Urbana-Champaign (2014 Summer) -> Yahoo Labs -> Microsoft

Collaborators