Hao Wu
Orcid: 0000-0002-4138-1239Affiliations:
- Southwest University, College of Computer and Information Science, Chongqing, China
- Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China
- University of Chinese Academy of Sciences, Beijing, China (PhD 2022)
According to our database1,
Hao Wu
authored at least 10 papers
between 2020 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors.
IEEE Trans. Knowl. Data Eng., June, 2023
Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-8933-9, 2023
2022
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes.
IEEE Trans. Serv. Comput., 2022
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis.
IEEE CAA J. Autom. Sinica, 2022
2021
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data.
IEEE Trans Autom. Sci. Eng., 2021
Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors.
IEEE Trans. Cybern., 2020