Shirui Pan

Shirui Pan

Professor and ARC Future Fellow

School of ICT

Griffith University

Biography

Shirui Pan is a Professor and an ARC Future Fellow with the School of Information and Communication Technology, Griffith University, Australia. Before joining Griffith in 2022, he was Senior Lecturer (Associate Professor) with the Faculty of Information Technology, Monash University. He received his Ph.D degree in computer science from University of Technology Sydney (UTS), Australia. He is a Senior Member of IEEE and ACM, and a Fellow of Queensland Academy of Arts and Sciences (FQA).

His research focuses on artificial intelligence and machine learning. His research was cited 20,077 times, H-Index: 50 (on September 23, 2023).

He has made contributions to advance graph machine learning methods for solving hard AI problems for real-life applications, including graph classification, anomaly detection, recommender systems, and multivariate time series forecasting. His research has been published in top conferences and journals including NeurIPS, ICML, KDD, TPAMI, TNNLS, and TKDE. He is recognised as one of the AI 2000 AAAI/IJCAI Most Influential Scholars in Australia (2023, 2022), and one of the World’s Top 2% Scientists (2022, 2021). His research received the IEEE ICDM Best Student Paper Award (2020), and the JCDL Best Paper Honorable Mention Award (2020). He has eight papers recognised as the Most Influential Papers in KDD (x1), IJCAI (x5), AAAI (x1), and CIKM (x1) (Feb 2022). He received a prestigious Future Fellowship (2022-2025), one of the most competitive grants from the Australian Research Council (ARC).

潘世瑞(中文简介)

博士招生信息(2023年1月更新)

PhD positions are open! I am looking for self-motivated Ph.D students. See more information here.

Interests
  • Artificial Intelligence
  • Data Mining
  • Machine Learning
  • Deep Learning
  • NLP
  • Graph Neural Networks
  • Trustworthy AI
Education
  • PhD in Computer Science

    University of Technology Sydney

What’s New

Recent Publications

IEEE TPAMI, TNNLS, TKDE, TCYB; ICML, NeurIPS, KDD, WWW, CVPR, WSDM, ICDM, AAAI, IJCAI

(2023). GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (CORE A*).

(2023). Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (Spotlight)(CORE A*).

PDF

(2023). Towards Self-Interpretable Graph-Level Anomaly Detection. Advances in Neural Information Processing Systems, NeurIPS, New Orleans, USA, 10 Dec 2023 – 16 Dec, 2023 (CORE A*).

(2023). Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD, September 18 -22 2023, Turin, Italy (CORE A).

PDF

(2023). Learning Strong Graph Neural Networks with Weak Information. 29th SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-23, 6 Aug 2023 – 10 Aug 2023, Long Beach, California, United States (CORE A*).

PDF

(2023). Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Team Leader

Shirui Pan

Professor and ARC Future Fellow

Avatar

Shirui Pan

Professor and ARC Future Fellow

PhD Students

Avatar

Xin Zheng

PhD Students @ Monash (04/2021-)

Avatar

Yixin Liu

PhD Student @ Monash (01/2021-)

Avatar

Linhao Luo

PhD Student @ Monash (02/2022-)

Avatar

Dongran Yu

PhD Student @ Jili (09/2019-)

Avatar

He Zhang

PhD Student @ Monash (04/2021-)

Avatar

Luzhi Wang

PhD Student @ Tianjin U. (07/2020-)

Avatar

Yizhen Zheng

PhD Student @ Monash (07/2021-)

Avatar

Bo Xiong

PhD Student @ Universität Stuttgart (09/2020-)

Avatar

Yuanzhe Zhang

PhD Student @ Monash (06/2021-)

Avatar

Ming Jin

PhD Student @ Monash (08/2020-)

Avatar

Huan Yee Koh

PhD Student @ Monash (04/2022-)

Avatar

Jiaxin Ju

PhD Student @ Griffith University (02/2023-)

Avatar

Dongwon Ryu

PhD Student @ Monash (02/2021-)

Avatar

Guangsi Shi

PhD Student @ Monash (07/2020-)

Avatar

Mohit Gupta

PhD Student @ Monash (01/2022-)

Avatar

Zahra Zamanzadeh

PhD Student @ Monash (01/2022)

Alumni

Avatar

Miao Zhang

Professor @ Harbin Institute of Technology

Avatar

Sheng Wan

PostDoc @ NUST

Avatar

Bang Wu

Postdoc @ CSIRO’s Data61

Avatar

Shichao Zhu

AI Scientist @ ByteDance

Avatar

Man Wu

Assistant Prof @ U. Sci&Tec Beijing

Avatar

Hong Yang

Associate Professor @ Guangzhou University

Avatar

Chun Wang

Assistant Professor @ City University of Macau

Avatar

Ruiqi Hu

CEO

Avatar

Shaoxiong Ji

Postdoc @ University of Helsinki

Avatar

Guojia Wan

Postdoc @ Wuhan U.

Awards and Grants

Shirui Pan’s research was supported by Australian Research Council (ARC), Defence Science and Technology Group (DSTG), Amazon, Metso Outotec, Shanghai Aircraft Manufacturing Co, Ltd, etc.

Professional Services

Editorship

  • Associate Editor: IEEE Transactions on Cybernetics (TCYB) (IF: 19.11)(2023-)
  • Associate Editor: Neural Networks (IF: 9.657)(2023-)
  • Associate Editor: Knowledge and Information Systems (IF: 2.531) (2022-)
  • Guest Editor for Special Issue: Pattern Recognition (2022)
  • Guest Editor for Special Issue: IEEE Transactions on Neural Networks and Learning Systems (2021)
  • Guest Editor for Special Issue: Future Generation Computer Systems (2020)
  • Guest Editor for Special Issue: Neurocomputing (2020)
  • Guest Editor for Special Issue: Complexity (2019)
  • Associate Editor: IEEE Access (2018-2019)

Conference Organisation

  • Proceeding Co-chair: 2022 IEEE International Conference on Data Mining(ADMA-2022)
  • Tutorial Chair: 2022 IEEE International Conference on Data Mining(ICDM-2022)
  • Program Chair: 2021 International Conference on Data Science and Systems (DSS-2021)
  • Workshop Chair: 2021 IEEE International Conference on Big Data (IEEE BigData-2021)
  • Tutorial Chair: 2020 Digital Image Computing: Techniques and Applications (DICTA-2020)
  • Special Session Chair: Learning from Big Graph Data: Theory and Applications, IJCNN-2018 (CORE A)
  • Special Session Chair: Advanced Data Analytics for Large-scale Complex Data Environment, IJCNN- 2017 (CORE A)
  • Special Session Chair: Advanced Machine Learning Methods and Applications from Complicated Data Environment, IJCNN-2016 (CORE A)

Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (CORE A*)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (CORE A*)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)((CORE A*)
  • IEEE Transactions on Cybernetics (TCYB) (CORE A)
  • IEEE Transactions on Systems, Man and Cybernetics: Systems (SMCA) (CORE B)
  • IEEE Signal Processing Letters
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • World Wide Web (WWW) (CORE A)
  • Social Network Analysis and Mining
  • Neural Computing and Applications
  • Neurocomputing
  • Information Sciences (CORE A)

(Senior) Program Committee

  • The International Conference on Learning Representations (ICLR 23-21)
  • Annual Conference on Neural Information Processing Systems (NeurIPS 22-19) (CORE A*)
  • SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 22-19) (CORE A*)
  • Conference on Computer Vision and Pattern Recognition (CVPR 22-21) (CORE A*)
  • IEEE International Conference on Data Mining (ICDM 22-19) (CORE A*)
  • AAAI Conference on Artificial Intelligence (AAAI 23-17) (CORE A*)
  • The Web Conference (WWW 23-19) (CORE A*)
  • International Joint Conference on Artificial Intelligence (IJCAI 22-17) (CORE A*)
  • SIAM International Conference on Data Mining (SDM-19) (CORE A)
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-19,18,17,16)(CORE A)
  • IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2014-15)
  • International Conference on Advanced Data Mining and Applications (ADMA 2014, 2016)
  • The international conference on Advances in Social Network Analysis and Mining (ASONAM 2017)
  • The China Computer FedCOREtion (CCF) Conference on Big Data (CCF Big Data 2017)

Recent & Upcoming Talks

Source Codes

Curated List

A list of open source code is maintained on Github. Other source code will be released as it is ready for publishing.

Graph Classification

Teaching

  • FIT5196: Data Wrangling, Lecturer, 2019 S1, Monash University
  • FIT5196: Data Wrangling, Lecturer, 2020 S2, Monash University
  • FIT5196: Data Wrangling, Chief Examiner & Lecturer, 2021 S2, Monash University
  • FIT5212: Data Analysis for Semi-Structured Data, Co-Chief Examiner & Lecturer, 2020 S1, Monash University
  • FIT5212: Data Analysis for Semi-Structured Data, Co-Chief Examiner & Lecturer, 2021 S1, Monash University

Contact