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Chao Chen
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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
1342016
WEMAREC: Accurate and scalable recommendation through weighted and ensemble matrix approximation
C Chen, D Li, Y Zhao, Q Lv, L Shang
Proceedings of the international ACM SIGIR conference on research and …, 2015
562015
Low-rank matrix approximation with stability
D Li, C Chen, Q Lv, J Yan, L Shang, S Chu
Proceedings of the International Conference on Machine Learning 951, 295-303, 2016
522016
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
502017
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
422017
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
362018
Resistance training using prior bias: toward unbiased scene graph generation
C Chen, Y Zhan, B Yu, L Liu, Y Luo, B Du
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 212-220, 2022
352022
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
C Chen, D Li, Q Lv, J Yan, SM Chu, L Shang
Proceedings of the International Joint Conference on Artificial Intelligence …, 2016
332016
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
C Chen, D Li, Q Lv, J Yan, L Shang, SM Chu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2017 …, 2017
232017
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 34 (11), 5446-5458, 2022
172022
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
C Chen, D Li, J Yan, H Huang, X Yang
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21), 2021
152021
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems
D Li, C Chen, Q Lv, L Shang, SM Chu, H Zha
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2017), 2017
152017
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
Proceedings of the International Conference on Machine Learning, 1606-1616, 2021
142021
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, 2021
122021
Collaborative Filtering with Noisy Ratings
L Dongsheng, C Chen, Z Gong, T Lu, SM Chu, N Gu
Proceedings of the International Conference on Data Mining, pp. 747-755, 2019
12*2019
Pyramid Graph Neural Network: a Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations
H Geng, C Chen, Y He, G Zeng, Z Han, H Chai, J Yan
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data …, 2023
62023
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
52021
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
C Chen, H Geng, G Zeng, Z Han, H Chai, X Yang, J Yan
Proceedings of the International Conference on Learning Representations, 2023
42023
Easydgl: Encode, train and interpret for continuous-time dynamic graph learning
C Chen, H Geng, N Yang, X Yang, J Yan
arXiv preprint arXiv:2303.12341, 2023
32023
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