Publications

Book Chapters

• Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Conor Hayes and Thorsten Strufe. Churn in Social Networks . In Handbook of Social Networks: Technologies and Applications, Springer Verlag, 2010. Pg. 185–220.

Journals

• Yang Lei, James Bezdek, Jeffrey Chan, Nguyen Vinh, Simone Romano and James Bailey.  Extending Information-Theoretic Validality Indices for Fuzzy Clustering.  IEEE Transactions of Fuzzy Systems.  (to appear, accepted June 2016).  ERA A* rated.
• Nguyen Xuan Vinh, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Jian Pei.  Discovering Outlying Aspects in Large Datasets.  Data Mining and Knowledge Discovery.  (to appear, accepted December 2015).  ERA A* rated.
• Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I.P. Rubenstein.  A Game Theoretical Approach to Defend against Co-resident Attacks in Cloud Computing: Preventing Co-residence using Semi-supervised Learning.  IEEE Transactions on Information Forensics and Security.  (to appear, accepted December 2015).  ERA A* rated.
• Vinh Nguyen, Shuo Zhou, Jeffrey Chan and James Bailey.  Can High-Order Dependencies Improve Mutual Information based Feature Selection?  Pattern Recognition.  (to appear, accepted November 2015).  ERA A* rated.
• Sareh Fotuhi Piraghaj, Rodrigo N. Calheiros, Jeffrey Chan, Amir Vahid Dastjerdi and Rajkumar Buyya.  Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources.  The Computer Journal.  (to appear, accepted October 2015).  ERA A rated.
• Yi Han, Jeffrey Chan, Tansu Alpcan and Christopher Leckie.  Using Virtual Machine Allocation Policies to Defend against Co-resident Attacks in Cloud Computing.  IEEE Transactions on Dependable and Secure Computing. (to appear, accepted April 2015).  ERA A* rated.
• Gerard Wong, Jeffrey Chan, Bronwyn Kingwell, Christoper Leckie and Peter Meikle. LICRE: unsupervised feature correlation reduction for lipidomics. Bioinformatics. Volume 30, Number 19, October 2014. Pg. 2832–2833. Supplementary materia.  ERA A rated.
• Jeffrey Chan, Samantha Lam and Conor Hayes. Generalised Blockmodelling of Social and Relational Networks using Evolutionary Computing . Social Networks and Mining. Volume 4, Issue 1, February 2014. Pg. 1–24.
• Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey and Christopher Lecke. A Time Decoupling Approach for Studying Forum Dynamics . Wide Wide Web Journal. Volume 16, Issue 5-6, November 2013. Pg. 595–620.
• Jeffrey Chan, James Bailey, Christopher Leckie and Michael Houle. ciForager: Incrementally Discovering Regions of Correlated Change in Evolving Graphs . IEEE Transactions on Knowledge Discovery from Data. Volume 6, Issue 3, October 2012. Pg. 11:1-11:50.
• Jeffrey Chan, James Bailey and Christopher Leckie. Using Graph Partitioning to Discover Regions of Correlated Change Spatio-Temporal Change in Evolving Graphs . Intelligent Data Analysis. Volume 13, Issue 5, October 2009. Pg. 755-793.
• Jeffrey Chan, James Bailey and Christopher Leckie. Discovering Correlated Spatio-Temporal Changes in Evolving Graphs . Knowledge and Information Systems. Volume 16, Issue 1, July 2008. Pg. 53-96. 

Conferences

• Lida Rashidi, Christopher Leckie, Sutharshan Rajasegarar, Andrey Kan, Jeffrey Chan and  James Bailey.  Node Re-ordering as a means of Anomaly Detection in Time-Evolving Graphs.  In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, September 2016 (to appear).  Core A rated.
• Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao and Teh Ken Wee.  PersTour: A Personalized Tour Recommendation and Planning System.  In Proceedings of the 27th ACM Conference on Hypertext and Social Media (Demo), June 2016.  Core A rated.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera.  Towards Next Generation Touring: Personalized Group Tours.  In Proceedings of the 26th International Conference on Automated Planning and Scheduling, June 2016 (to appear).  CORE A* rated.
• Jiazhen He, Benjamin I.P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan and Jeffrey Chan.  MOOCs Meet Measurement Theory: A Topic-Modelling Approach.  In Proceedings of the 30th AAAI Conference on Artificial Intelligence, February 2016 (to appear).  CORE A* rated.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Personalized Tour Recommendation based on User Interests and Points of Interest Visit Durations.   In Proceedings of the 24th International Joint Conference on Artificial Intelligence, July 2015.  Pg. 1778–1784.  CORE A* rated.
• Nguyen Xuan Vinh, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Jian Pei. Scalable Outlying-Inlying Aspects Discovery via Features Ranking. In Proceedings of the 19th Pacific Asia Conference on Knowledge Discovery and Data Mining, May 2015, Pg. 422-434.  CORE A rated.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Detecting Location-centric Communities using Social-Spatial Links with Temporal Constraints. In Proceedings of European Conference on Information Retrieval, March 2015. Pg. 489–494.
• Jeffrey Chan, Christopher Leckie, James Bailey and Kotagiri Ramamohanara. TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. In Proceedings of the 15th IEEE International Conference on Data Mining, December 2014. Pg. 737–742.  CORE A* rated.
• Yang Lei, James C. Bezdek, Jeffrey Chan, Nguyen Xuan Vinh, Simone Romano and James Bailey. Generalized Information Theoretic Cluster Validity Indices for Soft Clusterings. In Proceedings of the IEEE Symposium Series on Computational Intelligence, December 2014.  Pg. 24–31.
• Yang Lei, Vinh Nguyen, Jeffrey Chan and James Bailey. FILTA: Better View Discovery from Collections of Clusterings via Filtering. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2014. Pg. 145-160.  CORE A rated.
• Vinh Nguyen, Jeffrey Chan, Simone Romano and James Bailey. Effective Global Approaches for Mutual Information based Feature Selection. In Proceedings of the 20th ACM Conference on Knowledge Discovery and Data Mining, August 2014. Pg. 512–521.  CORE A* rated.
• Vinh Nguyen, Jeffrey Chan and James Bailey. Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, July 2014. Pg. 2013–2019.  CORE A* rated.
• Yi Han, Jeffrey Chan, Tansu Alpcan and Christopher Leckie. Virtual Machine Allocation Policies against Co-resident Attacks in Cloud Computing. In Proceedings of the IEEE International Conference on Communications, June 2014. Pg. 786–792.  
• Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao and Jian Pei. Structure-aware Distance Measures for Comparing Clusterings in Graphs. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2014. Pg. 362–373.  Matlab code.  CORE A* rated. 
• Yi Han, Tansu Alpcan, Jeffrey Chan and Christopher Leckie. Security Games for Virtual Machine Allocation in Cloud Computing. In Proceedings of IEEE GameSec, November 2013. Pg. 99–118.
• Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. Discovering Latent Blockmodels in Sparse and Noisy Graphs using Non-Negative Matrix Factorisation. In Proceedings of 22nd ACM International Conference on Information and Knowledge Management, October 2013. Pg. 811–816.  supplementary. CORE A* rated. 
• Timothy Havens, James Bezdek, Christopher Leckie, Jeffery Chan, Wei Liu, James Bailey, Kotagiri Romamohanarao and Marimuthu Palaniswami. Clustering and Visualization of Fuzzy Communities in Social Netorks. In Proceedings of the 2013 IEEE International Conference on Fuzzy Systems, July 2013. Pg. 1–7.  CORE A rated.
• Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie and Kotagiri Ramamohanarao. A Bayesian Classifier for Learning from Tensorial Data. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, June 2013. Pg. 483–498.  CORE A rated.
• Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Ramamohanarao Kotagiri. Mining Labelled Tensors by Discovering Both Their Common and Discriminative Subspaces. In Proceedings of the SIAM International Conference on Data Mining, May 2013. Pg. 614–622.  CORE A* rated.
• Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Ramamohanarao Kotagiri, and Jian Pei. On Compressing Weighted Time-evolving Graphs. In Proceedings of 21st ACM International Conference on Information and Knowledge Management, October, 2012. Pg. 2319–2322.  CORE A* rated.
• Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Ramamohanarao Kotagiri. Utilizing Common Substructures to Speedup Tensor Factorization for Mining Dynamic Graphs. In Proceedings of 21st ACM International Conference on Information and Knowledge Management, October, 2012. Pg. 435–444.  CORE A* rated.
• Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. SeqiBloc: Mining Multi-time Spanning Blockmodels in Dynamic Graphs. In Proceedings of 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, August, 2012. Pg. 651–659.  CORE A* rated.
  (Errata: In Figure 2, vertex 2 should have the neighbourhood of vertices 1,2,3,4 rather than vertices 2,3,4,8)
• Arthur White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy. Mixed Membership Models for Exploring User Roles in Online Fora. In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media, Dublin, Ireland, June 2012. Pg. 599-603. (Poster)
• Marcel Karnstedt, Matthew Rowe, Jeffrey Chan, Harith Alani, Conor Hayes. The Effect of User Features on Churn in Social Networks. In Proceedings of the ACM International Conference on Web Science, Koblenz, Germany, June 2011. Pg. 23:1–23:8. Best paper.
• Andrey Kan, Jeffrey Chan, Conor Hayes and Bernie Hogan. Studying Forum Dynamics from a User Engagement Perspective. In Proceedings of the ACM International Conference on Web Science, Koblenz, Germany, June 2011. Pg. 3–5.
• Erik Aumayr, Jeffrey Chan, Conor Hayes. Reconstruction of Threaded Conversations in Online Discussion Forums. In Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, Barcelona, Spain, July 2011. Pg.
• Jeffrey Chan, Samantha Lam, Conor Hayes. Increasing the scalability of the Fitting of Generalised Blockmodels for Social Networks. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, July 2011. Pg. 1218–1224.  CORE A* rated.
• Marcel Karnstedt, Tara Hennessy, Jeffrey Chan and Conor Hayes. Churn in Social Networks: A Discussion Boards Case Study. In Proceedings of 2nd IEEE International Conference on Social Computing, pp. 233-240, Minneapolis, USA, July 2010. Pg. 233–240.
• Jeffrey Chan, Elizabeth Daly and Conor Hayes. Decomposing Discussion Forums and Boards using User Roles. In Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, Washington DC, USA, May 2010. Pg. 215–218.
• Jeffrey Chan, Conor Hayes. Decomposing Discussion Forums using User Roles. In Proceedings of the 2nd Web Science Conference, Raleigh, US, April 2010. Pg. 1–8.
• Andrey Kan, Jeffrey Chan, James Bailey and Christopher Leckie. A Query Based Approach for Mining Evolving Graphs. In Proceedings of the 8th Australasian Data Mining Conference. Melbourne, Australia, December 2009. Pg. 139–150.
• Jeffrey Chan, Lipo Chan, Chenfeng Zhou, Christopher Leckie and Shanika Karunasekera. Spatio-Temporal Detection of Compromised Peers in Collaborative Intrusion Detection Systems. In Proceedings of the 10th International Symposium on Recent Advances in Intrusion Detection, September 2007. Pg. 361–365. (Poster)  CORE A rated.
• Jeffrey Chan, Tao Peng and Christopher Leckie. Hitlist Worm Detection using Source IP Address History. In Proceedings of Australian Telecommunication Networks and Applications Conference 2006, December 2006. Pg. 1–5.

Workshops

• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera.  Improving Location Prediction using a Social Historical Model with Strict Recency Context.  In Proceedings of the 5th Workshop on Context-awareness in Retrieval and Recommendation (CaRR’15), in-conjunction with the 37th European Conference on Information Retrieval (ECIR’15),  March 2015.  Pg. 
• Yi Han, Jeffrey Chan and Christopher Leckie. Analysing Virtual Machine Usage in Cloud Computing. In Proceedings of the IEEE 2013 3rd International Workshop on Performance Aspects of Cloud and Service Virtualization, June 2013. Pg. 370–377.
• Jeffrey Chan, James Bailey and Christopher Leckie. Discovering and Summarising Regions of Correlated Spatio-temporal Change in Evolving Graphs. In Proceedings of the 1st International Workshop on Spatial and Spatio-temporal Data Mining, December 2006. Pg.

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Phd Thesis

Title: Finding correlated changes in evolving graphs
Supervisors: Prof. James Bailey , Prof Christopher Leckie

Summary: Given a time series of snapshots of an evolving graph, we wish to group correlated changes together. Grouping related, correlated changes can to help to summarise the changes.Thesis: Discovering Regions of Correlated Change in Dynamic Graphs

Honours Thesis

Title: Simulation and Detection of Hitlist Worms.
Supervisors: Prof Christopher Leckie , Dr Tao Peng

Summary: Simulation and Detection of hitlist worms using the history of source address access lists.Thesis: History based IP Worm Detection paper