Associate Professor Jixue (Jerry) Liu

Associate Professor UniSA STEM

Mawson Lakes Campus (D2-31)
tel +61 8 830 23054

email Jixue.Liu@unisa.edu.au

Research Degree Supervisor

About me

Dr Jixue Liu's research and teaching areas are mainly in database and data mining areas. His research topics are in text and sequence data analytics, data integration and entity resolution, dependency theory and discovery, privacy, XML, etc. He teaches database and data mining courses. He taught programming, Web development, and XML courses.

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

Research

Research focus

Artificial Intelligence and Image Processing
Information Systems
Data Format
Information and Computing Sciences
Computation Theory and Mathematics

Highlights

Publications http://sites.google.com/site/jixueliu/publications

Major Projects

* 2020-2022 ARC DP200101210 Fairness aware data mining for discrimination-free decision-making. Chief investigator.

* 2020-2023 ARC IC190100017 ARC Training Centre for Integrated Operations for Complex Resources. Chief investigator.

* 2016-2018 D2D CRC Project Lead: Entity Linking and Resolution.

* 2016-2018 D2D CRC Project Investigator: Beating the News.

* ARC Discovery Grant 2008-2010: XML views of relational databases: semantics and update problems

* 2005-2007 Australia Research Council (ARC) Discovery Project: Constraint in XML data Integration

* 2006 Australia Research Council (ARC) Discovery Project: Normalizing XML documents.

...

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.

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, 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
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 8
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
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.

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 6 3 1
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 4
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	Lartey, C, Liu, J, Asamoah, RK, Greet, C, Zanin, M & Skinner, W 2024, 'Effective Outlier Detection for Ensuring Data Quality in Flotation Data Modelling Using Machine Learning (ML) Algorithms', Minerals, vol. 14, no. 9, pp. 1-28. 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 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 1 127
2024	Peters, S, Liu, J, Keppel, G, Wendleder, A & Xu, P 2024, 'Detecting coseismic landslides in GEE using machine learning algorithms on combined optical and radar imagery', Remote Sensing, vol. 16, no. 10, article no. 1722, pp. 1-29. Open access 4 3
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	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 2
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 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 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 14 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 6 6
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 9 5
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.
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 8 6 1
2022	Chow, CW, Liu, J, Li, J, Swain, N & Saint, CP 2022, 'A data visualisation tool for treatment process monitoring in web browsers', Water Conservation Science and Engineering, vol. 7, no. 4, pp. 363-373. Open access 1 1
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 33 21 2
2022	Shi, Z, Chow, CW, Fabris, R, Liu, J & Jin, B 2022, 'Applications of online UV‐Vis spectrophotometer for drinking water quality monitoring and process control: a review', Sensors, vol. 22, no. 8, article no. 2987, pp. 1-21. Open access 49 42 10
2022	Shi, Z, Chow, CW, Fabris, R, Liu, J, Sawade, E & Jin, B 2022, 'Determination of coagulant dosages for process control using online UV-vis spectra of raw water', Journal of Water Process Engineering, vol. 45, article no. 102526. 23 21
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 30 24 1
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	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 2 2 1
2021	Shi, Z, Chow, CW, Fabris, R, Zheng, T, Liu, J & Jin, B 2021, 'Evaluation of the impact of suspended particles on the UV absorbance at 254 nm (UV₂₅₄) measurements using a submersible UV-Vis spectrophotometer', Environmental Science and Pollution Research, vol. 28, no. 10, pp. 12576-12586. 9 3
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. 30 31 74
2020	Nirola, R, Saint, C, Hehir, J & Liu, J 2020, 'Merchantable wood volume response of P. radiata D. Don post thinned plots on coated and uncoated urea fertilizers', Banko Janakari: A Journal of Forestry Information for Nepal, vol. 30, no. 2, pp. 36-47. Open access
2020	Shi, Z, Chow, CW, Fabris, R, Liu, J & Jin, B 2020, 'Alternative particle compensation techniques for online water quality monitoring using UV-Vis spectrophotometer', Chemometrics and Intelligent Laboratory Systems, vol. 204, article no. 104074, pp. 1-9. 27 27
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	Ding, X, Ou, Y, Jia, J, Jin, H & Liu, J 2019, 'Efficient subgraph search on large anonymized graphs', Concurrency and Computation: Practice and Experience, vol. 31, no. 23, article no. e4511, pp. 1-14. 1
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 27 20
2019	Liu, HC & Liu, J 2019, 'On the expressive power of logics on constraint databases with complex objects', Journal of Computer Science and Technology, vol. 34, no. 4, pp. 795-817.
2019	Yang, Q, Beecham, S, Liu, J & Pezzaniti, D 2019, 'The influence of rainfall intensity and duration on sediment pathways and subsequent clogging in permeable pavements', Journal of Environmental Management, vol. 246, pp. 730-736. Open access 27 25
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	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
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 45 33 1
2017	Pokharel, S, Choo, K-KR & Liu, J 2017, 'Can Android VoIP voice conversations be decoded? I can eavesdrop on your Android VoIP communication', Concurrency and Computation: Practice and Experience, vol.29 no. 7, article no. e3845 pp.1-13,. 4 3 1
2017	Pokharel, S, Choo, K-KR & Liu, J 2017, 'Mobile cloud security: an adversary model for lightweight browser security', Computer Standards and Interfaces, vol. 49, pp. 71-78. 13 11
2017	Wang, J, Yu, JX, Liu, J & Pang, C 2017, 'A revised result on chasing tree patterns under schema graphs', Information Processing Letters, vol. 119, pp. 19-24. Open access
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	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 6
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
2015	Vincent, M, Liu, J, Liu, H-C & Link, S 2015, ''Differential dependencies: reasoning and discovery' revisited', ACM Transactions on Database Systems, vol. 40, no. 2, article no. 14, pp. 1-18. Open access 3 3 1
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, Y, Ye, F, Liu, J & He, S 2014, 'Mining approximate keys based on reasoning from XML data', Applied Mathematics and Information Sciences, vol. 8, no. 4, pp. 2005-2016. Open access
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, 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 67 54 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. 128 98 3
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	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 21 10
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 122 74
2012	Liu, J, Liu, C, Haerder, T & Yu, J 2012, 'Updating typical XML views', Lecture Notes in Computer Science, vol. 7238, pp. 126-140. Open access 2
2012	Vincent, M, Liu, J & Mohania, M 2012, 'The implication problem for 'closest node' functional dependencies in complete XML documents', Journal of Computer and System Sciences, vol. 78, no. 4, pp. 1045-1098. Open access 7 5
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
2009	Liu, J & Shahriar, MS 2009, 'Preserving key in XML data transformation', Acta Informatica, vol. 46, no. 7, pp. 475-507.
2009	Shahriar, MS & Liu, J 2009, 'On Transiting Key in XML Data Transformation for Integration', International Journal of Security and Its Applications, vol. 3, no. 1, pp. 101-116.
2009	Shahriar, MS & Liu, J 2009, 'Towards a Definition of Referential Integrity Constraints for XML', International Journal of Software Engineering and Its Applications, vol. 3, no. 1, pp. 69-82.

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	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 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 2
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 5 5 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. 1
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 5
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 1
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 2 2
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	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 5
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 11 6 31
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	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. 3
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 61
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	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
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	Stumptner, M, Mayer, W, Grossmann, G, Liu, J, Li, W, Casanovas, P, De Koker, L, Mendelson, D, Watts, D & Bainbridge, B 2018, 'An architecture for establishing legal semantic workflows in the context of integrated law enforcement', in U Pagallo et al. (eds), Third Workshop on Legal Knowledge and the Semantic Web (LK&SW-2016), Springer, pp. 124-139. 5
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	Ding, X, Ou, Y, Jia, J, Jin, H & Liu, J 2017, 'Efficient subgraph search on large anonymized graphs', International Conference on Green Informatics, ICGI 2017, IEEE, article no. 8117109, pp. 1-6. 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	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. 8 8
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	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	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. 39 29
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	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	Shahriar, MS & Liu, J 2011, 'On mining association rules with semantic constraints in XML', 2011 Sixth International Conference on Digital Information Management (ICDIM), IEEE - The Institute of Electrical and Electronic Engineering, pp. 1-5. Open access 6
2011	Shahriar, MS & Liu, J 2011, 'Semantic constraint-based XML updating', International Conference on Bio-Science and Bio-Technology, & International Conference on Database Theory and Application, Springer, pp. 100-109.
2011	Zhou, R, Liu, C, Li, J, Wang, J & Liu, J 2011, 'Evaluating contained rewritings for XPath queries on materialized views', in JX Yu, MH Kim & R Unland (eds), 16th International Conference on Database Systems for Advanced Applications, Springer, pp. 481-495. 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	Liu, J & Shahriar, MS 2009, 'Preserving referential integrity constraints in XML data transformation', in Dominik Slezak, Tai-hoon Kim, Yanchun Zhang, Jianhua Ma & Kyo il, Database Theory and Application International Conference (DTA 2009), Springer, pp. 57-65.
2009	Liu, J & Shahriar, MS 2009, 'Transformation of Data with Constraints for Integration: An Information System Approach', in Dominik Slezak, Tai-hoon Kim, Yanchun Zhang, Jianhua Ma & Kyo il, Database Theory and Application International Conference (DTA 2009), Springer, pp. 74-81.
2009	Shahriar, MS & Liu, J 2009, 'Checking Satisfactions of XML Referential Integrity Constraints', in Jiming Liu, Jinglong Wu, Yiyu Yao & Toyoaki Nishida, 5th International Conference on Active Media Technology (AMT 2009), Springer, pp. 148-159. 2 1
2009	Shahriar, MS & Liu, J 2009, 'Evolving Constraints in XML Data Transformation', in Janis Grundspenkis, Marite Kirikova, yannis manolopoulos, Tadeusz Morzy, Leonids Novickis & Gottfrie Vossen, 13th East-European Conference, ADBIS 2009, Riga Technical University, pp. 275-282.
2009	Shahriar, MS & Liu, J 2009, 'On defining functional dependency for XML', in IEEE, IEEE, pp. 595-600. Open access 9 4
2009	Shahriar, MS & Liu, J 2009, 'On the performances of checking XML key and functional dependency satisfactions', in Janis Grundspenkis, Marite Kirikova, yannis manolopoulos, Tadeusz Morzy, Leonids Novickis & Gottfrie Vossen, Springer, vol. 5871, pp. 1254-1271. 3 1
2009	Shahriar, MS & Liu, J 2009, 'Towards the Utilization of Constraints in XML Data Integration', in Paolo Bouquet, International Conference for Digital Libraries and the Semantic Web 2009, Universtiy of Trento, pp. 117-131. Open access
2008	Liu, C, Vincent, M, Pan, W, Tian, J & Liu, J 2008, 'Performance Analysis and Improvement for Transformation Operators in XML Data Integration', in Hannu Jaakkola, Springer-Verlag, LNCS vol. 4976, pp. 214-226. 4 2
2008	Liu, J & Shahriar, MS 2008, 'On Defining Referential Integrity for XML', in Tai-hoon Kim, Jon Hyuk Park & David Taniar, International symposium on computer science and its applications (CSA '08), IEEE, pp. 286-291. Open access 3 2
2008	Pan, W, Hawryszkiewycz, I & Liu, J 2008, 'A Method for Describing Knowledge Work Processes', in M. Boufaida & F. Kordon, IEEE, pp. 46-52. 7 3
2008	Shahriar, MS & Liu, J 2008, 'On Defining Keys for XML', in Xiangjian He, Qiang Wu, Quang Vinh Nguyen & Wenjing Jia, IEEE 8th International Conference on Computer and Information Technology Workshops, IEEE, pp. 86-91. Open access 7 2
2008	Shahriar, MS & Liu, J 2008, 'Preserving Functional Dependency in XML Data Transformation', in Hannu Jaakkola, Springer-Verlag, LNCS vol. 5207, pp. 262-278. 7 6
2008	Shahriar, MS & Liu, J 2008, 'Towards the Preservation of Keys in XML Data Transformation for Integration', in Sarda N.L. Gautam Das & P. Krishna Reddy, COMAD 2008 : 14th International conference on management data, Computer Society of India, pp. 116-126.
2008	Shahriar, MS & Liu, J 2008, 'Transition of Keys in XML Data Transformation', in Tai-hoon Kim, Jon Hyuk Park & David Taniar, IEEE, pp. 175-180. Open access 1
2008	Tian, J, Pan, W & Liu, J 2008, 'An Implementation of XML Data Integration', in Jose Cordeiro & Joaquim Filipe, INSTICC, vol. DISI, pp. 111-116. 3 1
2008	Wang, G, Yang, C, Liu, C, Liu, J, LI, J & Yu, J 2008, 'Computing Structural Similarity of Source XML Schemas against Domain XML Schema', in Alan Fekete & Xuemin Lin, ADC '08 Proceedings of the nineteenth conference on Australasian database, Australian Computer Society, vol. 75 , pp. 155-164. 2

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
2018	Peters, S, Bruce, D & Jixue, L 2018, Forest yield predictions from multi-temporal LiDAR, University of South Australia, Australia. Open access

External engagement & recognition

Collaborations

External engagement & recognition

Collaborations

Organisation	Country
Advanced Digital Sciences Center	SINGAPORE
Charles Sturt University	AUSTRALIA
Chinese Academy of Sciences	CHINA
Consilium Technology	AUSTRALIA
CSIRO Australia (Commonwealth Scientific Industrial Research organisation)	AUSTRALIA
CSIRO Data61	AUSTRALIA
Curtin University	AUSTRALIA
Data to Decisions CRC	AUSTRALIA
Deakin University	AUSTRALIA
Defence Science and Technology Group	AUSTRALIA
Geoscience Australia	AUSTRALIA
German Aerospace Center	GERMANY
Green Triangle Forest Industries Hub	AUSTRALIA
Griffith University	AUSTRALIA
Guangxi University of Finance and Economics	CHINA
Heifei University of Technology	CHINA
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
IBM Australia	AUSTRALIA
InterSect Alliance International	AUSTRALIA
Jiangsu University	CHINA
Jiangsu University of Technology	CHINA
Kaiserslautern University of Technology	GERMANY
Kanazawa University	JAPAN
Kyoto University	JAPAN
La Trobe University	AUSTRALIA
Magotteaux Australia Pty Ltd	AUSTRALIA
Maxima Training Group (Aust) Ltd.	AUSTRALIA
National Measurement Institute	AUSTRALIA
SA Water	AUSTRALIA
SA Water Corporation	AUSTRALIA
Simon Fraser University	CANADA
Swinburne University of Technology	AUSTRALIA
Tasmanian ICT Centre	AUSTRALIA
The Chinese University of Hong Kong (CUHK)	CHINA
University of Adelaide	AUSTRALIA
University of Auckland	NEW ZEALAND
University of Helsinki	FINLAND
University of Illinois at Urbana-Champaign	UNITED STATES
University of Luxembourg	LUXEMBOURG
University of Melbourne	AUSTRALIA
University of New South Wales	AUSTRALIA
University of Science and Technology of China	CHINA
University of South Australia	AUSTRALIA
University of Southern Queensland	AUSTRALIA
University of Technology Sydney	AUSTRALIA
Vanderbilt University	UNITED STATES
Victoria University	AUSTRALIA
Water Corporation	AUSTRALIA
Xian Highway University	CHINA
Xi'an University	CHINA
Zhejiang Normal University	CHINA
Zhejiang University	CHINA

Teaching & student supervision

Highlights

Data Modeling and Database Design; Data Mining,Java Programming; Network programming in Java ,XML technologies and semantic web ,ASP.net, JSP, Web2py based website development

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
Causal machine learning & analytical models in mineral extraction processes	Current
Develop causal outcome prediction models for trustworthy interpretation	Current
Develop causality-based models for robust and adaptive drought predictions	Current
Individual and intersectional group fairness in machine learning models	Current
Innovative approaches to smoke detection in satellite imagery	Current
Integration and analytics of pulp chemistry sensor information with in-stream analysis for flotation plant optimisation	Current
Transformer-based causal inference methods for temporal data with latent confounders	Current
An information governance driven framework for integrating operational and information technology in the engineering asset management context	Completed
Causal inference with deep generative models	Completed
Data governance in internet of things	Completed
Developing data mining methods for detecting signals of adverse drug events	Completed
Development of data anonymity techniques for multiple independent data publishing	Completed
Discovering interesting emerging and decaying patterns and their applications	Completed
Distance-based dependencies: discovery and extension	Completed
Event and temporal constraint management in dynamic business environments	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
Improving adversarial robustness of machine learning models	Completed
Intervention recommendation for disability employment service	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
Preserving constraints in XML data transformation	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

Associate Professor Jixue (Jerry) Liu

About me

About me

UniSA STEM

About me

Professional Associations

Experience

Qualifications

Research

Research focus

Highlights

Projects

Outputs

Chapters

Journal Articles

Conferences

Reports

Current research & highlights

External engagement & recognition

Collaborations

Collaborations

Teaching & student supervision

Highlights

Courses and programs

Courses I teach

Research degree supervision

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