Biography

Shirui Pan is an ARC Future Fellow (awarded in 2021) and Senior Lecturer (equiv. Associate Professor in US) with the Department of Data Science & AI, Faculty of Information Technology, Monash University. He received his Ph.D degree in computer science from UTS, Australia.

Shirui 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 (2021). He is an awardee of a prestigious Future Fellowship (2021-2025), one of the most competitive grants from the Australian Research Council (ARC).

Multiple PhD positions are available! I am looking for self-motivated Ph.D students. Applicants in Australia are especially welcome. See more information here.

For Monash students, I can only supervise 1-2 honours/minor thesis students each year. Please see the information about my reserach group in this post before you apply.

Interests
  • Artificial Intelligence
  • Data Mining
  • Machine Learning
  • Deep Learning
  • NLP
  • Graph and Network Analysis
Education
  • PhD in Computer Science, 2015

    University of Technology Sydney

What’s New

Recent Publications

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

(2021). Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. 2021 Conference on Neural Information Processing Systems, NeurIPS-21, Virtual-only Conference, 6-14, December, 2021.

(2021). Hypergraph Convolutional Network for Group Recommendation. IEEE International Conference on Data Mining (ICDM), Dec 7-10, 2021.

(2021). Learning Graph Representations with Maximal Cliques. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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(2021). ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), November 1–5, 2021, Virtual Event, QLD, Australia.

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(2021). Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), November 1–5, 2021, Virtual Event, QLD, Australia.

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Team Leader

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Shirui Pan

ARC Future Fellow

PhD Students

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Sheng Wan

PhD Student @ NUST

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Bang Wu

PhD Student @ Monash (08/2020-)

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He Zhang

PhD Student @ Monash (04/2021-)

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Ming Jin

PhD Student @ Monash (08/2020-)

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Yixin Liu

PhD Student @ Monash (01/2021-)

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Man Wu

PhD Student @ FAU (2020-)

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Yizhen Zheng

PhD Student @ Monash (07/2021-)

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Shichao Zhu

PhD Student @ CAS (2018-)

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Dongwon Ryu

PhD Student @ Monash (02/2021-)

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Guangsi Shi

PhD Student @ Monash (07/2020-)

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Luzhi Wang

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

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Xin Zheng

PhD Students @ Monash (04/2021-)

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Yuanzhe Zhang

PhD Student @ Monash (06/2021-)

Alumni

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Chun Wang

PhD

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Ruiqi Hu

PhD

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Miao Zhang

Assistant Professor @ Aalborg University

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Shaoxiong Ji

PhD Student @ Aalto U.

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Guojia Wan

Postdoc @ Wuhan U.

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Hong Yang

Postdoc @ USYD

Awards and Grants

  • [Award]: Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge ($800,000 from ARC and $470,000 from Monash University) - 2021-2025

    • ARC Future Fellow
    • Australian Research Council (ARC)
  • [Award]: 2021 FIT Dean’s Award for Excellence in Research by an Early Career Researcher

  • [Award]: [AI 2000 AAAI/IJCAI Most Influential Scholars Honorable Mention] (../../post/ai-2000-certificate.png) (only five recipients in Australia) (08/04/2021).

  • [Award]: [3 Papers are Selected as Most Influential Papers in IJCAI] (https://www.paperdigest.org/2021/03/most-influential-ijcai-papers-2021-03/) (08/03/2021).

    • 2019 Graph WaveNet For Deep Spatial-Temporal Graph Modeling (Rank: 2)
    • 2018 Adversarially Regularized Graph Autoencoder For Graph Embedding (Rank: 7)
    • 2016 Tri-Party Deep Network Representation (Rank: 6)
  • [Award]: [1 Paper is Selected as Most Influential Paper in KDD] (https://www.paperdigest.org/2021/03/most-influential-kdd-papers-2021-03/) (08/03/2021).

    • 2020 Connecting The Dots: Multivariate Time Series Forecasting With Graph Neural Networks (Rank: 7)
  • [Award]: [1 Paper is Selected as Most Influential Paper in AAAI] (https://www.paperdigest.org/2021/03/most-influential-aaai-papers-2021-03/) (08/03/2021).

    • 2018 DiSAN: Directional Self-Attention Network For RNN/CNN-Free Language Understanding (Rank: 10)
  • [Award]: [1 Paper is Selected as Most Influential Paper in CIKM] (https://www.paperdigest.org/2021/03/most-influential-cikm-papers-2021-03/) (08/03/2021).

    • 2017 MGAE: Marginalized Graph Autoencoder For Graph Clustering (Rank: 11)
  • Best Student Paper Award for ICDM-2020 (CORE A* conference)

  • The Vannevar Bush Best Paper Honorable Mention for JCDL-2020 (CORE-2018 A* conference)

  • Anomaly Detection in Social Networks ($11,000) - 2019-2020

    • Faculty Early Career Researcher Grant
    • Monash University
  • Cyberbullying Detection on Social Networks ($20,000) - 2016-2017

    • UTS Early Career Researcher Grant (UTS - ECRG)
    • University of Technology Sydney

Professional Services

Editorship

  • Guest Editor for Special Issue: IEEE Transactions on Neural Networks and Learning Systems
  • Guest Editor for Special Issue: Future Generation Computer Systems
  • Guest Editor for Special Issue: Complexity
  • Associate Editor: IEEE Access

Conference Organisation

  • PC Chair: 2021 International Conference on Data Science and Systems (DSS-2021)
  • Workshop Chair: 2021 IEEE International Conference on Big Data
  • Tutorial Chair: 2020Digital 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)

Program Committee

  • The International Conference on Learning Representations (ICLR-21)
  • Annual Conference on Neural Information Processing Systems (NeurIPS-20,2019) (CORE A*)
  • SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20,19) (CORE A*)
  • AAAI Conference on Artificial Intelligence (AAAI-20,19,18,17) (CORE A*)
  • The Web Conference (WWW-20,19) (CORE A*)
  • International Joint Conference on Artificial Intelligence (IJCAI-20,19,18,17) (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

  • shirui.pan at monash.edu
  • 03 9905 9013
  • 25 Exhibition Walk, Clayton, VIC 3800