| An algorithm for efficient privacy-preserving item-based collaborative filtering D Li, C Chen, Q Lv, L Shang, Y Zhao, T Lu, N Gu Future Generation Computer Systems 55, 311-320, 2016 | 107 | 2016 |
| WEMAREC: Accurate and scalable recommendation through weighted and ensemble matrix approximation C Chen, D Li, Y Zhao, Q Lv, L Shang Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 50 | 2015 |
| Low-rank matrix approximation with stability D Li, C Chen, Q Lv, J Yan, L Shang, S Chu Proceedings of the 38th International Conference on Machine Learning 951, 16, 2016 | 44 | 2016 |
| Unsupervised detection of contextual anomaly in remotely sensed data Q Liu, R Klucik, C Chen, G Grant, D Gallaher, Q Lv, L Shang Remote Sensing of Environment 202, 75-87, 2017 | 36 | 2017 |
| Mixture-rank matrix approximation for collaborative filtering D Li, C Chen, W Liu, T Lu, N Gu, S Chu Advances in Neural Information Processing Systems 30, 2017 | 34 | 2017 |
| MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 31 | 2016 |
| AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering D Li, C Chen, Q Lv, H Gu, T Lu, L Shang, N Gu, SM Chu International World Wide Web Conference, WWW, 2018 | 26 | 2018 |
| GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering C Chen, D Li, Q Lv, J Yan31, L Shang, SM Chu AAAI 2017, 2017 | 20 | 2017 |
| ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems D Li, C Chen, Q Lv, L Shang, SM Chu, H Zha AAAI 2017, 2017 | 14 | 2017 |
| Mixture matrix approximation for collaborative filtering D Li, C Chen, T Lu, SM Chu, N Gu IEEE Transactions on Knowledge and Data Engineering 33 (6), 2640-2653, 2019 | 9 | 2019 |
| Collaborative Filtering with Noisy Ratings L Dongsheng, C Chen, Z Gong, T Lu, SM Chu, N Gu Proceedings of the 2019 SIAM International Conference on Data Mining, pp …, 2019 | 6 | 2019 |
| Modeling dynamic user preference via dictionary learning for sequential recommendation C Chen, D Li, J Yan, X Yang IEEE Transactions on Knowledge and Data Engineering, 2021 | 5 | 2021 |
| Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning C Chen, D Li, J Yan, H Huang, X Yang The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 4 | 2021 |
| Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation C Chen, H Geng, N Yang, J Yan, D Xue, J Yu, X Yang International Conference on Machine Learning, 1606-1616, 2021 | 2 | 2021 |
| NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering D Li, H Liu, C Chen, Y Zhao, SM Chu, B Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-20, 2021 | 2 | 2021 |
Dongsheng LiMicrosoft Research AsiaVerified email at microsoft.com
