Researcher biography

A/Prof. Hongzhi Yin works as an 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 160+ papers, including 15 publications in Top 1% (CNCI), 42 Q1, 90+ CCF A and 50+ CCF B, 90+ CORE A* and 50+ CORE A, such as KDD (x15), IEEE TKDE (x11), ICDE (x19), VLDB (x5), SIGIR (x10), ACM TOIS (x10), IJCAI (x6), AAAI (x4), VLDB Journal (x2), ICDM (x3), ACM Multimedia (x2), WSDM (x4), WWW (x6), JBHI (x2), SIGMOD, TIP. He is the leading author (first author or corresponding author) for 95+ of them. He has won 6 Best Paper Awards such as ICDE'19 Best Paper Award, DASFAA'20 Best Student Paper Award, and 21st ACM Annual Best of Computing Article as the first author. He has received 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 is currently serving as Associate Editor for Springer Nature Computer Science, Editorial Board of Journal of Computer Science and Technology (JCST), Information, and International Journal of Software and Informatics (IJSI), Guest Editors of ACM Transactions on Intelligent Systems and Technology, Information Systems, and World Wide Web. 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, and highly competitive full scholarship can be provided. Read how to apply. The research directions are not limited to the listed above. Welcome to contacting him for details. 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.

Featured projects Duration
Big-data analysis
Low energy mobile devices