Professor Jiuyong Li (李久永)

Professor of Computer Science UniSA STEM

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

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://4llab.net/sw.html

More informaiton about the Data... 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://4llab.net/sw.html

More informaiton about the Data Analytics Group: http://4llab.net/index.html

Major research grants (selected)

ARC Discovery grant (2023 - 2025, DP230101122), Lin Liu, Jiuyong Li, Jixue Liu and Thuc Le, Build competency aware and assuring machine learning systems.
SmartSat CRC project (2022 - 2023), Stefan Peters, Jiuyong Li, Jixue Liu and Kai Qin. Energy-efficient on-board AI for early fire smoke detection.
iMove CRC project (2021 - 2023), Akshay Marian Vij, Marin Romeo and Jiuyong Li. Big data for strategic transport planning.
ARC Discovery grant (2021 - 2023, 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)

Member of the Australian Computer Society National Committee for Artificial Intelligence, 2011 - 2021.
Member of the Steering committee, Australasian Data Mining Conference (AusDM), since 2007.
Member the AI4Space Steering Committee of SmartSAt CRC, since 2020.
Associate Editor, International Journal of Data Science and Analytics, since 2018.
Co-guest editor ACM Transactions on Intelligent Systems and Technology special issue on Advances of Causal Discovery and Inference, 2018.
Co-guest editor ACM Transactions on Intelligent Systems and Technology special issue on Causal Discovery and Inference, 2015.
Co-guest editor Springer Journal of Data Science and Analytics special issue on Causal Discovery, 2016, 2017.
Co-chair ACM KDD Workshop on Causal Discovery (CD), 2016, 2017, 2019, 2021.
Co-chair, The 7th IEEE International Conference on Smart Data, 2021.
Co-chair Australasian Joint Conference on Artificial Intelligence, 2019.
Co-chair, ICDM workshop: International Workshop on Social Computing (IWSC’18): Spatial Social Behavior Analytics in Urban Society, 2018.
Co-chair International Workshop on Machine Learning for Sensory Data Analysis (MLSDA), 2014, 2016.
PC co-chair, IFIP International Conference on Intelligent Information Processing, 2018.
Area chair, Conference on Uncertainty in Artificial Intelligence UAI 2022, 2023.
Area chair, IEEE International Conference on Data Mining, 2014, 2015, 2021.
Area Chair, International Joint Conference on Artificial Intelligence (IJCAI), 2021.
Area chair, The 11th IEEE International Conference on Knowledge Graph, 2021.
Area Chair, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021.
Area Chair, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
Senior PC, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021, 2022.
Senior PC AAAI Conference on Artificial Intelligence (AAAI) 2019, 2022.
Senior PC International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2020, 2022.
Senior PC Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021. 2022, 2023.
Senior PC ACM Conference on Information and Knowledge Management (CIKM), 2019.

Research

Research focus

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

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 - 04/04/2024
SmartSat P2-38: Energy-efficient on-board AI for early fire-smoke detection, SmartSat CRC, 01/03/2022 - 30/10/2023
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
Efficient causal discovery from observational data, ARC - Discovery Projects, 19/06/2014 - 31/12/2017
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
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

Research

Outputs

Research outputs for the last seven years are shown below. Some long-standing staff members may have older outputs included. 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 43 31 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 31 30 4
2016	Li, J, Le, TD, Liu, L, Liu, J, Jin, Z, Sun, B & Ma, S 2016, 'From observational studies to causal rule mining', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 2, article no. 14. Open access 34 14 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. Open access 66 53 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 68 66

Books

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

Chapters

Year	Output
2024	Park, JY, Liu, L, Liu, J & Li, J 2024, 'Causal disentanglement for adversarial defense', in T Liu et al. (eds), Australasian Joint Conference on Artificial Intelligence AI 2023: AI 2023: Advances in Artificial Intelligence, Springer, Singapore, ch. 25, pp. 315-327.
2023	Xu, T, Zhang, Y, Li, J, Liu, L, Xu, Z, Cheng, D & Feng, Z 2023, 'A data-driven approach to finding K for K nearest neighbor matching in average causal effect estimation', in F Zhang et al. (eds), Web Information Systems Engineering –WISE 202324th International Conference Melbourne, VIC, Australia, October 25–27, 2023 Proceedings, Springer, Singapore, ch. 55, pp. 723-732.
2023	Xu, Z, Liu, J, Cheng, D, Li, J, Liu, L & Wang, K 2023, 'Disentangled representation with causal constraints for counterfactual fairness', in H Kashima, T Ide & W Peng (eds), Pacific-Asia Conference on Knowledge Discovery and Data Mining: PAKDD 2023: Advances in Knowledge Discovery and Data Mining, Springer, Switzerland, pp. 471-482. Open access 1
2022	Tran, HX, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2022, 'Recommending personalized interventions to increase employability of disabled jobseekers', in J Gama et al. (eds), Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III, Springer, Switzerland, pp. 92-104. Open access 3 2
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. Open access 5 7
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 16
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. 2
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.
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
2024	Cheng, D, Li, J, Liu, L, Liu, J & Le, TD 2024, 'Data-driven causal effect estimation based on graphical causal modelling: a survey', ACM Computing Surveys, vol. 56, no. 5, article no. 127, pp. 1-37. Open access 3
2024	Cheng, D, Li, J, Liu, L, Yu, K, Le, TD & Liu, J 2024, 'Discovering ancestral instrumental variables for causal inference from observational data', IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 8, pp. 11542-11552. Open access 5 3
2024	Deho, OB, Liu, L, Li, J, Liu, J, Zhan, C & Joksimovic, S 2024, 'When the past != the future: assessing the impact of dataset drift on the fairness of learning analytics models', IEEE Transactions on Learning Technologies, vol. 17, pp. 1007-1020.
2024	Guo, X, Yu, K, Liu, L, Cao, F & Li, J 2024, 'Causal feature selection with dual correction', IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 938-951. 8 6
2024	Guo, X, Yu, K, Liu, L, Li, J, Liang, J, Cao, F & Wu, X 2024, 'Progressive skeleton learning for effective local-to-global causal structure learning', IEEE Transactions on Knowledge and Data Engineering, online, pp. 1-14. Open access
2024	Liu, J, Li, J, Liu, L, Le, T, Ye, F & Li, G 2024, 'Fairmod: making predictions fair in multiple protected attributes', Knowledge and Information Systems, vol. 66, no. 3, pp. 1861-1884. Open access 1
2024	Liu, J, Li, J, Peters, S & Zhao, L 2024, 'Transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery', Remote Sensing Applications: Society and Environment, vol. 36, article no. 101283, pp. 1-12.
2024	Lu, S, Jones, E, Zhao, L, Sun, Y, Qin, K, Liu, J, Li, J, Abeysekara, P, Mueller, N, Oliver, S, O'Hehir, J & Peters, S 2024, 'Onboard AI for fire smoke detection using hyperspectral imagery: an emulation for the upcoming Kanyini Hyperscout-2 mission', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9629-9640. Open access 1
2024	Shi, Z, Chow, CW, Gao, J, Xing, K, Liu, J & Li, J 2024, 'Using surrogate parameters to enhance monitoring of community wastewater management system performance for sustainable operations', Sensors, vol. 24, no. 6, pp. 1-17. Open access
2024	Ye, W, Li, C, Zhang, W, Li, J, Liu, L, Cheng, D & Feng, Z 2024, 'Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventions', Methods, vol. 231, pp. 15-25.
2024	Yu, K, Ling, Z, Liu, L, Li, P, Wang, H & Li, J 2024, 'Feature selection for efficient local-to-global Bayesian network structure learning', ACM Transactions on Knowledge Discovery from Data, vol. 18, no. 2, pp. 1-27. Open access 1
2024	Zhang, Z, Yao, J, Liu, L, Li, J, Li, L & Wu, X 2024, 'Partial label feature selection: an adaptive approach', IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 8, pp. 4178-4191. 1
2024	Zhao, L, Liu, J, Peters, S, Li, J, Mueller, N & Oliver, S 2024, 'Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns', International Journal of Remote Sensing, vol. 45, no. 10, pp. 3332-3348. Open access
2024	Zhao, L, Liu, J, Peters, S, Li, J, Mueller, N & Oliver, S 2024, 'Learning class-specific spectral patterns to improve deep learning-based scene-level fire smoke detection from multi-spectral satellite imagery', Remote Sensing Applications: Society and Environment, vol. 34, article no. 101152, pp. 1-13. Open access 6
2023	Bewong, M, Wondoh, J, Kwashie, S, Liu, J, Liu, L, Li, J, Islam, MZ & Kernot, D 2023, 'DATM: A novel data agnostic topic modelling technique with improved effectiveness for both short and long text', IEEE Access, vol. 11, pp. 1-11. Open access 1
2023	Cheng, D, Li, J, Liu, L, Yu, K, Le, TD & Liu, J 2023, 'Toward unique and unbiased causal effect estimation from data with hidden variables', IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 9, pp. 6108-6120. 10 15 1
2023	Cheng, D, Li, J, Liu, L, Zhang, J, Liu , J & Le, TD 2023, 'Local search for efficient causal effect estimation', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 8823-8837. Open access 5
2023	Deho, OB, Joksimovic, S, Li, J, Zhan, C, Liu, J & Liu, L 2023, 'Should learning analytics models include sensitive attributes? Explaining the why', IEEE Transactions on Learning Technologies, vol. 16, no. 4, pp. 560-572. Open access 6
2023	Guo, X, Yu, K, Liu, L, Li, P & Li, J 2023, 'Adaptive Skeleton construction for accurate DAG Learning', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 10, pp. 10526-10539. Open access 8
2023	Li, J, Liu, L, Zhang, S, Ma, S, Le, TD & Liu, J 2023, 'Causal heterogeneity discovery by bottom-up pattern search for personalised decision making', Applied Intelligence, vol. 53, no. 7, pp. 8180-8194. Open access 2
2023	Liu, J, Li, J & Liu, L 2023, 'FastOPM-a practical method for partial match of time series', Pattern Recognition, vol. 130, article no. 108808, pp. 1-12. Open access 1
2023	Tran, HX, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2023, 'Personalized interventions to increase the employment success of people with disability', IEEE Transactions on Big Data, vol. 9, no. 6, pp. 1561-1574.
2023	Yang, S, Yu, K, Cao, F, Liu, L, Wang, H & Li, J 2023, 'Learning causal representations for robust domain adaptation', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 2750-2764. Open access 21 16 1
2023	Yu, K, Cai, M, Wu, X, Liu, L & Li, J 2023, 'Multilabel feature selection: a local causal structure learning approach', IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 6, pp. 3044-3057. Open access 17 17 1
2023	Zhang, Z, Liu, L, Li, J & Wu, X 2023, 'Integrating global and local feature selection for multi-label learning', ACM Transactions on Knowledge Discovery from Data, vol. 17, no. 1, article no. 4, pp. 1-37. Open access 5 1
2023	Zhang, Z, Zhang, Z, Yao, J, Liu, L, Li, J, Wu, G & Wu, X 2023, 'Multi-label feature selection via adaptive label correlation estimation', ACM Transactions on Knowledge Discovery from Data, vol. 17, no. 9, pp. 1-28. Open access 6
2022	Cheng, D, Li, J, Liu, L, Le, TD, Liu, J & Yu, K 2022, 'Sufficient dimension reduction for average causal effect estimation', Data Mining and Knowledge Discovery, vol. 36, no. 3, pp. 1174-1196. Open access 7 5 1
2022	Cifuentes Bernal, AM, Pham, VVH, Li, X, Liu, L, Li, J & Le, TD 2022, 'Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories', Briefings in Functional Genomics, vol. 21, no. 6, pp. 455-465. Open access 1 1 2
2022	Deho, OB, Zhan, C, Li, J, Liu, J, Liu, L & Le, TD 2022, 'How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?', British Journal of Educational Technology, vol. 53, no. 4, pp. 822-843. Open access 31 18 2
2022	Li, X, Liu, L, Whitehead, C, Li, J, Thierry, B, Le, TD & Winter, M 2022, 'Identifying preeclampsia-associated genes using a control theory method', Briefings in Functional Genomics, vol. 21, no. 4, pp. 296-309. Open access 4 4
2022	Ling, Z, Yu, K, Liu, L, Li, J, Zhang, Y & Wu, X 2022, 'PSL: An algorithm for partial Bayesian network structure learning', ACM Transactions on Knowledge Discovery from Data, vol.16, no. 5, article no. 93, pp. 1-25. Open access 3 3
2022	Ling, Z, Yu, K, Zhang, Y, Liu, L & Li, J 2022, 'Causal learner: a toolbox for causal structure and Markov blanket learning', Pattern Recognition Letters, vol. 163, pp. 92-95. Open access 14 13
2022	Zhang, J, Liu, L, Xu, T, Zhang, W, Li, J, Rao, N & Le, TD 2022, 'Time to infer miRNA sponge modules', Wiley interdisciplinary reviews. RNA, vol. 13, no. 2, pp. 1-21. Open access 14 14 2
2022	Zhang, J, Liu, L, Zhang, W, Li, X, Zhao, C, Li, S, Li, J & Le, TD 2022, 'miRspongeR 2.0: an enhanced R package for exploring miRNA sponge regulation', Bioinformatics Advances, vol. 2, no. 1, article no. vbac063, pp. 1-3. Open access 1 1
2022	Zhang, W, Li, J & Liu, L 2022, 'A unified survey of treatment effect heterogeneity modelling and uplift modelling', ACM Computing Surveys, vol. 54, no. 8, article no. 162, pp. 1-36. Open access 30 26
2022	Zhao, L, Liu, J, Peters, S, Li, J, Oliver, S & Mueller, N 2022, 'Investigating the impact of using IR bands on early fire smoke detection from Landsat Imagery with a lightweight CNN model', Remote Sensing, vol. 14, no. 13, article no. 3047. Open access 29 23 1
2021	Cifuentes-Bernal, AM, Pham, VV, Li, X, Liu, L, Li, J & Le, TD 2021, 'A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes', Bioinformatics, vol. 37, no. 6, pp. 807-814. Open access 3 2 9
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. 6 6 3
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 5 5 2
2021	Peters, S, Liu, J, Bruce, D, Li, J, Finn, A & O'Hehir, J 2021, 'Research note: cost-efficient estimates of Pinus radiata wood volumes using multitemporal LiDAR data', Australian Forestry, vol. 84, no. 4, pp. 206-214. Open access 1 1 1
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. 1-4. Open access 1 2 9
2021	Pham, VV, Liu, L, Bracken, CP, Nguyen, T, Goodall, GJ, Li, J & Le, TD 2021, 'pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers', Bioinformatics, vol. 37, no. 9, pp. 3285-3292. Open access 11 11 2
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 17 14 1
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 52 48
2021	Zhang, J, Liu, L, Xu, T, Zhang, W, Zhao, C, Li, S, Li, J, Rao, N & Le, TD 2021, 'Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data', BMC Bioinformatics, vol.22, no. 1, article no. 578, pp. 1-19. Open access 9 9 11
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, vol. 18, no. 12, pp. 2308-2320. Open access 6 5
2020	Ansah, J, Liu, L, Kang, W, Liu, J & Li, J 2020, 'Leveraging burst in Twitter network communities for event detection', World Wide Web, vol. 23, no. 12, pp. 2851-2876. Open access 14 10 3
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. 29 30 75
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 14 13 12
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. S2, pp. i583-i591. Open access 6 7 1
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 21 17 31
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. Open access 111 94 1
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 20 16
2020	Yu, K, Liu, L, Li, J, Ding, W & Le, TD 2020, 'Multi-source causal feature selection', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, pp.2240-2256. Open access 82 73
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. Open access 9 7 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. Open access 10 9 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. Open access 17 18 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. Open access 10 8
2019	Bewong, M, Liu, J, Liu, L, Li, J & Choo, K-KR 2019, '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 6 6
2019	Brown, P, Zhou, Y, Li, J, Lim, R, You, Y, Li, Y, Le, TD, Cao, Z & Duijf, PH 2 explicit authors and 1 consortia; internal authors (nos.3, 4, 5, 6, 7, 9) are listed as part of the RELISH Consortium 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 21 17 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 170 165 101
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 36 28
2019	Kwashie, S, Liu, J, Li, 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 25 19
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 75 66 7
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. 1 1
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. Open access 1 2
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 22 21 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 19 19 5
2019	Zhang, J, Le, TD, Liu, L & Li, J 2019, 'Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer', Briefings in Bioinformatics, vol. 20, no. 4, pp. 1403-1419. Open access 34 32 1
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 30 26 4
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 11 12
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 26 22
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. Open access 147 96
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 5 4 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. Open access 24 19 2
2018	Liu, H, Li, X, Li, J & Zhang, S 2018, '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. 59 44
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 13 13
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 1
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 39 35 4
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 14 13 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 50 45 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. Open access 27 23
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. Open access 9 8 2
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. 58 54 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 5 4 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 5 4
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 9 8
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. Open access 74 66 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 4
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 43 31 1
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. 17 16
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 31 30 4
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 167 166 16
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 18 16 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 23 20 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. Open access 13 12 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 76 70 9
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 29 18 3
2016	Li, J, Le, TD, Liu, L, Liu, J, Jin, Z, Sun, B & Ma, S 2016, 'From observational studies to causal rule mining', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 2, article no. 14. Open access 34 14 1
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 16 12
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 25 20 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 15 19 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 62 49 8
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. 9 10 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. 8 9 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 37 31 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 26 21 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 24 19 8
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 19 17 8
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. 16 15
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 445 451 5
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 25 17
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. 6 5
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. Open access 66 53 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. 127 95 3
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 19 17 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 25 24
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. 9 8
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 37 38
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 68 66
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 20 9
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. 6 6
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. 32 24
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. 11
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 119 72
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 12 11
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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. 8 8
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. 36 28
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. 35 27
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. 41 32
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2010	Li, J, Liu, B, Green, JE, Zhu, M, Kim, CH, Tsykin, A, Goodall, G & Liu, L 2010, 'Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation', Bioinformatics, vol. 26, no. 24, pp. 3105-3111. Open access 85 83
2010	Li, J, Sun, B, Zhang, X-M & 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 71 61
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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 4 3
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, Fahey, P & Fu, AW 2009, 'Efficient discovery of risk patterns in medical data', Artificial Intelligence in Medicine, vol. 45, no. 1, pp. 77-89. 42 30
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Conferences

Year	Output
2024	Cheng, D, Xu, Z, Li, J, Liu, L, Liu, J & Le, TD 2024, 'Conditional instrumental variable regression with representation learning for causal inference', 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), pp. 1-17. Open access
2024	Guo, X, Yu, K, Liu, L & Li, J 2024, 'FedCSL: a scalable and accurate approach to federated causal structure learning', in M Wooldridge, J Dy & S Natarajan (eds), Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI Press, vol. 38, no. 11, pp. 12235-12243. 2
2024	Xu, Z, Cheng, D, Li, J, Liu, J, Liu, L & Yu, K 2024, 'Causal inference with conditional front-door adjustment and identifiable variational autoencoder', 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), pp. 1-22. Open access 1
2023	Chen, X, Li, J, Liu, J, Peters, S, Liu, L, Le, TD & Walsh, A 2023, 'Improve interpretability of information bottlenecks for attribution with layer-wise relevance propagation', in J He et al. (eds), 2023 IEEE International Conference on Big Data (BigData), IEEE, pp. 1064-1069.
2023	Cheng, D, Xie, Y, Xu, Z, Li, J, Liu, L, Liu, J, Zhang, Y & Feng, Z 2023, 'Disentangled latent representation learning for tackling the confounding M-bias problem in causal inference', 23rd IEEE International Conference on Data Mining, ICDM 2023, IEEE, pp. 51-60. Open access 1
2023	Cheng, D, Xu, Z, Li, J, Liu, L, Le, TD & Liu, J 2023, 'Learning conditional instrumental variable representation for causal effect estimation', in D Koutra et al. (eds), European Conference, ECML PKDD 2023, Springer, pp. 525-540. Open access 1
2023	Cheng, D, Xu, Z, Li, J, Liu, L, Liu, J & Le, DT 2023, 'Causal inference with conditional instruments using deep generative models', 37th AAAI Conference on Artificial Intelligence, AAAI 2023, Association for the Advancement of Artificial Intelligence, vol. 37, pp. 7122-7130. Open access 4
2023	Deho, OB, Joksimovic, S, Liu, L, Li, J, Zhan, C & Liu, J 2023, 'Assessing the fairness of course success prediction models in the face of (un)equal demographic group distribution', 10th ACM Conference on Learning @ Scale, L@S 2023, Association for Computing Machinery, pp. 48-58. Open access 2 8
2023	Tran, HX, Le, TD, Li, J, Liu, L, Li, X, Liu, J & Waters, T 2023, 'Stabilising job survival analysis for disability employment services in unseen environments', 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, pp. 4970-4980.
2023	Xu, Z, Cheng, D, Li, J, Liu, J, Liu, L & Wang, K 2023, 'Disentangled representation for causal mediation analysis', 37th AAAI Conference on Artificial Intelligence, AAAI 2023, Association for the Advancement of Artificial Intelligence, vol. 37, pp. 10666-10674. Open access 1
2022	Cheng, D, Li, J, Liu, L, Zhang, J, Le, TD & Liu, J 2022, 'Ancestral instrument method for causal inference without complete knowledge', in Luc De Raedt (ed.), Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 4843-4849. Open access
2022	Deho, BO, Liu, L, Joksimovic, S, Li, J, Zhan, C & Liu, J 2022, 'Assessing the causal impact of online instruction due to COVID-19 on students' grades and its aftermath on grade prediction models', 2022 ACM Conference on Information Technology for Social Good, Association for Computing Machinery, pp. 32-38. Open access
2022	Park, JY, Liu, L, Liu, J & Li, J 2022, 'Randomize adversarial defense in a light way', IEEE International Conference on Big Data, Big Data 2022, IEEE, pp. 1080-1089. Open access 1
2022	Tran, HX, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2022, 'What is the most effective intervention to increase job retention for this disabled worker?', the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM - Association for Computing Machinery Inc, pp. 3981-3991. Open access 4
2022	Xu, Z, Xu, Z, Liu, J, Cheng, D, Li, J, Liu, L & Wang, K 2022, 'Assessing classifier fairness with collider bias', Springer, pp. 262-276. Open access 1 1
2022	Xuan Tran, H, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2022, 'Decision support for disability employment using counterfactual survival analysis', IEEE International Conference on Big Data, Big Data 2022, IEEE, pp. 2103-2112. Open access
2021	Le, TD, Li, J, Cooper, G, Triantafdyllou, S, Bareinboim, E, Liu, H & Kiyavash, N 2021, 'Preface: the 2021 ACM SIGKDD workshop on causal discovery', Workshop on Causal Discovery, CD 2021, in conjunction with the 2021 International Conference on Knowledge Discovery and Data Mining, KDD 2021, ML Research Press, vol. 150, pp. 1-2. Open access
2021	Le, TD, Li, J, Cooper, G, Triantafyllou, S, Bareinboim, E, Liu, H & Kiyavash, N 2021, 'The KDD 2021 workshop on causal discovery (CD2021)', ACM, pp. 4141-4142. Open access
2021	Lu, S, Liu, L, Li, J, Le, TD & Liu, J 2021, 'Divide and conquer: targeted adversary detection using proximity and dependency', in Z Gong, X Li, SG Oguducu, L Chen, BF Manjon, X Wu (eds), 12th IEEE International Conference on Big Knowledge, IEEE, pp. 125-132.
2021	Park, J-Y, Liu, L, Li, J & Liu, J 2021, 'Training neural networks with random noise images for adversarial robustness', CIKM '21, Association for Computing Machinery, pp. 3358-3362. Open access
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. Open access 5 4
2021	Tran, HX, Le, TD, Li, J, Liu, L, Liu, J, Zhao, Y & Waters, T 2021, 'Recommending the most effective intervention to improve employment for job seekers with disability', The 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21), Association for Computing Machinery, pp. 3616-3626. Open access 10 6 31
2021	Zhang, W, Liu, L & Li, J 2021, 'Treatment effect estimation with disentangled latent factors', Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Association for the Advancement of Artificial Intelligence, pp. 10923-10930. Open access
2020	Cheng, D, Li, J, Liu, L, Liu, J, Yu, K & Le, TD 2020, 'Causal query in observational data with hidden variables', in G De Giacomo et al. (eds), 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, IOS Press, pp. 2551-2558. Open access 8
2020	Islam, MZ, Liu, J, Li, J, Liu, L & Kang, W 2020, 'Evidence weighted tree ensembles for text classification', 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, ACM, pp. 1737-1740. 1
2020	Le, TD, Liu, L, Zhang, K, Kıcıman, E, Cui, P & Hyvarinen, A 2020, 'Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery', ACM SIGKDD workshop on Causal Discovery, CD 2020, ML Research Press, vol. 127, pp. 1-3. 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. Open access
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. 2
2020	Zhang, W, Liu, L & Li, J 2020, 'Robust multi-instance learning with stable instances', in G De Giacomo et al. (eds), 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, IOS Press, pp. 1682-1689. Open access 9
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 27
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 58
2019	Islam, MZ, Liu, J, Liu, L, Li, J & Kang, W 2019, 'Semantic explanations in ensemble learning', in Q Yang et al. (eds), 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, Springer, pp. 29-41. 3
2019	Le, TD, Li, J, Zhang, K, Kıcıman, E, Cui, P & Hyvärinen, A 2019, 'Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery', ACM SIGKDD Workshop on Causal Discovery, CD 2019, ML Research Press, vol. 104, pp. 1-3. Open access
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 4 3
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. 9
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. 6
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. Open access 18 9 179
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. 8
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. 7
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 6 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', in G Cong et al. (eds), 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Springer, pp. 859-865. Open access 10 7 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. Open access 10 7
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. 7 7
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. 7 4
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. 11 8
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. 19 13
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. 13 10
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 2
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. 4 2
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. 10
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. 38 29
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 9
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. 26 21
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. 16
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 13 9
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 5
2010	Li, J, Hu, H, Zhou, H & Zhang, Z 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 2
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 4
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
2009	Baig, MM, Liu, J, Wang, H & Li, J 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	Li, J, Wang, H & Sun, X 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. 16
2009	Li, J, Wang, H, Sun, X & Ross, D 2009, 'Achieving P-Sensitive k-Anonymity via Anatomy', in Jen-Yao chung, Jingzhi Guo & Shah Nazaraf, IEEE, pp. 199-205. Open access 14 7
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. 17
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, '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 3
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	Chen, L, Fu, AW, Bu, Y, Li, J & Wong, R 2008, 'Privacy Preserving Serial Data Publishing By Role Composition', in Gerald Weber, VLDB Endowment, ACM, vol. 1, pp. 845-856. 67
2008	Fahey, P, Li, J & Petrus, K 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	Li, J, Leng, J & Jain, L 2008, 'A Role-Based Framework for Multi-agent Teaming', in I. Lovrek, R.J. Howlett and L.C. Jain.
2008	Li, J, Sun, X & Wang, H 2008, 'L-Diversity Based Dynamic Update for Large Time-Evolving Microdata', in W. Wobcke & M. Zhang, Springer, pp. 461-469. Open access 6 2
2008	Li, J, Wang, H & Khalil, F 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. 26
2008	Li, J, Wang, H & Sun, X 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. 12 3
2008	Li, J, Wang, H & Sun, X 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. 3
2008	Li, J, Yong, J, Gao, J & Huang, X 2008, 'Prediction of Student Actions Using Weighted Markov Models', in Shaozi Li, Wei Pan & Jianming Yong, IEEE, pp. 154-159. 5 1
2008	Li, J, Yong, J, Wang, H & 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 2 1
2008	Wang, H, Hong, H, Daggard, G, Li, J & 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 6
2008	Wang, H, Li, J, Truta, TM, Sun, X & 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 34 15
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

Reports

Year	Output
2023	Peters, S, Lu, S, Jones, E, Liu, J, Li, J, OHehir, J, Qin, K, Sun, Y, Mueller, N & Oliver, S 2023, Energy efficient onboard AI for early fire-smoke detection, SmartSat CRC, Australia. Open access

Other

Year	Output
2008	Roddick, JF, Li, J, Kennedy, P & Christen, 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
Anhui University	CHINA
Arizona State University	UNITED STATES
Australian Council for Educational Research (ACER)	AUSTRALIA
Australian National University	AUSTRALIA
Carnegie Mellon University	UNITED STATES
Charles Sturt University	AUSTRALIA
Childrens Cancer Institute	AUSTRALIA
Children's Cancer Institute Australia	AUSTRALIA
Chinese Academy of Sciences	CHINA
City University of Hong Kong (CityU)	HONG KONG
Columbia University	UNITED STATES
Consilium Technology	AUSTRALIA
Cornell University	UNITED STATES
CSIRO Australia (Commonwealth Scientific Industrial Research organisation)	AUSTRALIA
CSIRO Data61	AUSTRALIA
Curtin University	AUSTRALIA
Dali University	CHINA
Data to Decisions CRC	AUSTRALIA
Deakin University	AUSTRALIA
Defence Science and Technology Group	AUSTRALIA
Duke University	UNITED STATES
East China Normal University	CHINA
Ecole Nationale Superieure Agronomique	FRANCE
Ecole Polytechnique Federale de Lausanne	ITALY
Econsearch	AUSTRALIA
Edith Cowan University	AUSTRALIA
First peoples hospital of Yunnan province	CHINA
First people's hospital of Yunnan province	CHINA
Flinders University	AUSTRALIA
Geoscience Australia	AUSTRALIA
Green Triangle Forest Industries Hub	AUSTRALIA
Griffith University	AUSTRALIA
Guangxi Normal University	CHINA
Guangxi University of Finance and Economics	CHINA
Hanson Institute	AUSTRALIA
Harbin Institute of Technology	CHINA
Heifei University of Technology	CHINA
Helsingin Yliopisto	FINLAND
Hong Kong Baptist University	HONG KONG
Hong Kong University of Science and Technology	HONG KONG
Huazhong Agricultural University	CHINA
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
Ministry of Education	CHINA
Ministry of Education of the People's Republic of China	CHINA
Nagoya University	JAPAN
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	AUSTRALIA
Second Affiliated Hospital of Kunming Medical University	CHINA
Shanxi University	CHINA
Shenzhen Institute of Information Technology	CHINA
Shiga University	JAPAN
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
The Chinese University of Hong Kong (CUHK)	CHINA
Tsinghua University	CHINA
Tufts University	UNITED STATES
University Libre Bruxelles	BELGIUM
University of Adelaide	AUSTRALIA
University of British Columbia	CANADA
University of California	UNITED STATES
University of Colorado Denver	UNITED STATES
University of Crete	GREECE
University of Electronic Science and Technology of China	CHINA
University of Florida	UNITED STATES
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 Melbourne	AUSTRALIA
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 Pittsburgh	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 Tasmania	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 SIAM International Conference on Data Mining (SDM)	2016
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
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 SIAM International Conference on Data Mining (SDM)	2015
Program Committee member European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)	2015
Program Committee member ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)	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 SIAM International Conference on Data Mining (SDM)	2014
Program Committee member European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)	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 SIAM International Conference on Data Mining (SDM)	2012
Program Committee member European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)	2012
Program Committee member ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)	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 SIAM International Conference on Data Mining (SDM)	2010
Program Committee member ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)	2010

Teaching & student supervision

Research degree supervision

Supervisions from 2010 shown

Thesis title	Student status
110459 - Advancing machine learning for human-machine partnership in decision making	Current
Computational methods for finding causal biomarkers and treatments for COVID-19	Current
Develop causal outcome prediction models for trustworthy interpretation	Current
Develop causality-based models for robust and adaptive drought predictions	Current
Developing causal-based methods for recommending the repurposed drugs for a disease and applications in breast cancer and SARS-CoV-2	Current
Developing Effective Algorithms for Estimating Causal Effects in Observational Network Data	Current
Heterogeneous Causal Effect of Price Promotion on Consumer Purchase Behaviour	Current
Individual and intersectional group fairness in machine learning models	Current
Innovative approaches to smoke detection in satellite imagery	Current
New authorship attribution methods to detect and manage social manipulation and fake news in social media	Current
Subgroup analysis through multiple testing in casual treatment effects	Current
Transformer-based causal inference methods for temporal data with latent confounders	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
Causal inference with deep generative models	Completed
Computational causal discovery from observational data and application in bioinformatics	Completed
Computational modelling for breast cancer prognosis in precision medicine	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
Dynamic causal inference methods for modelling biological processes in cancer	Completed
Extracting insights from social media to predict, detect and summarize civil unrest	Completed
Framing fake news: An analysis on its rhetorical strategies, `newsness¿ and how it creates social meaning	Completed
GPS trajectory-based models for effective semantic locations prediction and recommendation	Completed
Improving adversarial robustness of machine learning models	Completed
Inferring miRNA-mRNA regulatory relationships using causal inference methods	Completed
Information quality management in accounting information system adoption	Completed
Intervention recommendation for disability employment service	Completed
Investigating social media users' collaborative information seeking behaviours during group trip planning and the execution of travelling	Completed
Investigating the fairness of predictive learning analytics models in static and dynamic environments	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
Towards efficient and unbiased causal effect estimation from observational data	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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