What’s New

Recent Publications

IEEE Trans x20; ICDE, IJCAI, AAAI, ICDM, SDM, CIKM, PAKDD

(2020). One-Shot Neural Architecture Search via Novelty Driven Sampling. International Joint Conference on Artificial Intelligence, IJCAI-20.

(2020). A comprehensive survey on graph neural networks. IEEE Transactions on Neural Networks and Learning Systems.

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(2020). Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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

Heterogeneous Information 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 [Monash]

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He Zhang

PhD Student (To be Enrolled in 2021)

Artificial Intelligence, Machine Learning

PhD Students [External]

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Zonghan Wu

PhD Student (2018-) @ UTS

Artificial Intelligence, Machine Learning, Graph Neural Networks, Structure Learning

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Guojia Wan

PhD Student (2018-) @ Wuhan U.

Artificial Intelligence, Knowledge Graph, Graph Mining

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Miao Zhang

PhD Student (2016-) @ UTS & BIT

Artificial Intelligence, AutoML, Bayesian Optimization

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Fengwen Chen

PhD Student (2017-) @ UTS

Artificial Intelligence, Machine Learning, Graph Neural Networks

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Man Wu

PhD Student (2020-) @ FAU

Artificial Intelligence, Machine Learning

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Shichao Zhu

PhD Student (2018-) @ CAS

Artificial Intelligence, Machine Learning

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Chun Wang

PhD Student (2016-) @ UTS

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

Visiting Students

Alumni

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Shaoxiong Ji

PhD Student @ Aalto U.

Artificial Intelligence, Machine Learning

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Ruiqi Hu

Postdoctoral Research Associate @ UTS

Artificial Intelligence, Graph Embedding, Graph Mining

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