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Dr. Hongzhi Yin (阴红志)
Senior Lecturer (Tenured Position), ARC DECRA Fellow
Deputy Program Director of Master of Computer Science (Management)
School of Information Technology and Electrical Engineering (ITEE)
The University of Queensland, Australia
St Lucia Campus, Brisbane QLD 4072, Australia

Office: Room 639, Building 78, St Lucia Campus
Email: db.hongzhi[at]gmail.com
Tel: +61-(07)336 54739



Dr. Hongzhi Yin works as a senior lecturer and an ARC DECRA Fellow (Australia Discovery Early Career Researcher Award) with The University of Queensland, Australia. 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. During his graduate program, he worked at Institute of Network Computer and Information System, EECS, Peking University, under the supervision of Prof. Bin Cui. From March 2013 to December 2014, he worked as a visiting researcher at QCIS:UTS, under the supervision of Prof. Chengqi Zhang and Dr. Ling Chen.  From June 2012 to December 2012, he worked as a research intern in  Microsoft Research Asia (MSRA)  and his mentor was Prof. Jirong Wen. His current main research interests include user behavior modeling, user profiling,  recommender system, especially spatial-temporal recommendation, user linkage across social networks, network embedding, knowledge graph mining and construction, chatbots, topic discovery and event detection, deep learning.  He has published 90 papers and won 4 Best Paper Awards and ACM Annual Best of Computing Award as the main author, and most of them has been published in reputed journals and top international conferences including  VLDB Journal, ACM TOIS, IEEE TKDE, ACM TKDD,ACM TIST, ACM SIGMOD, ACM SIGKDD, VLDB, IEEE ICDE, AAAI, IJCAI, SIGIR, WWW, ICDM, ACM Multimedia and CIKM. He has been actively engaged in professional services by serving as conference organizers, conference PC member for PVLDB, SIGIR, ICDE, IJCAI, ICDM, CIKM, DASFAA, ASONAM, MDM, WISE, PAKDD and reviewer of more than 10 reputed journals such as VLDB Journal, TKDE, TOIS, TKDD, TWeb, IEEE Transactions on Cybernetics, WWW Journal, Knowledge-based system and etc.  


For Prospective Students
    I am now looking for highly motivated Ph.D. students, research assistants, interns and visitors, and highly competitive scholarship and salary can be provided. Read more for related information. The research directions are not limited to the listed above. Welcome to contacting me 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.


What's New
  • [7 December 2018] I have been successfully promoted to senior lecturer.
  • [4 December 2018] Our paper "Personalized Video Recommendation Using Rich Contents from Videos" is accepted by the top data minning and database journal IEEE Transaction on Knowledge and Data Engineering (TKDE).
  • [29 November 2018] Our ICDM'18 paper "TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction" is selected as one of the best papers for possible publication in Knowledge and Information Systems.
  • [28 November 2018] I receive an ARC Discovery Project Grant as the sole CI (DP 19).
  • [20 November 2018] Our paper "Spatiotemporal Representation Learning for Translation-based POI Recommendation" is accepted by the top information retrieval journal ACM Transaction on Information Systems (TOIS, CCF A, ERA A).
  • [10 September 2018] We will organize an International Workshop on Recommender Systems with Big Data in conjunction with ICDE 2019, and are now calling for papers.
  • [18 August 2018] We have 3 full research papers accepted by ICDM'18, ACM MM'18 and CIKM'18.
  • [25 May 2018] Our paper "TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation" wins the best paper award in the 2018 Australian Database Conference (ADC'18).
  • [18 May 2018] Our paper "Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection" wins the best paper award in the Workshop of PAKDD'18 on Big Data Analytics for Social Computing.
  • [6 May 2018]We have four research papers accepted by the top conference KDD'18 (CCF A, CORE A*).
  • [12 April 2018]We have one full research paper accepted by the top conference SIGIR'18 (CCF A, CORE A*).
  • [20 February 2018]We have three full research papers accepted by the top conference ICDE'18 (CCF A, CORE A*).
  • [19 February 2018]We have five research papers accepted by the top conference Dasfaa'18 (CCF B).
  • [13 October 2017]We launch a special section on Recommender Systems with Big Data in Journal of Computer Science and Technology. (Call for Papers).
  • [14 August 2017] Welcome to downloading our KDD'17 tutorial "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions".
  • [6 July 2017] Our article "Joint modeling of user check-in behaviors for real-time point-of-interest recommendation" is selected as 21st Annual Best of Computing by Computing Reviews.
  • [28 September 2016] Our paper "Using Detected Visual Objects to Index Video Database" wins the best paper award in the 2016 Australian Database Conference (ADC'16).
  • [7 June 2017]ADMA 2017 Call for Paper.
  • [27 April 2017]We launch a special issue on Geo-Social Computing in WWWJ. (Call for Papers).
  • [23 April 2017]Our paper "Retaining data from streams of social platforms with minimal regret" is accepted by IJCAI 2017.
  • [10 April 2017]Our tutorial "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions" is accepted by KDD2017.
  • [8 Feb 2017]Our tutorial "Recommendation in Context-Rich Environment:An Information Network Analysis Approach" is accepted by WWW2017.
  • [29 November 2016]We will hold the 1st International Workshop on Social Computing (IWSC) together with WWW 2017 on the sunny shores of Perth, Western Australia. Call for papers.
  • [11 November 2016]Our paper "An Integrated Model for Effective Saliency Prediction" is accepted by AAAI-17.
  • [1 November 2016] We receive an ARC Discovery Project Grant (DP 17).
  • [26 October 2016] Our CIKM'16 paper "Learning Graph-based POI Embedding for Location-based Recommendation" is ranked as No. 1 in the top liked paper list
  • [21 October 2016]Our paper "ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation" is accepted by ACM Transactions on Intelligent Systems and Technology (TIST).
  • [28 September 2016] Our paper "Using Detected Visual Objects to Index Video Database" wins the best paper award in the 2016 Australian Database Conference (ADC'16).
  • [26 June 2016] Our paper "Adapting to User Interest Drift for POI Recommendation" is accepted by TKDE.
  • [9 May 2016] Our scholar book "Spatio-Temporal Recommendation in Social Media" is published by Springer.


Research Interests
  • Recommender System and User Modeling
  • Deep Learning and Topic Model
  • Sentiment Analysis
  • Spatial Database and Data Mining
  • Text Mining and Information Retrieval
  • Social Media/Multimedia Mining and Location-based Social Network Analysis


Research Grants
  • ARC Discovery Projects (DP), "Challenging Big Data for Scalable, Robust and Real-time Recommendations" (The Sole Chief Investigator .No. DP190101985), 2019-2011
  • New Staff Research Start-up Funds, "Intelligent Social Event-Partner Recommendation System" (The Sole Chief Investigator), 2017. July-2018. July
  • ARC Discovery Projects (DP), "Monitoring Social Events for User Online Behaviour Analytics" (The Chief Investigator .No. DP170103954), 2017-2019
  • Industry Consulting Project from One-stop Warehouse, "Intelligent Sales and Supply-Chain Data Analytics", 2018.
  • ARC Discovery Early Career Researcher Award (DECRA), "Mobile User Modelling for Intelligent Recommendation" (The Sole Chief Investigator .No. DE160100308), 2016-2018


Books (Google Scholar)
  1. Hongzhi Yin*, Bin Cui. "Spatio-Temporal Recommendation in Social Media". Springer, ISBN: 978-981-10-0747-7.2016.
Book Chapters (Google Scholar)
  1. Hongzhi Yin*, Bin Cui, Xiaofang Zhou. "Spatio-Temporal Recommendation in Geo-Social Networks" in Reda Alhajj and Jon Rokne (eds), "Encyclopedia of Social Network Analysis and Mining". Springer, 2018.
  2. Weiqing Wang, Hongzhi Yin*. "Spatio-temporal Recommendation with Big Geo-social Networking Data", Chapter 24 in "Big Data Recommender Systems: Recent Trends and Advances". The Institution of Engineering and Technology, accepted in April 2018.
Journal Papers (Google Scholar. * means the corresponding author.)
  1. Xingdong Du, Hongzhi Yin*, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou. "Personalized Video Recommendation Using Rich Contents from Videos". IEEE Transaction on Knowledge and Data Engineering. 2019. (TKDE'19). (Corresponding author,CCF Rank A,ERA Rank A, Code Download)
  2. Tieyun Qian, Bei Liu, Nguyen Quoc Viet Hung, Hongzhi Yin*. "Spatiotemporal Representation Learning for Translation-based POI Recommendation". ACM Transaction on Information Systems. 2019. (TOIS'19). (Corresponding author and having equal contribution with the first author, CCF Rank A, ERA Rank A)
  3. Hongzhi Yin*, Weiqing Wang, Liang Chen, Xingzhong Du, Nguyen Quoc Viet Hung, Zi Huang. "Mobi-SAGE-RS: A Sparse Additive Generative Model-based Mobile Application Recommender System". Knowledge-Based Systems. 2018. (KBS'18).(中科院二区顶级期刊, Impact Factor: 4.6. )
  4. Weiqing Wang, Hongzhi Yin*, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou. "TPM: A Temporal Personalized Model for Spatial Item Recommendation". ACM Transactions on Intelligent Systems and Technology. 2018. (TIST'18).(中科院一区顶级期刊, 5-year Impact Factor: 10.47. The first author was supervised by Hongzhi Yin.)
  5. Nguyen Quoc Viet Hung, Huynh Huu Viet, Nguyen Thanh Tam, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou. "Computing Crowd Consensus with Partial Agreement". IEEE Transaction on Knowledge and Data Engineering. 2018. (TKDE'18). (CCF Rank A,ERA Rank A)
  6. Yongjun Li, You Peng, Zhen Zhang, Mingjie Wu, Quanqing Xu, Hongzhi Yin. "A Deep Dive into User Display Names across social networks". Information Science. 2018. (CCF Rank B, Impact Factor: 4.832)
  7. Yaqing Wang, Chunyan Feng, Ling Chen, Hongzhi Yin, Caili Guo, Yunfei Chu. "User Identity Linkage across Social Networks via Linked Heterogeneous Network Embedding". World Wide Web Journal (WWWJ), 2018. (CCF Rank B, ERA Rank A.)
  8. Yongjun Li, Zhen Zhang, Quanqing Xu, You Peng, Hongzhi Yin. "Matching User Accounts based on User Generated Content across Social Networks".Future Generation Computer Systems. 2018. (Impact Factor: 4.0)
  9. Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung . "Leveraging Multi-aspect Time-related Influence in Location Recommendation". World Wide Web Journal (WWWJ), 2018. (CCF Rank B, ERA Rank A.)
  10. Yongjun Li, You Peng, Zhen Zhang, You Peng, Hongzhi Yin, Quanqing Xu . "Matching user accounts across social network based on username and display name". World Wide Web Journal (WWWJ), 2018. (CCF Rank B, ERA Rank A.)
  11. Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali. "Layered Convolutional Dictionary Learning for Sparse Coding Itemset". World Wide Web Journal (WWWJ), 2018. (CCF Rank B, ERA Rank A. The first author is supervised by Dr. Hongzhi Yin)
  12. Hongzhi Yin*, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou. "Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation". IEEE Transaction on Knowledge and Data Engineering. 2017. (TKDE'17). (CCF Rank A,ERA Rank A, Codes Download)
  13. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam, Matthias Weidlich, Karl Aberer, Hongzhi Yin*, Xiaofang Zhou. "Answer validation for generic crowdsourcing tasks with minimal efforts". VLDB Journal. 2017. (VLDBJ'17). (CCF Rank A,ERA Rank A*)
  14. Weiqing Wang, Hongzhi Yin*, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou. "ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation". ACM Transactions on Intelligent Systems and Technology. 2017. (TIST'17). (中科院一区顶级期刊, 5-year Impact Factor: 10.47. The first author was supervised by Hongzhi Yin.)
  15. Nguyen Quoc Viet Hung, Duong Chi Thang, Nguyen Thanh Tam, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou. "Argument Discovery via Crowdsourcing". VLDB Journal. 2017. (VLDBJ'17). (CCF Rank A,CORE Rank A*)
  16. Xingzhong Du, Hongzhi Yin*, Zi Huang, Yi Yang, Xiaofang Zhou. "Exploiting Detected Visual Objects for Frame-level Video Filtering". World Wide Web Journal (WWWJ), Accepted in October, 2017. (CCF Rank B, ERA Rank A. The first author is supervised by Dr. Hongzhi Yin)
  17. Hongzhi Yin*, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia Sadiq. "Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation". ACM Transaction on Information Systems. 2016. (TOIS'16). (CCF Rank A,ERA Rank A)
  18. Hongzhi Yin*, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Quoc Viet Hung Nguyen. Adapting to User Interest Drift for POI Recommendation". IEEE Transaction on Knowledge and Data Engineering. 2016. (TKDE'16). (CCF Rank A,ERA Rank A, Codes Download)
  19. Tieke He, Hongzhi Yin*, Zhenyu Chen, Xiaofang Zhou, Shazia Sadiq, Bin Luo. "A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs". ACM Transactions on Intelligent Systems and Technology. 2016. (TIST'16). (中科院一区顶级期刊, 5-year Impact Factor: 10.47. The first author was supervised by Hongzhi Yin when he finished the paper.)
  20. Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu. "Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion " . World Wide Web Journal (WWWJ), 2016. (CCF Rank B, ERA Rank A.)
  21. Hongzhi Yin*, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou. "Dynamic User Modeling in Social Media Systems". ACM Transaction on Information Systems. 2015. (TOIS, SCI, CCF Rank A)
  22. Hongzhi Yin*, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang. "Modeling Location-based User Rating Profiles for Personalized Recommendation". ACM Trans. Knowl. Discov. Data. 2015. (TKDD, SCI, CCF Rank B, Code Download)
  23. Hongzhi Yin*, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen. "LCARS: A Spatial Item Recommender System". ACM Transaction on Information Systems. 2014. (TOIS, SCI, CCF Rank A)
Conference Papers (Google Scholar. * means the corresponding author.)
  1. Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao and Rui Yan. Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA. January, 2019. (CCF Rank A, CORE Rank A*, Student Poster).
  2. Qinyong Wang, Hongzhi Yin*, Zhiting Hu, Defu Lian, Hao Wang and Zi Huang. "Neural Memory Streaming Recommender Networks with Adversarial Training". 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom. August, 2018. (CCF Rank A, CORE Rank A*, Codes Download. The first author is supervised by Dr. Hongzhi Yin).
  3. Hongxu Chen, Hongzhi Yin*, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li. "PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction". 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom. August, 2018. (CCF Rank A, CORE Rank A*, Codes Download. The first author is supervised by Dr. Hongzhi Yin).
  4. Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang. "Discrete Ranking-based Matrix Factorization with Self-Paced Learning". 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom. August, 2018. (CCF Rank A, CORE Rank A*. ).
  5. Chen Zhang, Hao Wang, Changying Du, Yijun Wang, Can Chen and Hongzhi Yin*. "Reliability Modeling for Stock Comments: A Holistic Perspective". 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom. August, 2018. (CCF Rank A, CORE Rank A*. ).
  6. Tong Chen, Hongzhi Yin*, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou and Xue Li. "TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction". 2018 The IEEE International Conference on Data Mining (ICDM'18), Singapore. August, 2018. (CCF Rank B, CORE Rank A*, Acceptance Rate=8.86%. This paper has been been selected as one of the best papers for possible publication in Knowledge and Information Systems. The first author is supervised by Dr. Hongzhi Yin).
  7. Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin. "Look Deeper See Richer: Depth-aware Image Paragraph Captioning". ACM Multimedia 2018 (MM'18), Seoul, Korea, October 2018. (CCF Rank A, CORE Rank A*. The first author is co-supervised by Dr. Hongzhi Yin).
  8. Weiqing Wang, Hongzhi Yin*, Zi Huang, Qinyong Wang, Xingzhong Du and Quoc Viet Hung Nguyen. "Streaming Ranking Based Recommender Systems". The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'18), Ann Arbor Michigan, U.S.A. July, 2018. (CCF Rank A, CORE Rank A*, Slides Download, Codes Download. The first author is supervised by Dr. Hongzhi Yin).
  9. Hongzhi Yin*, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, and Xiaofang Zhou. "Joint Event-Partner Recommendation in Event-based Social Networks". 34th IEEE International Conference on Data Engineering (ICDE'18), Paris, France 2018. (CCF Rank A, CORE Rank A*, Slides Download, Codes Download).
  10. Wei Chen, Hongzhi Yin*, Weiqing Wang, Lei Zhao and Xiaofang Zhou. "Effective and Efficient User Account Linkage Across Location Based Social Networks". 34th IEEE International Conference on Data Engineering (ICDE'18), Paris, France 2018. (CCF Rank A, CORE Rank A*, Slides Download, Codes Download).
  11. Nguyen Quoc Viet Hung, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Nguyen Thanh Tam, Bela Stantic. "What-if Analysis with Conflicting Goals: Recommending Data Ranges for Exploration". 34th IEEE International Conference on Data Engineering (ICDE'18), Paris, France 2018. (CCF Rank A, CORE Rank A*).
  12. Zhongjian Lv, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Hongzhi Yin*, Xiaofang Zhou. "LC-RNN: A Deep Learning Model for Traffic Speed Prediction". (IJCAI'18),Stockholm, Sweden 2018. (Corresponding Author, CCF Rank A, CORE Rank A*).
  13. Yan Zhang, Hongzhi Yin*, Zi Huang, Xingzhong Du, Guowu Yang and Diefu Lian. "Discrete Deep Learning for Fast Content-Aware Recommendation". Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM'18), Marina Del Rey, CA, USA, 2018. (CCF Rank B, CORE Rank A*, Slides Download, Codes Download).
  14. Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin and Huan Liu. "Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation". The 27th ACM International Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, October, 2018. (CCF Rank B, CORE Rank A).
  15. Chunyang Liu, Ling Chen, Ivor Tsang and Hongzhi Yin. "Towards the Learning of Weighted Multilabel Associative Classifiers". 2018 International Joint Conference on Neural Networks (IJCNN'18), Rio, Brazil. (CORE Rank A).
  16. Weiqing Wang, Hongzhi Yin*, Zi Huang, Xiaoshuai Sun and Nguyen Quoc Viet Hung. "Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation". DASFAA'18, Gold Coast, Australia, 2018. (CCF Rank B, Slides Download).
  17. Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin*, Xiaofang Zhou, Jin Wang and Chunxiao Xing. "Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation". DASFAA'18, Gold Coast, Australia, 2018. (CCF Rank B).
  18. Saeid Hosseini, Hongzhi Yin*, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici and Xiaofang Zhou. "Exploiting Reshaping Subgraphs From Bilateral Propagation Graphs". DASFAA'18, Gold Coast, Australia, 2018. (CCF Rank B, Short Paper).
  19. Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin and Lei Zhao. "A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud". DASFAA'18, Gold Coast, Australia, 2018. (CCF Rank B).
  20. Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin and Lei Zhao. "Publishing Graph Node Strength Histogram with Edge Differential Privacy". DASFAA'18, Gold Coast, Australia, 2018. (CCF Rank B).
  21. Jiali Yang, Zhixu Li, Hongzhi Yin, Pengpeng Zhao, Lei Zhao, Zhigang Chen and An Liu. "Unified User and Item Representation Learning for Joint Recommendation in Social Network". WISE'18, Dubai, United Arab Emirates, 2018. (CORE Rank A).
  22. Lingjiao Lu, Junhua Fang, Pengpeng Zhao, Jiajie Xu, Hongzhi Yin, Lei Zhao. "Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs". WISE'18, Dubai, United Arab Emirates, 2018. (CORE Rank A).
  23. Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao. "Extracting Representative User Subset of Social Networks towards User Characteristics and Topological Features". WISE'18, Dubai, United Arab Emirates, 2018. (CORE Rank A).
  24. Saeid Hosseini, Hongzhi Yin*, Meihui Zhang, Yuval Elovici, Xiaofang Zhou. "Mining Subgraphs From Propagation Networks Through Temporal Dynamic Analysis". MDM'18, Aalborg, Demark, 2018. (CCF Rank C).
  25. Qinyong Wang, Hongzhi Yin*, Hao Wang, Zi Huang. "TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation". ADC'18, Best Paper Award, Gold Coast, Australia, 2018.
  26. Tong Chen, Xue Li, Hongzhi Yin*, Jun Zhang. "Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection". Workshop of PAKDD'18 on The Big Data Analytics for Social Computing, Melbourne, Australia, 2018. (Best Paper Award)
  27. Hao Wang, Yanmei Fu, Qinyong Wang, Changying Du, Hongzhi Yin* and Hui Xiong. "A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Mobile Users". Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'17),Halifax, Nova Scotia, Canada, 2017. (CCF Rank A, CORE Rank A*).
  28. Yizhou Sun, Xiang Ren, Hongzhi Yin. "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions". Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'17),Halifax, Nova Scotia, Canada, 2017. (Tutorial, CCF Rank A, CORE Rank A*).
  29. Thanh Tam Nguyen, Matthias Weidlich, Chi Thang Duong, Hongzhi Yin, Quoc Viet Hung Nguyen. "Retaining data from streams of social platforms with minimal regret". The International Joint Conference on Artificial Intelligence(IJCAI'17),Melbourn, Australia, August, 2017. (CCF Rank A, CORE Rank A*).
  30. Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, and Quoc Viet Hung Nguyen. "SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction". 2017 IEEE International Conference on Data Mining(ICDM'17), New Orleans, USA, November, 2017. (Acceptance Rate:9.5%, Oral, CORE Rank A*, CCF B, Slides Download, Codes Download).
  31. Hongzhi Yin,Liang Chen, Weiqing Wang, Xingzhong Du, Quoc Viet Hung Nguyen and Xiaofang Zhou. "Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation". 2017 IEEE International Conference on Data Engineering(ICDE'17), San Diego, California, April, 2017. (Short Paper, CCF Rank A, CORE Rank A*).
  32. Wei Chen, Hongzhi Yin*,Weiqing Wang, Lei Zhao, Wen Hua and Xiaofang Zhou. "Exploiting Spatio-Temporal User Behaviors for User Linkage". The 25th ACM International Conference on Information and Knowledge Management(CIKM'17), Singapore, November, 2017. (Acceptance Rate:21%, CCF Rank B, CORE Rank A, Slides Download, Codes Download, The first author was supervised by Hongzhi Yin when the work was done at The University of Queensland).
  33. Yizhou Sun, Hongzhi Yin, Xiang Ren. "Recommendation in Context-Rich Environment: An Information Network Analysis Approach".WWW '17 Companion, Perth, Australia, April, 2017. (Tutorial, CCF Rank A, CORE Rank A*).
  34. Hongxu Chen, Hongzhi Yin, Meng Wang, Weitong Chen, Tong Chen and Xue Li. "People Opinion Topic Model: Opinion based User Clustering in Social Networks". WWW '17 Companion, Perth, Australia, April, 2017.
  35. Yongjun Li, You Peng, Zhen Zhang, Quanqing Xu and Hongzhi Yin. "Understanding the User Display Names across Social Networks".WWW '17 Companion, Perth, Australia, April, 2017.
  36. Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Xiaofang Zhou and Shazia Sadiq. "Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation".The 22nd International Conference on Database Systems for Advanced Applications(DASFAA'17), Suzhou, China, March, 2017. (Full research paper, CCF Rank B, CORE Rank A).
  37. Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Hengtao Shen. "An Integrated Model for Effective Saliency Prediction".The Thirty-First AAAI Conference on Artificial Intelligence(AAAI'17), San Francisco, California, USA, February, 2017. (Full research paper, CCF Rank A, CORE Rank A*).
  38. Jinjing Huang, Tianqiao Lin, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao. "Influenced Nodes Discovery in Temporal Contact Network".(WISE'17), Puschino, Russia, 2017. (Full research paper, CCF Rank C, CORE Rank A).
  39. Hongzhi Yin*, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Quoc Viet Hung Nguyen. "Discovering Interpretable Geo-Social Communities for User Behavior Prediction". The 32nd IEEE International Conference on Data Engineering (ICDE'16), Helsinki, Finland, May, 2016. (Full research paper, CCF Rank A, CORE Rank A*, Slides Download, Codes(PWD:nm0t)).
  40. Weiqing Wang, Hongzhi Yin*, Shazia Sadiq, Ling Chen, Min Xie, Xiaofang Zhou. "SPORE: A Sequential Personalized Spatial Item Recommender System". The 32nd IEEE International Conference on Data Engineering (ICDE'16), Helsinki, Finland, May, 2016. (Full research paper, CCF Rank A, CORE Rank A*, Slides Download, The first author was Dr Hongzhi Yin's Phd student. Codes Download)
  41. Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou. "Keyword-Aware Continuous kNN Query on Road Networks". The 32nd IEEE International Conference on Data Engineering (ICDE'16), Helsinki, Finland, May, 2016. (Full research paper, CCF Rank A, CORE Rank A*)
  42. Min Xie, Hongzhi Yin*, Fanjiang Xu, Hao Wang, Weitong Chen and Sen Wang. "Learning Graph-based POI Embedding for Location-based Recommendation". The 25th ACM International Conference on Information and Knowledge Management(CIKM'16), Hyatt Hotel, Indianapolis, United States, 2016. (Full research paper,Acceptance rate: 17.6%, CORE Rank A, CCF Rank B, Slides Download,, The first author was supervised by Dr Hongzhi Yin. Codes Download)
  43. Hongzhi Yin*, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Sadiq. "Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation " . The 24th ACM International Conference on Information and Knowledge Management (CIKM'15), Melbourne, Australia, October, 2015. (Full research paper, Acceptance rate: 17.9%, CCF Rank B, CORE Rank A, Slides Download, Codes Download)
  44. Weiqing Wang, Hongzhi Yin*, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou. "Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation" . Proc. of 2015 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia, August, 2015. (Full research paper, Acceptance rate: 19.3%, CCF Rank A, CORE Rank A*, Slides Download,,The first author was Dr Hongzhi Yin's Phd student, Code Download)
  45. Hongzhi Yin*, Bin Cui, Zi Huang, Weiqing Wang,  Xian Wu,  Xiaofang Zhou. "Joint Modeling of Users’ Interests and Mobility Patterns for Point-of-Interest Recommendation". The 2015 ACM Multimedia Conference(ACM-MM'15), Brisbane, Australia, October, 2015. (CCF Rank A, CORE Rank A*, Code Download).
  46. Hongzhi Yin*, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang. "A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems". Proc. Of 2014 ACM SIGMOD Int. Conf. Management of Data (SIGMOD’14), Snowbird, Utah, USA, June, 2014. (Full research paper, CCF Rank A, CORE Rank A*, Slides, Code Download).
  47. Hongzhi Yin*, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen. "LCARS: A Location-Content-Aware Recommender System". Proc. of 2013 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’13), Chicago, IL, Aug. 2013.(Full research paper, Acceptance rate: 9.1%, CCF Rank A, CORE Rank A*, Slides, Code Download, Top 1 cited paper among all KDD-13 oral papers)
  48. Hongzhi Yin*, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao. "A Unified Model for Stable and Temporal Topic Detection from Social Media Data". Proc. of 2013 IEEE Int. Conf. on Data Engineering (ICDE’13), Brisbane, Australia, Apr. 2013. (Full research paper, Acceptance rate: 19%, CCF Rank A, CORE Rank A*, Slides, Code Download)
  49. Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui. "TeRec: A Temporal Recommender System Over Tweet Stream". Proc. of 2013 Int. Conf. on Very Large Data Bases (VLDB’13), Riva del Garda, Italy, Aug. 2013 (Acceptance rate: 13.2%, CCF Rank A, CORE Rank A*.)
  50. Hongzhi Yin*, Bin Cui, JingLi, Junjie Yao, Chen Chen. "Challenging the Long Tail Recommendation". Proc. of 2012 Int. Conf. on Very Large Data Bases (VLDB’12), Istanbul, Turkey, Aug. 2012. (Full research paper, Acceptance rate: 17.3%, CCF Rank A, CORE Rank A*, Slides, Code Download)
  51. Qinyong Wang, Hongzhi Yin, Hao Wang. "A Time and Sentiment Unification Model for Personalized Recommendation" . APWEB-WAIM 2017, Beijing, China, 2017. (Full research paper, CORE Rank B, CCF Rank C)
  52. Yanxia Xu, Jinjing Huang, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao. "Time-Constrained Graph Pattern Matching in a Large Temporal Graph" . APWEB-WAIM 2017, Beijing, China, 2017. (Full research paper, CORE Rank B, CCF Rank C)
  53. Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan, Xiaolin Qin. "Group Recommender Model Based on Preference Interaction" . ADMA 2017, Singapore, 2017. (Full research paper, CORE Rank B, CCF Rank C)
  54. Min Xie, Hongzhi Yin*, Fanjiang Xu, Hao Wang, Xiaofang Zhou. "Graph-based Metric Embedding for Next POI Recommendation" . The 2016 Web Information Systems Engineering(WISE'16), Shanghai, China, 2016. (Full research paper, CORE Rank A, will appear, The first author was supervised by Dr Hongzhi Yin.)
  55. Hao Wang, Chen Zhang, Hongzhi Yin, Wei Wang, Jun Zhang, Fanjiang Xu. "A Unified Framework for Fine-Grained Opinion Mining from Online Reviews ". The 49th Hawaii International Conference on System Sciences (HICSS'16), Hawaii, January, 2016. (Full research paper, CORE Rank A)
  56. Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou. "Using Detected Visual Objects to Index Video Database ". The 2016 Australian Database Conference (ADC'16), Sydney, Australia, 2016. (Best Paper,Full research paper)
  57. Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao. "Expert Team Finding for Review Assignment ". The 2016 Conference on Technologies and Applications of Artificial Intelligence, (TAAI'16), Hsinchu, Taiwan, 2016. (Full research paper)
  58. Yanxia Xu, Guanfeng Liu, Hongzhi Yin, Jiajie Xu, Kai Zheng, Lei Zhao. "Discovering Organized POI Groups in a City" . In Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA). 2015. (CCF Rank B, CORE Rank A)
  59. Huimin Wu, Jie Shao, Hongzhi Yin, Hengtao Shen, Xiaofang Zhou. "Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest". The 2015 Web Information Systems Engineering(WISE'15), Miami, Florida, USA, December, 2015. (Invited paper, CORE Rank A, CCF Rank C)
  60. Meng Zhao, Hao Wang, Liangliang Cao, Chen Zhang, Hongzhi Yin, Fanjiang Xu. "LSIF: A System for Large-scale Information Flow Detection Based on Topic-related Semantic Similarity Measurement ". The 2015 IEEE/WIC/ACM International Conference on Web Intelligence(WI'15), Singapore, December, 2015. (Full research paper, CORE Rank B)
  61. Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Bin Luo, Zhenyu Chen. "Predicting Passengers in Public Transportation Using Smart Card Data" . In Proceedings of Australian Database Conference (ADC). 2015.
  62. Tieke He, Hongzhi Yin, Zhenyu Chen, Bin Luo, Xiaofang Zhou. "Predicting Users' Purchasing Behaviours Using Their Browsing History". In Proceedings of Australian Database Conference (ADC). 2015.
  63. Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu. "Distinguishing Re-sharing Behaviors from Re-creating Behaviors in Information Diffusion" . ICDE 2015 Workshop (SSEPM 2015).
  64. Hongzhi Yin*, Bin Cui, Yuxin Huang. "Finding a panel of diverse experts in social networks". Proc. of 2011 Int. Conf. on Advanced Data Mining and Applications (ADMA’11), Beijing, China, Dec. 2011. (Full research paper, Acceptance rate: 18%, CCF Rank C, CORE Rank B)


Honors and Awards
  • May 2018, Best Paper Award in 2018 Australian Database Conference (ADC'18)
  • May 2018, Best paper Award in 2018 Pacific-Asia Conference on Knowledge Discovery and Data Mining Conference Workshop (PAKDD’18) on Social Computing
  • November 2017, EAIT Faculty Early Career Researcher Award
  • May 2017, ACM 21st Annual Best of Computing Award
  • April 2017, Best paper award in ACM World Wide Web Conference Workshop on Social Computing
  • Best Paper Award, 2016 Australian Database Conference (ADC'16)
  • 2016, Australia Discovery Early Career Researcher Award, ARC
  • June 2014: Distinguished Doctor Degree Thesis Award, Peking University
  • May 2014: Top-10 Distinguished Academic Fellow Award, EECS of Peking University
  • December 2013: Sohu Scholarship, Peking University
  • October 2013:Academic Innovation Award of Peking University, Peking University
  • October 2013:National Graduate Scholarship, Education Ministry of China
  • August 2013: KDD'2013 Travel Grant, ACM
  • April 2013: Top-10 Best Paper Award, Peking University
  • April 2013: ICDE'2013 Travel Scholarship, IEEE
  • December 2012: Sohu Scholarship, Peking University
  • September 2012: Tung OOCL Scholarship, Peking University
  • Since September 2009: First Prize Academic Scholarship of Peking University, Peking University
  • July 2009:Beijing Outstanding Graduates Award, Education Ministry of China
  • September 2008:Third Prize in Business Plan Competition of Beijing
  • July 2008:National Scholarship, Education Ministry of China


Professional Services


Research Student Supervision
  • Qinyong Wang (Phd student) 2017.10-
  • Sameen Mansha (Phd student) 2017.7-
  • Shijie Zhang (Phd student) 2018.10-
  • Xuhui Ren (Phd student) 2018.10-
  • Mubashir Imran (Phd student) 2018.10-
  • Ziwei Wang (Phd student) 2017.7-
  • Hongxu Chen (Phd student) 2017.3-
  • Tong Chen (Phd student) 2016.7-
  • Luyao Liu (Phd student) 2017.1-
  • Xiaocui Li (Visiting Phd student from Huazhong University of Science and Technology) 2018.5-2018.11
  • Hanlin Liang (Master student), 2018.2-2018.12
  • Haocheng Sun (Master student), 2018.2-2018.12
  • Adriano Afonso Arantes (Master student), 2018.2-2018.12
  • Alexander Zhou (Honor student), 2018.7-2019.7
  • Alex Zhou (Honor student), 2018.7-2019.7
  • Hongliang Ni (Honor student), 2018.7-2019.7
  • Yuzhong Li (Honor student), 2018.7-2019.7
  • Vinson Tran (Master student), 2018.7-2019.7


Alumni (Former Students)
  • Weiqing Wang (Phd student), 2014.9-2017.7, now working as a Lecturer in Monash University
  • Tieke He (Visiting Phd student from Nanjing University), 2014.9-2015.9, now working in Nanjing University
  • Yan Zhang (Visiting Phd student from University of Electronic Science and Technology of China), 2016.10-2017.10
  • Wei Chen (Visiting Phd student from Soochow University), 2016.10-2017.10, now working as a Research Fellow in The University of Queensland
  • Chi Thang Duong (Research Intern from École Polytechnique Fédérale de Lausanne (EPFL)), 2018.2-2018.8
  • Kangzhi Zhao (Visiting Phd student from Tsinghua University), 2017.4-2017.10
  • Kankan Zhao (Visiting Phd student from Renmin University), 2017.11-2018.5
  • Jiali Yang (Visiting Master student from Soochow University), 2017.10-2018.3
  • Min Xie (Master student from Institute of Software, Chinese Academy of Sciences), 2015.9-2017.7
  • Jiabin Dong (Master student), 2016.7-2017.7
  • Yifan Wang (Master student), 2016.7-2017.7
  • Yanuar Wicaksana (Master student) 2017.7-2018.7
  • Zihao Zhao (Master student) 2017.3-2017.12
  • Fang Wan (Master student) 2017.3-2017.12
  • Yuehan Loke (Honor student) 2017.3-2017.12


Teaching
  • Information Retrieval and Web Search (INFS7410), Semester 2, 2016, School of ITEE, The University of Queensland.
  • Service-Oriented Architecture (INFS 3204/7204), Semester 2, 2017, School of ITEE, The University of Queensland.
  • Information Retrieval and Web Search (INFS7410), Semester 2, 2018, School of ITEE, The University of Queensland.


Invited Talks/Keynote Speeches
  • "Mining Geo-social Networks for Spatial Item Recommendation", Invited Keynote, Workshop at PAKDD'18 (https://bdasc.uqcloud.net/), Melbourne, Australia, June, 2018
  • "Mining Geo-social Networks - Spatial Item Recommendation", Invited Tutorial, The 2018 Australasian Database Conference (ADC’18), Gold Coast, Australia, May, 2018. (slides download)
  • "User-Centered Data Analytic and Modeling - Semantic-Aware Behaviour Prediction", Invited Talk, Huazhong University of Science and Technology, Wuhan, China, 18 May, 2018. (slides download)
  • "User-Centered Data Analytic and Modeling - Semantic-Aware Behaviour Prediction", Invited Talk, Northeastern University, Shenyang, China, May 15, 2018. (slides download)
  • "A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behaviour Prediction", Invited Talk, Research School of Finance, Actuarial Studies & Statistics, Australian National University, Canberra, Australia, March 26, 2018. (slides download)
  • "User-Centered Data Analytic and Modeling", Invited Talk, International Youth Academic Forum of Beijing University of Posts and Telecommunications, Beijing, China, December 21, 2017
  • "Big Recommender System", Invited Talk, Shandong Normal University, Jinan, China, December 26, 2017
  • "Mining Geo-social Networks-Spatiotemporal Recommendation", Invited Talk, Nanjing University of Aeronautics and Astronautics, Nanjing, China, October 30, 2017
  • "Context-Rich Recommendation: Integrating Links, Text, and Spatio-Temporal Dimensions", Tutorial, KDD'17, Halifax, Nova Scotia, Canada, August, 2017 (slides download)
  • "User behavior Analytic in social media", Toutiao (今日头条), 12 June, 2017;
  • "Mining Geo-social Networks", JD Research (京东研究院), Invited by the Director Dr. David Yin, 9 June, 2017;
  • "Mining 4W (Who, Where, When and What)", Mininglamp (明略数据), 8 June, 2017;
  • "Spatio-temporal Recommendation in Geo-social Network", Peking University, 6 June, 2017;
  • "Recommendation in Context-Rich Environment: An Information Network Analysis Approach", Tutorial, The 2017 World Wide Web Conference (WWW’17), Perth, Australia, April, 2017 (slides download)
  • "Social event detection and user behavior modelling", Tutorial, The 2016 Australasian Database Conference (ADC’16), Sydney, Australia, September, 2016, (slides download, paw:15de)
  • "Mining Geo-Social Networks - Mining 4W (What, Who, When, Where)", Invited Talk, Youth Association Talk Series, Institute of Software, Chinese Academy of Sciences, Beijing, 21 January 2016
  • "Spatiotemporal Context-Aware User Modeling for Recommendation",Keynote, Annual Workshop on Data, Systems, and Security, Deakin University, Melbourne Burwood Campus, Victoria, Australia, 9 December 2015
  • "Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation",Keynote, China - Australia Database Workshop, Victoria University, Melbourne, Australia, 18 October 2015
  • "Context-Aware User Modeling and Recommender System",Invited Talk, Youth Association Talk Series, Institute of Software, Chinese Academy of Sciences, Beijing, 4 February 2015




Datasets Download (Please contact me for download link)