| Deep learning models for serendipity recommendations: a survey and new perspectives Z Fu, X Niu, ML Maher ACM Computing Surveys 56 (1), 1-26, 2023 | 16 | 2023 |
| TRACE: Travel reinforcement recommendation based on location-aware context extraction Z Fu, L Yu, X Niu ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-22, 2022 | 13 | 2022 |
| Wisdom of crowds and fine-grained learning for serendipity recommendations Z Fu, X Niu, L Yu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Modeling Users’ Curiosity in Recommender Systems Z Fu, X Niu ACM Transactions on Knowledge Discovery from Data 18 (1), 1-23, 2023 | 3 | 2023 |
| How Does User Engagement Support Content Moderation? A Deep Learning-based Comparative Study K Wang, Z Fu, L Zhou, D Zhang | 2 | 2023 |
| CE‐DIFF: An Approach to Identifying and Coping with Irregular Ratings in Collaborative Decision Making L Yu, D Zhang, Z Fu Decision Sciences 52 (6), 1432-1451, 2021 | 2 | 2021 |
| Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems X Niu, R Rahman, X Wu, Z Fu, D Xu, R Qiu 2023 IEEE International Conference on Big Data (BigData), 352-359, 2023 | 1 | 2023 |
| The Art of Asking: Prompting Large Language Models for Serendipity Recommendations Z Fu, X Niu Proceedings of the 2024 ACM SIGIR International Conference on Theory of …, 2024 | | 2024 |
| Predicting Sales Lift of Influencer-generated Short Video Advertisements: A Ladder Attention-based Multimodal Time Series Forecasting Framework Z Fu, K Wang, J Wang, Y Zhu | | 2024 |
| Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach Z Fu, K Wang, W Xin, L Zhou, S Chen, Y Ge, D Janies, D Zhang | | 2024 |
| 基于使用行为分析的共享单车管理优化研究 傅哲， 辛泓润， 余力， 徐冠宇 收藏 2, 2018 | | 2018 |
Xi (Sunshine) NiuAssociate Professor, University of North Carolina at Charlotte在 uncc.edu 的电子邮件经过验证
Xi (Sunshine) NiuAssociate Professor, University of North Carolina at Charlotte在 uncc.edu 的电子邮件经过验证