Professor Jiuyong Li (李久永)

Professor of Computer Science UniSA STEM

Mawson Lakes Campus (D3-07)
tel +61 8 830 23898
fax +61 8 830 23381

email Jiuyong.Li@unisa.edu.au

Research Degree Supervisor

About me

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

Jiuyong Li is a Professor of Computer Science at STEM of the University of South Australia (UniSA). He is the Director of the Data Analytics Group. His research interests are in data mining, applied machine learning and their applications in bio and health informatics and for social good, such as privacy and fairness. His research work has been supported by seven Australian Research Council Discovery grants and many industry funds. He is a member of the National Committee of Artificial Intelligence of Australian Computer Society.

My paper lists: Google Scholar and DBLP (Computer Science)

Software tools: http://nugget.unisa.edu.au/jiuyong/

Major research... Read more

UniSA STEM

Harnessing connections across science, technology, engineering and mathematics, UniSA STEM creates innovative solutions and groundbreaking developments across teaching, learning and research.

Tweets by @UniversitySA

About me

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

My paper lists: Google Scholar and DBLP (Computer Science)

Software tools: http://nugget.unisa.edu.au/jiuyong/

Major research grants (selected)

ARC Discovery grant (2020 - 2022, DP200101210), Jiuyong Li, Jixue Liu and Ke Wang, Fairness aware data mining methods for discrimination free decision-making.
ARC Discovery grant (2017 - 2019, DP170101306), Jiuyong Li, Lin Liu, Peng Cui, 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.

Research

Research themes

Transforming industries
Healthy futures
Transforming societies

Research focus

Information and Computing Sciences
Artificial Intelligence and Image Processing
Biological Sciences
Data Format
Information Systems

Highlights

Data mining / Machine Learning
Biomedical informatics
Fairnee aware computing

Research

Projects

Excludes commercial-in-confidence projects.

SmartSat 3-07s: Satellite image-based smoke detection for bush fire detection - Liang Zhao, SmartSat CRC, 05/10/2020 - 04/10/2023
Develop efficient data mining methods for evidence based decision making, ARC - Discovery Projects, 29/06/2017 - 28/06/2021
D2D CRC Limited Scholarship, D2D CRC Limited, 16/10/2017 - 17/10/2020
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, SA Dept 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, SA Dept for Innovation and Skills, 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

Research

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 19 9 2
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 12 10 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 23 5 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. 27 19 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 55 50 4

Books

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

Chapters

Year	Output
2020	Zhang, J, Nguyen, T, Truong, B, Liu, L, Li, J & Le, TD 2020, 'Computational methods for predicting autism spectrum disorder from gene expression data', ADMA 2020: Advanced Data Mining and Applications, Springer, Singapore, pp. 395-409.
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. 2 3
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. 6
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. 2

Journal Articles

Year	Output
2021	Li, J, Zhang, W, Liu, L, Yu, K, Le, TD & Liu, J 2021, 'A general framework for causal classification', International Journal of Data Science and Analytics, vol. 11, no. 2, pp. 127-139.
2021	Li, X, Truong, B, Xu, T, Liu, L, Li, J & Le, TD 2021, 'Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis', BMC Bioinformatics, vol. 300, pp. 1-22. Open access
2021	Pham, VV, Li, X, Truong, B, Nguyen, T, Liu, L, Li, J & Le, TD 2021, 'The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge', Briefings in Bioinformatics, vol. 22, no. 3, pp. 1-5.
2021	Pham, VVH, Liu, L, Bracken, C, Goodall, G, Li, J & Le, TD 2021, 'Computational methods for cancer driver discovery: a survey', Theranostics, vol. 11, no. 11, pp. 5553-5568. Open access
2021	Yu, K, Liu, L & Li, J 2021, 'A unified view of causal and non-causal feature selection', ACM Transactions on Knowledge Discovery from Data, vol. 15, no. 4, article no. 3436891, pp. 1-46. Open access 1
2021	Zhang, J, Liu, L, Xu, T, Zhang, W, Zhao, C, Li, S, Li, J, Rao, N & Le, TD 2021, 'miRSM: an R package to infer and analyse miRNA sponge modules in heterogeneous data', RNA Biology, online, pp. 1-13.
2020	Ansah, J, Liu, L, Kang, W, Liu, J & Li, J 2020, 'Leveraging burst in twitter network communities for event detection', World Wide Web, online, pp. 1-26. 4
2020	Cifuentes-Bernal, AM, Pham, VV, Li, X, Liu, L, Li, J & Le, TD 2020, 'A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes', Bioinformatics, online, pp. 1-8. 8
2020	Li, J, Liu, L, Le, TD & Liu, J 2020, 'Accurate data-driven prediction does not mean high reproducibility', Nature Machine Intelligence, vol. 2, pp. 13-15. 1 87
2020	Li, X, Liu, L, Goodall, GJ, Schreiber, A, Xu, T, Li, J & Le, TD 2020, 'A novel single-cell based method for breast cancer prognosis', PLoS Computational Biology, vol. 16, no. 8, article no. e1008133, pp. 1-20. Open access 1 11
2020	Pham, VV, Liu, L, Bracken, CP, Goodall, GJ, Li, J & Le, TD 2020, 'DriverGroup: a novel method for identifying driver gene groups', Bioinformatics, vol. 36, no. 2, pp. i583-i591.
2020	Truong, B, Zhou, X, Shin, J, Li, J, van der Werf, JH, Le, TD & Lee, SH 2020, 'Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives', Nature Communications, vol. 11, article no. 3074, pp. 1-11. Open access 3 1 33
2020	Yu, K, Guo, X, Liu, L, Li, J, Wang, H, Ling, Z & Wu, X 2020, 'Causality-based feature selection: methods and evaluations', ACM Computing Surveys, vol. 53, no. 5, article no. 111, pp. 1-36. 3
2020	Yu, K, Liu, L & Li, J 2020, 'Learning Markov blankets from multiple interventional data sets', IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 6, pp. 2005-2019. Open access 1
2020	Zhan, C, Roughead, E, Liu, L, Pratt, N & Li, J 2020, 'Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data', Journal of Biomedical Informatics, vol. 112, article no. 103603, pp. 1-13. 1
2020	Zhan, C, Roughead, E, Liu, L, Pratt, N & Li, J 2020, 'Detecting potential signals of adverse drug events from prescription data', Artificial Intelligence in Medicine, vol. 104, article no. 101839, pp. 1-14. 1 2
2020	Zhang, J, Xu, T, Liu, L, Zhang, W, Zhao, C, Li, S, Li, J, Rao, N & Le, TD 2020, 'LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer', PLoS Computational Biology, vol. 16, no. 4, article no. e1007851, pp. 1-22. Open access 2 3
2019	Bewong, M, Liu, J, Liu, L & Li, J 2019, 'Privacy preserving serial publication of transactional data', Information Systems, vol. 82, pp. 53-70. 4 2
2019	Brown, P, Zhou, Y, Li, J, Lim, R, You, Y, Li, Y & Le, TD and 1 consortia 2019, 'Large expert-curated database for benchmarking document similarity detection in biomedical literature search', Database : The Journal of Biological Databases and Curation, article no. baz085, pp. 1-66. Open access 1 4 28
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 41 39 110
2019	Helal, S, Li, J, Liu, L, Ebrahimie, E, Dawson, S & Murray, DJ 2019, 'Identifying key factors of student academic performance by subgroup discovery', International Journal of Data Science and Analytics, vol. 7, no. 3, pp. 227-245. Open access 11
2019	Kwashie, S, Li, J, 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 10 4
2019	Le, TD, Hoang, T, Li, J, Liu, L, Liu, H & Hu, S 2019, '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. 1483-1495. Open access 20 15 3
2019	Li, J, Zhang, K, Emre Kiciman, & Cui, P 2019, 'Introduction to the special section on advances in causal discovery and inference', ACM Transactions on Intelligent Systems and Technology, vol. 10, no. 5, pp. 1-3.
2019	MA, S, Liu, L, LI, J & LE, TD 2019, 'Data-driven discovery of causal interactions', International Journal of Data Science and Analytics, vol. 8, pp. 285-297.
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, Liu, L, Bracken, CP, Goodall, GJ, Long, Q, Li, J & Le, TD 2019, 'CBNA: A control theory based method for identifying coding and non-coding cancer drivers', PLoS Computational Biology, vol. 15, no. 12, article no. e1007538, pp. 1-12. Open access 3 5
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 6 5 5
2019	Yu, K, Liu, L, Li, J, Ding, W & Le, TD 2019, 'Multi-source causal feature selection', IEEE Transactions on Pattern Analysis and Machine Intelligence, online. 15 10
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 11 10 3
2019	Zhang, J, Pham, VVH, Liu, L, Xu, T, Truong, B, Li, J, Rao, N & Le, TD 2019, 'Identifying miRNA synergism using multiple-intervention causal inference', BMC Bioinformatics, vol. 20, article no. 613, pp. 1-11. Open access 3 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, vol. 31, no. 23, article no. e4923, pp. 1-13. Open access 2 1
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. Open access 9 6
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. 43 27
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. 157-171. Open access 2 2 1
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. 9 8 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. Open access 8 7
2018	Liu, L, Li, J, Zhang, K, Kıcıman, E & Kiyavash, N 2018, 'Guest editorial: special issue on causal discovery 2017', International Journal of Data Science and Analytics, vol. 6, no. 1, pp. 1-2. Open access
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 13 12 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 6 4 1
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 21 11 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. 12 8
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. 3 3 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. 12 10 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. 32 23 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 1
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. Open access 2 1
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 4 3
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. 49 43 2
2017	Li, J & Zhang, K 2017, 'Guest Editorial: Special Issue on Causal Discovery 2017', International Journal of Data Science and Analytics, vol. 3, no. 2, pp. 79-80.
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 19 9 2
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. 24 13
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. 5 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 12 10 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 59 49 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 13 10 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 20 16 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. 10 9 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 39 36 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 18 11
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 11 7
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 20 15 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 11 9 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 40 24 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. 8 7 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. 6 6 1
2015	Le, TD, Liu, L, Zhang, J, Liu, B & Li, J 2015, 'From miRNA regulation to miRNA-TF co-regulation: computational approached and challenges', Briefings in Bioinformatics, vol. 16, no. 9, pp. 475-496. Open access 24 17 2
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 24 18 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 18 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 23 5 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 11 11 9
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. 10 8
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 216 216 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 14 8
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. 5 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. 27 19 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. 63 44
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 15 9 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 20 18
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 35 35 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 55 50 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. 27 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. 8
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. Open access 86 54 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. 1
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 8 9
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. Open access 36 25
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. 5 6
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. 19 14
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. 28 21
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. 24 17
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 18
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 78 75
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 59 49
2010	Zhang, F, Li, J, Hu, H & Zhou, H 2010, 'A robust ensemble classification method analysis', Advances in Experimental Medicine and Biology, vol. 680, 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. 34 24
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 42 39
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 61 49
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 34 19
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	Leng, J, Li, J & Jain, L 2008, 'A role-oriented BDI framework for real-time multiagent teaming', Intelligent Decision Technologies, vol. 2, no. 4, pp. 205-217. 1
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 39 23
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
2021	Tran, HX, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2021, 'Intervention recommendation for improving disability employment', 8th IEEE International Conference on Big Data, Big Data 2020, IEEE, pp. 1671-1680.
2020	Cheng, D, Li, J, Liu, L, Liu, J, Yu, K & Le, TD 2020, 'Causal query in observational data with hidden variables', 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, IOS Press, vol. 325, pp. 2551-2558. Open access
2020	Liu, J, Li, J, Ye, F, Liu, L, Le, T, Xiong, P & Liu, H-c 2020, 'Building fair predictive models', in M Gallagher, N Moustafa & E Lakshika (eds), 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, Springer Nature, pp. 216-229.
2020	Lu, S, Liu, L, Li, J, Le, TD & Liu, J 2020, 'LoPAD: A local prediction approach to anomaly detection', 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Springer, vol. 12085, pp. 660-673.
2020	Zhang, W, Liu, L & Li, J 2020, 'Robust multi-instance learning with stable instances', 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, IOS Press, vol 325, pp. 1682-1689. Open access
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 3
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 10
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. 2
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 2 1
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. 6
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. 3
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. 4 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. 2
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. Open access
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. 5
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 4 2
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 3 2 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. 2
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. 4 2
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. 5 5
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. 93-99.
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. 5 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. 6 3
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. 15 10
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. 12 8
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. 8 4
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. 3 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. 8
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. 28 18
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 8 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. 17 10
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. 14
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 7
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 4
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 1
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, F, 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, article no. 5514758, pp. 1-4. 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. 11
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 12 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. 59
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 5
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. 5 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. 25
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 5 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 25 10
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.

External engagement & recognition

Collaborations

External engagement & recognition

Collaborations

Organisation	Country
Advanced Digital Sciences Center	SINGAPORE
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
Deakin University	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
Heifei 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
Jiangsu University of Technology	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
Maxima Training Group (Aust) Ltd.	AUSTRALIA
McGill University	CANADA
Microsoft Research	UNITED KINGDOM
Nanjing University	CHINA
National Cancer Institute	UNITED STATES
National Measurement Institute	AUSTRALIA
National University of Singapore	SINGAPORE
Nha Trang University	VIET NAM
Norris Cotton Cancer Center	UNITED STATES
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
Tsinghua University	CHINA
Tufts University	UNITED STATES
University Libre Bruxelles	BELGIUM
University of Adelaide	AUSTRALIA
University of British Columbia	CANADA
University of California, Berkeley	UNITED STATES
University of Colorado	UNITED STATES
University of Electronic Science and Technology of China	CHINA
University of Helsinki	FINLAND
University of Illinois at Urbana-Champaign	UNITED STATES
University of Lausanne	SWITZERLAND
University of Luxembourg	LUXEMBOURG
University of Massachusetts Boston	UNITED STATES
University of Michigan	UNITED STATES
University of New England	AUSTRALIA
University of New South Wales	AUSTRALIA
University of Newcastle	AUSTRALIA
University of Pennsylvania	UNITED STATES
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

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

Teaching & student supervision

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
Deep learning-based causal effects mining for personalized treatment	Current
Develop fair and unbased machine learning algorithms for decision making	Current
Developing robust machine learning methods against adversarial attacks	Current
Group and individual fairness in machine learning	Current
Improving robustness of classification under dynamic environments with causal models	Current
Individual fairness in machine learning	Current
Intervention recommendation for improvement in disability employment	Current
Investigating transfer learning methods to improve the transferability of yield prediction models in agriculture industry	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
Towards efficient and unbiased causal effect estimation from observational data	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
Dependency-based anomaly detection and applications	Completed
Developing computational methods for detecting signals of adverse drug events from healthcare data	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
Developing network inference methods for cancer driver discovery	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
Investigating social media users' collaborative information seeking behaviours during group trip planning and the execution of travelling	Completed
Leveraging prediction semantics in ensemble methods for text classification	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

Professor Jiuyong Li (李久永)

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Australia-India Senior Visiting Fellowship

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Workshop Co-chair, Causal Discovery

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Teaching & student supervision

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Research degree supervision

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