Hongzhi Yin

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, the Australian Research Council Future Fellowship 2021, the Discovery Early Career Researcher Award 2016, the UQ Foundation Research Excellence Award 2019, the Rising Star of Science Award (2022-2024), and 2024 Computer Science in Australia Leader Award, AI 2000 Most Influential Scholar Honorable Mention in Data Mining (2022-2024). 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 Paper Digest, including KDD 2021 and 2013, AAAI 2021, SIGIR 2022, WWW 2023 and 2021, CIKM 2021, 2019, 2016, and 2015. He has published over 300 papers with an H-index of 77, including 210+ CCF A/CORE A* and 80+ CCF B/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 200+. 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, Chinese Academy of Sciences ranking Q1, and CCF B), Science China Information Sciences (JCR Q1, Chinese Academy of Sciences ranking Q1, and CCF A), Data Science and Engineering (DSE, JCR Q1, Chinese Academy of Sciences ranking Q2), Journal of Computer Science and Technology (JCST, CCF B), Journal of Social Computing, ACM Transactions on Information Systems 2022-2023 (TOIS, CCF A), ACM Transactions on Intelligent Systems and Technology 2020-2021 (TIST, 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, and 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

1. [23 September 2024] We have three journal papers recognized as ESI Hot and Highly Cited papers.

   • Self-Supervised Learning for Recommender Systems: A Survey (Hot and Highly Cited)

   • XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation (Highly Cited)

   • Enhancing Social Recommendation With Adversarial Graph Convolutional Networks (Highly Cited)

2. [10 September 2024] I have been recognized with the 2024 Rising Star of Science Award in Research.com and ranked #8 in Australia among Rising Stars for 2024.

3. [24 August 2024] Two of my PhD graduates have been awarded the competitive ARC DECRA Fellowship. Congratulations to Weiqing and Junliang.

4. [23 July 2024] Recently, we have released 3 comprehensive survey papers.

   • Graph Condensation: A Survey

   • Poisoning Attacks and Defenses in Recommender Systems: A Survey

   • A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures

5. [2 July 2024] I have been invited to serve as area chair at KDD 2025.

6. [27 June 2024] Our ARC Linkage Project "Building an Aussie Information Recommendation System You Can Trust" has been granted and funded.

7. [16 June 2024] I have been invited to co-chair the User modeling, personalization and recommendation track at The Web Conference 2025.

8. [6 June 2024] Recently, we have released 2 comprehensive survey papers.

   • Poisoning Attacks and Defenses in Recommender Systems: A Survey

   • A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures

9. [23 May 2024] Our project Personalized On-Device Large Language Models was shortlisted as a finalist for the 2024 iAwards.

10. [22 May 2024] Our research paper "Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion" has been accepted by the top journal TOIS 2024 (CORE A and CCF A).

11. [17 May 2024] We have 4 full research research papers accepted by the prestigious conference KDD 2024 (CORE A*, CCF A).

    • Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations

    • Graph Condensation for Open-World Graph Learning

    • Hate Speech Detection with Generalizable Topic-aware Fairness

    • Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

12. [24 April 2024] I have been recognized with 2024 Computer Science in Australia Leader Award in Research.com.

13. [26 March 2024] We have three research papers accepted by the top conference SIGIR 2024 (CORE A*, CCF A).

    • Lightweight Embeddings for Graph Collaborative Filtering

    • Poisoning Decentralized Collaborative Recommender System and Its Countermeasures

    • CaseLink: Inductive Graph Learning for Legal Case Retrieval

14. [14 March 2024] I have again been recognized as the 2024 AI 2000 Most Influential Scholar Honorable Mention in Data Mining.

15. [10 March 2024] We have 8 research papers accepted by the prestigious conference ICDE 2024 (CORE A*, CCF A), including 4 accepted in the first round and 4 in the second round.

    • Hide Your Model: A Parameter Transmission-free Federated Recommender System

    • Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution

    • Open-World Semi-Supervised Learning for Node Classification

    • BIM: Improving Graph Neural Networks with Balanced Influence Maximization

    • Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation

    • Graph Condensation for Inductive Node Representation Learning

    • BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

    • HeteFedRec: Federated Recommender Systems with Model Heterogeneity

16. [13 February 2024] Congratulations to Dr. Junliang Yu, my Ph.D. graduate, on winning the UQ Graduate School 2023 Dean's Award for Outstanding Higher Degree by Research Theses.

17. [11 February 2024] We have 2 research papers directly accepted in the second round of the prestigious conference ICDE 2024 (CORE A*, CCF A). It's noteworthy that out of over 1000 submissions, only 19 were directly accepted.

    • Hide Your Model: A Parameter Transmission-free Federated Recommender System

    • Open-World Semi-Supervised Learning for Node Classification

18. [2 February 2024] We are organizing a special issue, "Cloud-Edge Collaboration for On-Device Recommendation", in the top journal - Science China Information Sciences (CCF Ranking A, CIC Ranking A, CAA Ranking A ), and call for paper is online.

19. [31 January 2024] Our research paper "Personalized Elastic Embedding Learning for On-Device Recommendation" has been accepted by the top journal TKDE 2024 (CORE A* and CCF A).

20. [24 January 2024] We have five research papers and one tutorial accepted by The Web Conference 2024 (CORE A*, CCF A).

    • On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm

    • Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation

    • Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation

    • Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation

    • Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation

    • Challenging Low Homophily in Social Recommendation

21. [23 January 2024] We have released three timely surveys:

    • On-Device Recommender Systems: A Comprehensive Survey

    • Graph Condensation: A Survey

    • Poisoning Attacks against Recommender Systems: A Survey

22. [19 January 2024] I have been invited to serve as Official Nominator for VinFuture Prize (US$3,000,000). The nomination is open!

23. [13 January 2024] I have been invited to serve as Area Chair in the Research Track of KDD 2024.

24. [1 January 2024] I began to serve as Action/Associate Editor for Neural Networks (JCR Q1, Chinese Academy of Sciences ranking Q1, and CCF B), Data Science and Engineering (DSE, JCR Q1, Chinese Academy of Sciences ranking Q2).

25. [1 January 2024] I have been promoted to Professor (Level E) at The University of Queensland.