Survey and Benchmarking Papers

Survey and Benchmarking Papers （* means corresponding author）

1. Junliang Yu, Hongzhi Yin*, Xin Xia, Tong Chen, Jundong Li, Zi Huang. "Self-Supervised Learning for Recommender Systems: A Survey". Accepted by IEEE Transactions on Knowledge and Data Engineering. 2023. (TKDE'23). (CCF Rank A, CORE Rank A*, Q1 Journal)

2. Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin*.  "AutoML for Deep Recommender Systems: A Survey". ACM Transactions on Information Systems. 2023. (TOIS'23). (CCF Rank A, CORE Rank A, Q1 Journal) 

3. Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin*. "Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures" . ACM Computing Surveys (CSUR) 2024. (CCF Rank A, CORE Rank A*, Q1 Journal) 

4. Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang. "On-Device Recommender Systems: A Comprehensive Survey". Data Science and Engineering 2025. (Q1 Journal, 中科院一区)

5. Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin*. "Graph Condensation: A Survey". IEEE Transactions on Knowledge and Data Engineering 2025. (TKDE'25). (CCF Rank A, CORE Rank A*, Q1 Journal) 

6. Hung Vinh Tran, Tong Chen,  Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin*.  "A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems". ACM Transactions on Information Systems. 2025. (TOIS'25). (CCF Rank A, CORE Rank A, Q1 Journal) 

7. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin*, Quoc Viet Hung Nguyen. "A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures". Science China Information Sciences, 2025. (SCIS'25). (CCF Rank A, Q1 Journal)

8. Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin*. "A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security". IEEE Transactions on Knowledge and Data Engineering 2025. (TKDE'25). (CCF Rank A, CORE Rank A*, Q1 Journal) 

9. Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen. "A Survey of Machine Unlearning". ACM Transactions on Intelligent Systems and Technology 2025. (TIST'25) (Q1 Journal) 

10. Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming. "A Survey on Sequential Recommendation". Frontiers of Computer Science 2025. (CCF B, Q1 Journal)

11. Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin*, Wentao Zhang. "A Comprehensive Survey on Imbalanced Data Learning". Frontiers of Computer Science 2026. (CCF B, Q1 Journal)

12. Thanh Tam Nguyen, Zhao Ren, Trinh Pham, Phi Le Nguyen, Quoc Viet Hung Nguyen, Hongzhi Yin*. "A Review of Instruction-Guided Image Editing in LLM era". Engineering Applications of Artificial Intelligence 2025. (Q1,中科院一区)

13. Regina (Qianru) Zhang, Yuting Sun,  Honggang Wen, Peng Yang, Xinzhu Li, Ming Li, Kwok-Yan Lam, Pietro Liò, Siu-Ming Yiu, Hongzhi Yin*.  "Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks".  ACM Computing Surveys 2027. (IF:30.4)

14. Zongwei Wang, Min Gao, Junliang Yu, Sijia Li, Lei Zhou, Tong Chen, Shazia Sadiq, Hongzhi Yin*. "Secure Recommender Systems: A Co-evolutionary Survey of Vulnerabilities, Attacks, and Defenses". ACM Transactions on Information Systems. 2026. (TOIS'26). (CCF Rank A, CORE Rank A, Q1 Journal, 中科院一区) 

15. Qianru Zhang, Haixin Wang, Honggang Wen, Cheng Long, Xingwei He, Tailin Wu, Christian S. Jensen, Siu-Ming Yiu, Hongzhi Yin*. "A Survey of Generative Techniques for Spatial-Temporal Data Mining". Data Science and Engineering 2026. (Q1, 中科院一区)

16. Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin et al. "TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models". The Fourteenth International Conference on Learning Representations (ICLR'26), April 23-27,Rio de Janeiro, Brazil. (CCF A, CORE A*)

17. Jiaqi Zhang, Junliang Yu, Zongwei Wang, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin*. "Towards Reasoning-Aware Recommender Systems: A Survey in the LLM Era".

18. Regina Zhang, Siqi Goh, Xingsheng Chen, Zongru Li, Honggang Wen, Jiale Guo, Menglin Yang, Hongzhi Yin, Qiang Yang, Siu-Ming Yiu, Kwok-Yan Lam. "From Prompts to Agents: A Comprehensive Survey of LLM-Driven Time Series Analysis". 10.5281/zenodo.17491653