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. He received his doctoral degree from Peking University in July 2014, and his PhD Thesis won the highly competitive Distinguished Doctor Degree Thesis Award of Peking University. His current main research interests include recommender system, 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 200+ papers, including 15 publications in Top 1% (CNCI), 100+ CCF A and 70+ CCF B, 100+ 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 100+ 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) within his first year of obtaining his PhD, ARC Discovery Project 2019 (Sole CI) as an early-career researcher, 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 a 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 from 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. Multiple PhD scholarships are available now and please find them below.

Latest News

  1. [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.

  2. [22 December 2021] Our ARC LIEF 2022 application "A Secure Smart Sensing and Industry Analytics Facility for Industry 4.0" was successfully granted .

  3. [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).

  4. [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.

  5. [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).

  6. [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*).

  7. [29 September 2021] I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 and INFS7205.

  8. [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).

  9. [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).

  10. [17 August 2021] Our project "Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids" was funded by UQ Cyber Initiative Strategic Research Seed Funding.

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

Featured projects Duration
Big-data analysis
Low energy mobile devices