Chao Chen

According to our database, Chao Chen authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning.

Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan

CoRR, 2023

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations.

Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution.

Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.

Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang

IEEE Trans. Knowl. Data Eng., 2022

2021

Mixture Matrix Approximation for Collaborative Filtering.

Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu

IEEE Trans. Knowl. Data Eng., 2021

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering.

Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang

ACM Trans. Knowl. Discov. Data, 2021

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation.

Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning.

Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Collaborative Filtering with Noisy Ratings.

Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Synergizing Local and Global Models for Matrix Approximation.

Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Collaborative Filtering with Stability.

Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

CoRR, 2018

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering.

Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Mixture-Rank Matrix Approximation for Collaborative Filtering.

Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems.

Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.

Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An algorithm for efficient privacy-preserving item-based collaborative filtering.

Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu

Future Gener. Comput. Syst., 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.

Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Matrix Approximation with Stability.

Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation.

Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, Li Shang

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015