Chihao Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Singular Values

Dimension Reduction

Data Integration

Classification Accuracy

Top Venues

Pattern Recognit.

J. Comput. Biol.

J. Mach. Learn. Res.

Publications

Chihao Zhang, Kuo Gai, Shihua Zhang
Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. Pattern Recognit. 154 (2024)
Chihao Zhang, Shihua Zhang, Jingyi Jessica Li
for Information-Theoretic Classification Accuracy: A Criterion That Guides Data-Driven Combination of Ambiguous Outcome Labels in Multiclass Classification. J. Comput. Biol. 30 (11) (2023)
Chihao Zhang, Yang Yang, Wei Zhou, Shihua Zhang
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. J. Mach. Learn. Res. 23 (2022)
Haohui Wang, Chihao Zhang, Shihua Zhang
Robust Bayesian matrix decomposition with mixture of Gaussian noise. Neurocomputing 449 (2021)
Chihao Zhang, Shihua Zhang
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. CoRR (2021)
Chihao Zhang, Yang Yang, Wei Zhang, Shihua Zhang
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. CoRR (2020)
Chihao Zhang, Kuo Gai, Shihua Zhang
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. CoRR (2019)
Chihao Zhang, Shihua Zhang
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. CoRR (2017)