LinkedIn

• From 2024, I started to give a series of invited talks on the topic “Supercharging Jobs Marketplace” at
  • Keynote Talk at AdKDD 2024@KDD 2024 (August, 2024).
  • Keynote Talk at AI4HR & PES@ECML-PKDD 2024 (September, 2024).
• Between 2021 and 2023, I gave talks on the topic of “Computational Jobs Marketplace” at:
  • Invited Talks: Chinese edition at SDCon 2023 (April 2023), CS Dept. at Michigan State University (April 2023), CBA AI Frontiers event (October, 2022), Southern Data Science 2022 (September, 2022), Melbourne Search and Recommendation Group Meetup (November, 2021), The AI Summit | Silicon Valley (November, 2021).
  • Keynote Talks: Decision Making for Information Retrieval and Recommender Systems Workshop at The Web Conference 2023 (April 2023), RecSys in HR 2022 (September 2022)
• Tutorial “Online User Engagement: Metrics and Optimization” at KDD 2020, Virtual Event, August 2022. [Slides]
• Guest Lecture “Topics of Search Sciences and NLP in Industry” at College of Information Sciences and Technology, Penn State University, Virtual Event, April 2021.
• “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]
• 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]

Etsy

• 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]
• Tutorial “Online User Engagement: Metrics and Optimization” at WWW 2019, San Francisco, CA, May 2019. [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]
• Tutorial “Tutorial on Metrics of User Engagement” at WSDM 2018, Los Angeles, CA, Feb 2018. [Slides]
• 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]
• “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]
• Invited Talk “Data Science at Etsy” at Department of Statistics at Columbia University, New York, NY, Dec. 2016.

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.