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Professor Jiuyong Li (李久永)

  • Associate Head of School: Research School of Information Technology and Mathematical Sciences
  • Mawson Lakes Campus (D3-07)
  • tel +61 8 830 23898
  • fax +61 8 830 23381
  • email Jiuyong.Li@unisa.edu.au
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About me

About me

Professor Jiuyong Li  (李久永)

Alias: John Li OR "Jui yon Lee" for my name Jiuyong Li.  

Jiuyong Li is a Professor of Computer Science at the School of Information Technology and Mathematical Science of the University of South Australia (UniSA). He is the Director of the Data Analytics Group and the Associate Head of the School (Research Education). He received his PhD degree from Griffith University, Australia.

His research interests are in data mining, biomedical informatics, social media analytics, and privacy preservation. He has published more than 100 papers in top journals and conferences in his field. His research work has been supported by six Australian Research Council Discovery grants and has attracted more than 1 million industry funds. He has been... Read more

School of Information Technology and Mathematical Sciences

Offering degrees in IT, mathematics, science and data science, the School is a leading Australian applied maths department.

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About me

Alias: John Li OR "Jui yon Lee" for my name Jiuyong Li.  

Jiuyong Li is a Professor of Computer Science at the School of Information Technology and Mathematical Science of the University of South Australia (UniSA). He is the Director of the Data Analytics Group and the Associate Head of the School (Research Education). He received his PhD degree from Griffith University, Australia.

His research interests are in data mining, biomedical informatics, social media analytics, and privacy preservation. He has published more than 100 papers in top journals and conferences in his field. His research work has been supported by six Australian Research Council Discovery grants and has attracted more than 1 million industry funds. He has been awarded a number of senior visiting fellowships, including a Nokia Visiting Professor Scholarship. He is a member of the National Committee of Artificial Intelligence of Australian Computer Society, and a member of the Steering Committee of Australasian Data Mining Conference. He frequently reviews papers in top journals and serves in the senior PC committees in leading conferences in his field.  

My papers and software tools

http://nugget.unisa.edu.au/jiuyong/ and http://nugget.unisa.edu.au/Causalbook/

My paper list: DBLP (Computer Science) and some missed by DBLP

My citations: Google Scholar

Major research grants (selected)

  • ARC Discovery grant (2017 - 2019, DP170101306), Jiuyong Li, Lin Liu, Xindong Wu, and Gregory Goodall, Efficient data mining methods for evidence-based decision making.
  • CRC Data to Decision project (2015 - 2018), Jiuyong Li, et al. Beat the news - building classification and prediction systems for civil unrest events.
  • ARC Discovery grant (2014 - 2016, DP140103617), Jiuyong Li, Lin Liu, Zeng-Hua Lu, and Gregory Goodall, Efficient causal discovery from observational data.
  • ARC Discovery grant (2013 - 2015, DP130104090), Jiuyong Li, Lin Liu, Jian Pei, and Gregory Goodall, Developing novel data mining methods to reveal complex group relationships from heterogeneous data.
  • ARC Discovery grant (2011 - 2013, DP110103142), Jiuyong Li and Bradley Malin, Studying privacy protection methods for multiple independent data releases
  • ARC Discovery grant (2007 - 2009, DP0774450), Jiuyong Li and Hua Wang, Privacy preserving data sharing in data mining environment
  • ARC Discovery grant (2005 - 2007, DP0559090), Jiuyong Li, Investigation and development of robust rule discovery and classification system

Major community service (selected)

  • Area chair, IEEE International Conference on Data Mining (ICDM), 2014,2015.  (CORE conference rank A*)
  • Senior PC member for Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2012, 2013, 2014, 2015, 2016. (CORE conference rank A)
  • PC member for ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2010, 2012, 2015, 2016. (CORE conference rank A*)
  • PC member for the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011, 2012, 2014, 2015, 2016. (CORE conference rank A)
  • PC member for SIAM International Conference on Data Mining (SDM) 2009, 2010, 2012, 2014, 2015, 2016. (CORE conference rank A)
  • Workshop Co-chair for ICDM Workshop on Causal Discovery, 2013.
  • Workshop Co-chair for Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2013. (CORE conference rank A)
  • PC Co-chair of Australasian Data Mining Conference 2011, 2012.
  • PC Chair of Australasian Joint Conference in Artificial Intelligence 2010.
  • Co-chair of Australasian Data Mining Conference 2009.
  • Organising Chair of Australasian Data Mining Conference 2008.
  • Co-general chair of Australasian Data Mining Conference 2006, 2007.
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Professional Associations

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Experience

Qualifications

  • Doctor of Philosophy Griffith University

  • Master of Science (Computer and Information Science) Yunnan University

  • Bachelor of Science (Physics) Yunnan University

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Research

Research focus

  • Information and Computing Sciences
  • Artificial Intelligence and Image Processing
  • Biological Sciences
  • Mathematical Sciences
  • Medical and Health Sciences

Highlights

  • Data mining / Machine Learning
  • Biomedical informatics
  • Fairnee aware computing
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Research

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Projects

Excludes commercial-in-confidence projects.

  • D2D CRC Limited Scholarship, D2D CRC Limited, 16/10/2017 - 17/10/2020

  • Develop efficient data mining methods for evidence based decision making, ARC - Discovery Projects, 29/06/2017 - 28/06/2020

  • Int Policing: Entity Linking & Resolution, D2D CRC Limited, 01/01/2016 - 31/12/2019

  • D2D CRC Limited Scholarship, D2D CRC Limited, 28/11/2016 - 30/11/2019

  • D2D CRC Limited Scholarship, D2D CRC Limited, 16/03/2016 - 30/09/2019

  • Online Monitoring Guidance Manual Incorporating Decision Support Tools for Superior Process Performance WRA Project Number: 1075-13, Water Research Australia, 17/11/2014 - 31/12/2017

  • Efficient causal discovery from observational data, ARC - Discovery Projects, 19/06/2014 - 31/12/2017

  • Stage 4 - Economic Complexity Analysis, Department of Innovation and Skills (formerly DSD), 01/06/2016 - 30/06/2017

  • D2D CRC Limited Scholarship, D2D CRC Limited, 29/02/2016 - 30/11/2016

  • Developing novel data mining methods to reveal complex group relationships from heterogeneous data, ARC - Discovery Projects, 14/03/2013 - 24/11/2016

  • An Economic Complexity analysis of Australia's states, Department for Manufacturing, Innovation, Trade, Resources and Energy - SA, 26/06/2014 - 30/09/2015

  • Data mining of learning behaviours and interactions for improved sentiment and performance, Office for Learning and Teaching Grants - Innovation & Development, 29/06/2013 - 31/07/2015

  • Studying privacy protection methods for multiple independent data releases, ARC - Discovery Projects, 01/01/2011 - 31/12/2014

  • Confidential document sharing by automatic document sanitization, Australia-India Strategic Research Fund, 01/11/2012 - 31/07/2013

  • Privacy preserving data sharing in data mining environments, ARC - Discovery Projects, 16/04/2007 - 31/12/2012

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Research

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Outputs

Research since 2008 is shown below. To see earlier years visit ORCID, ResearcherID or Scopus

Open access indicates that an output is open access.

Highlights

Year Output
2017

Li, J, Ma, S, Le, T, Liu, L & Liu, J 2017, 'Causal Decision Trees', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 2, pp. 257-271.

Open access 5 2 1
2017

Weijia Zhang , Le, TD, Liu, L, Zhou, Z-H & Li, J 2017, 'Mining heterogeneous causal effects for personalized cancer treatment', Bioinformatics, vol. 33, no. 15, pp. 2372-2378.

Open access 3 3 2
2015

Li, J, Le, TD, Liu, L, Liu, J, Jin, Z, Sun, B & Ma, S 2015, 'From observational studies to causal rule mining', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 2, article no. 14.

Open access 14 3 1
2014

Sun, Y, Li, J, Liu, J, Chow, C, Sun, B & Wang, R 2014, 'Using causal discovery for feature selection in multivariate numerical time series', Machine Learning, vol. 101, pp. 377-395.

12 9 3
2013

Le, TD, Liu, L, Tsykin, A, Goodall, GJ, Liu, B, Sun, B-Y & Li, J 2013, 'Inferring microRNA-mRNA causal regulatory relationships from expression data', Bioinformatics, vol. 29, no. 6, pp. 765-771.

Open access 42 41 4

Books

Year Output
2015

Li, J, Liu, L & Le, TD 2015, Practical approaches to causal relationship exploration, Springer, US.

Chapters

Year Output
2015

Kwashie, S, Liu, J, Li, J & Ye, F 2015, 'Conditional differential dependencies (CDDs)', in M Tadeusz, P Valduriez & L Bellatreche (eds), Advances in Databases and Information Systems, Springer, Switzerland, pp. 3-17.

1
2015

Li, J, Sattar, S, Baig, M, Liu, J, Heatherly, R, Tang, Q & Malin, B 2015, 'Methods to mitigate risk of composition attack in independent data publications', in A Gkoulalas-Divanis & G Loukides (eds), Medical data privacy handbook, Springer, Switzerland, ch. 8, pp. 179-200.

2
2014

Liu, L & Li, J 2014, 'Building Naïve Bayes Classifiers with high-dimensional and small-sized datasets', in A Agah (ed.), Medical applications of artificial intelligence, CRC Press, Boca Raton, Florida, ch. 8, pp. 115-135.

Open access
2013

Liu, B, Liu, L, Tsykin, A, Goodall, G, Cairns, MJ & Li, J 2013, 'Discovering the functional microRNA-mRNA regulatory modules in heterogeneous data', in U Schmitz, O Wolkenhauer & J Vera (eds), MicroRNA cancer regulation : advanced concepts, bioinformatics and systems biology tools, Springer, UK, ch. 14, pp. 267-289.

1
2011

Sun, X, Wang, H & Li, J 2011, 'Validating privacy requirements in large survey rating data', in N Bessis & F Xhafa (eds), Next Generation Data Technologies for Collective Computational Intelligence, 1st ed., Springer, Heidelberg, ch. 17, pp. 445-469.

Open access
2010

Baig, MM, Li, J, Liu, J, Wang, H & Wang, J 2010, 'Privacy protection for genomic data: current techniques and challenges', in ZW Ras (ed.), Advances in intelligent information systems, Springer, Berlin, vol. 265, pp. 175-193.

2010

Leng, J, Lim, CP, Li, J, Li, D & Jain, L 2010, 'A role-based cognitive architecture for multi-agent teaming', in A Hakansson, R Hartung & NT Nguyen (eds), Agent and multi-agent technology for internet and enterprise systems, Tsinghua University Press & Springer-Verlag, Germany, pp. 229-255.

1

Journal Articles

Year Output
2019

Bewong, M, Liu, J, Liu, L & Li, J 2019, 'Privacy preserving serial publication of transactional data', Information Systems, vol. 82, pp. 53-70.

2019

Choobdar, S, Ahsen, ME, Crawford, J, Tomasoni, M, Le, TD, Li, J, Liu, L, Zhang, W & Marbach, D and 168 other authors and 1 consortia 2019, 'Assessment of network module identification across complex diseases', Nature Methods, vol. 16, no. 9, pp. 843-852.

Open access
2019

Li, J, Kwashie, S, Liu, J, Liu, L, Stumptner, M & Yang, L 2019, 'Certus: an effective entity resolution approach with graph differential dependencies (GDDs)', Proceedings of the VLDB Endowment, vol. 12, n o. 6, pp. 653-666.

Open access 1
2019

Ma, S, Li, J, Liu, L & Le, TD 2019, 'Discovering context specific causal relationships', Intelligent Data Analysis, vol. 23, no. 4, pp. 917-931.

Open access
2019

Pham, VV, Zhang, J, Liu, L, Truong, B, Xu, T, Nguyen, TT, Li, J & Le, TD 2019, 'Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction', BMC Bioinformatics, vol. 20, no. 1, article no. 143, pp. 1-12.

Open access 1 2 5
2019

Zhang, J, Liu, L, Xu, T, Xie, Y, Zhao, C, Li, J & Le, TD 2019, 'MiRspongeR: An R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules', BMC Bioinformatics, vol. 20, no. 1, article no. 235, pp. 1-12.

Open access 3
2018

Bewong, M, Liu, J, Liu, L, Li, J & Choo, K-KR 2018, 'A relative privacy model for effective privacy preservation in transactional data', Concurrency and Computation: Practice and Experience, online, article no. e4923, pp. 1-13.

Open access 2
2018

Chow, CW, Liu, J, Li, J, Swlkain, N, Reid, K & Saint, CP 2018, 'Development of smart data analytics tools to support wastewater treatment plant operation', Chemometrics and Intelligent Laboratory Systems, vol. 177, pp. 140-150.

5 4
2018

Helal, S, Li, J, Liu, L, Ebrahimie, E, Dawson, S, Murray, DJ & Long, Q 2018, 'Predicting academic performance by considering student heterogeneity', Knowledge-Based Systems, vol. 161, pp. 134-146.

7 2
2018

Hoang, T, Liu, J, Pratt, N, Zheng, VW, Chang, KC, Roughead, E & Li, J 2018, 'Authenticity and credibility aware detection of adverse drug events from social media', International Journal of Medical Informatics, vol. 120, pp. 101-115.

2018

Hoang, T, Liu, J, Roughead, E, Pratt, N & Li, J 2018, 'Supervised signal detection for adverse drug reactions in medication dispensing data', Computer Methods and Programs in Biomedicine, vol. 161, pp. 25-38.

2 1 2
2018

Liu, J, Zhang, X, Fung, BC, Li, J & Iqbal, F 2018, 'Opportunistic mining of top-n high utility patterns', Information Sciences, vol. 441, pp. 171-186.

3 3
2018

Reynolds, C, Agrawal, M, Lee, I, Zhan, C, Li, J, Taylor, P, Mares, T, Morison, J, Angelakis, N & Roos, G 2018, 'A sub-national economic complexity analysis of Australia's states and territories', Regional Studies, vol. 52, no. 5, pp. 715–726.

Open access 2 1 5
2018

Thuyen, T, Suriyanarayanan, T, Zeng, G, Le, TD, Liu, L, Li, J, Tong, C, Wang, Y & Seneviratne, CJ 2018, 'Use of haploid model of Candida albicans to uncover mechanism of action of a novel antifungal agent', Frontiers in Cellular and Infection Microbiology, vol. 8, article no. 164, pp. 1-14.

Open access 2
2018

Xu, T, Su, N, Liu, L, Zhang, J, Wang, H, Zhang, W, Gui, J, Yu, K, Li, J & Le, T 2018, 'miRBaseConverter: An R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase', BMC Bioinformatics, vol. 19, article no. 514, pp. 1-10.

Open access 1 1 1
2018

Yu, K, Liu, L, Li, J & Chen, H 2018, 'Mining Markov blankets without causal sufficiency', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6333-6347.

3 2
2018

Zhan, C, Roughead, E, Liu, L, Pratt, N & Li, J 2018, 'A data-driven method to detect adverse drug events from prescription data', Journal of Biomedical Informatics, vol. 85, pp. 10-20.

2
2018

Zhang, J, Le, TD, Liu, L & Li, J 2018, 'Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer', Briefings in Bioinformatics, vol. 20, no. 4, pp. 1403-1419.

1
2018

Zhang, J, Liu, L, Li, J & Le, TD 2018, 'LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer', Bioinformatics, vol. 34, no. 24, pp. 4232-4240.

5 4 2
2018

Zhang, W, Le, DT, Lui, L & Li, J 2018, 'Estimating heterogeneous treatment effect by balancing heterogeneity and fitness', BMC Bioinformatics, vol. 19, article no. 518, pp. 1-12.

Open access
2018

Zhang, Z, Liu, L, Wang, H, Li, J, Hu, D, Yan, J, Algesheimer, R & Meierer, M 2018, 'Collective behavior learning by differentiating personal preference from peer influence', Knowledge-Based Systems, vol. 159, pp. 233-243.

2018

Zhang, Z, Wang, H, Liu, L & Li, J 2018, 'Multi-label relational classification via node and label correlation', Neurocomputing, vol. 292, pp. 72-81.

Open access 3 2
2017

Le, TD, Zhang, J, Liu, L & Li, J 2017, 'Computational methods for identifying miRNA sponge interactions', Briefings in Bioinformatics, vol. 18, no. 4, pp. 577-590.

27 24 2
2017

Li, J, Liu, L, Liu, J & Green, R 2017, 'Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data', Health Information Science and Systems, vol. 5, no. 5, pp. 1-10.

Open access 1
2017

Li, J, Ma, S, Le, T, Liu, L & Liu, J 2017, 'Causal Decision Trees', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 2, pp. 257-271.

Open access 5 2 1
2017

Liu, H, Li, X, Li, J & Zhang, S 2017, 'Efficient outlier detection for high-dimensional data', IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 48, no. 12, pp. 2451-2461.

3 3
2017

Liu, H, Liu, L, Le, TD, Lee, I, Sun, S & Li, J 2017, 'Nonparametric sparse matrix decomposition for cross-view dimensionality reduction', IEEE Transactions on Multimedia, vol. 19, no. 8, article no. 7879190, pp. 1848-1859.

3 4
2017

Weijia Zhang , Le, TD, Liu, L, Zhou, Z-H & Li, J 2017, 'Mining heterogeneous causal effects for personalized cancer treatment', Bioinformatics, vol. 33, no. 15, pp. 2372-2378.

Open access 3 3 2
2017

Xu, T, Le, TD, Liu, L, Su, N, Wang, R, Sun, B, Colaprico, A, Bontempi, G & Li, J 2017, 'CancerSubtypes: An R/Bioconductor package for molecular cancer subtype identification, validation and visualization', Bioinformatics, vol. 33, n. 19, pp. 3131-3133.

Open access 18 17 7
2017

Zhang, J, Le, TD, Liu, L & Li, J 2017, 'Identifying miRNA sponge modules using biclustering and regulatory scores', BMC Bioinformatics, vol. 18, suppl. 3, article no. 44, pp. 1-12.

Open access 7 6 2
2017

Zhang, J, Le, TD, Liu, L & Li, J 2017, 'Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer', BMC Bioinformatics, vol. 18, no. 243, pp. 1-12.

Open access 10 8 2
2016

Deng, K, Li, J, Pang, C & Zhou, X 2016, 'Access time oracle for planar graphs', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 8, pp. 1959-1970.

1 1
2016

Hoang, T, Liu, J, Pratt, N, Zheng, VW, Chang, KC, Roughead, E & Li, J 2016, 'Detecting signals of detrimental prescribing cascades from social media', Artificial Intelligence in Medicine, vol. 71, pp. 43-56.

7 7 3
2016

Jamali, AA, Ferdousi, R, Razzaghi, S, Li, J, Safdari, R & Ebrahimie, E 2016, 'DrugMiner: comparative analysis of machine-learning algorithms for prediction of potential druggable proteins', Drug Discovery Today, vol. 21, no. 5, pp. 718-724.

Open access 25 24 10
2016

Li, J, Baig, MM, Sarowar, SA, Ding, X, Liu, J & Vincent, MW 2016, 'A hybrid approach to prevent composition attacks for independent data releases', Information Sciences, vol. 367-368, pp. 324-336.

Open access 10 7
2016

Ma, S, Li, J, Liu, L & Le, TD 2016, 'Mining combined causes in large data sets', Knowledge-Based Systems, vol. 92, pp. 104-111.

Open access 6 4
2016

Masud, K, Liu, L, Le, TD & Li, J 2016, 'Identification of miRNA-mRNA regulatory modules by exploring collective group relationships', BMC Genomics, vol. 17, no. S1, pp. 71-84.

Open access 12 8 2
2016

Weijia Zhang , Le, TD, Liu, L, Zhou, Z-H & Li, J 2016, 'Predicting miRNA targets by integrating gene regulatory knowledge with expression profiles', PLoS One, vol. 11, no. 4, article no. e0152860, pp. 1-19.

Open access 8 5 2
2016

Xu, T, Le, TD, Liu, L, Wang, R, Sun, B & Li, J 2016, 'Identifying cancer subtypes from miRNA-TFmRNA regulatory networks and expression data', PLoS One, vol. 11, no. 4, pp. 1-20.

Open access 22 13 7
2016

Zhang, J, Le, TD, Liu, L, He, J & Li Jiuyong, 2016, 'A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions', Gene, vol. 557, no. 1, pp. 55-64.

7 6 1
2016

Zhang, J, Le, TD, Liu, L, He, J & Li, J 2016, 'Identifying miRNA synergistic regulatory networks in heterogeneous human data via network motifs', Molecular Biosystems, vol. 12, no. 2, pp. 454-463.

4 4 1
2015

Le, TD, Zhang, J, Liu, L & Li, J 2015, 'Ensemble methods for MiRNA target prediction from expression data', PLoS One, vol. 10, no. 6, pp. 1-19.

Open access 19 15 2
2015

Le, TD, Zhang, J, Liu, L, Liu, H & Li, J 2015, 'miRLAB: An R Based Dry Lab for Exploring miRNA-mRNA Regulatory Relationships', PLoS One, vol. 10, no. 12, pp.1-15.

Open access 14 9 7
2015

Li, J, Le, TD, Liu, L, Liu, J, Jin, Z, Sun, B & Ma, S 2015, 'From observational studies to causal rule mining', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 2, article no. 14.

Open access 14 3 1
2015

Xia, W, Heatherly, R, Ding, X, Li, J & Malin, BA 2015, 'R-U policy frontiers for health data de-identification', Journal of the American Medical Informatics Association, vol. 22, no. 5, pp. 1029-1041.

Open access 6 7 10
2014

Le, TD, Hoang, T, Li, J, Liu, L, Liu, H & Hu, S 2014, 'A fast PC algorithm for high dimensional causal discovery with multi-core PCs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 13, no. 9, pp. 1-13.

Open access 5 3 3
2014

Le, TD, Liu, L, Zhang, J, Liu, B & Li, J 2014, 'From miRNA regulation to miRNA-TF co-regulation: computational approached and challenges', Briefings in Bioinformatics, vol. 16, no. 9, pp. 475-496.

Open access 18 13 2
2014

Li, J, Liu, J, Toivonen, H, Satou, K, Sun, Y & Sun, B 2014, 'Discovering statistically non-redundant subgroups', Knowledge-Based Systems, vol. 67, pp. 315-327.

5 4
2014

Liu, B, Li, J & Cairns, MJ 2014, 'Identifying miRNAs, targets and functions', Briefings in Bioinformatics, vol. 15, no. 1, pp. 1-19.

Open access 113 122 2
2014

Sattar, AS, Li, J, Liu, J, Heatherly, R & Malin, B 2014, 'A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments', Knowledge-Based Systems, vol. 67, pp. 361-372.

Open access 8 6
2014

Sun, B-Y, Wang, H-L, Li, W-B, Wang, H-J, Li, J & Du, Z-Q 2014, 'Constructing and combining orthogonal projection vectors for ordinal regression', Neural Processing Letters, vol. 41, pp. 139-155.

7 4
2014

Sun, Y, Li, J, Liu, J, Chow, C, Sun, B & Wang, R 2014, 'Using causal discovery for feature selection in multivariate numerical time series', Machine Learning, vol. 101, pp. 377-395.

12 9 3
2014

Sun, Y, Li, J, Liu, J, Sun, B & Chow, C 2014, 'An improvement of symbolic aggregate approximation distance measure for time series', Neurocomputing, vol. 138, pp. 189-198.

38 28
2014

Zhang, J, Le, TD, Liu, L, Liu, B, He, J, Goodall, GJ & Li, J 2014, 'Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data', Bioinformatics, v 30, no. 21, pp. 3070-3077.

Open access 13 8 3
2014

Zhang, J, Le, TD, Liu, L, Liu, B, Jianfeng, H, Goodall, GJ & Li, J 2014, 'Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data', Journal of Biomedical Informatics, vol. 52, pp. 438-447.

Open access 16 13
2014

Zhang, Z, Li, J, Pan, L, Ye, Y, Zeng, X, Song, T, Zhang, X & Wang, EK 2014, 'A novel visualization of DNA sequences, reflecting GC-content', Match, vol. 72, no. 2, pp. 533-550.

8 7
2013

Jiao, H, Liu, J, Li, J & Liu, C 2013, 'A two-layer multi-dimensional trustworthiness metric for web service composition', in Y Ishikawa et al. (eds), 15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013, Springer, pp. 151-162.

2013

Le, TD, Liu, L, Liu, B, Tsykin, A, Goodall, G, Satou, K & Li, J 2013, 'Inferring microRNA and transcription factor regulatory networks in heterogeneous data', BMC Bioinformatics, vol. 14, article no. 92, pp. 1-13.

Open access 32 34 3
2013

Le, TD, Liu, L, Tsykin, A, Goodall, GJ, Liu, B, Sun, B-Y & Li, J 2013, 'Inferring microRNA-mRNA causal regulatory relationships from expression data', Bioinformatics, vol. 29, no. 6, pp. 765-771.

Open access 42 41 4
2013

Li, J, Liu, J, Toivonen, H & Yong, J 2013, 'Effective pruning for the discovery of conditional functional dependencies', Computer Journal, vol. 56, no. 3, pp. 378-392.

Open access 16 8
2013

Liu, H, Li, J, Liu, L, Liu, J, Lee, I & Zhao, J 2013, 'Exploring groups from heterogeneous data via sparse learning', in J Pei et al. (ed.), Advances in Knowledge Discovery and Data Mining. 17th Pacific-Asia Conference, PAKDD 2013, Springer, vol. 7818, pp. 556-567.

1
2013

Liu, J, Ye, F, Li, J & Wang, J 2013, 'On discovery of functional dependencies from data', Data and Knowledge Engineering, vol. 86, pp. 146-159.

4 4
2013

Sattar, AS, Li, J, Ding, X, Liu, J & Vincent, M 2013, 'A general framework for privacy preserving data publishing', Knowledge-Based Systems, vol. 54, pp. 119-128.

22 17
2012

Baig, MM, Li, J, Liu, J, Ding, X & Wang, H 2012, 'Data privacy against composition attack', Lecture Notes in Computer Science, vol. 7238, pp. 320-334.

6
2012

Liu, J, Li, J & Chen, Y 2012, 'Discover dependencies from data: a review', IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 2, article no. 5601725, pp. 251-264.

67 38 3
2012

Natarajan, K, Li, J & Koronios, A 2012, 'Detecting data inconsistencies by multiple target rules', International Journal of Business and Systems Research, vol. 6, no. 3, pp. 296-312.

2012

Sun, X, Wang, H, Li, J & Zhang, Y 2012, 'An approximate microaggregation approach for microdata protection', Expert Systems with Applications, vol. 39, no. 2, pp. 2211-2219.

Open access 6 6
2012

Sun, X, Wang, H, Li, J & Zhang, Y 2012, 'Satisfying privacy requirements before data anonymization', Computer Journal, vol. 55, no. 4, pp. 422-437.

30 22
2012

Tran, VA, Clemente, JC, Nguyen, DT, Li, J, Dang, XT, Le, TTK, Nguyen, TLA, Saethank, T, Kubo, M, Yamada, Y & Satou, K 2012, 'IMPACT: a novel clustering algorithm based on attraction', Journal of Computers, vol. 7, no. 3, pp. 653-665.

Open access
2012

Zhang, J, Liu, B, Jianfeng, H, Ma, L & Li, J 2012, 'Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model', Computers in Biology and Medicine, vol. 42, no. 4, pp. 428-437.

4 5
2012

Zhang, Q, Zhang, J, Gao, J, Jianfeng, H, Yan, X, Ma, L, Zhang, X & Li, J 2012, 'A study of the single point mutation loci in the Hepatitis B Virus sequences via optimal risk and preventive sets with weights', Lecture Notes in Computer Science, vol. 7235, pp. 460-471.

2011

Li, J, Liu, J, Baig, MM & Wong, R 2011, 'Information based data anonymization for classification utility', Data and Knowledge Engineering, vol. 70, pp. 1030-1045.

11 9 3
2011

Sun, B-Y, Zhu, Z-H, Li, J & Linghu, B 2011, 'Combined feature selection and cancer prognosis using support vector machine regression', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 6, article no. 5654498, pp. 1671-1677.

24 17
2011

Sun, X, Wang, H, Li, J & Pei, J 2011, 'Publishing anonymous survey rating data', Data Mining and Knowledge Discovery, vol. 23, no. 3, pp. 379-406.

21 12 1
2011

Sun, X, Wang, H, Li, J & Zhang, Y 2011, 'Injecting Purpose and Trust into Data Anonymisation', Computers and Security, vol. 30, no. 5, pp. 332-345.

9 14 3
2011

Zhang, J, Jianfeng, H, Ma, L & Li, J 2011, 'ORPSW: A new classifier for gene expression data based on optimal risk and preventive patterns', Journal of Computers, vol. 6, no. 6, pp. 1198-1205.

Open access 1
2011

Zhang, Z, Liu, L, Li, J & Zhang, Z 2011, 'Spectral representation of protein sequences', Journal of Computational and Theoretical Nanoscience, vol. 8, no. 7, pp. 1335-1339.

7 6
2010

Liu, B, Liu, L, Tsykin, A, Goodall, G, Green, JE, Zhu, M, Kim, CH & Li, J 2010, 'Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation', Bioinformatics, vol. 26, no. 24, pp. 3105-3111.

Open access 69 67
2010

Sun, B, Li, J, Wu, dD, Zhang, X-M & Li, W-B 2010, 'Kernel discriminant learning for ordinal regression', IEEE Transactions on Knowledge and Data Engineering.

2010

Sun, B, Zhang, X-M, Li, J & Mao, X-M 2010, 'Feature Fusion Using Locally Linear Embedding for Classification', IEEE Transactions on Neural Networks and Learning Systems, vol. 21, no. 1, pp. 163-168.

Open access 52 42
2010

Zhang, F, Li, J, Hu, H & Zhou, H 2010, 'A robust ensemble classification method analysis', Advances in Experimental Medicine and Biology, vol. 680 no. , pp. 149-155.

Open access 2 2
2009

Khalil, F, Li, J & Wang, H 2009, 'An integrated model for next page access prediction', International Journal of Knowledge and Web Intelligence, vol. 1, no. 1/2, pp. 48-80.

2009

Li, J, Fu, AW & Fahey, P 2009, 'Efficient discovery of risk patterns in medical data', Artificial Intelligence in Medicine, vol. 45, no. 1, pp. 77-89.

33 23
2009

Liu, B, Li, J & Tsykin, A 2009, 'Discovery of functional miRNA-mRNA regulatory modules with computational methods', Journal of Biomedical Informatics, vol. 42, no. 4, pp. 685-691.

Open access 38 36
2009

Liu, B, Li, J, Tsykin, A, Liu, L, Guar, AB & Goodall, GJ 2009, 'Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy', BMC Bioinformatics, vol. 10, article no. 408.

Open access 53 45
2009

Wong, R, Li, J, Fu, AW & Wang, K 2009, '(alpha, k) - anonymous data publishing', Journal of Intelligent Information Systems, vol. 33, no. 2, pp. 210-234.

Open access 27 15
2008

Leng, J, Li, J & Jain, L 2008, 'A role-orientated BDI framework for real-time multiagent teaming', Intelligent Decision Technologies, vol. 2, no. 4, pp. 205-217.

2008

Li, J, Chi-Wing Wong, R, Wai-Chee Fu, A & Pei, J 2008, 'Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies', IEEE Transactions on Knowledge and Data Engineering, vol. 20, no. 9, pp. 1181-1194.

Open access 37 22
2008

Li, J, Wang, H, Jin, H & Yong, J 2008, 'Current Development of k-Anonymous Data Releasing', Electronic Journal of Health Informatics, vol. 3, no. 1, pp. 1-9.

2008

Sun, X, Wang, H, Li, J & Truta, TM 2008, 'Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing', Transactions on Data Privacy, vol. 1, no. 2, pp. 53-66.

Conferences

Year Output
2019

Ansah, J, Kwashie, S, Liu, L, Liu, J, Kang, W & Li, J 2019, 'A graph is worth a thousand words: Telling event stories using timeline summarization graphs', World Wide Web Conference, WWW 2019, ACM Digital Library, pp. 2565-2571.

Open access
2019

Chow, C, Mussared, A, Fabris, R, Do, P, Liu, J, Li, J, Saint, C, Le Clech, P, Lim, C, Pelekani, C & Zappia, L 2019, 'Online water quality monitoring and instruments: the voice of experience', OzWater'18, Australian Water Association, pp. 1-7.

Open access
2019

Islam, MZ, Liu, J, Li, J, Liu, L & Kang, W 2019, 'A semantics aware random forest for text classification', 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, ACM, pp. 1061-1070.

Open access
2019

Islam, MZ, Liu, J, Liu, L, Li, J & Kang, W 2019, 'Semantic explanations in ensemble learning', 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, Springer, pp. 29-41.

1
2019

Liu, J, Kwashie, S, Li, J, Liu, L & Bewong, M 2019, 'Linking graph entities with multiplicity and provenance', in G Cheng, K Gunaratna, and J Wang (eds), 2nd International Workshop on EntitY REtrieval: EYRE’19, Rheinisch-Westfaelische Technische Hochschule Aachen Lehrstuhl Informatik V, vol. 2446, pp. 1-7.

Open access
2019

Lu, S, Liu, L, Li, J & Le, TD 2019, 'Effective outlier detection based on Bayesian Network and Proximity', International Conference on Big Data, Big Data 2018, IEEE, article no. 8622230, pp. 134-139.

Open access
2018

Ansah, J, Kang, W, Liu, L, Liu, J & Li, J 2018, 'Information propagation trees for protest event prediction', in Phung, D et al (eds), 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Springer, pp. 777-789.

4 1
2018

Ansah, J, Kang, W, Liu, L, Liu, J & Li, J 2018, 'SensorTree: bursty propagation trees as sensors for protest event detection', in H Hacid et al. (eds), WISE: International conference on Web Information Systems Engineering, Springer, pp. 281-296.

2
2018

Carman, M, Koerber, M, Li, J, Choo, KKR & Ashman, H 2018, 'Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting', 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, IEEE, article no. 8455905, pp. 184-190.

1
2018

Le, TD, Xu, T, Liu, L, Shu, H, Hoang, T & Li, J 2018, 'ParallelPC: An R package for efficient causal exploration in genomic data', 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Springer Nature, pp. 207-218.

1
2018

Zhang, Z, Li, J, Wang, H, Liu, L & Liu, J 2018, 'Which type of classifier to use for networked data, connectivity based or feature based?', in H Hacid et al. (eds), 19th International Conference on Web Information Systems Engineering, WISE 2018, Springer, pp. 364-380.

2017

Bewong, M, Liu, J, Liu, L & Li, J 2017, 'Utility aware clustering for publishing transactional data', in J Kim et al (eds), 21st Pacific-Asia conference on knowledge discovery and data mining, Springer, pp. 481-494.

3
2017

Bewong, M, Liu, J, Liu, L, Li, J & Choo, K-KR 2017, 'A relative privacy model for effective privacy preservation in transactional data', 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, IEEE, pp. 394-401.

Open access 1 1
2017

Kang, W, Chen, J, Li, J, Liu, J, Liu, L, Osborne, G, Lothian, N, Cooper, B, Moschou, T & Neale, G 2017, 'Carbon: Forecasting civil unrest events by monitoring news and social media', 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Springer, vol. 10604 , pp. 859-865.

Open access 2 1 1
2017

Le, TD, Zhang, J, Liu, L, Thanh Truong, BM, Hu, S, Xu, T & Li, J 2017, 'Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference', 8th International Conference on Computational Systems-Biology and Bioinformatics, (CSBio 2017), ACM - Association for Computing Machinery, pp. 34-41.

1
2017

Li, J, Liu, J, Liu, L, Thuc, DL, Ma, S & Han, Y 2017, 'Discrimination detection by causal effect estimation', IEEE International Conference on Big Data (IEEE Big Data), IEEE, pp. 1087-1094.

2 1
2016

Abdel-Fatao, H, Li, J & Liu, J 2016, 'STMM: semantic and temporal-aware Markov chain model for mobility prediction', in Zhang, C (editor), Second International Conference, ICDS 2015, Springer, vol. 9208, pp 103-111.

4 4
2016

Abdel-Fatao, H, Li, J, Liu, J & Ashfaqur, R 2016, 'An effective spatio-temporal approach for predicting future semantic locations', in MA Cheema, W Zhang, & L Chang (eds), 27th Australasian Database Conference, ADC 2016, Springer, pp. 283-294.

2016

Chen, J, Kang, W, Li, J, Liu, J, Liu, L, Cooper, B, Lothian, N, Osborne, G & Moschou, T 2016, 'A temporal classification based predictive model of recurring societal events', The 14th Australasian Data Mining Conference (AusDM 2016), Australian Computer Society, pp. 1-7.

2016

Le, TD, Hoang, T, Li, J, Liu, L & Liu, H 2016, 'A fast PC algorithm for high dimensional causal discovery for multi-core PCs', 14th International Workshop on Data Mining in Bioinformatics (BIOKDD'15), IEEE, unpublished, pp. 1-10.

2015

Abdel-Fatao, H, Li, J & Liu, J 2015, 'Unifying spatial, temporal and semantic features for an effective GPS trajectory-based location recommendation', in M Sharaf, M Cheema & J Qi (eds), 26th Australasian Database Conference, ADC 2015, Springer, vol. 9093, pp. 41-53.

3 2
2015

Kwashie, S, Liu, J, Li, J & Ye, F 2015, 'Efficient discovery of differential dependencies through association rules mining', in M Sharaf & M Cheema (eds), 26th Australasian Database Conference, ADC 2015, Springer Verlag, vol. 9093, pp. 3-15.

3 1
2015

Liu, J, Li, J, Xu, S & Fung, BC 2015, 'Secure outsourced frequent pattern mining by fully homomorphic encryption', in S Madria & T Hara (eds), 17th International Conference on Big data analytics and knowledge discovery, DaWaK 2015, Springer, pp. 70-81.

13 7
2015

Nofong, VM, Liu, J & Li, J 2015, 'Efficient mining of non-derivable emerging patterns', 26th Australasian Database Conference, ADC 2015, Springer, vol. 9093, pp. 244-256.

1
2014

Ding, X, Jia, J, Li, J, Liu, J & Jin, H 2014, 'Top-k similarity matching in large graphs with attributes', in SS Bhowmick et al. (eds), DASFAA 2014: International Conference on Database Systems for Advanced Applications, Springer, pp. 156-170.

8 6
2014

Kwashie, S, Liu, J, Li, J & Ye, F 2014, 'Mining differential dependencies: a subspace clustering approach', in D Burke & M Trick (eds), 25th Australasian Database Conference (ADC 2014): Databases Theory and Applications, Springer, pp. 50-61.

7 2
2014

Liu, H-C, Vincent, M, Liu, J & Li, J 2014, 'Logics for representing data mining tasks in inductive databases', in D Burke & M Trick (eds), 25th Australasian Database Conference; ADC 2014, Springer, pp. 214-222.

2014

Masud, K, Liu, L & Li, J 2014, 'Discovering collective group relationships', in E Burke & M Trick (eds), 25th Australasian Database Conference; ADC 2014, Springer, pp. 110-121.

2 1
2014

Nofong, VM, Liu, J & Li, J 2014, 'A study on the applications of emerging sequential patterns', in D Burke & M Trick (eds), 25th Australasian Database Conference; ADC 2014, Springer, pp. 62-73.

2 1
2013

Ding, X, Yu, Q, Li, J, Liu, J & Jin, H 2013, 'Distributed anonymization for multiple data providers in a cloud system', in W Meng et al. (eds), 18th International Conference on Database Systems for Advanced Applications, DASFAA 2013, Springer, pp. 346-360.

7
2013

Jiao, H, Liu, J, Li, J & Liu, C 2013, 'A paradox for trust and reputation in the e-commerce world', ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference, ACM Digital Library, vol. 135, pp. 69-78.

2
2013

Li, J, Le, TD, Liu, L, Liu, J, Jin, Z & Sun, B 2013, 'Mining causal association rules', IEEE 13th International Conference on Data Mining Workshops 2013, IEEE Press, pp. 114-123.

18 14
2013

Xia, W, Heatherly, R, Ding, X, Li, J & Malin, B 2013, 'Efficient discovery of de-identification policy options through a risk-utility frontier', 3rd ACM Conference on Data and Application Security and Privacy, ACM - Association for Computing Machinery Inc, pp. 59-70.

Open access 7 2
2013

Zhang, Q, Zhang, J, Gao, J, He, J, Yan, X, Ma, L & Li, J 2013, 'Motif discovery and phylogenetic analysis of hepatitis B virus sequences', World Congress on Medical Physics and Biomedical Engineering, Springer, vol. 39, pp. 1268-1271.

2012

Jiao, H, Liu, J, Li, J & Liu, C 2012, 'Give rookies a chance: a trust-based institutional online supplier recommendation framework', in D Gritzalis, S Furnell & M Theoharidou (eds), 27th IFIP TC11 International Information Security Conference, Springer, pp. 400-411.

Open access 2 2
2012

Jin, Z, Li, J, Liu, L, Le, TD, Sun, B & Wang, R 2012, 'Discovery of causal rules using partial association', 2012 IEEE 12th International Conference on Data Mining, IEEE, pp. 309-318.

11 8
2012

Natarajan, K, Li, J, Liu, J & Koronios, A 2012, 'Rule storage for an efficient rule based inconsistency check', in KS Soliman (ed.), 18th International Business Information Management Association Conference 2012, IBIMA - International Business Information Management Association, pp. 2053-2068.

2011

Baig, MM, Li, J, Liu, J & Wang, H 2011, 'Cloning for privacy protection in multiple independent data publications', 20th ACM Conference on Information and Knowledge Management, Association for Computing Machinery, pp. 885-894.

13
2011

Jiao Han, Liu, J & Li, J 2011, 'Recognize trustworthy web services via institutions', in (eds), 13th International Conference on Enterprise Information Systems, ICEIS, pp. 187-189.

2011

Jiao, H, Liu, J, Li, J & Liu, C 2011, 'A framework for reputation bootstrapping based on reputation utility and game theories', IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, pp. 344-351.

Open access 10 6
2011

Jiao, H, Liu, J, Li, J & Liu, C 2011, 'Trust for web service composers', 12th Annual Global Information Technology Management Association (GITMA) World Conference, GITMA, pp. 1-14.

2011

Natarajan, K, Li, J & Koronios, A 2011, 'Use rule based to predict dirty values', 5th World Congress on Engineering Asset Management (WCEAM), Springer, pp. 693-703.

2011

Zhang, Z, Liu, L, Li, J & Zhang, Z 2011, 'Spectral representation of DNA sequences and its application', 2010 IEEE Fifth International Conference on Bio-Inspired Computing, IEEE, article no. 5645116, pp. 1023-1027.

Open access 3
2010

Liu, L, Li, Y, Liu, B & Li, J 2010, 'A simple yet effective data integration approach to tree-based microarray data classification', in Nigel Lovell, 32nd annual international conference of the IEEE engineering in medicine and biology society, IEEE, pp. 1503-1506.

Open access
2010

Sun, X, Wang, H & Li, J 2010, 'Satisfying privacy requirements: One step before anonymization', in Mohammed J Zaki, Jeffrey Xu Yu, B Ravindran & Vikram Pudi, 14th Pacific Asia Conference on Knowledge Discovery and Data Mining, Springer, vol. 1, pp. 181-188.

Open access 1
2010

Zhang, W, He, S, Li, J & Lei, S 2010, 'Constraining and summarizing optimal risk and preventive patterns in medical data', 2010 4th International Conference on Bioinformatics and Biomedical Engineering, IEEE Press.

Open access 1
2010

Zhang, Z, Li, J, Hu, H & Zhou, H 2010, 'On the effectiveness of gene selection for microarray classification methods', in , Manh Thanh Le, & Jerzy SwiatekNgoc Thanh Nguyen, Second International Conference, ACIIDS, Springer, vol. 5991, pp. 300-309.

Open access 1
2009

Baig, MM, Li, J, Liu, J & Wang, H 2009, 'Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data', in Paul J Kennedy, Kok-Leong Ong & Peter Christen, 8th Australasian Data Mining Conference (AUsDM-09), Australian Computer Society, vol. 101, pp. 159-166.

Open access 2
2009

Lock, P, Le Mercier, N, Li, J & Stumptner, M 2009, 'Building a Generic Graph-based Descriptor Set for use in Drug Discovery', in Paul J Kennedy, Kok-Leong Ong & Peter Christen, 8th Australasian Data Mining Conference (AUsDM-09), Australian Computer Society, pp. 168-174.

Open access
2009

Natarajan, K, Li, J & Koronios, A 2009, 'Data mining techniques for data cleaning', 4th World Congress on Engineering Asset Management (WCEAM), Springer-Verlag, pp. 796-804.

10
2009

Natarajan, K, Li, J & Koronios, AP 2009, 'Detecting mis-entered values in large data sets', 2009 World Congress on Engineering Asset Management (WCEAM 2009), Springer, pp. 805-812.

1
2009

Sun, X, Wang, H & Li, J 2009, 'Injecting Purpose and Trust into Data Anonymisation', in david Cheung, Il-Yeol Song, Wesley Chu, Xiahua Hu, Jimmy Lin, Jiexun Li & Zhiyon Peng, 18th ACM conference on information and knowledge management, ACM, pp. 1541-1544.

9
2009

Sun, X, Wang, H & Li, J 2009, 'Microdata Protection Through Approximate Microaggregation', in Bernard Mans, 32nd Australasian Conference on Computer Science, (ACSC09), Austrailan Computer Society, vol. 91, pp. 161-168.

Open access 1
2009

Sun, X, Wang, H, Li, J & Ross, D 2009, 'Achieving P-Sensitive k-Anonymity via Anatomy', in Jen-Yao chung, Jingzhi Guo & Shah Nazaraf, IEEE, pp. 199-205.

Open access 8 5
2009

Wang, J, Wang, K & Li, J 2009, 'Finding irredundant contained rewritings of tree pattern queries using views', in L Qing (ed.), Joint International Conference on Asia-Pacific Web Conference (APWeb) and Web age Information, Springer, vol. 5446, pp. 113-125.

4 3
2008

Bu, Y, Fu, AW, Wong, R, Chen, L & Li, J 2008, 'Privacy Preserving Serial Data Publishing By Role Composition', in Gerald Weber, VLDB Endowment, ACM, vol. 1, pp. 845-856.

50
2008

Hong, H, Li, J, Wang, H, Daggard, G & Wang, L-Z 2008, 'Robustness Analysis of Diversified Ensemble Decision Tree Algorithms for Microarray Data Classification', in Xizhao Wang and Daniel S. Yeung, IEEE, vol. 1, pp. 115-120.

Open access 2
2008

Huang, X, Yong, J, Li, J & Gao, J 2008, 'Prediction of Student Actions Using Weighted Markov Models', in Shaozi Li, Wei Pan & Jianming Yong, IEEE, pp. 154-159.

4 1
2008

Khalil, F, Li, J & Wang, H 2008, 'Integrating Recommendation Models for Improved Web Page Prediction Accuracy', in Gillian Dobbie and Bernard Mans, Australian Computer Society Inc., vol. 74, pp. 91-100.

23
2008

Leng, J, Li, J & Jain, L 2008, 'A Role-Based Framework for Multi-agent Teaming', in I. Lovrek, R.J. Howlett and L.C. Jain.

2008

Petrus, K, Li, J & Fahey, P 2008, 'Comparing Decision Tree and Optimal Risk Pattern Mining for Analysing Emergency Ultra Short Stay Unit Data', in Xizhao Wang and Daniel S. Yeung, IEEE, vol. 1, pp. 234-239.

2 2
2008

Sun, X, Wang, H & Li, J 2008, 'L-Diversity Based Dynamic Update for Large Time-Evolving Microdata', in W. Wobcke & M. Zhang, Springer, pp. 461-469.

Open access 3 2
2008

Sun, X, Wang, H & Li, J 2008, 'On the complexity of Restricted k-anonymity Problem', in Y Zhang, G Yu, E Bertino, G Xu, Springer, LNCS vol. 4976, pp. 287-296.

8 3
2008

Sun, X, Wang, H & Li, J 2008, 'Priority Driven K-Anonymisation for Privacy Protection', in John F. Roddick, Jiuyong Li, Peter Christen & Paul J. Kennedy, Seventh Australasian data mining conference, AusDM 2008, Australian Computer Society, pp. 73-78.

2
2008

Sun, X, Wang, H, Truta, TM, Li, J & Li, P 2008, '(p+,alpha)-sensitive k-anonymity: A new enhanced privacy protection model', in Qiang Wu, Xianjian He, Quang Vinh Nguyen, Wenjing Jia and Maolin Huang, IEEE, pp. 59-64.

Open access 18 8
2008

Wang, H, Yong, J, Li, J & Peng, M 2008, 'Authorization approaches for advanced permission-role assignments', in Weiming Shen, Qinghhua Zheng, Jean-Paul Narthes, Junzhou Lup, Jianming Yong, Zhenghua Duan, Feng Tian, 2th international conference on computer supported cooperative work in design, IEEE, pp. 277-282.

Open access 1 1
2008

Yong, J, Li, J & Wang, H 2008, 'Portable Devices of Security and Privacy Preservation for e-Learning', in Weiming Shen, Qinghua Zheng, Jean-Paul Barthes, Junzhou Lou, Jianming Yong Zhenghua Duan And Feng Tian, 12th international conference on computer supported cooperative work in design 2008, IEEE, vol. 1, pp. 1029-1034.

Open access 1

Other

Year Output
2008

Roddick, JF, Li, J, Christen, P & Kennedy, P 2008, Data Mining and Analytics 2008, Australia Computer Society, Australia.

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Research

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Current research & highlights

  • Data mining / Machine Learning
  • Biomedical informatics
  • Fairnee aware computing
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Collaborations

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External engagement & recognition

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Collaborations

Organisation Country
Advanced Digital Sciences Center UNITED STATES
Agency for Science Technology & Research (ASTAR) UNITED STATES
Australian Council for Educational Research Ltd AUSTRALIA
Australian National University AUSTRALIA
Carnegie Mellon University UNITED STATES
Charles Sturt University AUSTRALIA
Children's Cancer Institute Australia AUSTRALIA
Chinese Academy of Sciences CHINA
Chinese University of Hong Kong HONG KONG
City University of Hong Kong HONG KONG
CSIRO Australia (Commonwealth Scientific Industrial Research Organisation) AUSTRALIA
Dali University CHINA
Data to Decisions CRC AUSTRALIA
East China Normal University CHINA
Ecole Nationale Superieure Agronomique FRANCE
Econsearch AUSTRALIA
Edith Cowan University AUSTRALIA
First peoples hospital of Yunnan province CHINA
First people's hospital of Yunnan province CHINA
Griffith University AUSTRALIA
Guangxi Normal University CHINA
Hanson Institute AUSTRALIA
Harbin Institute of Technology CHINA
Hefei University of Technology CHINA
Hong Kong University of Science and Technology HONG KONG
Huazhong University of Science and Technology CHINA
Icahn School of Medicine at Mount Sinai UNITED STATES
Institute of Medical and Veterinary Science AUSTRALIA
InterSect Alliance International AUSTRALIA
Jiangsu University CHINA
Kanazawa University JAPAN
Kunming University of Science and Technology CHINA
Lingnan University HONG KONG
Max Planck Institute for Intelligent Systems GERMANY
Max Planck Society GERMANY
McGill University CANADA
Nanjing University CHINA
National Cancer Institute UNITED STATES
National Measurement Institute AUSTRALIA
National University of Singapore SINGAPORE
Nha Trang University VIET NAM
Northern Kentucky University UNITED STATES
Pham Ngoc Thach University of Medicine VIET NAM
RMIT University AUSTRALIA
SA Department for State Development AUSTRALIA
SA Pathology AUSTRALIA
SA Water Corporation AUSTRALIA
Second Affiliated Hospital of Kunming Medical University CHINA
Shenzhen Institute of Information Technology CHINA
Simon Fraser University CANADA
Sun Yat-Sen University CHINA
Swinburne University of Technology AUSTRALIA
Tabriz University of Medical Sciences IRAN
Tehran University of Medical Sciences IRAN
Tufts University UNITED STATES
University Libre Bruxelles BELGIUM
University of Adelaide AUSTRALIA
University of California, Berkeley UNITED STATES
University of Colorado Boulder UNITED STATES
University of Helsinki FINLAND
University of Illinois at Urbana-Champaign UNITED STATES
University of Lausanne SWITZERLAND
University of Luxembourg LUXEMBOURG
University of Michigan UNITED STATES
University of New South Wales AUSTRALIA
University of Newcastle AUSTRALIA
University of Queensland AUSTRALIA
University of Science and Technology of China CHINA
University of Science, Malaysia MALAYSIA
University of South Australia AUSTRALIA
University of Southern Queensland AUSTRALIA
University of Southern Queensland Victoria University AUSTRALIA
University of Technology Sydney AUSTRALIA
University of Texas at San Antonio UNITED STATES
University of Zanjan IRAN
University of Zurich SWITZERLAND
Vanderbilt University UNITED STATES
Victoria University AUSTRALIA
Water Corporation AUSTRALIA
Wuhan University CHINA
Xiamen University CHINA
Xian Highway University CHINA
Yunnan Open University CHINA
Yunnan University CHINA
Zayed University UNITED ARAB EMIRATES
Zhejiang Gongshang University CHINA
Zhejiang Normal University CHINA
Zhejiang University CHINA
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External engagement & recognition

Engagement/recognition Year

Member

National Committee of Artificial Intelligence, Australian Computer Society

2017

Member, Steering Committee

Australasian Data Mining Conference

2017

Program Committee member

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

2016

Program Committee member

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

2016

Program Committee member

SIAM International Conference on Data Mining (SDM)

2016

Senior Program Committee member

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2016

Area chair

IEEE International Conference on Data Mining (ICDM)

2015

Program Committee member

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

2015

Program Committee member

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

2015

Program Committee member

SIAM International Conference on Data Mining (SDM)

2015

Senior Program Committee member

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2015

Area chair

IEEE International Conference on Data Mining (ICDM)

2014

Program Committee member

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

2014

Program Committee member

SIAM International Conference on Data Mining (SDM)

2014

Senior Program Committee member

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2014

Senior Program Committee member and Workshop Co-chair

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2013

Australia-India Senior Visiting Fellowship

Australian Academy of Science

2012

Program Committee Co Chair

Australasian Data Mining Conference

2012

Program Committee member

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

2012

Program Committee member

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

2012

Program Committee member

SIAM International Conference on Data Mining (SDM)

2012

Senior Program Committee member

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2012

Workshop Co-chair, Causal Discovery

IEEE International Conference on Data Mining (ICDM)

2012

Program Committee Co Chair

Australasian Data Mining Conference

2011

Program Committee member

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

2011

Program Committee Chair

Australasian Joint Conference in Artificial Intelligence

2010

Program Committee member

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

2010

Program Committee member

SIAM International Conference on Data Mining (SDM)

2010
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Courses and programs

Courses I teach and/or co-ordinate

  • COMP 4008 Data and Web Mining (2020)
  • COMP 4008 Data and Web Mining (2019)
  • COMP 4008 Data and Web Mining (2018)
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Teaching & student supervision

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Research degree supervision

Supervisions from 2010 shown

Thesis title Student status
Causal inference methods for identification of subtypes of cancer based on multi-levelled biological data Current
Causality based approach to adversarial machine learning Current
Causality based approach to outlier detection Current
Develop efficient data mining methods for evidence based decision making Current
Developing causal inference methods for personalised medicine in cancer research Current
Developing computational methods for detecting signals of adverse drug events from healthcare data Current
Developing effective algorithms for estimating causal effects in hig-dimesional observational data Current
Improving robustness of classification under dynamic environments with causal models Current
Individual fairness in machine learning Current
Model fusion for civil unrest event predictions Current
New authorship attribution methods to detect and manage social manipulation and fake news in social media Current
Outlier detection in time series data Current
Predicting Protein Subcellular Location by Fusing Multi-Source Information Current
A comparison of machine learning algorithms applied to quantitative structure-activity relationship studies in drug discovery Completed
A data mining approach to analyse the influence of student features on their academic outcomes Completed
Computational causal discovery from observational data and application in bioinformatics Completed
Constructing a rule-based classifier system for data inconsistency checking Completed
Developing data mining methods for detecting signals of adverse drug events Completed
Developing data mining methods for finding causal relationships involving multiple factors Completed
Developing data mining methods to reveal collective group relationships Completed
Development of data anonymity techniques for multiple independent data publishing Completed
Digital forensic data reduction and quick analysis for evidence and intelligence Completed
Discovering functional miRNA-mRNA regulatory modules in data Completed
Discovering interesting emerging and decaying patterns and their applications Completed
Distance-based dependencies: discovery and extension Completed
Extracting insights from social media to predict, detect and summarize civil unrest Completed
GPS trajectory-based models for effective semantic locations prediction and recommendation Completed
Inferring miRNA-mRNA regulatory relationships using causal inference methods Completed
Information quality management in accounting information system adoption Completed
Privacy preserving publication of transactional data Completed
Probabilistic models for privacy preserving data publishing Completed
Trust recognition in the online reputation-based multi-agent environment Completed
Weakening the faithfulness assumption in causal discovery Completed
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About me

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Professor Jiuyong Li  (李久永)
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