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A clinical psychologist trained in psychoanalytic psychotherapy with many years of clinical experience, with interest in the understanding of psychosomatic relationships as they appear in clinical practice, and with interest in the understanding of the therapeutic relationship as instance of change, particularly in the treatment of children and young people. This translates into an interest in researching the psychotherapy process with a tendency toward the use of qualitative or mixed methods.

I am a Research Fellow in the Institute of Social Science Research at The University of Queensland.

My research interests coalesce around issues of social justice within organisations. I am particularly curious about how the way we perceive others informs our treatment of one and other in the workplace. I spend a lot of my time exploring this idea in the context of leadership. For example, collaborators and I have been working with industry professionals in Australia and North America to understand what organisational structures inhibit minority leaders' (e.g., women, racially diverse) progression and retention. We've also been investigating possible disrupters that may serve to improve minority leaders' chances of success in leadership roles.

I also spend a lot of time on applied research problems through partnering with industry to examine the effectiveness of practical initiatives or policy shifts. Recently, we've been working on understanding the supportive mechanisms that enhance boat safety in Northern Australia, while another partnership has focused on understanding how novel bail support programs can be enhanced to support young people to meet their youth justice orders.

I received my BPsycSc and MPsyOrg from UQ Psychology before completing a PhD in Leadership / Organisational Behaviour at UQ Business School. In 2019 I moved to The University of Illinois for a postdoctoral fellowship before joining the Institute of Social Science Research in 2021.

I am also an Organisational Psychologist and consult with industry on people focused challenges. I partner with business leaders and people managers to develop and implement evidence based actions and strategies.

I work with collaborators in Australia and North America, and I have the good fortune of supporting several RHD candidates at present.

I am a postdoctoral fellow at the University of Queensland working on a project co-supervised with Prof Diana Fisher. My background is in macroevolution and macroecology, phylogenetic inference and comparative methods and incorporating evolutionary history into conservation planning. I completed my PhD at the University of Cambridge in 2023 before working as a researcher at the Australian National University and as a quantitative ecologist in local government. In my current role I will be using comparative methods and quantitative modelling to investigate the evolutionary drivers of semelparity in animals.

Dr Liu Ye is is a Professor at The University of Queensland (UQ) in the School of Chemical Engineering. She is a Fellow of the Royal Society of Chemistry (RSC) and a Fellow of International Water Association (IWA). Dr Ye’s research is focused on sustainable environmental engineering and is dedicated to finding innovative and practical solutions to tackle challenges in achieving net zero emissions, climate resilience, and sustainability. She is the Greenhouse Gas (GHG) research program leader at UQ urban water engineering. She has an established national and international leadership in the research field of net-zero emissions from urban wastewater systems. Prof Ye has been awarded over AU$10M competitive research funding and has a broad research collaboration within academia and industry. She collaborated extensively with water industry partners (> 15, both Australia and overseas water utilities), Australian state Government, Industry peak bodies (Water Services Association of Australia (WSAA), Water Research Australia (WarterRA)) and Technology companies (e.g., Jacob, Suez, Veolia). She has also received more than eight scientific awards (including Research Innovation Award from Australia Water Association, UQ Foundation Research Excellence Award, etc.), and the EAIT faculty teaching excellence award. She is an elected member in the Strategic Council of IWA and also a member of the Australia Association for Engineering Education (AAEE) and Engineers Australia (EA). She current servers as the Associate editor of Environmental Science: Water Research and Technology and in the Editorial board of Engineering journal.

Research:

Liu’s research includes greenhouse gas (GHG) emissions and mitigation from biological wastewater treatment processes; sludge minimization and biogas production enhancement; advanced biological nutrient removal (BNR) technology development; on-line process control and optimisation and resource recovery from wastes.

Teaching and Learning:

CHEE2020: Process Equipment and Control (Coordinator and Lecturer);

ENGG1100: Professional Engineering (Lecturer);

CHEE2501: Environmental Systems Engineering I: Processes (Lecturer);

CHEE4012: Industrial Wastewater & Solid Waste Management (Lecturer);

CHEE4007/4027 CHEE7340/7380/7382 : Thesis project;

Nan Ye's research interest spans machine learning, statistics and optimization. He has published papers on topics including sequential decision making under uncertainty, weakly supervised learning, probabilistic graphical models, statistical learning theory, in venues such as NeurIPS, ICML, ICLR, UAI, JAIR, JMLR. He received an IJCAI-JAIR Best Paper Prize in 2022, and a UAI Best Student Paper Award in 2014.

He is a Lecturer in Statistics and Data Science in the School of Mathematics and Physics in University of Queensland. He previously held postdoc positions at QUT and UC Berkeley from 2015 to 2018, and at NUS from 2013 to 2014. He obtained his PhD in Computer Science from NUS, and completed double first-class honors in Computer Science and Applied Mathematics, also from NUS.

Please visit his personal webpage for more information: https://yenan.github.io/.

Dr Loic Yengo is a Professor of Statistical Genomics at The University of Queensland (UQ) and Group Leader of the Statistical Genomics Laboratory within UQ’s Institute for Molecular Bioscience. He was awarded a prestigious Snow Medical Research Fellowship in 2024 to dramatically advance the use of genomics to prevent chronic disease such as type 2 diabetes, heart disease and Alzheimer’s, with a particular focus on increasing participation of people with diverse ancestries. After completing a PhD in applied mathematics and statistics at the University of Lille (France) in 2014, he joined UQ in 2016 for postdoctoral training in Quantitative and Statistical Genetics. Loic started his own lab in 2020 to investigate the causes and consequences of genetic variation within and between human populations. His group develops and applies novel statistical methods to analyse large volumes of genomic data. Loic’s research has contributed to improving understanding of the genetic and phenotypic consequences of non-random mating (inbreeding and assortative mating) in human populations and has led to identifying novel genetic variants associated with complex traits and diseases. Loic was named among the top 40 rising stars of research by The Australian newspaper in 2021 and received the UQ Foundation research excellence award the same year. Loic is the 2022 recipient of the Ruth Stephens Gani Medal of the Australian Academy of Science recognizing outstanding contributions to research in human genetics, and was named in Nature Medicine’s 2022 Yearbook among 11 early-career researchers “to watch”.

In 2024, he was the recipient of the American Society of Human Genetics Early Career Award and a Snow Medical Research Foundation Fellowship to accelerate the deployment of genomic risk prediction in the clinic and improve the benefit of genomic medicine in all populations.

Unzile holds a PhD in Mineral Processing Engineering from Istanbul Technical University and has broad experience across academia and industry. Before joining UQ, she worked as a Senior Metallurgist and Continuous Improvement Manager at a copper concentrator in Turkey, where she successfully led projects on circuit optimisation and reagent selection, marked ball wear testing, installation of Eh probes, and controlled air injection systems to address low sulphide mineral recovery. At UQ, Dr Yenial Arslan contributes to industry-focused research integrating geological data, surface reactivity, and flotation chemistry. Her current work includes studying induced polarisation techniques for geometallurgical characterisation, surface treatment of reactive minerals, and fluidised-bed flotation for coarse particle recovery. She has published in leading journals such as Minerals and Minerals Engineering, with notable works on pyrite texture, oxidation, and flotation performance. Dr Yenial Arslan aims to advance sustainable and efficient mineral processing technologies by bridging the fields of mineralogy, chemistry, and process engineering.

I have a multidisciplinary background in chemical and civil engineering, chemistry and materials science. Currently, I am the UQ leader of the National Centre for Timber Durability and Design Life, based at USC. I apply my expertise to understand the effects of fungal decay and moisture intrusion in timber connections, as well as the improvement of the fire performance of timber. I supervise 6 PhD students.

Mehmet Yildirimoglu is a Senior Lecturer of Transport Engineering at the School of Civil Engineering. Mehmet received his B.Sc. degree in civil engineering from the Middle East Technical University (METU) in 2009, M.Sc. degree in civil engineering from the Rutgers University in 2011 and Ph.D. degree in civil engineering from École Polytechnique Fédérale de Lausanne (EPFL) in 2015. Prior to joining the School of Civil Engineering at the University of Queensland in 2016, he was a Postdoctoral researcher at EPFL, Switzerland. His research revolves around large-scale traffic modeling, dynamic traffic assignment, data mining techniques and real-time traffic management.

Dr Tesfa Yimer is a Postdoctoral Research Fellow at National Centre for Youth Substance Use Research, The University of Queensland. Tesfa’s PhD was on mental health systems in low resource settings, particularly focusing on depression and alcohol use disorder. His research interest is on drug policy, addiction and mental health epidemiology.

Prof. Hongzhi Yin works as an ARC Future Fellow and Professor and director of the Responsible Big Data Intelligence Lab (RBDI) at The University of Queensland, Australia. He has made notable contributions to recommendation systems, structured foundation model, spatial-temporal prediction, LLM and ChatBI, and decentralized and edge intelligence. He has received numerous awards and recognition for his research achievements. He has been named to IEEE Computer Society’s AI’s 10 to Watch 2022 and Field Leader of Data Mining & Analysis in The Australian's Research 2020 magazine. In addition, he has received the prestigious 2023 Young Tall Poppy Science Awards, Australian Research Council Future Fellowship 2021, the Discovery Early Career Researcher Award 2016, UQ Foundation Research Excellence Award 2019, 2024 and 2025 Computer Science in Australia Leader Award, AI 2000 Most Influential Scholar Honorable Mention in Data Mining (2022-2025), 2024 and 2025 ScholarGPS Highly Ranked Scholar (top 0.05%). His research has won 8 international and national Best Paper Awards, including Best Student Full Paper Award at CIKM 2024, Best Paper Award - Honorable Mention at WSDM 2023, Best Paper Award at ICDE 2019, Best Student Paper Award at DASFAA 2020, Best Paper Award Nomination at ICDM 2018, ACM Computing Reviews' 21 Annual Best of Computing Notable Books and Articles, Best Paper Award at ADC 2018 and 2016. His Ph.D. thesis won Peking University Outstanding Ph.D. Dissertation Award 2014 and CCF Outstanding Ph.D. Dissertation Award (Nomination) 2014. He has ten conference papers recognized as the Most Influential Papers in Paper Digest, including KDD 2021 and 2013, AAAI 2021, SIGIR 2022, WWW 2023 and 2021, CIKM 2021, 2019, 2016, and 2015. He has published 400 papers with an H-index of 91 (29000+ citations), including 290+ CCF A/CORE A* and 90+ CCF B/CORE A, such as ICML, ICLR, NeurIPS, KDD, SIGIR, WWW, ACL, WSDM, SIGMOD, VLDB, ICDE, AAAI, IJCAI, ACM Multimedia, ECCV, IEEE TKDE, TNNL, VLDB Journal, and ACM TOIS. He has been the leading author (first/co-first author or corresponding author) for 300. He has been an SPC/PC member for many top conferences, such as AAAI, IJCAI, KDD, ICML, ICLR, NeurIPS, SIGIR, WWW, WSDM, VLDB, ICDE, ICDM, and CIKM. He has been serving as Associate Editor/Guest Editor/Editorial Board for Neural Networks (JCR Q1, CCF B, 中科院一区), Science China Information Sciences (JCR Q1, CCF A, 中科院一区), Data Science and Engineering (JCR Q1, 中科院一区), Journal of Computer Science and Technology (JCST, CCF B), Journal of Social Computing, ACM Transactions on Information Systems 2022-2023 (JCR Q1, CCF A, CORE A, 中科院一区), ACM Transactions on Intelligent Systems and Technology 2020-2021 (JCR Q1), Information Systems 2020-2021 (CORE A*), and World Wide Web 2020-2021 and 2017-2018 (CORE A, CCF B). Dr. Yin has also been attracting wide media coverage, such as The Australian, SBS Radio Interviews, UQ News, Sohu.com, Faculty News of EAIT, IEEE Computer Society, ACM Computing Reviews.

I am now looking for highly motivated Ph.D. students. The University of Queensland ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 40 in the QS World University Rankings and 41 in the US News Best Global Universities Rankings. The University of Queensland is the best in Australia according to the Australian Financial Review (AFR), which has now ranked UQ in the #1 position for 2 consecutive years. Please find the following three PhD scholarships.

• https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/advancing-federated-learning-unified-urban-spatio-temporal-predictions (2 positions available for this project)

• https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/building-trustworthy-information-recommendation-system (one position limited to domestic student)

Latest News

1. [20 May 2026] Our ARC Linkage Project 2025 "AI-Powered Design Co-Pilot for Reimagining Australian Single-Family Homes" has been successfully granted and funded.

2. [16 May 2026] We have three research papers accepted by the top conference KDD 2026 Research Track (CORE A*, CCF A, Acceptance Rate ~18%).

   • ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation

   • LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection

   • Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning

3. [12 May 2026] I have been recognised in 2026 Edition of Best Scientists in the field of Computer Science and ranked 42 in Australia on Research.com, a leading academic platform.

4. [8 May 2026] Our research paper "Efficient Prompt Learning for Traffic Forecasting" has been accepted by VLDB Journal (CORE A*, CCF A)

5. [3 April 2026] We have 3 research papers accepted by the top conference SIGIR 2026.

   • Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems

   • ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems

   • ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory

6. [27 March 2026] We have successfully secured the opportunity to host the top-tier conference ICDM 2027 in Brisbane.

7. [24 Feb 2026] We have 3 research papers on ChatBI accepted by the top conferences ICLR 2026 (CORE A*, CCF A) and ICDE 2026 (CORE A*, CCF A).

   • TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding (ICLR 2026)

   • Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards (ICDE 2026)

   • An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data (ICDE 2026)

8. [21 Feb 2026] I’m pleased to join the Organizing Committee of the premier conference WSDM 2027 as the Conference Awards Co-Chair.

9. [18 Feb 2026] I’m pleased to join the Organizing Committee of the data mining flagship conference ADMA 2026 as the PC Co-Chair.

10. [5 Feb 2026] We are organizing a workshop "LLM-UP: LLM-powered User Profiling for Search and Recommendation" at SIGIR 2026.

11. [26 January 2026] We have 3 papers accepted by the top conference ICLR 2026 (CORE A*).

    • TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding

    • Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection

    • TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

12. [20 January 2026] I was invited to serve as Area Chair in the top conference KDD 2026 (CORE A*, CCF A), IJCAI 2026 (CORE A*, CCF A), ARR-ACL 2026 (CORE A*, CCF A) and ICDM 2026 (CORE A*, CCF B).

13. [14 January] We have two research papers accepted by the top conference WWW 2026 (CORE A*, CCF A). Congratulations to Xinyi and Hung.

    • Relational Database Distillation: From Structured Tables to Condensed Graph Data

    • Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection

14. [13 January 2025] We have two research papers recognized as ESI Hot Papers and five research papers recognized as ESI Highly Cited Papers.

    • XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

    • Self-Supervised Learning for Recommender Systems: A Survey

    • Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference

    • Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures

    • Enhancing Social Recommendation With Adversarial Graph Convolutional Networks

15. [19 December 2025] I was invited to serve as Area Chair in the top conference SIGIR 2026 (CORE A*, CCF A) and senior PC member at the top conference ICMR 2026 (CORE A, CCF B).

16. [9 December 2025] I have been recognized as 2025 ScholarGPS Highly Ranked Scholar (top 0.05% of all scholars), #3 in Data Mining, #8 in Information Engineering.

17. [8 November 2025] Our research paper "SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World" was accepted by the top conference AAAI 2026 (CCF A and CORE A*). Congratulations to Jiaqi.

18. [4 November 2025] We have released the first survey on Reasoning-Aware Recommender Systems in the LLM Era.

19. [28 October 2025] My ARC Discovery Project 2026 "Advancing Federated Learning for Unified Urban Spatio-Temporal Predictions" has been successfully granted and funded.

20. [13 October 2025] I was invited to be Area Chair for ACL Rolling Review (ARR).

21. [1 October 2025] I have been recognised in the Stanford/Elsevier Top 2% Scientists List Career Long (2022-2025) and Single Year (2020-2025).

Ming Yong is a Postdoctoral Research Fellow at the UQ Dow Centre for Sustainable Engineering Innovation and the School of Chemical Engineering, University of Queensland, under the mentorship of Prof. Xiwang Zhang since February 2025. He obtained his Ph.D. in Chemical Engineering from Monash University (2021–2025), where he worked under the supervision of Dr. Zhikao Li, Prof. Xiwang Zhang, and Prof. Huanting Wang. At UQ, Ming’s current research focuses on developing high-performance porous membranes for applications in protein purification, lithium recovery, and redox flow batteries.

Emily is an experienced evaluator and policy analyst whose experience is designing, collecting and interpreting high quality evidence to improve outcomes for priority groups. She has deep, strategic knowledge of the Australian public sector, working alongside government agencies to design, implement and evaluate large, complex social policy initiatives.

Emily's motivated by helping her clients to use evaluation and research to understand the people they serve - conumers, service providers, Executive sponsors, advocacy groups - to deliver tailored programs and achieve better outcomes both for people and human service systems.

Her ability to build rapid rapport, synthesise complex information and balance perspectives means she is an in-demand strategic facilitator and trusted advisor to the executives of government agencies.

Her work creates impact because of her ability to connect information and people. She's great at taking complex information and making it simple and easy to action.