CV


Resume [PDF]
Chinese version

Employment

  • Etsy Inc.
    Head of Data Science, 2016 – Present
  • Yahoo Research
    Senior Manager of Research, Search and Personalization Sciences, 2013 – 2016

Education

Relevant Experience

Selected Publications [Full List]

  • T. Chen, Y. Sun, Y. Shi and L. Hong. On Sampling Strategies for Neural Network-based Collaborative Filtering. To appear 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)
  • 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. HongR. BekkermanJ. Adler and B. D. DavisonLearning to Rank Social Update Streams. In the proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2012), Portland, Oregon, August, 2012. [Local Copy] [DOI] [Slides]
  • 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. HongD. YinJ. Guo and B. D. DavisonTracking Trends: Incorporating Term Volume into Temporal Topic Models. In the proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA, 2011. [Local Copy] [DOI] [Slides]
  • L. Hong, B. Dom, S. Gurumurthy and K. TsioutsiouliklisA Time-Dependent Topic Model for Multiple Text Streams. In the proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA, 2011. [Local Copy][DOI]
  • 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
  • L. Hong and B. D. Davison. A Classification-Based Approach to Question Answering in Discussion Boards. In the proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2009), Boston, July 2009. [Local Copy] [DOI]

Talks & Presentations

  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Machine Learning Innovation Summit, San Francisco, CA, June 2017.
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at CSE Dept. at Lehigh University, Bethlehem, PA, April 2017.
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Global Predictive Analytics Conference, Santa Clara, CA, March 2017. [Slides]
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Predictive Analytics Innovation Summit, San Diego, CA, Feb. 2017. [Slides]
  • Personalization@Yahoo” at RED(小红书), Shanghai, China, June 2016.
  • Beyond Clicks: Dwell Time in Personalization” at Twitter, San Francisco, CA, June 2015.
  • Technical Interviews in Software/Internet Companies” in CS Dept. at Lehigh Univ. [Slides]
  • Modeling Temporal Dynamics & Geographical Language Variations in Social Streams” at Google, Mountain View, CA. [Slides]
  • Modeling Temporal Dynamics & Geographical Language Variations in Social Streams” at Rutgers, The State University of New Jersey, Newark, NJ. [Slides]
  • Modeling Temporal Dynamics & Geographical Language Variations in Social Streams” at Yahoo! Labs, Sunnyvale, CA, Nov. 2012. [Slides]
  • Personalized Retweet Prediction in Twitter” at the Fourth Workshop On Information In Networks (WIN 2012), New York City, NY, Sept. 2012. [Slides]
  • Tracking Trends: Incorporating Term Volumes into Temporal Topic Models” at the the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, Aug, 2011. [Slides]
  • Temporal Topic Modeling” at Yahoo! Labs, Sunnyvale, June, 2011
  • Understanding and Predicting Popular Messages in Twitter”  at Dept. of Computer Science and Engineering, Lehigh University, March, 2011.
  • Web Mining for Wikipedia”  at Dept. of Computer Science and Engineering, Lehigh University, December, 2010.
  • Empirical Study of Topic Modeling in Twitter”  at the 1st Workshop on Social Media Analytics (SOMA 2010), held in conjunction the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC., USA, July 25 – July 28, 2010.
  • Exploring and Understanding Social Media” at Dept. of Computer Science and Engineering, Lehigh University, November, 2009.
  • Tag Recommendation Using Keywords and Association Rules” at the 2009 ECML/PKDD Discovery Challenge Workshop, Bled, Slovenia, September 2009.
  • Incorporating Participant Reputation in Community-driven Question Answering Systems” at the 1st IEEE International Conference on Social Computing, Vancouver, August 2009.
  • A Classification-Based Approach to Question Answering in Discussion Boards” at the 32nd Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2009), Boston, July 2009.

Patents

  • Universal Blending Of Disparate Sources by S. Rajan, L. Hong, NN. Liu and S. Gaffney. [Filed]
  • Incorporating Screen Size of Info Cards for Optimizing Card Rankings for Mobile Products by N. Golbandi, X. Yi and L. Hong. [Filed]
  • Using User Engagements for Optimizing Card Ranking for Mobile Information Guide Products by X. Yi, L. Hong, Y. Shi, S. Rajan, A. Glass, Z. Yue. [Filed]

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
  • SIGIR 2012 Travel Grant
  • Rossin Doctoral Fellows 2012
  • KDD Student Travel Grant 2011
  • WWW Best Poster Award 2011
  • IBM SOMA 2010 Travel Grant
  • SIGIR 2009 Travel Grant
  • BASF Scholarship 2005-2006
  • Class II of People’s Scholarship 2005-2006
  • Certificate of Achievement of The ACM Asia Programming Contest 2005
  • The Second Prize of C Programming Language Group,
    — National Information Technology and Appliance Training Education 2005
  • Outstanding Individual in Undergraduate Education Evaluation 2005
  • Excellent Student 2004-2005
  • Class III of People’s Scholarship 2004-2005
  • Excellent Student Leader 2004
  • Excellent Student 2003-2004

Professional Activities

Memberships

  • ACM Member
  • IEEE Member

Mentorship

  • 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

Collaborators