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I lead the ML organization at Instacart. We use ML to support many aspects of the e-commerce business, including search, discovery, personalization, recommendations, ads, as well as growth related problems such as pricing, incentives, retention, etc. Since 2022, we have been pioneering using Large Language Models and generative AI for e-commerce. I'm also giving invited and keynote talks at conferences such as WSDM, SIGKDD, BigData, etc. For details, please see a series of articles on this topic. https://medium.com/@haixun/generative-ai-for-ecommerce-9fc1a9a7237eIn my previous jobs, I lead the Research / Applied Science organization at WeWork. Before that, I worked on ML, Knowledge Graphs, NLP, data management at Facebook, Google, Miscrosoft, and IBM. fSome of my blog posts that are related to my previous work:- The coming disruption to e-commerce searchhttps://medium.com/gobeyond-ai/the-coming-disruption-in-e-commerce-search-3ffa0eb9a5d9- An Annotated Reading List of Conversational AIhttps://medium.com/gobeyond-ai/a-reading-list-and-mini-survey-of-conversational-ai-32fceea97180- Getting NLP Ready for Businesshttps://medium.com/gobeyond-ai/getting-nlp-ready-for-business-4cc96d81c933Our recent paper on short text understanding won ICDE 2015 Best Paper Award (more information available at http://haixun.olidu.com/probase).I received ICDE 2015 Best Paper Award, ICDM 2013 Ten Year Highest Impact Award, ER 2008 Conference best paper award (DKE 25-year award), and ICDM 2009 Best Student Paper run-up award.I served as PC co-Chair of CIKM 2018 (Industry), WWW 2013 (P&E), PC co-chair of ICDE 2013 (industry), PC co-chair of ODBASE 2013, PC co-chair of CIKM 2012, PC co-chair of ICMLA 2011, PC co-chair of WAIM 2011, etc. I am serving as associate editor of Distributed and Parallel Databases (DAPD), IEEE Transactions of Knowledge and Data Engineering (TKDE), Knowledge and Information System (KAIS), and Journal of Computer Science and Technology (JCST).
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Vp Of Engineering, Head Of AiEvenup Dec 2024 - PresentSan Francisco, California, Us -
Editor In ChiefIeee, Data Engineering Bulletin 2018 - PresentIEEE Data Engineering Bulletin is a major journal in the domain of data management. It is published quarterly and past issues can be found at http://sites.computer.org/debull/bull_issues.html
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Ieee FellowIeee 2017 - PresentPiscataway, Nj, Us -
Distinguished FellowFellows Fund 2021 - PresentSunnyvale, California, Us -
Affiliate ProfessorUniversity Of Washington 2023 - PresentSeattle, Wa, Us -
TrusteeBoard Of Trustees, Vldb Endowment 2022 - Present
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Vp Of Engineering. Distinguished Scientist.Instacart 2020 - Dec 2024San Francisco, Ca, Us -
Vp Of Engineering And Distinguished ScientistWework 2018 - 2020New York, Ny, UsI led Pricing & Revenue Optimization, Marketplace Intelligence, Central Data , and the Applied Science organization. The teams are located in Palo Alto, San Francisco, NYC, Shanghai, and Tel Aviv. -
Director, Natural Language ProcessingAmazon 2017 - 2018Seattle, Wa, UsI led the query understanding and retrieval team for Amazon Search.Check out my medium article: The Coming Disruption to e-Commerce Search -
Engineering Manager And Research ScientistFacebook 2015 - 2017I led the NLP (Query Understanding and Document Understanding) effort in Search.Check out two Medium articles:- An Annotated Reading List of Conversational AI- Getting NLP Ready for Business -
Staff Research ScientistGoogle 2013 - 2015Mountain View, Ca, UsI worked on semantic query understanding, and built the Concept Network (an extension of the Probase project at Microsoft). -
Senior ResearcherMicrosoft Research Asia 2009 - 2013Redmond, Washington, UsManager of the Data Management, Analytics and Service group. I initiated and led two projects:- Probase/Concept Graph (a semantic network for text understanding)- Trinity (a distributed graph engine on a memory cloud) -
Rsearch Staff MemberIbm T. J. Watson Research Center 2000 - 2009Armonk, New York, Ny, UsI had been a research staff member at IBM T. J. Watson Research Center from 2000 – 2009, a Technical Assistant to Stuart Feldman (Vice President of Computer Science of IBM Research) from 2006 to 2007, and a Technical Assistant to Mark Wegman (Head of Computer Science of IBM Research) from 2007 to 2009.
Haixun Wang Skills
Haixun Wang Education Details
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UclaComputer Science -
Shanghai Jiao Tong UniversityComputer Science -
Shanghai Jiao Tong UniversityComputer Science
Frequently Asked Questions about Haixun Wang
What company does Haixun Wang work for?
Haixun Wang works for Evenup
What is Haixun Wang's role at the current company?
Haixun Wang's current role is VP Engineering, Head of AI | IEEE Fellow.
What is Haixun Wang's email address?
Haixun Wang's email address is ha****@****ail.com
What is Haixun Wang's direct phone number?
Haixun Wang's direct phone number is +165079*****
What schools did Haixun Wang attend?
Haixun Wang attended Ucla, Shanghai Jiao Tong University, Shanghai Jiao Tong University.
What skills is Haixun Wang known for?
Haixun Wang has skills like Machine Learning, Data Mining, Artificial Intelligence, Computer Science, Natural Language Processing, Algorithms, Information Retrieval, Text Mining, Databases, Big Data, Mapreduce, High Performance Computing.
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