Academic Keynote and Invited Talks

• Keynote Talk “Computational Jobs Marketplace” at Decision Making for Information Retrieval and Recommender Systems workshop at The Web Conference 2023, Virtual Event, April 2023.
• Keynote Talk “Computational Jobs Marketplace” at RecSys in HR 2022, Virtual Event, September 2022.
• Keynote Talk “Recent Challenges and Advances in Industrial Recommender Systems” at First International Workshop on Industrial Recommendation Systems at KDD 2020, Virtual Event, August 2020. [Slides]
• Invited Talk “Recent Advances and Challenges in E-Commerce Search and Recommendation Systems” at WSDM 2020 Industrial Day Houston, Texas, Feb 2020. [Slides]
• Keynote Talk “Search for E-Commerce: (Not) Solved (Yet).” at The 2018 SIGIR Workshop On eCommerce, Ann Arbor, Michigan, July 2018. [Slides]
• Invited Talk at WSDM 2018‘s Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth, Los Angeles, CA, Feb 2018. [Slides]

Academic Conference Tutorials

• Tutorial “Online User Engagement: Metrics and Optimization” at KDD 2020, Virtual Event, August 2022. [Slides]
• Tutorial “Online User Engagement: Metrics and Optimization” at WWW 2019, San Francisco, CA, May 2019. [Slides]
• Tutorial “Tutorial on Metrics of User Engagement” at WSDM 2018, Los Angeles, CA, Feb 2018. [Slides]

University Invited Talks

• Invited Talk “Computational Jobs Marketplace” at Computer Science Dept., Michigan State University, East Lansing, MI, April 2023.
• Guest Lecture “Topics of Search Sciences and NLP in Industry” at College of Information Sciences and Technology, Penn State University, Virtual Event, April 2021.
• Invited Talk “Search for E-Commerce: (Not) Solved (Yet). ” at Department of Computer Science and Engineering in New York University, August 2018.
• Invited Talk “A Gradient-based Framework for Personalization” at Data Science Invited Talk Series, Indiana University at Bloomington, IN, November 2017. [Slides] [Video]
• Invited Talk “GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at Chinese Academy of Sciences, Beijing, China, June 2017. [Slides]
• Invited Talk “GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees” at CSE Dept. at Lehigh University, Bethlehem, PA, April 2017. [Slides]
• Invited Talk “Data Science at Etsy” at Department of Statistics at Columbia University, New York, NY, Dec. 2016.

Industrial Invited Talks

• “Computational Jobs Marketplace” (Chinese Edition) at SDCon 2023, Virtual Event, April 2023.
• “Computational Jobs Marketplace” at CBA AI Frontiers event, Virtual Event, October 2022.
• “Computational Jobs Marketplace” at Southern Data Science 2022, Atlanta, GA, September 2022.
• “Computational Jobs Marketplace” at Melbourne Search and Recommendation Group Meetup, Virtual Event, November 2021, [Slides]
• “Computational Jobs Marketplace” at The AI Summit | Silicon Valley, Virtual Event, November 2021. [Slides]
• “Recent Challenges and Advances in Industrial Recommender Systems” at Booking.Com, Virtual Event, December 2020. [Slides]
• “Recent Advances and Challenges in E-Commerce Search & Recommendation Systems” at Southern Data Science Conference, Virtual Event, August 2020. [Slides]
• “Turning Clicks into Purchases” at Machine Learning Innovation Summit, San Francisco, CA, May 2018. [Slides]
• Podcast at #DataTalk about “How Data Science is Improving E-Commerce“, April 2018. [Video]
• Talk at AICon 2018 about “AI for Search in E-Commerce“, Beijing, China, Jan 2018. [Slides]
• “A Gradient-based Framework for Personalization” at Global Artificial Intelligence Conference, New York, NY, October 2017. [Slides]
• “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 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 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]

Earlier Presentations

• “Personalization@Yahoo” at RED（小红书）, Shanghai, China, June 2016.
• “Beyond Clicks: Dwell Time in Personalization” at Twitter, San Francisco, CA, June 2015.
• “Modeling Temporal Dynamics & Geographical Language Variations in Social Streams” at Google, Mountain View, CA. [Slides]
• “Technical Interviews in Software/Internet Companies” in CS Dept. at Lehigh Univ. [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.