| Exploiting Geographical Neighborhood Characteristics for Location Recommendation Y Liu, W Wei, A Sun, C Miao Proceedings of the 23rd ACM International Conference Information and …, 2014 | 417 | 2014 |
| Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction Y Liu, M Wu, C Miao, P Zhao, XL Li PLOS Computational Biology, 2016 | 384 | 2016 |
| Personalized point-of-interest recommendation by mining users' preference transition X Liu, Y Liu, K Aberer, C Miao Proceedings of the 22nd ACM International Conference on Information …, 2013 | 347 | 2013 |
| Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction L Hu, A Sun, Y Liu Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 216 | 2014 |
| GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and …, 2019 | 165 | 2019 |
| Bootstrap Latent Representations for Multi-modal Recommendation X Zhou, H Zhou, Y Liu, Z Zeng, C Miao, P Wang, Y You, F Jiang Proceedings of the ACM Web Conference 2023, 2023 | 143 | 2023 |
| Exploring the Context of Locations for Personalized Location Recommendations X Liu, Y Liu, XL Li Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 138 | 2016 |
| Towards Persona-Based Empathetic Conversational Models P Zhong, C Zhang, H Wang, Y Liu, C Miao The 2020 Conference on Empirical Methods in Natural Language Processing, 2020 | 136 | 2020 |
| Graph-flashback network for next location recommendation X Rao, L Chen, Y Liu, S Shang, B Yao, P Han Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 123 | 2022 |
| Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph Y Liu, S Yang, Y Xu, C Miao, M Wu, J Zhang IEEE Transactions on Knowledge and Data Engineering, 2021 | 106 | 2021 |
| PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation Q Wu, Y Liu, C Miao, B Zhao, Y Zhao, L Guan Proceedings of 28th International Joint Conference on Artificial Intelligence, 2019 | 87 | 2019 |
| Pre-training Graph Transformer with Multimodal Side Information for Recommendation Y Liu, S Yang, C Lei, G Wang, H Tang, J Zhang, A Sun, C Miao The 29th ACM International Conference on Multimedia, 2021 | 86 | 2021 |
| Pre-training Graph Neural Networks for Link Prediction in Biomedical Networks Y Long, M Wu, Y Liu, Y Fang, J Chen, CK Kwoh, JL Luo, L Xiaoli Bioinformatics, 2022 | 85 | 2022 |
| Contextualized Point-of-Interest Recommendation P Han, Z Li, Y Liu, P Zhao, J Li, H Wang, S Shang Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 82 | 2020 |
| Diversified Interactive Recommendation with Implicit Feedback Y Liu, Y Xiao, Q Wu, C Miao, J Zhang, B Zhao, H Tang Proceedings of 34th AAAI Conference on Artificial Intelligence, 2020 | 79 | 2020 |
| Adaptive Course Recommendation in MOOCs Y Lin, S Feng, W Zeng, F Lin, Y Liu, P Wu Knowledge-Based Systems, 2021 | 78 | 2021 |
| Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks L Zou, X Zhu, C Wu, Y Liu, L Qu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 77 | 2020 |
| SELFCF: A Simple Framework for Self-supervised Collaborative Filtering X Zhou, A Sun, Y Liu, J Zhang, C Miao ACM Transactions on Recommender Systems, 2023 | 75 | 2023 |
| How Can Recommender Systems Benefit from Large Language Models: A Survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems, 2024 | 68 | 2024 |
| A Survey on Reinforcement Learning for Recommender Systems Y Lin, Y Liu, F Lin, P Wu, W Zeng, C Miao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 68 | 2023 |
Chunyan MiaoNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
