Staff Directory

Dr Kewen Liao Name: Dr Kewen Liao
Senior Lecturer
Email
kewen.liao@acu.edu.au
Phone
+612 9739 2553
Organisational Area
Faculty of Law and Business
Department
Peter Faber Business School (Sydney)
Location
North Sydney
Building 532 - Tenison Woods House (8-20 Napier Street, North Sydney NSW 2060)-Level 6-Room 532.6.04
Biographical Information

Dr. Kewen Liao is currently a Senior Lecturer in Information Technology (IT) and Master of IT Coordinator in the Peter Faber Business School at Australian Catholic University (ACU). Previously, Dr. Liao was a Lecturer in Information Technology at Charles Darwin University (CDU) Sydney. Dr. Liao's research and teaching interests are data science and algorithms.

Dr. Liao was a Research Fellow in Data Analytics at Swinburne University of Technology (SUT) and a Postdoctoral Researcher in Big Data and Algorithms at The University of Melbourne (UoM). Dr. Liao has also worked as a Research and Development Engineer in Computer Vision and Machine Learning at Canon Information Systems Research Australia with a US patent.

Dr. Liao holds a PhD (with focus on algorithms) and a First Class Honours Bachelor (with focus on software engineering) both in Computer Science from The University of Adelaide (UoA). Dr. Liao did undergraduate exchange at University of Illinois at Urbana-Champaign (UIUC), USA.

Dr. Liao has published nearly 30 papers with many of them in top venues such as conferences 
WWW, WSDM, ICDE, IJCAI, SPAA, SSDBM, WISE, ICSOC, FCT and COCOON, and journals Theoretical Computer Science, Computer Journal, Journal of Combinatorial Optimization, Distributed and Parallel Databases, International Journal of Data Science and Analytics, and IEEE Access.

Publications

Selected conference papers:

Hongyu Sun, Qiang He, Kewen Liao, Timos Sellis, Longkun Guo, Xuyun Zhang, Jun Shen and Feifei Chen, Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams, IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, USA, 2019. [an emerging leading conference in big data]
 
Lu Chen, Chengfei Liu, Kewen Liao, Jianxin Li, Rui Zhou. Contextual Community Search over Large Social Networks. The 35th IEEE International Conference on Data Engineering (ICDE 2019), Macau SAR, China, 8-11 April 2019. [CORE A*]
 
Longkun Guo, Kewen Liao, Yunyun Deng, Qiang He, Timos Sellis and Zheshan Hu. A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19 2018. [CORE A*]
 
Federico Montori, Kewen Liao, Prem Prakash Jayaraman, Luciano Bononi, Timos Sellis and Dimitrios Georgakopoulos. Classification and Annotation of Open Internet of Things Datastreams. The 19th International Conference on Web Information Systems Engineering (WISE 2018), Dubai, UAE, November 12-15, 2018. [CORE A]
 
Oshini Goonetilleke, Danai Koutra, Timos Sellis and Kewen Liao. Edge Labeling Schemes for Graph Data. The 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017), Chicago, Illinois, USA, June 27 - June 29, 2017. [CORE A]
 
Kewen Liao, Alistair Moffat, Matthias Petri and Anthony Wirth. A Cost Model for Long-Term Compressed Data Retention. The 10th ACM International Conference on Web Search and Data Mining (WSDM 2017), Cambridge UK, February 6-10, 2017.
[CORE A*]
 
Kewen Liao, Matthias Petri, Alistair Moffat and Anthony Wirth. Effective Construction of Relative Lempel-Ziv Dictionaries. The 25th World Wide Web Conference (WWW 2016), Montreal, Canada, April 11 - 15, 2016. [CORE A*]
 
Longkun Guo, Kewen Liao, Hong Shen and Peng Li. Efficient Approximation Algorithms for Computing k Disjoint Restricted Shortest Paths. The 27th ACM on Symposium on Parallelism in Algorithms and Architectures (SPAA 2015), Portland, Oregon, USA, June 13 - 15, 2015. [CORE A]
 
Kewen Liao, Hong Shen and Longkun Guo. Improved Approximation Algorithms for Constrained Fault-Tolerant Resource Allocation. The 19th International Symposium on Fundamentals of Computation Theory (FCT 2013), Liverpool, United Kingdom, August 19-21, 2013. [CORE A]
 
Longkun Guo, Hong Shen and Kewen Liao. Improved Approximation Algorithms for Computing k Disjoint Paths Subject to Two Constraints. The 19th International Computing and Combinatorics Conference (COCOON 2013), Hangzhou, China, June 21-23, 2013. [CORE A]
 
Jiangang Ma, Quan Z. Sheng, Kewen Liao, Yanchun Zhang and Anne H.H. Ngu. WS-Finder: A Framework for Similarity Search of Web Services. The 10th International Conference on Service Oriented Computing (ICSOC 2012). Shanghai, China, November 12-16, 2012. [CORE A]
 
Kewen Liao and Hong Shen. Unconstrained and Constrained Fault-Tolerant Resource Allocation. The 17th International Computing and Combinatorics Conference (COCOON 2011), Dallas, TX, USA, August 14-16, 2011. [CORE A]
 

Selected journal papers:

Ioanna Tsalouchidou, Ricardo Baeza-Yates, Francesco Bonchi, Kewen Liao and Timos Sellis. Temporal Betweenness Centrality in Dynamic Graphs, International Journal of Data Science and Analytics, 2019. [An emerging leading journal in data science]
 
Oshini Goonetilleke, Danai Koutra, Kewen Liao and Timos Sellis. On Effective and Efficient Graph Edge Labeling, Distributed and Parallel Databases, Vol 37, No 1, pp 5-38, 2019. [ERA A]
 
Weiling Li, Kewen Liao, Qiang He, Yunni Xia. Cost-Effective Resource Provisioning for Future Grid IoT-Cloud Systems, Journal of Energy Engineering, 2019. [ERA B, Q2]
 
Peihuang Huang, Wenxing Zhu, Kewen Liao, Timos Sellis, Zhiyong Yu and Longkun Guo. Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing, IEEE Access, Vol 6, pp 50055-65, 2018. [Q1]
 
Kewen Liao, Hong Shen and Longkun Guo. Improved approximation algorithms for constrained fault-tolerant resource allocation. Theoretical Computer Science, Vol 590, pp 118-128, 2015. [ERA A, Q1]
 
Kewen Liao and Hong Shen. LP-Based Approximation Algorithms for Reliable Resource Allocation. The (Oxford) Computer Journal, Vol 57, No 1, pp 154-164, 2014. [ERA A*, Q1]
 
Longkun Guo, Hong Shen and Kewen Liao. Improved Approximation Algorithms for Computing k Disjoint Paths Subject to Two Constraints. Journal of Combinatorial Optimization, Vol 29, Issue 1, pp 153-164, 2015. [ERA B, Q2]

 

Research

Dr Liao currently leads the Human-centric Data Analytics and Visualisation (hDAV) research group at ACU. His research has been supported by:

Academic staff start-up grant, College of Engineering, IT & Environment, Charles Darwin University, Sole Recipient, $5,000
 
Deep learning for corrosion detection in industrial assets using drone images (2019 - 2020), Robonomics AI Australia Pty Ltd, Chief Investigator, $22,000
Humanitarian action across Australia (2018 - 2019), Swinburne Social Innovation and Data Science Research Institutes & Australian Red Cross, Chief Investigator, $190,000
Linked data anomaly detection with deep learning (2018 - 2019), Victorian Department of Health and Human Services, Chief Investigator, $26,000
Wearable gait and neurological diagnostics system in the form of a smart insole (2018 - 2019), Swinburne Iverson Health Innovations and Data Science Research Institutes & RIZMIK & Cabrini Hospital, Chief Investigator, $20,000
Machine learning and industry (2017 - 2018), Swinburne School of Software and Electrical Engineering Industry Engagement Scheme, Chief Investigator, $5,300
Top conference travel grant, School of Computer Science, The University of Adelaide, Sole Recipient, $10,000
 
AGRS/APA Scholarship + Summer Research Scholarship, The University of Adelaide, Sole Recipient, $80,000

 

Experience

More than six years of experience in teaching 15 units (include face-to-face and online lecturing) from all levels of computer science and IT courses. Topics covered: databases and data management, web programming, data analytics, data structures and algorithms, fundamental computer science and programming, and software engineering.

Core units recently designed and taught:

- Enterprise Architecture (information systems)

- Data analytics and visualisation (data science)

- Advanced data management (data science)

- Algorithms and complexity (data science)

- Discrete structures (software engineering)

- Database-driven web applications (web programming)

 

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