Xiangmeng Wang

Xiangmeng Wang

PhD Student, DSMI Lab, FEIT, University of Technology Sydney, Australia

Xiangmeng Wang’s Homepage

Welcome!

I’m Xiangmeng Wang, a Ph.D. student at the School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS). I enrolled in the UTS in March 2021. I am fortunate enough to have Prof. Guandong Xu as my supervisor and Dr. Qian Li as my co-supervisor. Before that, I received my MSc degree in Computer Application Technology from Shanghai University. Currently, I’ve been a visiting student at The Hong Kong Polytechnic University (PolyU) by the student attachment program, advised by Prof. Qing Li.

My research interests lie primarily in explainable artificial intelligence, data analysis, and causal machine learning. My papers have been published in top-tier conferences and journals in the field of machine learning.

News

  • [2023.11]Xiangmeng is awarded the 2023 FEIT HDR Excellence Awards, UTS.
  • [2023.09]Xiangmeng begins her visiting journey at The Hong Kong Polytechnic University.
  • [2022.12]Xiangmeng is awarded the Research Excellence Scholarship from the Faculty of Engineering and IT, UTS.
  • [2022.12]Xiangmeng is awarded outstanding publication awards from DSMI lab, UTS.
  • [2022.10] Xiangmeng is ranked the No.1 in the School of Computer Science’s research showcase competition (presentation category).
  • [2022.09] Xiangmeng has been elected as the candidate for Apple Scholar Fellowship program.
  • [2022.07] Xiangmeng has certified as online participant in the conference ACM SIGIR 2022.
  • [2022.04] Xiangmeng has granted the UTS VC's Conference Fund 2022 - Online Round 1.
  • [2022.05] Xiangmeng is elected as the candidate for Google PhD Fellowship program.
  • [2022.04] One paper is accepted by ACM Transactions on Knowledge Discovery from Data.
  • [2022.03] One paper is accepted by SIGIR'2022.
  • [2022.03] One paper is accepted by IEEE Transactions on Knowledge and Data Engineering.
  • [2022.03] Xiangmeng successfully passed her Candidature Assessment 1.
  • [2022.01] One paper is accepted by WWW'2022.

    • Tutorials

  • 2022, Tutorial, Recent Advances in Causality-based Recommendation, PAKDD 2022.
    Slides｜Video

    • Teaching and Research Service

  • Teaching Assistant, University of Technology Sydney:
    • AI/Analytics Capstone course
  • Research Assistant, Shanghai University:
    • The National Key R&D Program of China (No. 2017YFB0701501)
    • National Natural Science Foundation of China (No. 61572434)

    • Industry Experience

  • Ping An Ltd, Data Modeling Internship, Shanghai, China, Jan 2019 — Aug 2019
  • RTSHIELD, Data Analyst (Full-time), Shanghai, China, May 2020 — Aug 2020

    • Professional Service

  • PC member:
    • PRICAI 2022
  • Reviewer:
    • 2023: WSDM, NeurIPS
    • 2022: EMNLP, IJCAI, KDD, WSDM, SDM
    • 2021: ICCV, CVPR, IJCAI, ICLR, TNNLS, WWWJ

    • Honors And Awards

  • HDR Excellence Awards, UTS, Nov 2023
  • Research Excellence Scholarship, UTS, Dec 2022
  • 🏆 Ranked Top 1 in the School of Computer Science research showcase, Sep 2022
  • China National Scholarship, Jan 2019
  • China National Scholarship, Jan 2016
  • China National Scholarship for Encouragement, Jan 2014
  • Provincial Outstanding Graduate, May 2017

    • For more info

    Data Science and Machine Intelligence (DSMI) Lab

    University of Technology Sydney