Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. - Chihao Zhang 002; Yang Yang; Wei Zhang; Shihua Zhang (CoRR, 2020)

Robust Bayesian matrix decomposition with mixture of Gaussian noise. - Haohui Wang; Chihao Zhang 002; Shihua Zhang (Neurocomputing, 2021)

Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. - Chihao Zhang 002; Shihua Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. - Chihao Zhang 002; Yiling Elaine Chen; Shihua Zhang; Jingyi Jessica Li (J. Mach. Learn. Res., 2022)

Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. - Chihao Zhang 002; Yang Yang; Wei Zhou 011; Shihua Zhang (IEEE Trans. Knowl. Data Eng., 2022)

A Python Package itca for Information-Theoretic Classification Accuracy: A Criterion That Guides Data-Driven Combination of Ambiguous Outcome Labels in Multiclass Classification. - Chihao Zhang 002; Shihua Zhang; Jingyi Jessica Li (J. Comput. Biol., 2023)

Dynamical causality under invisible confounders. - Jinling Yan; Shao-Wu Zhang; Chihao Zhang 002; Weitian Huang; Jifan Shi; Luonan Chen (CoRR, 2024)

Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. - Chihao Zhang 002; Kuo Gai; Shihua Zhang (Pattern Recognit., 2024)