Professor Lin Liu's research interest is in the fields of machine learning and data mining, with the focus on developing robust machine learning/data mining algorithms by utilising causal relationships discovered from big data. Her resesarch is supported by the Australian Research Council (ARC) and the Cooperative Research Centre (CRC) program, as well as industry research funding. Lin also works closely with experts in other areas (e.g. cancer biology, marketing and eduction) to develop and apply data mining/machine learning and causal inference methods to solve real world problems.
Lin has been supervising PhD students in data mining, machine learning and bioinformatics. She also supervised PhD... Read more
About me
Professor Lin Liu's research interest is in the fields of machine learning and data mining, with the focus on developing robust machine learning/data mining algorithms by utilising causal relationships discovered from big data. Her resesarch is supported by the Australian Research Council (ARC) and the Cooperative Research Centre (CRC) program, as well as industry research funding. Lin also works closely with experts in other areas (e.g. cancer biology, marketing and eduction) to develop and apply data mining/machine learning and causal inference methods to solve real world problems.
Lin has been supervising PhD students in data mining, machine learning and bioinformatics. She also supervised PhD students in network security analysis in the past.
Since joining UniSA in 2002, Lin has taught a broad range of courses in computer science, including computer networking, databases, artificial intelligence, programming, software engineering and business processing modelling courses. Currently she is teaching a postgraduate data science course.
About me
Doctor of Philosophy (Information Engineering) University of South Australia
Master of Engineering Science in Automatic Control Xidian University
Bachelor of Engineering Science in Automatic Control Xidian University
Research
Excludes commercial-in-confidence projects.
ARC ITTC in Cognitive Computing for Medical Technologies, ARC - Industrial Transformation Training Centres, 13/12/2017 - 31/12/2024
Develop efficient data mining methods for evidence based decision making, ARC - Discovery Projects, 29/06/2017 - 28/06/2021
Int Policing: Entity Linking & Resolution, D2D CRC Limited, 01/01/2016 - 31/12/2019
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
Developing novel data mining methods to reveal complex group relationships from heterogeneous data, ARC - Discovery Projects, 14/03/2013 - 24/11/2016
Build competency aware and assuring machine learning systems, ARC - Discovery Project, 2023-2025
Research
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 or Scopus
Open access indicates that an output is open access.
Year | Output |
---|---|
2021 |
Open access
|
2020 |
Open access
66
49
|
2017 |
Open access
25
21
4
|
2013 |
Open access
66
62
4
|
2010 |
Open access
85
82
|
Year | Output |
---|---|
2015 |
Li, J, Liu, L & Le, TD 2015, Practical approaches to causal relationship exploration, Springer, US. |
Year | Output |
---|---|
2023 |
1
|
2023 |
|
2023 |
|
2022 |
Open access
3
|
2020 |
|
2019 |
|
2014 |
Open access
15
|
2013 |
1
|
Year | Output |
---|---|
2023 |
Open access
|
2023 |
Open access
|
2023 |
7
5
1
|
2023 |
Open access
2
|
2023 |
Open access
3
|
2023 |
Open access
3
|
2023 |
Open access
2
|
2023 |
1
|
2023 |
|
2023 |
|
2023 |
Open access
11
1
1
|
2023 |
Open access
7
4
1
|
2023 |
Open access
|
2023 |
Open access
2
|
2023 |
Open access
1
|
2022 |
Open access
4
1
1
|
2022 |
Open access
2
|
2022 |
Open access
14
4
2
|
2022 |
4
1
|
2022 |
Open access
1
|
2022 |
Open access
|
2022 |
8
3
|
2022 |
Open access
12
13
|
2022 |
Open access
13
7
2
|
2022 |
Open access
1
1
|
2022 |
Open access
16
13
|
2021 |
Open access
3
2
9
|
2021 |
5
4
|
2021 |
Open access
4
3
2
|
2021 |
Open access
1
2
9
|
2021 |
Open access
3
1
2
|
2021 |
Open access
14
9
1
|
2021 |
Open access
36
26
|
2021 |
Open access
5
4
11
|
2021 |
Open access
4
1
|
2020 |
Open access
11
6
3
|
2020 |
25
20
76
|
2020 |
Open access
11
11
12
|
2020 |
Open access
3
3
1
|
2020 |
Open access
74
45
1
|
2020 |
Open access
16
10
|
2020 |
Open access
66
49
|
2020 |
Open access
6
4
1
|
2020 |
Open access
8
7
2
|
2020 |
Open access
16
14
3
|
2019 |
Open access
8
7
|
2019 |
Open access
6
5
|
2019 |
Open access
143
119
104
|
2019 |
Open access
32
25
|
2019 |
Open access
55
36
7
|
2019 |
Open access
20
14
|
2019 |
32
25
|
2019 |
Open access
1
2
|
2019 |
Open access
|
2019 |
Open access
16
17
5
|
2019 |
Open access
16
16
5
|
2019 |
Open access
31
29
1
|
2019 |
Open access
28
23
4
|
2019 |
Open access
10
11
|
2018 |
Open access
122
83
|
2018 |
Open access
1
|
2018 |
Open access
14
12
1
|
2018 |
Open access
44
40
1
|
2018 |
Open access
22
15
|
2018 |
Open access
9
8
2
|
2018 |
56
50
2
|
2018 |
Open access
4
3
1
|
2018 |
Open access
5
4
|
2018 |
Open access
8
5
|
2017 |
20
15
|
2017 |
17
15
|
2017 |
Open access
72
60
2
|
2017 |
Open access
3
|
2017 |
Open access
39
28
1
|
2017 |
17
16
|
2017 |
Open access
25
21
4
|
2017 |
Open access
146
134
16
|
2017 |
Open access
17
14
2
|
2017 |
Open access
22
19
2
|
2016 |
39
29
1
|
2016 |
Open access
23
29
|
2016 |
Open access
32
12
1
|
2016 |
Open access
15
11
|
2016 |
Open access
24
18
2
|
2016 |
Open access
14
17
2
|
2016 |
Open access
59
44
8
|
2016 |
9
10
1
|
2016 |
8
8
1
|
2015 |
Open access
33
27
2
|
2015 |
Open access
26
19
2
|
2015 |
Open access
24
18
8
|
2014 |
Open access
21
10
|
2014 |
Open access
19
16
3
|
2014 |
Open access
24
22
|
2013 |
7
3
|
2013 |
Open access
37
38
4
|
2013 |
Open access
66
62
4
|
2013 |
1
|
2012 |
20
12
|
2012 |
Open access
40
16
|
2011 |
7
6
|
2010 |
Open access
85
82
|
2009 |
Open access
65
55
|
2008 |
115
109
|
Year | Output |
---|---|
2023 |
|
2023 |
Open access
|
2023 |
8
|
2023 |
|
2023 |
Open access
|
2022 |
Open access
|
2022 |
Open access
|
2022 |
Open access
|
2022 |
Open access
|
2022 |
Open access
|
2022 |
Open access
2
|
2022 |
Open access
|
2022 |
Open access
|
2021 |
|
2021 |
Open access
|
2021 |
Open access
4
2
|
2021 |
Open access
6
1
31
|
2021 |
Open access
|
2020 |
Open access
7
|
2020 |
|
2020 |
Open access
|
2020 |
1
|
2020 |
Open access
7
|
2019 |
Open access
19
|
2019 |
Open access
46
|
2019 |
2
|
2019 |
Open access
|
2019 |
Open access
4
2
|
2018 |
8
|
2018 |
5
|
2018 |
7
|
2018 |
Open access
|
2017 |
7
|
2017 |
Open access
6
2
|
2017 |
Open access
8
6
1
|
2017 |
2
|
2017 |
Open access
9
5
|
2017 |
Open access
1
1
|
2016 |
31
10
|
2016 |
|
2015 |
Open access
|
2014 |
Open access
21
15
4
|
2014 |
5
|
2014 |
2
2
|
2013 |
37
28
5
|
2012 |
25
20
|
2011 |
Open access
7
|
2011 |
Open access
2
|
2011 |
Open access
5
|
2010 |
|
2010 |
Open access
1
|
2009 |
Open access
|
2009 |
Open access
4
|
2008 |
12
3
|
Research
External engagement & recognition
Organisation | Country |
---|---|
Agency for Science Technology & Research (ASTAR) | UNITED STATES |
Anhui University | CHINA |
Arizona State University | UNITED STATES |
Carnegie Mellon University | UNITED STATES |
Charles Sturt University | AUSTRALIA |
Children's Cancer Institute Australia | AUSTRALIA |
Chinese Academy of Sciences | CHINA |
Consilium Technology | AUSTRALIA |
Consilium Technology Pty Ltd | AUSTRALIA |
CSIRO Australia (Commonwealth Scientific Industrial Research Organisation) | AUSTRALIA |
CSIRO Data61 | AUSTRALIA |
Dali University | CHINA |
Data to Decisions CRC | AUSTRALIA |
Deakin University | AUSTRALIA |
Defence Science and Technology Group | AUSTRALIA |
East China Normal University | CHINA |
Guangxi University of Finance and Economics | CHINA |
Hanson Institute | AUSTRALIA |
Heifei University of Technology | CHINA |
Hong Kong Baptist University | 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 |
Jiangsu University of Technology | CHINA |
Kanazawa University | JAPAN |
Kunming University of Science and Technology | CHINA |
La Trobe University | AUSTRALIA |
Lingnan University | HONG KONG |
Max Planck Institute for Intelligent Systems | GERMANY |
Maxima Training Group (Aust) Ltd. | AUSTRALIA |
Microsoft | AUSTRALIA |
Microsoft Research | UNITED KINGDOM |
Ministry of Education China | CHINA |
Nanjing University | CHINA |
National Cancer Institute | UNITED STATES |
National University of Defense Technology | CHINA |
National University of Singapore | SINGAPORE |
Norris Cotton Cancer Center | UNITED STATES |
Pham Ngoc Thach University of Medicine | VIET NAM |
SA Pathology | AUSTRALIA |
Shanxi University | CHINA |
Simon Fraser University | CANADA |
The Australian Wine Research Institute | AUSTRALIA |
Tufts University | UNITED STATES |
University Libre Bruxelles | BELGIUM |
University of Adelaide | AUSTRALIA |
University of Crete | GREECE |
University of Electronic Science and Technology of China | CHINA |
University of Illinois at Urbana-Champaign | UNITED STATES |
University of Lausanne | SWITZERLAND |
University of Massachusetts Boston | UNITED STATES |
University of Melbourne | AUSTRALIA |
University of Michigan | UNITED STATES |
University of New South Wales | AUSTRALIA |
University of Newcastle | AUSTRALIA |
University of Pennsylvania | UNITED STATES |
University of Pittsburgh | UNITED STATES |
University of Science and Technology of China | CHINA |
University of South Australia | AUSTRALIA |
University of Zurich | SWITZERLAND |
Yunnan Open University | CHINA |
Zhejiang Normal University | CHINA |
External engagement & recognition
Engagement/recognition | Year |
---|---|
Associate EditorBMC Bioinformatics |
2022 |
Co-chairAssociation for Computing Machinery (ACM) SIGKDD Workshop on Causal Discovery |
2022 |
Editorial board memberInternational Journal of Data Science and Analytics |
2022 |
Organising committee member & job-matching chairThe 2021 IEEE International Conference on Data Mining (ICDM) |
2022 |
Program committee memberACM SIGKDD Conference on Knowledge Discovery and Data Mining |
2022 |
Program committee memberInternational Joint Conference on Artificial Intelligence |
2022 |
Program committee memberThe Conference on Uncertainty in Artificial Intelligence (UAI) |
2022 |
Program committee memberInternational Conference on Learning Representations (ICLR) |
2022 |
Program committee memberAnnual Conference on Neural Information Processing Systems (NeurIPS) |
2022 |
Program committee memberAAAI Conference on Artificial Intelligence (AAAI) |
2022 |
Program committee memberACM International Conference on Web Search and Data Mining (WSDM) |
2022 |
Steering Committee MemberAustralasian Data Mining Conference (AusDM) |
2022 |
Associate EditorBMC Bioinformatics |
2021 |
Best Application Paper Award2020 IEEE International Conference on Big Data (IEEE BigData 2020) |
2021 |
Outstanding Reviewer Award of NeurIPS 202135th Conference on Neural Information Processing Systems |
2021 |
Outstanding Reviewer Award of WSDM 202114th ACM International Conference on Web Search and Data Mining (WSDM 2021) |
2021 |
Program committee memberACM SIGKDD Conference on Knowledge Discovery and Data Mining |
2021 |
Program committee memberInternational Joint Conference on Artificial Intelligence |
2021 |
Program committee memberAnnual Conference on Neural Information Processing Systems (NeurIPS) |
2021 |
Program committee memberAAAI Conference on Artificial Intelligence (AAAI) |
2021 |
Program committee memberACM International Conference on Web Search and Data Mining (WSDM) |
2021 |
Program committee memberInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
2021 |
Program committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2021 |
Steering Committee MemberAustralasian Data Mining Conference (AusDM) |
2021 |
Associate EditorBMC Bioinformatics |
2020 |
Best Application Paper Award2020 IEEE International Conference on Big Data (IEEE BigData 2020) |
2020 |
Co-chairAssociation for Computing Machinery (ACM) SIGKDD Workshop on Causal Discovery |
2020 |
Program committee memberInternational Joint Conference on Artificial Intelligence |
2020 |
Program committee memberAAAI Conference on Artificial Intelligence (AAAI) |
2020 |
Program committee memberACM International Conference on Web Search and Data Mining (WSDM) |
2020 |
Program committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2020 |
Steering Committee MemberAustralasian Data Mining Conference Series |
2020 |
Conference Co-chairAustralasian Data Mining Conference 2019 |
2019 |
Program committee memberInternational Joint Conference on Artificial Intelligence |
2019 |
Program committee memberAAAI Conference on Artificial Intelligence (AAAI) |
2019 |
Program committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2019 |
Co-chairAssociation for Computing Machinery (ACM) SIGKDD Workshop on Causal Discovery |
2018 |
Program Committee MemberThe Web Conference 2018 (WWW 2018) |
2018 |
Program Committee Member22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne |
2018 |
Program Committee MemberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018) |
2018 |
Program Committee Member32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA |
2018 |
Co-chairAssociation for Computing Machinery (ACM) SIGKDD Workshop on Causal Discovery |
2017 |
Guest editor, Special issues on Causal Discovery, SpringInternational Journal of Data Science and Analytics |
2017 |
Program Committee Co-chair15th Australasian Data Mining Conference (AusDM) |
2017 |
Program Committee MemberACM SIGKDD Conference on Knowledge Discovery and Data Mining |
2017 |
Program Committee Member26th International Joint Conference on Artificial Intelligence |
2017 |
Program Committee MemberAustralasian Data Mining Conference |
2017 |
Program Committee MemberAustralasian Computer Science Conference |
2017 |
Co-chairAssociation for Computing Machinery (ACM) SIGKDD Workshop on Causal Discovery |
2016 |
Program Committee MemberACM SIGKDD Conference on Knowledge Discovery and Data Mining |
2016 |
Program Committee MemberAustralasian Data Mining Conference |
2016 |
Program Committee MemberAustralasian Computer Science Conference |
2016 |
Program Committee MemberACM SIGKDD Conference on Knowledge Discovery and Data Mining |
2015 |
Program Committee MemberAustralasian Data Mining Conference |
2015 |
Program Committee Co-chair12th Australasian Data Mining Conference (AusDM) |
2014 |
Program Committee MemberAustralasian Data Mining Conference |
2014 |
Co-chair1st IEEE ICDM Workshop on Causal Discovery |
2013 |
Program Committee Co-chair11th Australasian Data Mining Conference (AusDM) |
2013 |
Program Committee MemberAustralasian Data Mining Conference |
2013 |
Program Committee MemberAustralasian Computer Science Conference |
2013 |
Program Committee MemberAustralasian Data Mining Conference |
2012 |
Program Committee Member23rd Australasian Joint Conference on Artificial Intelligence |
2010 |
Program Committee MemberInternational Conference on Application of Concurrency to System Design |
2010 |
Teaching & student supervision
Teaching & student supervision
Supervisions from 2010 shown
Thesis title | Student status |
---|---|
110459 - Advancing machine learning for human-machine partnership in decision making | Current |
A Study of Causal Feature Selection | Current |
Advanced Continual Machine Learning | Current |
Advanced continual reinforcement learning | Current |
Assuring competency of machine learning systems through causal explanation | 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 |
Develop fair and unbiased machine learning techniques for decision making | Current |
Developing causal-based methods for recommending the repurposed drugs for a disease and applications in breast cancer and SARS-CoV-2 | Current |
Dynamic causal inference methods for modelling biological processes in cancer | Current |
Heterogeneous Causal Effect of Price Promotion on Consumer Purchase Behaviour | Current |
Image captioning and cognitive object classification | Current |
Improving adversarial robustness of machine learning models | Current |
Individual and intersectional group fairness in machine learning models | Current |
Manipulation detection in social media combining text and rich structural features | Current |
A data mining approach to analyse the influence of student features on their academic outcomes | Completed |
A general model of forensic data recovery framework for digital CCTV systems | Completed |
Computational causal discovery from observational data and application in bioinformatics | Completed |
Computational modelling for breast cancer prognosis in precision medicine | 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 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 |
Discovering functional miRNA-mRNA regulatory modules in data | Completed |
Extracting insights from social media to predict, detect and summarize civil unrest | Completed |
Forensic taxonomies of android apps (ForTAApps) | Completed |
Inferring miRNA-mRNA regulatory relationships using causal inference methods | 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 |
Money laundering and terrorism financing in virtual environments - a feasibility study | Completed |
Privacy preserving publication of transactional data | Completed |
Towards efficient and unbiased causal effect estimation from observational data | Completed |