2023

• 2023-04-30 I gave a Keynote Talk “Computational Jobs Marketplace” at Decision Making for Information Retrieval and Recommender Systems workshop at The Web Conference 2023, Virtual.
• 2023-04-28 I gave an Invited Talk “Computational Jobs Marketplace” at Computer Science Dept., Michigan State University, East Lansing, MI, April 2023.
• 2023-04-15 I gave an invited talk “Computational Jobs Marketplace” (a Chinese edition) at SDCon 2023, Virtual.

2022

• 2022-10-27 I gave an invited talk “Computational Jobs Marketplace” at the CBA AI Frontiers event, Virtual.
• 2022-09-22 I gave an invited talk “Computational Jobs Marketplace” at RecSys in HR 2022, Seattle, WA.
• 2022-09-08 I gave an invited talk “Computational Jobs Marketplace” at Southern Data Science 2022, Atlanta, GA.
• 2022-08-21 I published a new post about thoughts regarding KDD 2022.
• 2022-08-15 I co-organized KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
• 2022-02-25 I co-organized The First International Workshop on Computational Jobs Marketplace as part of WSDM 2022.

2021

• 2021-11-10 Invited Talk at Melbourne Search and Recommendation Group Meetup about “Computational Jobs Marketplace“, Virtual Event. [Slides]
• 2021-11-04 Invited Talk at The AI Summit | Silicon Valley about “Computational Jobs Marketplace“, Virtual Event. [Slides]
• 2021-04-20 Guest Lecture at College of Information Sciences and Technology, Penn State University about “Topics of Search Sciences and NLP in Industry”, Virtual Event.

2020

• 2020-12-02 Invited Talk at Booking.com about “Recent Challenges and Advances in Industrial Recommender Systems“, Virtual Event. [Slides]
• 2020-08-24 Keynote Talk at First International Workshop on Industrial Recommendation Systems at KDD 2020, Virtual Event. [Slides]
• 2020-08-23 Tutorial “Online User Engagement: Metrics and Optimization” at KDD 2020, Virtual Event. [Slides]
• 2020-08-12 Invited Talk at Southern Data Science Conference about “Recent Advances and Challenges in E-Commerce Search & Recommendation Systems“, Virtual Event. [Slides]
• 2020-02-03 Invited Talk at WSDM 2020 Industrial Day about “Recent Advances and Challenges in E-Commerce Search and Recommendation Systems“, Houston, Texas. [Slides]

2019

• 2019-10-07 Podcast Interview “Search at Etsy” via Programming Throwdown.
• 2019-05-14 Tutorial “Online User Engagement: Metrics and Optimization” at WWW 2019, San Francisco, CA. [Slides]
• 2019-05-09 Firechat at Criteo Commerce Forum with Criteo’s Senior VP and Head of AI Lab Suju Rajan about AI in E-commerce.

2018

• 2018-09-25 Talk at JD.Com Data Science Lab about “End-to-End AI Solutions in E-Commerce“, Beijing, China. [Slides]
• 2018-09-22 Talk at Machine Learning Summit about “End-to-End AI Solutions in E-Commerce“, Shanghai, China. [Slides]
• 2018-08-15 Talk at Department of Computer Science and Engineering in New York University about “Search for E-Commerce: (Not) Solved (Yet).“, New York. [Slides]
• 2018-07-12 Keynote Talk “Search for E-Commerce: (Not) Solved (Yet).” at The 2018 SIGIR Workshop On eCommerce, Ann Arbor, Michigan. [Slides]
• 2018-05-09 Talk at Machine Learning Innovation Summit, San Francisco, CA about “Turning Clicks into Purchases“. [Slides]
• 2018-04-24 Podcast at #DataTalk about “How Data Science is Improving E-Commerce“. [Video]
• 2018-03-07 Talk at Big Data Meetup, New York, NYC about “Machine Learning and AI at Etsy“. [Slides] [Video]
• 2018-02-09 Talk at WSDM 2018‘s Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth, Los Angeles, CA. [Slides]
• 2018-02-05 Tutorial “Tutorial on Metrics of User Engagement” at WSDM 2018, Los Angeles, CA. [Slides]
• 2018-01-13 Talk at AICon 2018 about “AI for Search in E-Commerce“, Beijing, China. [Slides]

2017

• 2017-11-10 Talk at Data Science Invited Talk Series, Indiana University at Bloomington about “A Gradient-based Framework for Personalization“. [Slides] [Video]
• 2017-10-23 Talk at Global Artificial Intelligence Conference, New York, NY about “A Gradient-based Framework for Personalization“. [Slides]
• 2017-09-07 Talk at Big Data Innovation Summit Boston 2017 , Boston, MA about “GB-CENT“. [Slides]
• 2017-08-10 Talk at Insights Data Science, New York about “AI in E-Commerce at Etsy“. [Slides]
• 2017-06-28 Talk at Machine Learning Summit, Beijing, China about “AI in E-Commerce at Etsy“. [Slides]
• 2017-06-23 Talk at Chinese Academy of Sciences, Beijing, China about “GB-CENT“. [Slides]
• 2017-06-14 Talk at Data Science Pop-up, New York City, NY about “GB-CENT“. [Slides]
• 2017-06-06 Talk at Machine Learning Innovation Summit, San Francisco, CA about “GB-CENT“. [Slides]
• 2017-06 I was invited to the program committee of WWW 2018.
• 2017-06 I was invited to the program committee of WSDM 2018.
• 2017-04 I was invited to the program committee of CIKM 2017.
• 2017-04-12 Talk at CSE Dept. at Lehigh University, Bethlehem, PA about “GB-CENT“. [Slides]
• 2017-03-28 Talk at Global Predictive Analytics Conference, Santa Clara, CA about “GB-CENT“. [Slides]
• 2017-02-22 Talk at Predictive Analytics Innovation Summit, San Diego, CA about “GB-CENT“. [Slides]

2016

• 2016-12-05 Talk at Department of Statistics at Columbia University, New York, NY about “Data Science at Etsy“.
• 2016-11 I was invited to the program committee of SIGIR 2017.
• 2016-08 I joined Etsy Inc. as the Head of Data Science and moved to New York City.
• 2016-06 I was invited to the program committee of WSDM 2017.
• 2016-06 I was invited to the program committee of WWW 2017 and WWW 2017 Poster Program.
• 2016-04 I was invited to the program committee of CIKM 2016 Industry Track.
• 2016-04 An article about using slice sampling to optimize LDA’s hyper-parameter is posted.
• 2016-03 An article about using binary search for sampling discrete distributions is posted.
• 2016-03 An article about sampling discrete distributions in log-space is posted.
• 2016-03 I was invited to the program committee of EMNLP 2016.

2015

• 2015-12 Two new posts about “personalized model” and “federated optimization“.
• 2015-12 A new post about “Building Software Systems: V1/V2” is posted.
• 2015-12 I was invited to the program committee of SIGIR 2016.
• 2015-10 I was invited to the program committee of KDD 2016.
• 2015-08 I was invited to the program committee of WWW 2016.
• 2015-08 A new post about Poisson factorization is posted.
• 2015-08 A new post about accurately measuring user engagements for a product is posted.
• 2015-07 The paper entitled as “Structured Sparse Regression for Recommender Systems” has been accepted in CIKM 2015.
• 2015-07 A new post about Hcatelog’s partition filter is posted.
• 2015-06 I was invited to the program committee of AIRS 2015.
• 2015-05 I was invited to the program committee of WSDM 2016.

2014

• 2014-12-28 I was invited to the program committee of SIGIR 2015.
• 2014-11-14 I was invited to the program committee of KDD 2015.
• 2014-10-08 Our paper entitled “Beyond Clicks: Dwell Time in Personalization” won the Best Paper Award at the 8th ACM Conference on Recommender Systems (RecSys 2014). See Yahoo Labs News.
• 2014-10-07 I recently contributed to a Yahoo Labs blog post to describe the idea and techniques to utilize dwell time, the amount of time users spend on content item pages, in recommendation and personalization problems.
• 2014-09-20 I was invited to the program committee of WWW 2015.
• 2014-07-06 Our paper entitled “Beyond Clicks: Dwell Time in Personalization” was accepted into the 8th ACM Conference on Recommender Systems (RecSys 2014) as a full paper with oral presentation.
• 2014-04-16 Shuang Yang from Twitter, Amr Ahmed from Google Research and I will organize The Second Workshop on User Engagement Optimization at KDD 2014. Stay tuned.
• 2014-05-15 I was invited to the program committee of CIKM 2014.
• 2014-04-15 Lehigh Resolve, the magazine for the engineering college, runs an article about our work in “Tweets Recommendation”.
• 2014-03-06 I was invited to the program committee of IEEE ICCC 2014 SNBD.
• 2014-02-28 I was featured in a Lehigh news article about our work in “Tweets Recommendation”. [Same article on phys.org]
• 2014-02-26 I served as the session chair for session “Recommender Systems and Networks” at WSDM 2014.

2013

• 2013-12-28 My research on “retweet prediction” (WWW 2011 & WSDM 2013) was featured in a news article on Lehigh University News.
• 2013-12-18 I was invited to the program committee of SIGIR 2014.
• 2013-11-01 Shuang-Hong Yang and I successfully organized The 1st Workshop on User Engagement Optimization (UEO).
• 2013-10-08 I was invited to the program committee of AAAI 2014.
• 2013-06-10 I was invited to the program committee of WSDM 2014.
• 2013-06-07 Our paper entitled “Academic Network Analysis: A Joint Topic Modeling Approach” was accepted into ASONAM 2013.
• 2013-04-19 Shuang-Hong Yang at Twitter and I will organize the 1st Workshop on User Engagement Optimization at CIKM 2013. Stay tuned.
• 2013-04-15 Our paper entitled “Nested Chinese Restaurant Franchise Process:  Applications to User Tracking and Document Modeling” was accepted into ICML 2013.
• 2013-02-18 I was invited to the program committee of ICWSM 2013, a leading international conference on social media.
• 2013-02-11 I was invited to the program committee of 2nd International Workshop on Mining Social Network Dynamics (MSND) at WWW 2013.
• 2013-02-08 Our paper entitled “Hierarchical Geographical Modeling of User locations from Social Media Posts” was accepted into WWW 2013.
• 2013-02-04 I joined Yahoo Labs, Sunnyvale CA as a Research Scientist.
• 2013-01-18 I gave a talk about technical interviews in software/internet companies in CS Dept. at Lehigh Univ. [Slides]

2012

• 2012-11-14 I gave a talk about mining temporal and geographical information from Twitter at Google, Mountain View, CA. [Slides]
• 2012-11-12 I gave a talk about mining temporal and geographical information from Twitter at Rutgers, Newark, NJ. [Slides]
• 2012-11-01 I gave a talk about mining temporal and geographical information from Twitter at Yahoo! Labs, Sunnyvale, CA. [Slides]
• 2012-10-24 Our paper about personalized retweet prediction was accepted in WSDM 2013.
• 2012-09-05 I presented our work about “Personalized Retweet Prediction” in WIN workshop 2012. [Slides]
• 2012-08-16 I gave the talk about ranking in social stream in SIGIR 2012. [Slides]
• 2012-04-30 Our paper entitled “Learning to Rank Social Update Streams” was accepted as a full paper in the proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2012).
• 2012-03-26 I have been awarded as Rossin Doctoral Fellows in Rossin College of Engineering & Applied Science at Lehigh University.
• 2012-02-29 I have been invited to the program committee of the conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL 2012).
• 2012-01-27 Our paper entitled “Discovering Geographical Topics in Twitter Stream” was accepted as a full paper in the 21th International Conference on World Wide Web (WWW 2012).

2011

• 2011-07-19 Our paper entitled “Structural Link Analysis and Prediction in Microblogs” was accepted in the proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011).
• 2011-06-15 Our papers entitled “Tracking Trends: Incorporating Term Volume into Temporal Topic Models” and “A Time-Dependent Topic Model for Multiple Streams” were accepted in the proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011).
• 2011-05-31 Our poster entitled “Link Formation Analysis in Microblogs” was accepted in the proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2011).
• 2011-05-03 Our paper entitled “Temporal Dynamics of User Interests in Tagging Systems” was accepted in the proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011).
• 2011-04-01 Our poster entitled “Predicting Popular Messages in Twitter” has been awarded as the Best Poster Award in 20th international conference on World Wide Web (WWW 2011).
• 2011-01-16 Two papers entitled “Predicting Popular Messages in Twitter” and “Exploiting Session-like Behaviors in Tag Prediction” were accepted as posters in the Proceedings of the 20th international conference on World Wide Web (WWW 2011).

2010

• 2010-08-27 Liangjie finished three months of a summer intern at Yahoo! Labs in Sunnyvale, CA.
• 2010-02-03 Liangjie attended  “WSDM 2010” and “SSM 2010” in NYC.

2009

• 2009-10-23 Liangjie attended “DB/IR Day -Fall 09” in NYC.
• 2009-09-25 Liangjie attended “Workshop On Information In Networks (WIN)” in NYC.
• 2009-09-07 Liangjie presented “Tag Recommendation Using Keywords and Association Rules” as a poster at the 2009 ECML/PKDD Discovery Challenge Workshop, Bled, Slovenia, September 2009.
• 2009-08-30 Liangjie presented ” Incorporating Participant Reputation in Community-driven Question Answering Systems” at the SIN 2009 in Vancouver.
• 2009-07-20 Liangjie presented “A Classification-Based Approach to Question Answering in Discussion Boards” at the 32st SIGIR conference at Boston.