Explainable recommendation with fusion of aspect information Y Hou, N Yang, Y Wu, PS Yu World Wide Web 22 (1), 221–240, 2019 | 84 | 2019 |
Deep Collaborative Embedding for information cascade prediction Y Zhao, N Yang, T Lin, PS Yu Knowledge-Based Systems 193 (4), 105502, 2020 | 26 | 2020 |
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events N Yang, X Kong, F Wang, PS Yu 2014 SIAM International Conference on Data Mining (SDM 2014), 515-523, 2014 | 25 | 2014 |
Contrastive Collaborative Filtering for Cold-Start Item Recommendation Z Zhou, L Zhang, N Yang WWW '23: Proceedings of the ACM Web Conference 2023, 928–937, 2023 | 24 | 2023 |
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations N Yang, Y Ma, L Chen, PS Yu World Wide Web 23 (1), 241–265, 2020 | 18 | 2020 |
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning X Zhao, N Yang, PS Yu WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web …, 2022 | 12 | 2022 |
Time lag aware sequential recommendation L Chen, N Yang, PS Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations H Luo, N Yang, PS Yu 2019 IEEE International Conference on Big Data (Big Data), 870-879, 2019 | 9 | 2019 |
Dual Adversarial Variational Embedding for Robust Recommendation Q Yi, N Yang, PS Yu IEEE Transactions on Knowledge and Data Engineering, 2021 | 8 | 2021 |
Collaborative Inference of Coexisting Information Diffusions Y Sun, C Qian, N Yang, PS Yu 2017 IEEE International Conference on Data Mining (ICDM 2017), 1093-1098, 2017 | 8 | 2017 |
Mining interventions from parallel event sequences N Yang, C Tang, Y Wang, R Tang, C Li, J Zheng, J Zhu In: Proc. of APWeb-WAIM 2009, 2009 | 8 | 2009 |
Mining hotspots from multiple text streams based on stream information distance 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌, 李红军 Journal of Software 22 (8), 1761-1770, 2011 | 7 | 2011 |
Clustering algorithm on data stream with skew distribution based on density N Yang, C Tang, Y Wang J Softw 21 (5), 1031-1041, 2010 | 7 | 2010 |
Efficient Hidden Trajectory Reconstruction from Sparse Data N Yang, PS Yu ACM 25th Conference on Information and Knowledge Management (CIKM'16), 2016 | 6 | 2016 |
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning Z Du, N Yang, Z Yu, PS Yu IEEE Transactions on Knowledge and Data Engineering, 2022 | 5 | 2022 |
Explicable Location Prediction Based on Preference Tensor Model D Zhang, N Yang, Y Ma Proc. of WAIM 2016, 205-216, 2016 | 4 | 2016 |
Predicting Neighbor Distribution in Heterogeneous Information Networks Y Ma, N Yang, C Li, L Zhang, PS Yu The 15th SIAM International Conference on Data Mining (SDM 2015), 2015 | 4 | 2015 |
Social roles discovery of moving objects based on spatial temporal associated semantics and temporal entropy of trajectories MA Yuchi, Y Ning, XIE Lin Journal of computer research and development 49 (10), 2153-2160, 2012 | 4 | 2012 |
Robust log-based anomaly detection with hierarchical contrastive learning Y Zhao, R Yang, N Yang, T Lin, Q Fu, Y Ma ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach N Yang, L He, Z Li, PS Yu Data Mining and Knowledge Discovery 31 (3), 879-906, 2017 | 2 | 2017 |