What’s New

Recent Publications

IEEE Trans x17; ICDE, IJCAI x10, AAAI x2, ICDM, SDM, CIKM, PAKDD

(2019). Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM’19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

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(2019). Domain-Adversarial Graph Neural Networks for Text Classification. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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(2019). Relation Structure-Aware Heterogeneous Graph Neural Network. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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(2019). An Effective and Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. CIKM’19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

(2019). Low-Bit Quantization for Attributed Network Representation Learning. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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Professional Services

Editorship

  • Associate Editor: IEEE Access (Impact factor: 3.244)
  • Guest Editor for Special Issue: Complexity (Impact factor: 4.621)

Conference Organisation

  • Special Session Chair: Learning from Big Graph Data: Theory and Applications, IJCNN-2018 (ERA A)
  • Special Session Chair: Advanced Data Analytics for Large-scale Complex Data Environment, IJCNN- 2017 (ERA A)
  • Special Session Chair: Advanced Machine Learning Methods and Applications from Complicated Data Environment, IJCNN-2016 (ERA A)

Journal Reviewer

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

Program Committee

  • AAAI Conference on Artificial Intelligence (AAAI-20,19,18,17) (CORE A*)
  • Annual Conference on Neural Information Processing Systems (NeurIPS-2019) (CORE A*)
  • SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-19) (CORE A*)
  • The Web Conference (WWW-19) (CORE A*)
  • International Joint Conference on Artificial Intelligence (IJCAI-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 Federation (CCF) Conference on Big Data (CCF Big Data 2017)

Recent & Upcoming Talks

Grants

  • 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

Source Codes

Attributed Network Embedding

Network embedding has been a hot topic since 2014, which aims to embed each node into a compact and continuous vector space. Our developments include:

Discrete Network Embedding

The network embedding is typically represented in continuous vector, which imposes formidable challenges in storage and computation costs, particularly in largescale applications. To address the issue, we propose to learn succinct and discrete node representation for fast node recommendation and classification. Our methods include:

Graph Neural Networks

Graph Classification

Teaching

  • FIT5196: Data Wrangling, Lecturer, 2019 S1, Monash University

People

Team Leader

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Shirui Pan

Assistant Professor

Artificial Intelligence, Data Mining, Machine Learning, Deep Learning, NLP, Graph and Network Analysis

PhD Students

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Fengwen Chen

PhD Students

Artificial Intelligence, Machine Learning

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Zhonghan Wu

PhD Students

Artificial Intelligence, Machine Learning

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Guojia Wan

PhD Students

Artificial Intelligence, Knowledge Graph, Graph Mining

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Man Wu

PhD Students

Artificial Intelligence, Machine Learning

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Shichao Zhu

PhD Students

Artificial Intelligence, Machine Learning

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Chun Wang

PhD Students

Artificial Intelligence, Machine Learning, Graph Analysis, Weak-supervised Learning

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He Zhang

PhD Students

Artificial Intelligence, Machine Learning

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Miao Zhang

PhD Students

Artificial Intelligence, AutoML, Bayesian Optimization

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Taihang Dong

PhD Students

Artificial Intelligence, Machine Learning, Computer Vision

Visiting Students

Alumni

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Ruiqi Hu

Postdoctoral Research Associate

Artificial Intelligence, Graph Embedding, Graph Mining

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Shaoxiong Ji

Alumni

Artificial Intelligence, Machine Learning

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