Dr Hongzhi Yin

Senior Lecturer in Data Science

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
h.yin1@uq.edu.au
+61 7 336 54739

Overview

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. His current main research interests include recommender system, social media analytics and mining, network embedding and mining, time series data and sequence data mining and learning, chatbots, federated learning, topic models, deep learning and smart transportation. He has published 130+ papers, including 18 Highly Cited Papers (Top 1%), 60+ CCF A and 40+ CCF B, 60+ CORE A* and 45+ CORE A, such as KDD (x11), ICDE (x16), VLDB (x4), SIGIR (x6), ACM TOIS (x7), IEEE TKDE (x5), IJCAI (x4), AAAI (x3), VLDB Journal (x2), ICDM (x3), ACM Multimedia (x2), WWW (x3), CIKM (x6), SIGMOD and WSDM. He is the leading author (first author or corresponding author) for 80+ of them. He has won 5 Best Paper Awards such as ICDE'19 Best 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 IEEE Journal of Social Computing and Editorial Board of Young Scientists for Journal of Computer Science and Technology (JCST). He is currently directing the RSBDI (Responsible and Sustainable Big Data Intelligence) Lab. RSBDI Lab aims and strives to to develop socially responsible and environmentally sustainable data mining and machine learning techniques with theoretical backbones to better discover actionable patterns and intelligence from large-scale, networked, dynamic and sparse data. The research of RSBDI Lab is directly motivated by, and contributes to, applications in E-commerce and marketing, social informatics, biomedical and health informatics, urban transportation and information security. His research has also been attracting media coverage, such as UQ News, Faculty News of EAIT, Computing Reviews, 360 News. More information about Dr. Yin can be found from his homepage https://sites.google.com/site/dbhongzhi/.

Research Interests

  • recommender system
  • social media analysis
  • deep learning
  • Intelligent Fashion Collocation with AR and VR
  • user linkage across social networks
  • network embedding
  • user behavior modeling
  • machine learning
  • data mining
  • natural language processing

Qualifications

  • Doctoral Graduate Student Diploma, Peking University
  • Doctor's Degreee Certificate, Peking University

Publications

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Grants

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Supervision

View all Supervision

Publications

Book

Book Chapter

  • Yin, Hongzhi, Cui, Bin and Zhou, Xiaofang (2017). Spatiotemporal recommendation in geo-social networks. Encyclopedia of social network analysis and mining. (pp. 1-19) edited by Reda Alhajj and Jon Rokne. New York, NY, United States: Springer. doi: 10.1007/978-1-4614-7163-9_110177-1

  • Yin, Hongzhi and Cui, Bin (2016). Fast online recommendation. Spatio-Temporal Recommendation in Social Media. (pp. 99-114) City of Singapore, Singapore: Springer. doi: 10.1007/978-981-10-0748-4_5

  • Yin, Hongzhi and Cui, Bin (2016). Introduction. Spatio-Temporal Recommendation in Social Media. (pp. 1-15) City of Singapore, Singapore: Springer. doi: 10.1007/978-981-10-0748-4_1

  • Yin, Hongzhi and Cui, Bin (2016). Location-based and real-time recommendation. Spatio-Temporal Recommendation in Social Media. (pp. 65-98) City of Singapore, Singapore: Springer. doi: 10.1007/978-981-10-0748-4_4

  • Yin, Hongzhi and Cui, Bin (2016). Spatial context-aware recommendation. Spatio-Temporal Recommendation in Social Media. (pp. 41-63) City of Singapore, Singapore: Springer. doi: 10.1007/978-981-10-0748-4_3

  • Yin, Hongzhi and Cui, Bin (2016). Temporal context-aware recommendation. Spatio-temporal recommendation in social media. (pp. 17-39) edited by Hongzhi Yin and Bin Cui. Singapore: Springer. doi: 10.1007/978-981-10-0748-4_2

Journal Article

Conference Publication

  • Trung, Huynh Thanh, Van Vinh, Tong, Tam, Nguyen Thanh, Yin, Hongzhi, Weidlich, Matthias and Viet Hung, Nguyen Quoc (2020). Adaptive network alignment with unsupervised and multi-order convolutional networks. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00015

  • Duong, Chi Thang, Yin, Hongzhi, Hoang, Dung, Nguyen, Minn Hung, Weidlich, Matthias, Hung Nguyen, Quoc Viet and Aberer, Karl (2020). Graph embeddings for one-pass processing of heterogeneous queries. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00222

  • Guo, Lei, Yin, Hongzhi, Wang, Qinyong, Cui, Bin, Huang, Zi and Cui, Lizhen (2020). Group recommendation with latent voting mechanism. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00018

  • Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Huang, Zi, Wang, Hao, Zhao, Yanchang and Viet Hung, Nguyen Quoc (2020). Next point-of-interest recommendation on resource-constrained mobile devices. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380170

  • Chen, Tong, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Peng, Wen-Chih, Li, Xue and Zhou, Xiaofang (2020). Sequence-aware factorization machines for temporal predictive analytics. 2020 IEEE 36th International Conference on Data Engineering, Dallas, Texas, United States, 20-24 April 2020. IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00125

  • Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Yan, Rui, Nguyen, Quoc Viet Hung and Li, Xue (2019). AIR: Attentional intention-aware recommender systems. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00035

  • Gao, Chongming, Yuan, Shuai, Zhang, Zhong, Yin, Hongzhi and Shao, Junming (2019). BLOMA: explain collaborative filtering via Boosted Local rank-One Matrix Approximation. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Philadelphia, PA, United States: Elsevier. doi: 10.1007/978-3-030-18590-9_72

  • Wang, Qinyong, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Huang, Zi, Wang, Hao and Cui, Lizhen (2019). Enhancing collaborative filtering with generative augmentation. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330873

  • Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Peng, Wen-Chih and Li, Xue (2019). Exploiting centrality information with graph convolutions for network representation learning. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00059

  • Shang, Mingyue, Fu, Zhenxin, Yin, Hongzhi, Tang, Bo, Zhao, Dongyan and Yan, Rui (2019). Find a reasonable ending for stories: Does logic relation help the story cloze test?. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February, 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

  • Yu, Junliang, Gao, Min, Yin, Hongzhi, Li, Jundong, Gao, Chongming and Wang, Qinyong (2019). Generating reliable friends via adversarial training to improve social recommendation. IEEE International Conference on Data Mining , Beijing, China, 8-11 November 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00087

  • Zhang, Rui, Li, Jianxin, Yin, Hongzhi, Reynolds, Mark, Cheema, Muhammad Aamir and Chen, Ling (2019). IWSC 2017 chairs' welcome. International Conference on World Wide Web , Perth, WA, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee.

  • Zhang, Shijie, Yin, Hongzhi, Wang, Qinyong, Chen, Tong, Chen, Hongxu and Nguyen, Quoc Viet Hung (2019). Inferring substitutable products with deep network embedding. International Joint Conference on Artificial Intelligence, Macao, China, 10-16 August 2019. California: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2019/598

  • Wang, Qinyong, Yin, Hongzhi, Wang, Weiqing, Huang, Zi, Guo, Guibing and Nguyen, Quoc Viet Hung (2019). Multi-hop path queries over knowledge graphs with neural memory networks. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-18576-3_46

  • Wang, Yuandong, Wo, Tianyu, Yin, Hongzhi, Xu, Jie, Chen, Hongxu and Zheng, Kai (2019). Origin-destination matrix prediction via graph convolution: A new perspective of passenger demand modeling. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330877

  • Qiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010

  • Li, Xiaocui, Yin, Hongzhi, Zhou, Ke, Chen, Hongxu, Sadiq, Shazia and Zhou, Xiaofang (2019). Semi-supervised Clustering with Deep Metric Learning. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-15 April 2019. Heidelberg, Germany: Springer . doi: 10.1007/978-3-030-18590-9_50

  • Yin, Hongzhi, Wang, Qinyong, Zheng, Kai, Li, Zhixu, Yang, Jiali and Zhou, Xiaofang (2019). Social influence-based group representation learning for group recommendation. 35th International Conference on Data Engineering (ICDE 2019), Macao, Macao, 8-11 April 2019. New York, NY, United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00057

  • Guo, Lei, Chen, Tong, Yin, Hongzhi, Zhou, Alexander, Wang, Qinyong and Hung, Nguyen Quoc Viet (2019). Streaming Session-based Recommendation. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330839

  • Sun, Ke, Qian, Tieyun, Yin, Hongzhi, Chen, Tong, Chen, Yiqi and Chen, Ling (2019). What can history tell us? Identifying relevant sessions for next-item recommendation. 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3-7 November 2019. New York, United States: Association for Computing Machinery. doi: 10.1145/3357384.3358050

  • Gao, Jiuru, Xu, Jiajie, Liu, Guanfeng, Chen, Wei, Yin, Hongzhi and Zhao, Lei (2018). A privacy-preserving framework for subgraph pattern matching in cloud. 23rd International Conference on Database Systems for Advanced Applications DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_20

  • Yu, Junliang, Gao, Min, Li, Jundong, Yin, Hongzhi and Liu, Huan (2018). Adaptive implicit friends identification over heterogeneous network for social recommendation. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3269206.3271725

  • Chen, Tong, Li, Xue, Yin, Hongzhi and Zhang, Jun (2018). Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC, Australia, June 3, 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_4

  • Nguyen, Quoc Viet Hung, Huynh, Huu Viet, Nguyen, Thanh Tam, Weidlich, Matthias, Yin, Hongzhi and Zhou, Xiaofang (2018). Computing crowd consensus with partial agreement. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00232

  • Zhang, Yan, Yin, Hongzhi, Huang, Zi, Du, Xingzhong, Yang, Guowu and Lian, Defu (2018). Discrete deep learning for fast content-aware recommendation. 11th ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, United States, 5-9 February 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3159652.3159688

  • Zhang, Yan, Wang, Haoyu, Lian, Defu, Tsang, Ivor W., Yin, Hongzhi and Yang, Guowu (2018). Discrete ranking-based matrix factorization with self-paced learning. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220116

  • Chen, Wei, Yin, Hongzhi, Wang, Weiqing, Zhao, Lei and Zhou, Xiaofang (2018). Effective and efficient user account linkage across location based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00101

  • Lu, Lingjiao, Fang, Junhua, Zhao, Pengpeng, Xu, Jiajie, Yin, Hongzhi and Zhao, Lei (2018). Eliminating temporal conflicts in uncertain temporal knowledge graphs. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, November 12 - 15, 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-02922-7_23

  • Hosseini, Saeid, Yin, Hongzhi, Cheung, Ngai-Man, Leng, Kan Pak, Elovici, Yuval and Zhou, Xiaofang (2018). Exploiting reshaping subgraphs from bilateral propagation graphs. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21-24 May 2018. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-91452-7_23

  • Zhou, Yiming, Han, Yuehui, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2018). Extracting representative user subset of social networks towards user characteristics and topological features. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, November 12 - 15, 2018. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-02922-7_15

  • Tam, Nguyen Thanh, Weidlich, Matthias, Zheng, Bolong, Yin, Hongzhi, Hung, Nguyen Quoc Viet and Stantic, Bela (2018). From anomaly detection to rumour detection using data streams of social platforms. 45th International Conference on Very Large Data Bases (VLDB 2019), Los Angeles, CA, United States, 26-30 August 2017. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.14778/3329772.3329778

  • Yin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088

  • Lv, Zhongjian, Xu, Jiajie, Zheng, Kai, Yin, Hongzhi, Zhao, Pengpeng and Zhou, Xiaofang (2018). LC-RNN: A deep learning model for traffic speed prediction. 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, 13-19 July 2018. International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2018/482

  • Wang, Ziwei, Luo, Yadan, Li, Yang, Huang, Zi and Yin, Hongzhi (2018). Look deeper see richer: Depth-aware image paragraph captioning. 26th ACM Multimedia conference, MM 2018, Seoul, South Korea, October 22 - 26, 2018. New York, NY, Untied States: Association for Computing Machinery, Inc. doi: 10.1145/3240508.3240583

  • Yin, Hongzhi and Wang, Weiqing (2018). Mining geo-social networks - spatial item recommendation. 29th Australasian Database Conference (ADC), Gold Coast, Australia, 24-27 May 2018. Cham, Switzerland: Springer.

  • Hosseini, Saeid, Yin, Hongzhi, Zhang, Meihui, Elovici, Yuval and Zhou, Xiaofang (2018). Mining subgraphs from propagation networks through temporal dynamic analysis. 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg University, Aalborg, Denmark, 26-28 June 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/MDM.2018.00023

  • Zhao, Kangzhi, Zhang, Yong, Wang, Zihao, Yin, Hongzhi, Zhou, Xiaofang, Wang, Jin and Xing, Chunxiao (2018). Modeling patient visit using electronic medical records for cost profile estimation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21-24 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-91458-9_2

  • Wang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004

  • Chen, Hongxu, Wang, Hao, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Wang, Weiqing and Li, Xue (2018). PME: projected metric embedding on heterogeneous networks for link prediction. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3219986

  • Qian, Qing, Li, Zhixu, Zhao, Pengpeng, Chen, Wei, Yin, Hongzhi and Zhao, Lei (2018). Publishing graph node strength histogram with edge differential privacy. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21-24 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-91458-9_5

  • Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Sun, Xiaoshuai and Hung, Nguyen Quoc Viet (2018). Restricted boltzmann machine based active learning for sparse recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_7

  • Zhang, Chen, Du, Changying, Wang, Yijun, Yin, Hongzhi, Chen, Can and Wang, Hao (2018). Stock assistant: a stock AI assistant for reliability modeling of stock comments. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3219964

  • Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Wang, Qinyong, Du, Xingzhong and Nguyen, Quoc Viet Hung (2018). Streaming ranking based recommender systems. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210016

  • Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wu, Lin, Wang, Hao, Zhou, Xiaofang and Li, Xue (2018). TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17-20 November 2018. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDM.2018.00020

  • Wang, Qinyong, Yin, Hongzhi, Wang, Hao and Huang, Zi (2018). TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_17

  • Liu, Chunyang, Chen, Ling, Tsang, Ivor and Yin, Hongzhi (2018). Towards the Learning of Weighted Multi-label Associative Classifiers. 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8 - 13, 2018. Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2018.8489398

  • Yang, Jiali, Li, Zhixu, Yin, Hongzhi, Zhao, Pengpeng, Liu, An, Chen, Zhigang and Zhao, Lei (2018). Unified user and item representation learning for joint recommendation in social network. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, November 12 - 15, 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-02925-8_3

  • Nguyen, Thanh Tam, Weidlich, Matthias, Yin, Hongzhi, Zheng, Bolong, Hung Nguyen, Quoc Viet and Stantic, Bela (2018). User guidance for efficient fact checking. 45th International Conference on Very Large Data Bases, Los Angeles, CA United States, 2019. New York, NY United States: Association for Computing Machinery. doi: 10.14778/3324301.3324303

  • Nguyen, Quoc Viet Hung, Zheng, Kai, Weidlich, Matthias, Zheng, Bolong, Yin, Hongzhi, Nguyen, Thanh Tam and Stantic, Bela (2018). What-If analysis with conflicting goals: recommending data ranges for exploration. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16 - 19, 2018. Los Alamitos, CA, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00018

  • Wang, Hao , Fu, Yanmei , Wang, Qinyong , Yin, Hongzhi , Du, Changying and Xiong, Hui (2017). A location-sentiment-aware recommender system for both home-town and out-of-town users. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, NS, Canada, 13-17 August 2017. New York, NY, United States: ACM. doi: 10.1145/3097983.3098122

  • Wang, Qinyong , Yin, Hongzhi and Wang, Hao (2017). A time and sentiment unification model for personalized recommendation. Joint Conference, APWeb-WAIM, Beijing, China, 7-9 July 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63564-4 8

  • Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

  • Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. AAAI Conference on Artificial Intelligence, San Francisco, CA, United States, 4-9 February 2017. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

  • Chen, Wei, Yin, Hongzhi, Wang, Weiqing, Zhao, Lei, Hua, Wen and Zhou, Xiaofang (2017). Exploiting spatio-temporal user behaviors for user linkage. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3132898

  • Xie, Min, Yin, Hongzhi, Xu, Fanjiang, Wang, Hao and Zhou, Xiaofang (2017). Graph-based metric embedding for next POI recommendation. 17th International Conference on Web Information Systems Engineering (WISE), Shanghai, China, 8 - 10 November 2016. Heidelberg, Germany: Springer . doi: 10.1007/978-3-319-48743-4_17

  • Zheng, Wei, Li, Bohan, Wang, Yanan, Yin, Hongzhi, Li, Xue, Guan, Donghai and Qin, Xiaolin (2017). Group recommender model based on preference interaction. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_10

  • Huang, Jinjing, Lin, Tianqiao, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2017). Influenced nodes discovery in temporal contact network. 18th International Conference on Web Information Systems Engineering, WISE 2017, Puschino, Russia, 7-11 October 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-68783-4_32

  • Hosseini, Saeid, Yin, Hongzhi, Zhang, Meihui, Zhou, Xiaofang and Sadiq, Shazia Wasim (2017). Jointly modeling heterogeneous temporal properties in location recommendation. 22nd Internation Conference, DASFAA 2017, Suzhou, China, 27 - 30 March 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-55753-3_31

  • Yin, Hongzhi, Chen, Liang, Wang, Weiqing, Du, Xingzhong, Nguyen, Quoc Viet Hung and Zhou, Xiaofang (2017). Mobi-SAGE: A sparse additive generative model for mobile app recommendation. IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2017.43

  • Chen, Hongxu, Yin, Hongzhi, Li, Xue, Wang, Meng, Chen, Weitong and Chen, Tong (2017). People opinion topic model: opinion based user clustering in social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051159

  • Sun, Yizhou, Yin, Hongzhi and Ren, Xiang (2017). Recommendation in context-rich environment: An information network analysis approach. 26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, April 3 - 7, 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051105

  • Tam, Nguyen Thanh, Weidlich, Matthias, Thang, Duong Chi, Yin, Hongzhi and Hung, Nguyen Quoc Viet (2017). Retaining data from streams of social platforms with minimal regret. International Joint Conference on Artificial Intelligence, IJCAI, Melbourne, Australia, 19-25 August 2017. Melbourne, Australia: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2017/397

  • Yin, Hongzhi, Chen, Hongxu, Sun, Xiaoshuai, Wang, Hao, Wang, Yang and Nguyen, Quoc Viet Hung (2017). SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior prediction. 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. New York, USA: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICDM.2017.68

  • Xu, Yanxia, Huang, Jinjing, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2017). Time-constrained graph pattern matching in a large temporal graph. Joint Conference, APWeb-WAIM, Beijing, China, 7-9 July 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63579-8 9

  • Li, Yongjun, Peng, You, Zhang, Zhen, Xu, Quanqing and Yin, Hongzhi (2017). Understanding the user display names across social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051146

  • Wang, Hao, Zhang, Chen, Yin, Hongzhi, Wang, Wei, Zhang, Jun and Xu, Fanjiang (2016). A unified framework for fine-grained opinion mining from online reviews. 49th Annual Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, 5-8 January 2016. Piscataway, NJ, United States: I E E E. doi: 10.1109/HICSS.2016.144

  • Yin, Hongzhi, Hu, Zhiting, Zhou, Xiaofang, Wang, Hao, Zheng, Kai, Quoc Viet Hung Nguyen and Sadiq, Shazia (2016). Discovering interpretable geo-social communities for user behavior prediction. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498303

  • Yin, Hongzhi, Cui, Bin, Lu, Hua and Zhao, Lei (2016). Expert team finding for review assignment. Conference on Technologies and Applications of Artificial Intelligence (TAAI), Hsinchu, Taiwan, 25-27 November 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/TAAI.2016.7932314

  • Zheng, Bolong, Zheng, Kai, Xiao, Xiaokui, Su, Han, Yin, Hongzhi, Zhou, Xiaofang and Li, Guohui (2016). Keyword-aware continuous kNN query on road networks. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498297

  • Zhao, Meng, Wang, Hao, Cao, Liangliang, Zhang, Chen, Yin, Hongzhi and Xu, Fanjiang (2016). LSIF: a system for large-scale information flow detection based on topic-related semantic similarity measurement. 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Singapore, 6-9 December 2016. Los Alamitos, CA United States: IEEE Computer Society. doi: 10.1109/WI-IAT.2015.2

  • Xie, Min, Yin, Hongzhi, Wang, Hao, Xu, Fanjiang, Chen, Weitong and Wang, Sen (2016). Learning graph-based POI embedding for location-based recommendation. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983711

  • Wang, Weiqing, Yin, Hongzhi, Sadiq, Shazia, Chen, Ling, Xie, Min and Zhou, Xiaofang (2016). SPORE: a sequential personalized spatial item recommender system. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498304

  • Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2016). Using detected visual objects to index video database. Australasian Database Conference on Databases Theory and Applications, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_26

  • Xu, Yanxia, Liu, Guanfeng, Yin, Hongzhi, Xu, Jiajie, Zheng, Kai and Zhao, Lei (2015). Discovering Organized POI Groups in a city. 20th International Conference on Database Systems for Advanced Applications (DASFAA), Hanoi, Vietnam, 20-23 April 2015. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-319-22324-7_19

  • Xie, Yiran, Yin, Hongzhi, Cui, Bin, Yao, Junjie and Xu, Quanqing (2015). Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. 31st IEEE International Conference on Data Engineering Workshops 2015, Seoul, South Korea, 13-17 April 2015. IEEE Computer Society. doi: 10.1109/ICDEW.2015.7129573

  • Wang, Weiqing, Yin, Hongzhi, Chen, Ling, Sun, Yizhou, Sadiq, Shazia and Zhou, Xiaofang (2015). Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, 10-13 August 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2783258.2783335

  • Wu, Huimin, Shao, Jie, Yin, Hongzhi, Shen, Heng Tao and Zhou, Xiaofang (2015). Geographical constraint and temporal similarity modeling for point-of-interest recommendation. International Conference on Web Information Systems Engineering, Miami, FL, United States, 1-3 November 2015. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-26187-4_40

  • Yin, Hongzhi, Zhou, Xiaofang, Shao, Yingxia, Wang, Hao and Sadiq, Shazia (2015). Joint modeling of user check-in behaviors for point-of-interest recommendation. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourme, VIC, Australia, 19-23 October, 2015. New York , NY, United States: Association for Computing Machinery. doi: 10.1145/2806416.2806500

  • Yin, Hongzhi, Cui, Bin, Huang, Zi, Wang, Weiqing, Wu, Xian and Zhou, Xiaofang (2015). Joint modeling of users' interests and mobility patterns for point-of-interest recommendation. 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, QLD, Australia, 26-30 October, 2015. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/2733373.2806339

  • Dou, Mengyu, He, Tieke, Yin, Hongzhi, Zhou, Xiaofang, Chen, Zhenyu and Luo, Bin (2015). Predicting passengers in public transportation using smart card data. 26th Australasian Database Conference (ADC), Melbourne Australia, 4-7 June 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-19548-3_3

  • He, Tieke, Yin, Hongzhi, Chen, Zhenyu, Zhou, Xiaofang and Luo, Bin (2015). Predicting users' purchasing behaviors using their browsing history. 26th Australasian Database Conference (ADC), Melbourne, Australia, 4-7 June 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-19548-3_11

  • Yin, Hongzhi, Cui, Bin, Chen, Ling, Hu, Zhiting and Huang, Zi (2014). A temporal context-aware model for user behavior modeling in social media systems. 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, UT United States, 22-27 June 2014. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2588555.2593685

  • Yin, Hongzhi, Cui, Bin, Lu, Hua, Huang, Yuxin and Yao, Junjie (2013). A unified model for stable and temporal topic detection from social media data. International Conference on Data Engineering, Brisbane, Australia, 8-11 April 2013. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/ICDE.2013.6544864

  • Yin, Hongzhi, Sun, Yizhou, Cui, Bin, Hu, Zhiting and Chen, Ling (2013). LCARS: a location-content-aware recommender system. 19th ACM SIGKDD Knowledge Discovery and Data Mining, Chicago, IL, United States, 11-14 August 2013. New York, NY, United States: ACM. doi: 10.1145/2487575.2487608

  • Chen, Chen, Yin, Hongzhi, Yao, Junjie and Cui, Bin (2013). TeRec: a temporal recommender system over tweet stream. VLDB2013: 39th International Conference on Very Large Data Bases, Riva del Garda, Trento, Italy, 26-30 August, 2013. New York, NY, USA: Association for Computing Machinery. doi: 10.14778/2536274.2536289

  • Yin, Hongzhi, Cui, Bin, Li, Jing, Yao, Junjie and Chen, Chen (2012). Challenging the long tail recommendation. 38th International Conference on Very Large Data Bases 2012, (VLDB 2012), Istanbul, Turkey, 27-31 August 2012. New York, NY United States: Association for Computing Machinery. doi: 10.14778/2311906.2311916

  • Yin, Hongzhi, Cui, Bin and Huang, Yuxin (2011). Finding a wise group of experts in social networks. ADMA 2011: 7th International Conference on Advanced Data Mining and Applications, Beijing, China, 17-19 December, 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25853-4_29

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Completed Supervision