Dongsheng Li
Dongsheng Li
Microsoft Research Asia
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Providing computation services with privacy
SM Chu, T Enders, DS Li, P Srivastava, J Yan, T Yoshioka
US Patent 10,333,715, 2019
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
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
Efficient privacy-preserving content recommendation for online social communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
Neurocomputing 219, 440–454, 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
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
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
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
How powerful is graph convolution for recommendation?
Y Shen, Y Wu, Y Zhang, C Shan, J Zhang, BK Letaief, D Li
Proceedings of the 30th ACM international conference on information …, 2021
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
X Li, R Zhu, Y Cheng, C Shan, S Luo, D Li, W Qian
Proceedings of the 39th International Conference on Machine Learning (ICML '22), 2022
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
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
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
GLOMA: Embedding global information in local matrix approximation models for collaborative filtering
C Chen, D Li, Q Lv, J Yan, L Shang, S Chu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Invariant information bottleneck for domain generalization
B Li, Y Shen, Y Wang, W Zhu, D Li, K Keutzer, H Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7399-7407, 2022
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
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