Guanfeng Liu's Homepage

Research Interests and Topics

AI-Powered Medical Data Analytics

Abstract: This research aims to develop an advanced AI-driven medical data analytics platform that leverages cutting-edge data science and analytics techniques to improve healthcare decision-making, patient outcomes, and operational efficiency. By integrating machine learning, graph data mining, and predictive modeling, the platform will enable efficient extraction, analysis, and visualization of complex medical data.
Research Areas: Predictive Modeling, Graph Databases, Graph Data Mining, Machine Learning, Healthcare Data Analytics

Trustworthy AI: Ensuring Reliability, Fairness, and Transparency

Abstract: This research aims to develop robust methodologies for building trustworthy AI systems that prioritize reliability, fairness, transparency, and security. By integrating techniques such as explainable AI (XAI), bias mitigation, adversarial robustness, and ethical AI frameworks, the research will address critical challenges in ensuring AI models are interpretable, unbiased, and secure across various applications, including healthcare, finance, and cybersecurity.
Research Areas: Explainable AI, Fairness in AI, Adversarial Robustness, Ethical AI, Secure Machine Learning, Trustworthy Data Analytics

AI-Powered Database Systems

Abstract: This research focuses on the development of next-generation AI-powered database systems designed to revolutionize data management, querying, and analysis processes across various domains. By leveraging advancements in AI, including machine learning, deep learning, and automated optimization, these systems will provide intelligent data indexing, adaptive query optimization, and real-time analytics. The goal is to create highly scalable, self-managing database platforms that can handle large-scale, heterogeneous, and dynamic datasets with exceptional efficiency and flexibility.
Research Areas: Automated Query Optimization, Intelligent Data Indexing, Machine Learning for Databases, Deep Learning Applications, Distributed Database Systems, AI-Driven Data Security and Privacy

MRes and PhD Scholarships

I am seeking highly motivated and focused students with Backgrounds & Interests in Computer Science, Mathematics, and Engineering.

Master and PhD Students

Honors and Awards

Outstanding Reviewer, The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2025).
The Best Student Paper Award, The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2022, CORE B, Session: Data Science and Artificial Intelligence Enabled Trustworthy Recommendations), October 13-16, 2022, Shenzhen, China.
The Best Student Paper Award, The 19th International Conference on Web Information System Engineering (WISE 2018, CORE B), November 12-15, 2018, Dubai, United Arab Emirates.
The Best Paper Award, The Asia Pacific Web and Web-Age Information Management Joint Conference (APWeb-WAIM 2017, CORE B),7-9 July 2017, Beijing China.
The Best Paper Award, The 7th IEEE International Conference on Service Computing (SCC 2010, CORE B), Miami, USA, July 5-10, 2010.
The Best Student Paper Award, The 18th International Conference on Web Information System Engineering (WISE 2017, CORE B), October 7-11, 2017, Moscow, Russia.
The Best Paper Runner Up, The 16th International Conference on Web Information System Engineering (WISE 2015, CORE B),18-20 October 2015, Miami, Florida, USA.
Nominee of John Makepeace Bennett Award - Australasian Distinguished Doctoral Dissertation 2013.

Research Supervision

Complete Students

Dr. Pengfei Ding, PhD Student at Macquarie University, 2021-2024, now a Postdoc Research Fellow at Macquarie University

recipient of the Vice-Chancellor's Commendation for Academic Excellence, Macquarie University, 2025
recipient of the HDR Raising Star Award, School of Computing, Macquarie University, 2022

Dr. Adeem Ali Anwar, PhD Student at Macquarie University, 2021-2024, now a Lecturer at Kent Institute, Sydney, Australia

Dr. Feng Zhu, PhD Student at Macquarie University, 2017-2020, now a Senior Data Scientist at Alibaba Group

recipient of the Vice-Chancellor's Commendation for Academic Excellence, Macquarie University, 2020
recipient of the Award for the Outstanding Marster Student, Soochow University, 2014
recipient of the National Scholarship for the Outstanding Marster Students, Chinese Goverment, 2015

Dr. Guohao Sun, PhD Student at Macquarie University, 2016-2019, now an Associate Professor at Donghua University

recipient of the Vice-Chancellor's Commendation for Academic Excellence, Macquarie University, 2020
recipient of the Award for the Outstanding Marster Student, Soochow University, 2014

Anqi Zhao, Master Student at Soochow University, 2016-2019，now a Data Scientist at the Bank of Shanghai
Jiuchao Shi, Master Student at Soochow University, 2016-2019, now a Data Scientist at Microsoft
Yi Liu, Master Student at Soochow University, 2015-2018, now a Data Scientist at Alibaba Group
Qun Shi, Master Student at Soochow University, 2015-2018, now a Software Engineering at Qunar.com
Junqiang Dai, Master Student, 2012-2015, now a Data Scientist at Ctrip.com

Current Students

Aditi Ria, MRes Student, 2026-
Faisal Khamis Mohamed Al Zadjali, MRes Student, 2026
Amir Hossein Shahriari, MRes Student, 2026-
Thamolwan Poopradubsil, PhD Student, 2025-
Shuang Wang, PhD Student, 2025-
Yitong Zhang, PhD Student, 2025-
Haoran Ning, PhD Student, 2025-
Yiwei Yan, MRes+PhD Student, 2025-
Kiana Bagheri Lotfabad, MRes Student, 2025-
Kamyar Taeb, MRes+PhD Student, 2025-
Huanhuan Yuan, PhD student, 2024-
Han Zhang, PhD Student, 2023-
Rongwei Xu, MRes+PhD Student, 2021-

Visitors

Haojie Li, visiting PhD student, Qingdao University of Science and Technology, China, 2024-2025
Zhihong Cui, visiting PhD student, Shandong University, China, 2023-2024
Xizi Wang, visiting PhD student, Nanjing University, 2023-2024

Research Grants

ARC Discovery Project (ARC DP), "Trust-Oriented Data Analytics in Online Social Networks", 2023.1-2025.12
MQ New Staff Grants (MQNS), "Diverse and Dynamic Trust Evaluation in Online Social Networks", 2019.1-2021.12

Selected Publications

R. Xu, G. Liu, Y. Wang, X. Zhang, K. Zheng, and X. Zhou, Intent-based Trust Evaluation, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 38, Issue 1, January 2026
R. Xu, Z. Qiu, P. Ding, J. Wu, Y. Wang, A. Beheshti and G. Liu, MARCH: Multi-Teacher Contrastive Hypergraph Distillation, WWW 2026.
Y. Liu, G. Liu, Q. Ma, Z. Li, L. Zhao and A. Liu, GPE: Global Position Embedding for Trajectory Similarity Computation, KDD 2025.
R. Xu, G. Liu, Y. Wang, X. Zhang, K. Zheng and X. Zhou, Adaptive Hypergraph Network for Trust Prediction, ICDE 2024.
P. Ding, G. Liu, Y. Wang, K. Zheng, and X. Zhou, MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery, IEEE Transactions on Knowledge and Data Engineering (TKDE),Vol. 15, pp. 2243-2257, March 2023.
G. Sun, G. Liu, Y. Wang, M. A Orgun, and X. Zhou, Incremental Graph Pattern Based Node Matching, ICDE 2018.
G. Liu, K. Zheng, Y. Wang, M. A. Orgun, A. Liu, L. Zhao and X. Zhou, Multi-Constrained Graph Pattern Matching in Large-Scale Contextual Social Graphs, ICDE 2015.
G. Liu, Y. Wang, M. A. Orgun, and E. P. Lim, Finding the Optimal Social Trust Path for the Selection of Trustworthy Service Providers in Complex Social Networks, IEEE Transactions on Services Computing (TSC), Volume 6, Issue 2, 2013.
G. Liu and Y. Wang, Social Context-Aware Trust Network Discovery in Complex Contextual Social Networks, AAAI 2012.
G. Liu, Y. Wang and M. A. Orgun, Trust Transitivity in Complex Social Networks, AAAI 2011.

Working and Visiting

Associate Professor, Macquarie University, Sydney, Australia, January 2025 - now
Senior Lecturer, Macquarie University, Sydney, Australia, January 2022 - December 2024
Lecturer/Assistant Professor, Macquarie University, Sydney, Australia, June 2018 - December 2021
Associate Professor, Soochow University, China, October 2013 - June 2017

Teaching

Data Science II, Macquarie University, S2 2022 (for Optus, Lecturer)
Data Science, Macquarie University, 2022-2024 (for Postgraduate Students, Lecturer)
Mining Unstructured Data, Macquarie University, 2020-2023 (for Postgraduate Students, Unit Convenor and Lecturer)
Big Data, Macquarie University, 2019-2025 (for Postgraduate Students, Unit Convenor and Lecturer)
Introduction to Systems Design and Data Management, Macquarie University, S1 2019, 2020, 2021 (for Undergraduate Students, Lecturer)
Advanced System and Network Security, Macquarie University, S2 2018 (for Postgraduate Students, Lecturer)
Enterprise Systems Integration, Macquarie University, S2 2018, S2 2019 (for Undergraduate Students, Lecturer)
Advanced Technology for High Dimensional Data, The University of Queensland, S1 2018 (for Postgraduate Students, Course Coordinator and Lecturer)
Information Retrieval and Web Search, The University of Queensland, S2 2017 (for Postgraduate Students, Course Coordinator and Lecturer)
Database System Concepts, Soochow University, S1 2015, 2017 (Lecturer)
Advanced Database Technology, Soochow University, 2014-2016 (Lecturer)
Web Information Development, Soochow University, S1 2014 (Lecturer)
Web Technology, Macquarie University, 2013 (Lecturer)
Applications Modelling and Development, Macquarie University, 2010 (Lecturer)

Professional Services

Co-EIC, EAI Endorsed Transactions on Cloud Systems, EUDL, Since 2020.
Associate Editor, Cureus Journal of AI Augmented Research, Since 2026.
Editorial Board, Scientific Report, Since 2025.
Associate Editor, Human-centric Computing and Information Sciences (HCIS), Since 2021.
Associate Editor, Frontiers in Big Data, Frontiers, Since 2018.
Editorial Board, Computer, Materials & Continua (CMC), Tech Science Press, Since 2024.
Editorial Board, Electronics, MDPI, Since 2021.
Steering Committee Member, Special Session of Private, Secure, and Trust Data Analytics.
General Co-Chair, The 9th EAI International Conference on Cloud Computing (CloudComp2019), 4-5 December, 2019, Sydney, NSW, Australia.
General Co-Chair, The International Workshop on Web Information Systems in the Era of AI in conjunction with WISE 2019, 26-30 November, 2019, Hong Kong, China.
Guest Editor: Computers, Materials & Continua, Current Genomics, Applied Sciences, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI, Q1), World Wide Web Journal (Q1), Complexity (Q1), Journal of Database Management.
PC Co-Chair, The 3rd International Workshop on Privacy, Security, and Trust in Computational Intelligence (PSTCI2021), in conjunction with CIKM2021, Gold Coast, Queensland, Australia, 1-5, November, 2021.
PC Co-Chair, Australasian Web Conference 2020 (AWC2020), 2-7 February, 2020, Melbourne, VIC, Australia.
PC Co-Chair, Australasian Web Conference 2019 (AWC2019), 29-31 January, 2019, Sydney, NSW, Australia.
PC Co-Chair, The First Internal Workshops on Knowledge Acquisition, Representation and Management (KARM 2017) in conjunction with WISE2017, Moscow, Russia, 7-11 October, 2017.
PC Co-Chair, The Second International Workshop on Big Data Management and Service (BDMS2015) in conjunction with DASFAA2015, Hanoi, Vietnam, 20-23 April, 2015.
Area Chair: KDD2025, KDD2026
Panel Discussion Chair: ADMA2024
Special Session Chair: ADMA2026, DSAA2020
Publication Chair: APWeb2014, APWeb2016, BESC2016
Publicity Chair: ADC2024, ATC2013, ATC2014
(Senior) PC Member: IJCAI, WWW, WSDM, KDD, SIGIR, CIKM, RecSys, AAAI