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
Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Y Shen, K Song, X Tan, D Li, W Lu, Y Zhuang
arXiv preprint arXiv:2303.17580, 2023
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
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
Efficient privacy-preserving content recommendation for online social communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
Neurocomputing 219, 440–454, 2017
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
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
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
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
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
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
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
Cross-modal ambiguity learning for multimodal fake news detection
Y Chen, D Li, P Zhang, J Sui, Q Lv, L Tun, L Shang
Proceedings of the ACM Web Conference 2022, 2897-2905, 2022
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
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