Alias: John Li OR "Jui yon Lee" for my name Jiuyong Li.
Jiuyong Li is a Professor of Computer Science at STEM of the University of South Australia (UniSA). He is the Director of the Data Analytics Group. His research interests are in data mining, applied machine learning and their applications in bio and health informatics and for social good, such as privacy and fairness. His research work has been supported by seven Australian Research Council Discovery grants and many industry funds. He is a member of the National Committee of Artificial Intelligence of Australian Computer Society.
My paper lists: Google Scholar and DBLP (Computer Science)
Software tools: http://nugget.unisa.edu.au/jiuyong/
Major research... Read more
About me
Alias: John Li OR "Jui yon Lee" for my name Jiuyong Li.
Jiuyong Li is a Professor of Computer Science at STEM of the University of South Australia (UniSA). He is the Director of the Data Analytics Group. His research interests are in data mining, applied machine learning and their applications in bio and health informatics and for social good, such as privacy and fairness. His research work has been supported by seven Australian Research Council Discovery grants and many industry funds. He is a member of the National Committee of Artificial Intelligence of Australian Computer Society.
My paper lists: Google Scholar and DBLP (Computer Science)
Software tools: http://nugget.unisa.edu.au/jiuyong/
Major research grants (selected)
Major community service (selected)
About me
Doctor of Philosophy Griffith University
Master of Science (Computer and Information Science) Yunnan University
Bachelor of Science (Physics) Yunnan University
Research
Excludes commercial-in-confidence projects.
SmartSat 3-07s: Satellite image-based smoke detection for bush fire detection - Liang Zhao, SmartSat CRC, 05/10/2020 - 04/10/2023
D2D CRC Limited Scholarship, D2D CRC Limited, 16/10/2017 - 17/10/2020
Develop efficient data mining methods for evidence based decision making, ARC - Discovery Projects, 29/06/2017 - 28/06/2020
Int Policing: Entity Linking & Resolution, D2D CRC Limited, 01/01/2016 - 31/12/2019
D2D CRC Limited Scholarship, D2D CRC Limited, 28/11/2016 - 30/11/2019
D2D CRC Limited Scholarship, D2D CRC Limited, 16/03/2016 - 30/09/2019
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
An Economic Complexity analysis of Australia's states, SA Dept for Innovation and Skills, 26/06/2014 - 30/09/2015
Data mining of learning behaviours and interactions for improved sentiment and performance, Office for Learning and Teaching Grants - Innovation & Development, 29/06/2013 - 31/07/2015
Studying privacy protection methods for multiple independent data releases, ARC - Discovery Projects, 01/01/2011 - 31/12/2014
Confidential document sharing by automatic document sanitization, Australia-India Strategic Research Fund, 01/11/2012 - 31/07/2013
Research
Research since 2008 is shown below. To see earlier years visit ORCID, ResearcherID or Scopus
Open access indicates that an output is open access.
Year | Output |
---|---|
2017 |
Open access
14
9
2
|
2017 |
Open access
11
10
2
|
2015 |
Open access
23
4
1
|
2014 |
22
18
3
|
2013 |
Open access
53
49
4
|
Year | Output |
---|---|
2015 |
Li, J, Liu, L & Le, TD 2015, Practical approaches to causal relationship exploration, Springer, US. |
Year | Output |
---|---|
2015 |
1
3
|
2015 |
3
|
2014 |
Open access
|
2013 |
1
|
2011 |
Open access
|
2010 |
|
2010 |
2
|
Year | Output |
---|---|
2020 |
2
|
2020 |
8
|
2020 |
1
87
|
2020 |
Open access
1
11
|
2020 |
|
2020 |
Open access
33
|
2020 |
Open access
|
2020 |
1
|
2020 |
2
|
2020 |
Open access
3
|
2019 |
2
2
|
2019 |
Open access
1
3
28
|
2019 |
Open access
30
29
110
|
2019 |
Open access
9
|
2019 |
Open access
9
3
|
2019 |
Open access
15
12
3
|
2019 |
|
2019 |
|
2019 |
Open access
|
2019 |
Open access
1
5
|
2019 |
Open access
3
5
5
|
2019 |
9
9
|
2019 |
Open access
9
9
3
|
2019 |
Open access
2
3
|
2018 |
Open access
1
1
|
2018 |
Open access
5
6
|
2018 |
30
23
|
2018 |
Open access
2
2
1
|
2018 |
9
6
2
|
2018 |
Open access
7
6
|
2018 |
Open access
|
2018 |
Open access
8
7
5
|
2018 |
Open access
4
4
1
|
2018 |
Open access
12
11
1
|
2018 |
11
8
|
2018 |
3
3
2
|
2018 |
7
7
1
|
2018 |
21
19
2
|
2018 |
Open access
1
|
2018 |
Open access
1
1
|
2018 |
Open access
3
3
|
2017 |
43
39
2
|
2017 |
|
2017 |
Open access
1
|
2017 |
Open access
14
9
2
|
2017 |
16
10
|
2017 |
4
4
|
2017 |
Open access
11
10
2
|
2017 |
Open access
43
42
7
|
2017 |
Open access
10
8
2
|
2017 |
Open access
18
15
2
|
2016 |
1
1
|
2016 |
8
8
3
|
2016 |
Open access
37
36
10
|
2016 |
Open access
15
11
|
2016 |
Open access
10
6
|
2016 |
Open access
19
14
2
|
2016 |
Open access
11
9
2
|
2016 |
Open access
35
23
7
|
2016 |
8
7
1
|
2016 |
5
5
1
|
2015 |
Open access
22
17
2
|
2015 |
Open access
24
18
2
|
2015 |
Open access
17
9
7
|
2015 |
Open access
23
4
1
|
2015 |
Open access
11
11
9
|
2014 |
9
8
|
2014 |
Open access
195
204
2
|
2014 |
Open access
11
7
|
2014 |
5
4
|
2014 |
22
18
3
|
2014 |
58
43
|
2014 |
Open access
14
9
3
|
2014 |
Open access
20
18
|
2014 |
8
7
|
2013 |
|
2013 |
Open access
34
35
3
|
2013 |
Open access
53
49
4
|
2013 |
Open access
16
8
|
2013 |
1
|
2013 |
4
4
|
2013 |
26
17
|
2012 |
6
|
2012 |
Open access
85
54
3
|
2012 |
1
|
2012 |
Open access
8
9
|
2012 |
Open access
36
25
|
2012 |
Open access
|
2012 |
5
6
|
2012 |
|
2011 |
19
14
|
2011 |
24
18
|
2011 |
24
17
|
2011 |
9
18
|
2011 |
Open access
1
|
2011 |
7
6
|
2010 |
Open access
76
74
|
2010 |
Sun, B, Li, J, Wu, dD, Zhang, X-M & Li, W-B 2010, 'Kernel discriminant learning for ordinal regression', IEEE Transactions on Knowledge and Data Engineering. |
2010 |
Open access
58
49
|
2010 |
Open access
2
2
|
2009 |
|
2009 |
34
24
|
2009 |
Open access
41
38
|
2009 |
Open access
60
49
|
2009 |
Open access
33
18
|
2008 |
|
2008 |
1
|
2008 |
Open access
38
23
|
2008 |
|
2008 |
|
Year | Output |
---|---|
2020 |
Open access
|
2020 |
|
2020 |
Open access
|
2019 |
Open access
1
|
2019 |
Open access
|
2019 |
Open access
4
|
2019 |
2
|
2019 |
Open access
|
2019 |
Open access
|
2018 |
5
|
2018 |
3
|
2018 |
2
1
|
2018 |
2
|
2018 |
Open access
|
2017 |
5
|
2017 |
Open access
3
1
|
2017 |
Open access
3
1
1
|
2017 |
1
|
2017 |
4
2
|
2016 |
5
5
|
2016 |
|
2016 |
|
2015 |
5
2
|
2015 |
6
3
|
2015 |
15
10
|
2015 |
1
|
2014 |
11
8
|
2014 |
8
4
|
2014 |
|
2014 |
2
1
|
2014 |
3
1
|
2013 |
8
|
2013 |
2
|
2013 |
25
18
|
2013 |
Open access
8
2
|
2013 |
|
2012 |
Open access
2
2
|
2012 |
16
10
|
2012 |
|
2011 |
14
|
2011 |
|
2011 |
Open access
10
7
|
2011 |
|
2011 |
|
2011 |
Open access
4
|
2010 |
Open access
1
|
2010 |
Open access
1
|
2010 |
Open access
1
|
2010 |
Open access
1
|
2009 |
Open access
2
|
2009 |
Open access
|
2009 |
11
|
2009 |
1
|
2009 |
9
|
2009 |
Open access
1
|
2009 |
Open access
11
5
|
2009 |
4
3
|
2008 |
58
|
2008 |
Open access
4
|
2008 |
5
1
|
2008 |
24
|
2008 |
Leng, J, Li, J & Jain, L 2008, 'A Role-Based Framework for Multi-agent Teaming', in I. Lovrek, R.J. Howlett and L.C. Jain. |
2008 |
2
2
|
2008 |
Open access
5
2
|
2008 |
8
3
|
2008 |
2
|
2008 |
Open access
23
10
|
2008 |
Open access
1
1
|
2008 |
Open access
1
|
Research
External engagement & recognition
Organisation | Country |
---|---|
Advanced Digital Sciences Center | SINGAPORE |
Agency for Science Technology & Research (ASTAR) | UNITED STATES |
Australian Council for Educational Research Ltd | AUSTRALIA |
Australian National University | AUSTRALIA |
Carnegie Mellon University | UNITED STATES |
Charles Sturt University | AUSTRALIA |
Children's Cancer Institute Australia | AUSTRALIA |
Chinese Academy of Sciences | CHINA |
Chinese University of Hong Kong | HONG KONG |
City University of Hong Kong | HONG KONG |
CSIRO Australia (Commonwealth Scientific Industrial Research Organisation) | AUSTRALIA |
Dali University | CHINA |
Data to Decisions CRC | AUSTRALIA |
East China Normal University | CHINA |
Ecole Nationale Superieure Agronomique | FRANCE |
Econsearch | AUSTRALIA |
Edith Cowan University | AUSTRALIA |
First peoples hospital of Yunnan province | CHINA |
First people's hospital of Yunnan province | CHINA |
Griffith University | AUSTRALIA |
Guangxi Normal University | CHINA |
Hanson Institute | AUSTRALIA |
Harbin Institute of Technology | CHINA |
Heifei University of Technology | CHINA |
Hong Kong University of Science and Technology | HONG KONG |
Huazhong University of Science and Technology | CHINA |
Icahn School of Medicine at Mount Sinai | UNITED STATES |
Institute of Medical and Veterinary Science | AUSTRALIA |
InterSect Alliance International | AUSTRALIA |
Jiangsu University | CHINA |
Kanazawa University | JAPAN |
Kunming University of Science and Technology | CHINA |
Lingnan University | HONG KONG |
Max Planck Institute for Intelligent Systems | GERMANY |
Max Planck Society | GERMANY |
McGill University | CANADA |
Microsoft Research | UNITED KINGDOM |
Nanjing University | CHINA |
National Cancer Institute | UNITED STATES |
National Measurement Institute | AUSTRALIA |
National University of Singapore | SINGAPORE |
Nha Trang University | VIET NAM |
Norris Cotton Cancer Center | UNITED STATES |
Northern Kentucky University | UNITED STATES |
Pham Ngoc Thach University of Medicine | VIET NAM |
RMIT University | AUSTRALIA |
SA Department for State Development | AUSTRALIA |
SA Pathology | AUSTRALIA |
SA Water Corporation | AUSTRALIA |
Second Affiliated Hospital of Kunming Medical University | CHINA |
Shenzhen Institute of Information Technology | CHINA |
Simon Fraser University | CANADA |
Sun Yat-Sen University | CHINA |
Swinburne University of Technology | AUSTRALIA |
Tabriz University of Medical Sciences | IRAN |
Tehran University of Medical Sciences | IRAN |
Tsinghua University | CHINA |
Tufts University | UNITED STATES |
University Libre Bruxelles | BELGIUM |
University of Adelaide | AUSTRALIA |
University of British Columbia | CANADA |
University of California, Berkeley | UNITED STATES |
University of Colorado | UNITED STATES |
University of Electronic Science and Technology of China | CHINA |
University of Helsinki | FINLAND |
University of Illinois at Urbana-Champaign | UNITED STATES |
University of Lausanne | SWITZERLAND |
University of Luxembourg | LUXEMBOURG |
University of Massachusetts Boston | UNITED STATES |
University of Michigan | UNITED STATES |
University of New England | AUSTRALIA |
University of New South Wales | AUSTRALIA |
University of Newcastle | AUSTRALIA |
University of Pennsylvania | UNITED STATES |
University of Queensland | AUSTRALIA |
University of Science and Technology of China | CHINA |
University of Science, Malaysia | MALAYSIA |
University of South Australia | AUSTRALIA |
University of Southern Queensland | AUSTRALIA |
University of Southern Queensland Victoria University | AUSTRALIA |
University of Technology Sydney | AUSTRALIA |
University of Texas at San Antonio | UNITED STATES |
University of Zanjan | IRAN |
University of Zurich | SWITZERLAND |
Vanderbilt University | UNITED STATES |
Victoria University | AUSTRALIA |
Water Corporation | AUSTRALIA |
Wuhan University | CHINA |
Xiamen University | CHINA |
Xian Highway University | CHINA |
Yunnan Open University | CHINA |
Yunnan University | CHINA |
Zayed University | UNITED ARAB EMIRATES |
Zhejiang Gongshang University | CHINA |
Zhejiang Normal University | CHINA |
Zhejiang University | CHINA |
External engagement & recognition
Engagement/recognition | Year |
---|---|
MemberNational Committee of Artificial Intelligence, Australian Computer Society |
2017 |
Member, Steering CommitteeAustralasian Data Mining Conference |
2017 |
Program Committee memberACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) |
2016 |
Program Committee memberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) |
2016 |
Program Committee memberSIAM International Conference on Data Mining (SDM) |
2016 |
Senior Program Committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2016 |
Area chairIEEE International Conference on Data Mining (ICDM) |
2015 |
Program Committee memberACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) |
2015 |
Program Committee memberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) |
2015 |
Program Committee memberSIAM International Conference on Data Mining (SDM) |
2015 |
Senior Program Committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2015 |
Area chairIEEE International Conference on Data Mining (ICDM) |
2014 |
Program Committee memberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) |
2014 |
Program Committee memberSIAM International Conference on Data Mining (SDM) |
2014 |
Senior Program Committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2014 |
Senior Program Committee member and Workshop Co-chairPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2013 |
Australia-India Senior Visiting FellowshipAustralian Academy of Science |
2012 |
Program Committee Co ChairAustralasian Data Mining Conference |
2012 |
Program Committee memberACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) |
2012 |
Program Committee memberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) |
2012 |
Program Committee memberSIAM International Conference on Data Mining (SDM) |
2012 |
Senior Program Committee memberPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
2012 |
Workshop Co-chair, Causal DiscoveryIEEE International Conference on Data Mining (ICDM) |
2012 |
Program Committee Co ChairAustralasian Data Mining Conference |
2011 |
Program Committee memberEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) |
2011 |
Program Committee ChairAustralasian Joint Conference in Artificial Intelligence |
2010 |
Program Committee memberACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) |
2010 |
Program Committee memberSIAM International Conference on Data Mining (SDM) |
2010 |
Teaching & student supervision
Teaching & student supervision
Supervisions from 2010 shown
Thesis title | Student status |
---|---|
Causal inference methods for identification of subtypes of cancer based on multi-levelled biological data | Current |
Deep learning-based causal effects mining for personalized treatment | Current |
Dependency-based anomaly detection and applications | Current |
Develop fair and unbased machine learning algorithms for decision making | Current |
Developing effective algorithms for estimating causal effects in hig-dimesional observational data | Current |
Developing network inference methods for cancer driver discovery | Current |
Developing robust machine learning methods against adversarial attacks | Current |
Group and individual fairness in machine learning | Current |
Improving robustness of classification under dynamic environments with causal models | Current |
Individual fairness in machine learning | Current |
Intervention recommendation for improvement in disability employment | Current |
Investigating transfer learning methods to improve the transferability of yield prediction models in agriculture industry | Current |
New authorship attribution methods to detect and manage social manipulation and fake news in social media | Current |
Outlier detection in time series data | Current |
Predicting Protein Subcellular Location by Fusing Multi-Source Information | Current |
A comparison of machine learning algorithms applied to quantitative structure-activity relationship studies in drug discovery | Completed |
A data mining approach to analyse the influence of student features on their academic outcomes | Completed |
Computational causal discovery from observational data and application in bioinformatics | Completed |
Constructing a rule-based classifier system for data inconsistency checking | Completed |
Developing 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 |
Development of data anonymity techniques for multiple independent data publishing | Completed |
Digital forensic data reduction and quick analysis for evidence and intelligence | Completed |
Discovering functional miRNA-mRNA regulatory modules in data | Completed |
Discovering interesting emerging and decaying patterns and their applications | Completed |
Distance-based dependencies: discovery and extension | Completed |
Extracting insights from social media to predict, detect and summarize civil unrest | Completed |
GPS trajectory-based models for effective semantic locations prediction and recommendation | Completed |
Inferring miRNA-mRNA regulatory relationships using causal inference methods | Completed |
Information quality management in accounting information system adoption | Completed |
Investigating social media users' collaborative information seeking behaviours during group trip planning and the execution of travelling | Completed |
Leveraging prediction semantics in ensemble methods for text classification | Completed |
Privacy preserving publication of transactional data | Completed |
Probabilistic models for privacy preserving data publishing | Completed |
Trust recognition in the online reputation-based multi-agent environment | Completed |
Weakening the faithfulness assumption in causal discovery | Completed |