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Invited Talks
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- Local Latent Space Models for Top-N Recommendation
International Conference on Knowledge Discovery and Data Mining (KDD), London, UK, August 2018
(slides)(video1)(video 2)
- Improving the quality of top-N recommendation: modern approaches with a special focus on similar users' behavior
Netflix Workshop on Personalization, Recommendation and Search, Los Gatos, CA, June 2018
(slides)
Only presentation on graduate school research among ten other industry talks.
- Improving the Quality of Top-N Recommendation
University of Minnesota Twin Cities, Minneapolis, MN, January 2018
Apple, Cupertino, CA, November 2017
Criteo,Palo Alto, CA, November 2017
(slides)
- Local Item-Item Models for Top-N Recommendation
Google PhD Student Research Summit, Mountain View, CA, September 2017
GroupLens Research Group, University of Minnesota, Minneapolis, MN, October 2016
ACM Conference on Recommender Systems (RecSys), Boston, MA, September 2016
(slides)(video)
Best paper award.
- Identifying Decision Makers from Professional Social Networks
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Fransisco, CA, August 2016
(slides)(video)(poster)
- Moving beyond Linearity and Independence in Top-N Recommender Systems
ACM Conference on Recommender Systems (RecSys), Foster City, CA, October 2014
- HOSLIM: Higher-Order Sparse Linear Method for Top-N Recommender Systems
Google PhD Intern Research Conference (PIRC), Mountain View, CA, July 2014
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Tainan, Taiwan, May 2014
(slides)
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