Featured Publications

Publications Winning Best Paper Awards/Runner-up/Candidate

1. Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin*. "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation". The 16th ACM International WSDM Conference (WSDM'23), Singapore, February 27 to March 3, 2023. (CCF Rank B, CORE Rank A*; Corresponding author).

2. Mubashir Imran, Hongzhi Yin*, Tong Chen, Yingxia Shao, Xiangliang Zhang and Xiaofang Zhou. "Decentralized Embedding Framework for Large-scale Networks". DASFAA'20, Jeju, South Koren, 2020. (CCF Rank B; Best Student Paper Award, Corresponding author and contributing equally with the first author).

3. Hongzhi Yin*, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou. "Social Influence-based Group Representation Learning for Group Recommendation". 35th IEEE International Conference on Data Engineering (ICDE'19), Macau SAR. April, 2019. (CCF Rank A, CORE Rank A*, Best Paper Award, Code Download, Slides).

4. 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,CORE Rank A, 21st Annual Best of Computing Notable Books and Articles, Top-2 cited paper among all TOIS'16 papers)

5. 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. (CORE Rank A*, Acceptance Rate=8.86%, Codes Download. This paper has been selected as one of the best papers and invited for publication in Knowledge and Information Systems. The first author is supervised by Dr. Hongzhi Yin).

6. Qinyong Wang, Hongzhi Yin*, Hao Wang, Zi Huang. "TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation". ADC'18,  Gold Coast, Australia, 2018.

7. 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. 

8. 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)

Publications Recognized Most Influential or Cited Papers

9. Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin*. "Interaction-level Membership Inference Attack Against Federated Recommender Systems".  International World Wide Web Conference 2023 (WWW'23), AUSTIN, TEXAS, USA, APRIL 30 - MAY 4, 2023. (CCF Rank A, CORE Rank A*; Corresponding Author).

10. Junliang Yu, Hongzhi Yin*, Xin Xia, Tong Chen, Lizhen Cui and Quoc Viet Hung Nguyen . "Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation". The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22), July, 2022. (CCF Rank A, CORE Rank A*; Corresponding author).

11. Junliang Yu, Hongzhi Yin*, Min Gao, Xin Xia, Xiangliang Zhang, Quoc Viet Hung Nguyen. "Socially-Aware Self-Supervised Tri-Training for Recommendation". The 27th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD'21), Singapore. August, 2021. (CCF Rank A, CORE Rank A*; Corresponding author and contributing equally with the first author).

12. Xin Xia, Hongzhi Yin*, Junliang Yu, Yingxia Shao,  and Lizhen Cui. "Self-Supervised Co-Training for Session-based Recommendation".  The 30th ACM International Conference on Information and Knowledge Management (CIKM'21), October, 2021. (CCF Rank B, CORE Rank A; Corresponding author and contributing equally with the first author).

13. Junliang Yu, Hongzhi Yin*, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung and Xiangliang Zhang. "Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation". The Web Conference 2021 (WWW'21), April, 2021. (CCF Rank A, CORE Rank A*, Codes; Corresponding author and contributing equally with the first author).

14. Xin Xia, Hongzhi Yin*, Junliang Yu, Qinyong Wang, Lizhen Cui, and Xiangliang Zhang. "Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation". Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Feburary, 2021. (CCF Rank A, CORE Rank A*; Corresponding Author).

15. Ruihong Qiu, Jingjing Li, Zi Huang and Hongzhi Yin*. "Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks". The 28th ACM International Conference on Information and Knowledge Management (CIKM'19), Beijing, China, October, 2019. (Corresponding Author,CCF Rank B, CORE Rank A, Codes).

16. 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, Top-2 cited paper among all CIKM'16 paper, Slides Download,, The first author was supervised by Dr Hongzhi Yin. Codes Download)

17. 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)

18. 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, The most cited paper among all KDD'13 papers with oral presentation)

19. 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*, Top-2 cited paper among all ICDE'16 papers, Slides Download, Codes(PWD:nm0t)).

20. 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,CORE Rank A*, Codes Download, Top-3 cited paper among all 240+ TKDE'16 regular research papers)

21. 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,CORE Rank A*, Q1 Journal, Codes Download)

22. Junliang Yu, Hongzhi Yin*, Jundong Li, Min Gao, Zi Huang, Lizhen Cui. "Enhance Social Recommendation with Adversarial Graph Convolutional Networks". IEEE Transactions on Knowledge and Data Engineering. 2022. (TKDE'22). (Corresponding author and having equal contribution with the first author, CCF Rank A, CORE Rank A*, Q1 Journal,Codes,  ESI Highly Cited Paper)

23. Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, and Xiaofang Zhou. "Preference-aware Task Assignment in Spatial Crowdsourcing: from Individuals to Groups". IEEE Transactions on Knowledge and Data Engineering. 2022. (TKDE'22). (CCF Rank A, CORE Rank A*, Q1 Journal, ESI Highly Cited Paper)