| 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 | 103 | 2016 |
| Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data Yingying Zhao, Dongsheng Li, Ao Dong, Dahai Kang, Qin Lv, Li Shang Energies 10 (8), 2017 | 85 | 2017 |
| Interest-based real-time content recommendation in online social communities D Li, Q Lv, X Xie, L Shang, H Xia, T Lu, N Gu Knowledge-based systems 28, 1-12, 2012 | 73 | 2012 |
| 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 | 49 | 2015 |
| Efficient privacy-preserving content recommendation for online social communities Dongsheng Li, Qin Lv, Li Shang, Ning Gu Neurocomputing 219, 440–454, 2017 | 43 | 2017 |
| Pistis: A privacy-preserving content recommender system for online social communities D Li, Q Lv, H Xia, L Shang, T Lu, N Gu 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011 | 43 | 2011 |
| Low-rank matrix approximation with stability Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu Proceedings of the 33rd International Conference on Machine Learning, 2016 | 42 | 2016 |
| Providing computation services with privacy SM Chu, T Enders, DS Li, P Srivastava, J Yan, T Yoshioka US Patent 10,333,715, 2019 | 35 | 2019 |
| 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 | 32 | 2017 |
| MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang The 25th International Joint Conference on Artificial Intelligence (IJCAI-16 …, 2016 | 28 | 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 Proceedings of the 2018 World Wide Web Conference, 741-751, 2018 | 25 | 2018 |
| Item-based top-N recommendation resilient to aggregated information revelation D Li, Q Lv, L Shang, N Gu Knowledge-Based Systems 67, 290-304, 2014 | 24 | 2014 |
| Learning invariant representations and risks for semi-supervised domain adaptation B Li, Y Wang, S Zhang, D Li, K Keutzer, T Darrell, H Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| Fault Prognosis of Wind Turbine Generator Using SCADA Data Yingying Zhao, Dongsheng Li, Ao Dong, Jiajia Lin, Dahai Kang, Li Shang The 48th North American Power Symposium (NAPS), 2016 | 20 | 2016 |
| GLOMA: Embedding global information in local matrix approximation models for collaborative filtering C Chen, D Li, Q Lv, J Yan, L Shang, SM Chu Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 19 | 2017 |
| Hierarchical Anomaly Detection and Multimodal Classification in Large-Scale Photovoltaic Systems Yingying Zhao, Qi Liu, Dongsheng Li, Dahai Kang, Qin Lv, Li Shang IEEE Transactions on Sustainable Energy, 2018 | 18 | 2018 |
| Gated and attentive neural collaborative filtering for user generated list recommendation Chao Yang, Lianhai Miao, Bin Jiang, Dongsheng Li, Da Cao Knowledge-Based Systems 187, 2020 | 15 | 2020 |
| Collaborative fault detection for large-scale photovoltaic systems Y Zhao, D Li, T Lu, Q Lv, N Gu, L Shang IEEE Transactions on Sustainable Energy 11 (4), 2745-2754, 2020 | 11 | 2020 |
| ERMMA: Expected risk minimization for matrix approximation-based recommender systems D Li, C Chen, Q Lv, L Shang, S Chu, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 11 | 2017 |
| YANA: an efficient privacy-preserving recommender system for online social communities D Li, Q Lv, L Shang, N Gu Proceedings of the 20th ACM international conference on Information and …, 2011 | 11 | 2011 |
Li ShangUniversity of Colorado BoulderVerified email at colorado.edu
