Associate Professor Hongzhi Yin

Researcher biography
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 predictive analytics, recommendation systems, graph learning, social media analytics, 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, Rising Star of Science Award (2023 and 2022), AI 2000 Most Influential Scholar Honorable Mention in Data Mining (2023 and 2022). His research has won 8 international and national Best Paper Awards, including 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 KDD 2021 and 2013, AAAI 2021, SIGIR 2022, WWW 2023 and 2021, CIKM 2021, 2019, 2016, and 2015. He has published 280+ papers with an H-index of 67, including 170+ CCF A and 70+ CCF B, 170+ CORE A* and 70+ CORE A, such as KDD, SIGIR, WWW, 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 180+. 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 is currently serving as Associate Editor/Guest Editor/Editorial Board for ACM Transactions on Information Systems (TOIS), ACM Transactions on Intelligent Systems and Technology (TIST), Information Systems, and World Wide Web, Journal of Computer Science and Technology (JCST), Big Data Networks (specialty section of Frontiers in ICT, Frontiers in Digital Humanities, Frontiers in Big Data and Frontiers in Computer Science), Springer Nature Computer Science, Information, and International Journal of Software and Informatics (IJSI). Dr. Yin has also been attracting wide media coverage, such as The Australian, Edge Impulse, SBS Radio Interviews, UQ News, Sohu.com, Faculty News of EAIT, IEEE Computer Society, ACM Computing Reviews.
Dr. Hongzhi Yin is looking for highly motivated and high-quality 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 47 in the QS World University Rankings, 52 in the US News Best Global Universities Rankings, 60 in the Times Higher Education World University Rankings, and 55 in the Academic Ranking of World Universities.
Latest News
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[1 December 2023] We have four research papers accepted by the top conference ICDE 2024 1st Round (CORE A*, CCF A).
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Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
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Graph Condensation for Inductive Node Representation Learning
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BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
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HeteFedRec: Federated Recommender Systems with Model Heterogeneity
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[30 October 2023] Our ARC DP 2024 application, titled "Privacy-Aware and Personalised Explanation Overlays for Recommender Systems", has been granted and funded.
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[20 October 2023] We have three research papers accepted as ORAL by the top conference WSDM 2024.
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[17 October 2023] Our research paper "Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation" has been accepted by the top conference ICDE 2024 (CORE A* and CCF A).
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[16 October 2023] Our research paper "Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures" has been accepted by the top journal TOIS (CORE A and CCF A).
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[1 October 2023] Our research paper "Variational Counterfactual Prediction under Runtime Domain Corruption" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).
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[6 September 2023] I was invited to serve as Senior PC for PAKDD 2024 and DASFAA 2024.
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[6 September 2023] We have two papers accepted by the top conference ICDM 2023 (Acceptance Rate 9.73% for Regular Papers).
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[6 August 2023] I have been recognized as one of 2023 Young Tall Poppy Science Award winners.
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[5 August 2023] We have four research papers accepted by the top conference CIKM 2023.
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Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
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Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
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Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
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Causality-guided Graph Learning for Session-based Recommendation
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[24 July 2023] I was invited to serve as an Area Chair (AC) for the User Modeling and Recommendation track of The Web Conference 2024.
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[24 July 2023] We have two TKDE papers recognized as ESI Highly Cited Papers.
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[12 July 2023] Our research paper "Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).
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[22 June 2023] Congratulations to my Ph.D. graduates Dr. Shijie Zhang and Dr. Qinyong Wang on winning UQ Graduate School 2022 and 2021 Dean's Award for Outstanding Higher Degree by Research Theses.
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[20 June 2023] Congratulations to my Ph.D. student Dr. Junliang Yu on achieving his Ph.D. from The University of Queensland.
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[19 June 2023] Our research paper "XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).
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[2 June 2023] Our research paper "Self-Supervised Learning for Recommender Systems: A Survey" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).
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[18 May 2023] I was invited to be an SPC for the top conference CIKM 2023.
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[17 May 2023] Our research paper "Efficient Bi-Level Optimization for Recommendation Denoising" was accepted by the top conference KDD 2023 Research Track (CORE A* and CCF A).
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[4 May 2023] I am excited to receive the prestigious "AI's 10 to Watch" award from the IEEE Computer Society, IEEE Intelligent Systems.
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[2 May 2023] Our research paper "KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment" was accepted by the top conference ACL 2023 (CCF A and CORE A*). Congratulations to Lingzhi!
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[20 April 2023] Our research paper "Imbalanced Node Classification Beyond Homophilic Assumption" was accepted by the top conference IJCAI 2023 (CCF A and CORE A*). Congratulations to Jie Liu!
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[10 April 2023] I was invited to give a speech on the public webinar "Application and Future Challenges of ChatGPT " by the editorial office of Human-Centric Intelligent Systems.
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[6 April 2023] We have four full research papers accepted by the top conference SIGIR 2023 (CCF A and CORE A*) . Congratulations to the Ph.D. students Wei Yuan, Jing Long, Yunke Qu, and Shangfei Zheng.
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[8 March 2023] Our research paper "TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT" has been accepted by the highly impacted journal - IEEE Transactions on Industrial Informatics (JCR Q1). Congratulations to Yuting.
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[2 March 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has won "Best Paper Award - Honorable Mention" at WSDM 2023.
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[1 March 2023] We organize a special issue on Graph Representation Learning for Feature Extraction and Signal Processing in CAAI Transactions on Intelligence Technology (JCR Q1), calling for papers.
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[18 Feb 2023] Our research work "Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation" was accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2023 (CORE A* and Q1). Congratulations to Guanhua.
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[15 Feb 2023] Our research work "Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution" was accepted by TKDE 2023 (CORE A* and CCF A).
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[27 January 2023] I was invited to join the Doctoral Consortium Committee of WSDM 2023 as a Mentor.
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[26 January 2023] We have 2 research papers accepted by The Web Conference 2023 (CCF A and CORE A*). Congratulations to the first authors Wei Yuan and Liang Qu.
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[9 January 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has been shortlisted for the Best Paper Award (BPA) for WSDM 2023, and there are only four BPA candidate papers.
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[6 January 2023] Our research paper "Efficient On-Device Session-Based Recommendation" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).
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[3 January 2023] Our social computing work "Self-supervised Hypergraph Representation Learning for Sociological Analysis" was accepted by the top journal TKDE (CORE A* and CCF A).