Researcher biography

A/Prof. Hongzhi Yin works as ARC Future Fellow and associate professor with The University of Queensland, Australia. He was recognized as Field Leader of Data Mining & Analysis in The Australian's Research 2020 magazine and The 2022 AI 2000 Most Influential Scholars. He received his doctoral degree from Peking University in July 2014, and his Ph.D. Thesis won the highly competitive Distinguished Doctor Degree Thesis Award of Peking University. His current main research interests include recommender systems, graph embedding and mining, chatbots, social media analytics and mining, edge machine learning, trustworthy machine learning, decentralized and federated learning, and smart healthcare. He has published 210+ papers with H-index 47, including 15 publications in Top 1% (CNCI), 120 CCF A and 70+ CCF B, 120 CORE A* and 70+ CORE A, such as KDD, SIGIR, WWW, WSDM, SIGMOD, VLDB, ICDE, AAAI, IJCAI, IEEE TKDE and TNNL, VLDB Journal and ACM TOIS. He is the leading author (first author or corresponding author) for 110+ of them. He has won 6 Best Paper Awards such as ICDE'19 Best Paper Award, DASFAA'20 Best Student Paper Award, and ACM Computing Reviews' 21 Annual Best of Computing Notable Books and Articles as well as one invited paper in the special issue of KAIS on the best papers of ICDM 2018. He has received ARC Future Fellowship 2021, ARC Discovery Early Career Researcher Award (DECRA) 2016, ARC Discovery Projects 2019 (Sole CI) and 2017, ARC Linkage Infrastructure, Equipment and Facilities 2022, ARC Industrial Transformation Training Centres 2021, UQ Foundation Research Excellence Award 2019 as the first winner of this award in School of ITEE since the establishment of this award 20 years ago. 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). More information about A/Prof. Yin can be found on his homepage https://sites.google.com/view/hongzhi-yin/home.

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. [20 May 2022] Our work "A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  2. [20 May 2022] Our work "CIRCLE: Continual Repair across Programming Languages " was accepted by The ACM SIGSOFT International Symposium on Software Testing and Analysis 2022 (ISSTA, CCF A, CORE A).

  3. [31 March 2022] We have 4 full research papers on recommender systems accepted by the top conference SIGIR 2022 (CORE A* and CCF A). Congratulations to Junliang, Rocky, Xin and Liang. Here are the papers:

  4. [31 March 2022] We just release two survey papers on recommender systems on arXiv: Self-Supervised Learning for Recommender Systems: A Survey and AutoML for Deep Recommender Systems: A Survey.

  5. [15 March 2022] I was recognized as the 2022 AI 2000 Most Influential Scholars by AMiner.

  6. [14 February 2022] We organize a special issue "Trustworthy Recommendation and Search" in ACM Transactions on Information Systems (TOIS), and call for paper is beginning.

  7. [14 January 2022] We have two papers "ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs" and "Unified Question Generation with Continual Lifelong Learning" accepted by the top conference Web Conference 2022 (WWW'22, CORE A* and CCF A).

  8. [8 January 2022] Our work "DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks" was accepted by the top journal TKDE (CCF A, CORE A*).

  9. [3 January 2022] As the first research output of my Future Fellow Project, our work "Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent" was accepted by the CORE A* journal IEEE Journal of Biomedical and Health Informatics.

  10. [22 December 2021] Our ARC LIEF 2022 application "A Secure Smart Sensing and Industry Analytics Facility for Industry 4.0" was successfully granted .

  11. [20 December 2021] Our tutorial "Self-Supervised Learning in Recommendation: Fundamentals and Advances " was accepted by the top conference - Web Conference 2022 (WWW'22, CORE A* and CCF A).

  12. [24 November 2021] Congratulations to my PhD graduate Dr. Hongxu Chen on UQ Graduate School 2020 Dean's Award for Outstanding Higher Degree by Research Theses.

  13. [12 October 2021] Our two papers "PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion" and "Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation" were accepted by the top conference WSDM 2022 (CORE A* and CCF B).

  14. [5 October 2021] Our paper "Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling" was accepted by IEEE Transactions on Neural Networks and Learning Systems (CORE A*).

  15. [29 September 2021] I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 and INFS7205.

  16. [13 September 2021] Our industry collaboration work "Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs" was accepted by the top journal TKDE(CORE A*, CCF A).

  17. [1 September 2021] Our paper "Fast-adapting and Privacy-preserving Federated Recommender System" was accepted by the top journal VLDB J (CORE A*, CCF A).

  18. [17 August 2021] Our project "Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids" was funded by UQ Cyber Initiative Strategic Research Seed Funding.

  19. [11 August 2021] I was granted ARC Future Fellowship.

  20. [8 August 2021] We have four full and one short papers accepted by the top conference - CIKM 2021 (CCF B and CORE A).

  21. [16 July 2021] Our paper "Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning" was accepted by the leading journal TKDE (Q1, CCF A, CORE A*).

  22. [23 June 2021] We are organizing a workshop on Privacy, Security, and Trust in Computational Intelligence in CIKM 2021, and call for papers is beginning.

  23. [15 June 2021] We are organizing a special track "Trustworthy Recommender Systems" in AJCAI 2021, and call for papers is beginning.

  24. [16 May 2021] We have four research papers accepted by the top conference - KDD 2021 (CCF A and CORE A*)

  25. [29 April 2021] We have two research papers accepted by the top conference - IJCAI 2021 (CCF A and CORE A*)

  26. [15 April 2021] We have four full research papers accepted by the top conference - SIGIR 2021 (CCF A and CORE A*)

  27. [19 March 2021] Our paper "Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation" was accepted by the leading journal - ACM TOIS (Q1, CCF A).

  28. [16 January 2021] We have four research papers accepted by the top conference - The Web Conference 2021 (CCF A and CORE A*).

  29. [5 January 2021] Our paper "FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection" was accepted by the leading health informatics journal - IEEE Journal of Biomedical and Health Informatics (Q1 and CORE A*).

Areas of research