Talks


  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Big Data Innovation Summit Boston 2017 , Boston, MA, September 2017. [Slides]
  • AI in E-Commerce at Etsy” at Insights Data Science, New York City, NY, August 2017. [Slides]
  • AI in E-Commerce at Etsy” at Machine Learning Summit, Beijing, China, June 2017. [Slides]
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Chinese Academy of Sciences, Beijing, China, June 2017. [Slides]
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Data Science Pop-up, New York City, NY, June 2017. [Slides]
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Machine Learning Innovation Summit, San Francisco, CA, June 2017. [Slides]
  • GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at CSE Dept. at Lehigh University, Bethlehem, PA, April 2017. [Slides]
  • 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]
  • Data Science at Etsy” at Department of Statistics at Columbia University, New York, NY, Dec. 2016.
  • 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]
  • Learning to Rank Social Update Streams” at SIGIR 2012, Portland, Oregon, August, 2012.
  • Tracking Trends: Incorporating Term Volumes into Temporal Topic Models” at 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 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 SocialCom 2009, Vancouver, August 2009.
  • A Classification-Based Approach to Question Answering in Discussion Boards” at SIGIR 2009, Boston, July 2009.