Projects per year
Personal profile
Biography
Shirui Pan is currently a Lecturer with the Faculty of Information Technology, Monash University, Australia. Prior to that, he was a Lecturer at the University of Technology Sydney (UTS). Dr Pan received the Ph.D degree in data science from UTS, NSW, Australia. After that, he worked as a Research Fellow (from Aug 2015 to June 2018) at the Centre for Artificial Intelligence (CAI), School of Software, UTS.
Research interests
Dr Pan's research interests include
- data mining
- machine learning
- deep learning
- graph and network analytics
- NLP
To date, Dr Pan has published over 80 research papers in top-tier journals and conferences, including the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Cybernetics (TCYB), NeurIPS, KDD, WWW, CVPR, ICDE, AAAI, IJCAI, ICDM, SDM, PAKDD.
More information about his research can be found at https://shiruipan.github.io/.
Monash teaching commitment
Dr Pan teaches the following unit(s) at Monash University
- FIT5196 Data Wrangling
- FIT5212 Data Analysis for Semi-structured Data
The FIT5212 Data Analysis for Semi-structured Data unit is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.
Community service
Dr Pan regularly serves as an Associate Editor, Session Chair, Invited Reviewer, Program Committee Member for a number of journals and conferences. His professional services include:
Editorship
- Associate Editor: IEEE Access
- Guest Editor: IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Guest Editor: Future Generation Computing Systems
- Guest Editor: Complexity
- Guest Editor: Neurocomputing
Conference Organisation
- 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)
- Pattern Recognition (PR) (CORE A*)
- Information Sciences (CORE A)
- 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
Program Committee
- Annual Conference on Neural Information Processing Systems (NeurIPS 20,19)(CORE A*)
- SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20,19)(CORE A*)
- The Web Conference (WWW-20,19)(CORE A*)
- AAAI Conference on Artificial Intelligence (AAAI-20,19,18,17) (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 Federation (CCF) Conference on Big Data (CCF Big Data 2017)
Research area keywords
- Data Mining
- Machine Learning
- Deep Learning
- Artificial intelligence
- Network Analysis
- Graph embedding
- Natural Language Processing
Network
Projects
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Intelligent process control based on large-scale data mining and deep reinforcement learning
1/07/20 → 30/06/23
Project: Research
-
Reasoning under Uncertainty with Natural Language (2)
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
1/06/20 → 30/06/22
Project: Research
-
Reasoning under Uncertainty with Natural Language
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
The Defence Science and Technology Group
4/12/19 → 28/08/20
Project: Research
Research output
-
A comprehensive survey on graph neural networks
Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C. & Yu, P. S., Jan 2021, In : IEEE Transactions on Neural Networks and Learning Systems. 32, 1, p. 4-24 21 p.Research output: Contribution to journal › Article › Research › peer-review
74 Citations (Scopus) -
Learning graph embedding with adversarial training methods
Pan, S., Hu, R., Fung, S-F., Long, G., Jiang, J. & Zhang, C., Jun 2020, In : IEEE Transactions on Cybernetics. 50, 6, p. 2475-2487 13 p.Research output: Contribution to journal › Article › Research › peer-review
22 Citations (Scopus) -
CFOND: consensus factorization for co-clustering networked data
Guo, T., Pan, S., Zhu, X. & Zhang, C., 1 Apr 2019, In : IEEE Transactions on Knowledge and Data Engineering. 31, 4, p. 706-719 14 p.Research output: Contribution to journal › Article › Research › peer-review
13 Citations (Scopus) -
Connecting the dots: multivariate time series forecasting with graph neural networks
Wu, Z., Pan, S., Long, G., Jiang, J., Chang, X. & Zhang, C., Aug 2020, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Tang, J. & Aditya Prakash, B. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 753–763 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
-
Tri-party deep network representation
Pan, S., Wu, J., Zhu, X., Zhang, C. & Wang, Y., 2016, IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016: New York, New York, USA 9–15 July 2016. Kambhampati, S. (ed.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 1895-1901 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile162 Citations (Scopus)
Prizes
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ICDM 2020 Best Student Paper Award
Man Wu (Recipient), Pan, Shirui (Recipient) & Xingquan Zhu (Recipient), 2020
Prize: Prize (including medals and awards)
Activities
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NeurIPS
Shirui Pan (Member of programme committee)
10 Dec 2019 → 14 Dec 2019Activity: Participating in or organising an event types › Contribution to conference
-
IEEE Access (Journal)
Shirui Pan (Guest editor)
1 May 2019 → 31 Dec 2019Activity: Publication peer-review and editorial work types › Editorial responsibility
-
AAAI Conference on Artificial Intelligence 2018
Shirui Pan (Member of programme committee)
2 Feb 2018 → 7 Feb 2018Activity: Participating in or organising an event types › Contribution to conference
-
2018 International Joint Conference on Neural Networks, IJCNN 2018
Shirui Pan (Session chair)
8 Jul 2018 → 13 Jul 2018Activity: Participating in or organising an event types › Contribution to conference
-
International Joint Conference on Artificial Intelligence 2018
Shirui Pan (Member of programme committee)
13 Jul 2018 → 19 Jul 2018Activity: Participating in or organising an event types › Contribution to conference