Yikun Xian

About Me

I am an Applied Scientist in Amazon Advertising working on machine learning based ad allocation and pricing. Prior to that, I receive my PhD degree in Computer Science at Rutgers University, New Brunswick. I am fortunate to be advised by S. Muthukrishnan and co-advised by Yongfeng Zhang. I also work closely with Gerard de Melo.

Education

  • Ph.D in Computer Science, Rutgers University, 2015 - 2021
  • M.S. in Software Engineering, Tongji University, 2012 - 2015
  • B.S. in Software Engineering, Tongji University, 2008 - 2012

Work Experience

  • Amazon, Seattle, WA
    • Applied Scientist at Advertising, Jun. 2021 - Present
    • Applied Scientist Intern at Product Graph, Jun. 2020 - Aug. 2020
  • Adobe Research, San Jose, CA
    • Research Intern, Jun. 2019 - Aug. 2019
    • Part-time Research Intern, Sept. 2017 - Feb. 2018, Sept. 2019 - Feb. 2020
  • Google, Mountain View, CA
    • PhD Software Engineer Intern at Ads team, June. 2018 - Aug. 2018
  • Cisco, San Jose, CA
    • Data Science Intern, Jun. 2017 - Aug. 2017

Academic Service

  • PC Member & Reviewer
    • Journal: TOIS 2020-2021
    • Conference: SIGIR 2020-2021, RecSys 2021, NAACL 2021, AAAI 2020-2021, NeurIPS 2020, EMNLP 2020, CIKM 2020-2021, AACL 2020, ECML-PKDD 2020, WWW 2020, ECIR 2020, SDM 2022
    • Workshop: SIGIR/EARS 20’, UbiComp/CML-IOT 20’, SIGIR/EARS 19’

Tutorial

  • Tutorial on Conversational Recommender Systems, WSDM 2021
  • Tutorial on Conversational Recommender Systems, IUI 2021
  • Tutorial on Conversational Recommender Systems, RecSys 2020 [paper][link]

Awards

  • CIKM 2020 Student Travel Award
  • SIGIR 2020 Student Travel Award
  • SIGIR 2019 Student Travel Award