PhD Student
School of Computing and Information Systems
Singapore Management University

Email: hezheqiao.2022\[at\]phdcs.smu.edu.sg; hezheqiao[at]gmail.com
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Office: SMU school of computing and information system, Singapore 178902

Biography

I am a Ph.D. candidate at [Singapore Management University] , supervised by [Prof. Guansong Pang]. My research interests are in graph representation learning, graph retrieval augmented generation, graph anomaly detection and large graph modeling, with a special focus on generative model on graph, graph foundation model.

I feel excited to work with colleagues at Machine Learning & Applications (MaLA) Lab , we investigates novel machine learning techniques, with a research theme focused on abnormal/unknown data instance detection and generalized learning algorithms for creating trustworthy continual AI systems.

[Job searching !!] I'm looking for a summer 2025 internship opportunity in the US, focusing on large language models, graph learning, or anomaly detection, feel free to contact me (hezheqiao[at]gmail.com, Linkedln, or WeChat ) if you have any job recommendations.

Pin

  • Check out our survey on deep graph anomaly detection Deep Graph Anomaly Detection: A Survey and New Perspectives and its github repository
  • News

  • 2024/10: One paper on time series data imputation is accepted to BIBM 2024
  • 2024/9: Check out our survey on deep graph anomaly detection Deep Graph Anomaly Detection: A Survey and New Perspectives and its github repository
  • 2024/9: One paper on semi-supervised graph anomaly detection is accepted to NeurIPS 2024
  • 2024/9: One survey paper on deep hate speech detection is accepted to JDSA
  • 2024/8: Invited as PC Member for ICLR 2025
  • 2024/8: One paper on crossing intent prediction is accepted to ICONIP 2024
  • 2024/7: Honored to receive the SMU Presidential Doctoral Fellowship (2024)
  • 2024/6: Invited as PC Member for NeurIPS 2024
  • 2024/5: One paper on normality learning for time series anomaly detection is accepted to ECML PKDD 2024
  • 2024/4: I am very honored to be a student volunteer for WebConf 2024 , see you in Sentosa, Singapore, May 13 to May 17, 2024.
  • 2024/2: Our PerCom24 paper DiTMoS is featured as Mark Weiser Best Paper Award !
  • 2024/1: Invited as PC Member for PAKDD 2024
  • 2024/1: Excited to announce that my research has now reached 100 citations on Google Scholar!
  • 2023/12: One paper on diverse Tiny model selection is accepted to PerCom 2024
  • 2023/09: One paper on unsupervised graph anomaly detection is accepted to NeurIPS 2023
  • 2023/08: One paper on AI in medicine is accepted by Journal of the American Medical Informatics Association : JAMIA
  • 2023/01: I am very honored to be a student volunteer for WSDM 2023 , see you in SMU, Singapore, February 27 to March 3, 2023.
  • 2023/01: Check out our survey paper about deep learning for hate speech detection
  • 2022/07: I have been offered admission into SMU-SCIS PhD programme with a full scholarship. The academic term will start on 9 January 2023.
  • 2022/06: I have finished my master and will join School of Computing and Information Systems @ SMU as Research Engineer.
  • 2022/05: Two papers on Review-based recommendation system and Alzheimer's disease clinical scores prediction are accepted to IJCNN 2022.

    Honors and Awards

  • SMU Presidential Doctoral Fellowship 2024
  • Mark Weiser Best Paper Award, PerCom 2023
  • PhD Full Scholarship, Ministry of Education, Singapore 2023
  • Dean Scholarship, Chinese Academy Science 2022
  • First prize, Dean Scholarship of Chengdu Branch, Chinese Academy Science 2021
  • Outstanding Student of University of the Chinese Academy of Sciences 2020, 2021
  • Outstanding graduates, Outstanding Student of the Chengdu University of Technology 2016,2017,2018,2019
  • Hundred Excellent Academic Dissertations of the Chengdu University of Technology 2019
  • Background

  • 2022-present: Ph.D. in Computer Science, Singapore Management University, Singapore
  • 2019-2022: Master in Computer Science, University of the Chinese Academy of Sciences, China
  • 2015-2019: Bachelor in Computer Science and Technology, Chengdu University of Technology, China

    Professional Experiences

  • School of Computing and Information Systems, SMU, research engineer advised by [Prof. Guansong Pang] 2022-2023
  • Chongqing Key Laboratory of Big Data and Intelligent Computing, CIGIT, research student advised by [Prof. Mingsheng Shang], [Prof. Lin Chen] and [Prof. Fan Zhu] 2020-2022.
  • Institute of Mountain Hazards and Environment, CAS, research assistant advised by [Prof. Xiaopeng Leng] and [Prof. Shaojie Zhang] 2019-2020.

  • Services

  • Program Committee (Selected)
  • ICLR NeurIPS
  • Journal Reviewer (Selected)
  • International Journal of Data Science and Analytics, JAIR, IEEE TNNLS, IEEE TAI
  • Teaching Experience
  • CS425: Natural Language Communication, (Undergraduate), Singapore Management University, Tutor, Autumn 2024

    Students Co-supervision/Collaboration

  • Yutong Chen: PhD at UCAS with Prof. Guansong Pang, 09/2023-, time series anomaly detection (ECML PKDDx1)
  • Guolei Zeng: BS at FZU with Prof. Guansong Pang, 06/2024-, graph anomaly detection
  • Guoguo Ai: PhD at NJUST with Prof. Guansong Pang, 11/2024-, graph retrieval-augmented generation
  • Hongbin Liang: MS at UCAS with Assistant Prof. Lin Chen, 03/2024-, pedestrian crossing intent prediction (ICONIPx1)
  • Haifu Ye: MS at UCAS with Assistant Prof. Lin Chen, 03/2024-, video anomaly detection
  • Ye Su: MS at UCAS with Assistant Prof. Lin Chen, 06/2024-, time series prediction (BIBMx1)
  • Xiaoya Fang: MS at UCAS with Assistant Prof. Lin Chen, 11/2024-, fake news and misinformation detection