Pengtao Xie

Assistant Professor

Electrical and Computer Engineering

University of California San Diego


I obtained my PhD from the Machine Learning Department, School of Computer Science, Carnegie Mellon University. My research interests include sampling efficient learning (e.g., meta learning, domain adaptation, neural symbolic reasoning, etc.), machine learning for healthcare, deep learning for natural language processing and computer vision, deep generative models, large-scale distributed learning


pengtaoxie2008@gmail.com Twitter Weibo


I am looking for highly-motivated PhD and master students to join my group.

News

  • 2020/8. My PhD thesis was selected as a finalist (top 5) for the AMIA Doctoral Dissertation Award.

  • 2020/8/24. I am co-organizing AAAI 2021 workshop "Trustworthy AI for Healthcare".

  • 2020/8/19. I will serve as an area chair of CVPR 2021.

  • 2020/8/14. I am co-organizing NeurIPS 2020 workshop "Self-Supervised Learning -- Theory and Practice".

  • 2020/8/6. I am awarded Google Cloud research credits.

  • 2020/6/17. I will serve as an area chair of AAAI 2021.

  • 2020/6/17. I will serve as an area chair of IJCAI 2021.

  • 2020/6/15. I am awarded an Amazon AWS Research Award. Thank you AWS!

  • 2020/6/1. I am awarded a Tencent AI-Lab Faculty Award. Thank you Tencent AI-Lab!

  • 2020/5/1. I am awarded a Tencent Faculty Award. Thank you Tencent!


Students

  • Arda Bati

  • Xuehai He

  • Ramtin Hosseini

  • Yueyu Jiang

  • Jiachen Li

  • Sai Somayajula

  • Kai Wang (CSE)

  • Xingyi Yang

  • Shengzhe Zhang


Teaching


Publications Since 2020

Google Scholar

Publications Before 2020


Professional Activities

Area Chairs for:

  • AAAI 2021, IJCAI 2021, CVPR 2021

Co-organizer for:

  • NeurIPS 2020 workshop "Self-Supervised Learning -- Theory and Practice".

  • AAAI 2021 workshop "Trustworthy AI for Healthcare".

Program Committee Members or Reviewers for:

  • Conferences: ICML (2014, 2018-2019), NIPS (2016, 2018), AISTATS (2017-2019), UAI (2018), ICLR (2019), AAAI (2019), CVPR (2016-2019), ICCV (2015, 2017), ECCV (2016, 2018), ACL (2015-2018), EMNLP (2015), KDD (2015), ECML (2016-2017), ACCV (2016), BMVC (2017)

  • Journals: TPAMI (2018), TKDE (2015-2018), TMM (2016-2017), PLOS ONE (2017-2018), TNNLS (2015-2016, 2018), JASA (2015)


Selected Awards and Honors

  • Finalist (top 5) for AMIA Doctoral Dissertation Award.

  • Amazon AWS Research Award.

  • Tencent AI-Lab Faculty Award.

  • Tencent Faculty Award.

  • Innovator Award, 2018 (presented by the Pittsburgh Business Times).

  • Google Cloud research credits.

  • 1st Place (out of 400+ participating teams) in both Defenses and Targeted Attacks, 3rd Place in Untargeted Attacks, in NIPS Adversarial Vision Challenge, 2018.

  • Siebel Scholarship, 2014 (85 graduate students from around the world).

  • National Scholarship of China, 2009.

  • National First Prize in China Undergraduate Mathematical Contest of Modeling, 2008.

  • Goldman Sachs Global Leader Scholarship, 2008 (150 undergraduate students from around the world).


Recent Invited Talks

  • Machine Learning for Medical Decision Support

    • Nov 2019, Department of Biomedical Informatics, University of Pittsburgh

    • Oct 2019, AI NEXTCon Developer Conference

    • Apr 2019, New York University

    • Apr 2019, University of Massachusetts Amherst

    • Mar 2019, University of California San Diego

    • Feb 2019, Columbia University

    • Feb 2019, Johns Hopkins University

    • Feb 2019, University of California Los Angeles

    • Jan 2019, University of Wisconsin-Madison