Chihao Zhang

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Graph Generation with Spectral Geodesic Flow Matching. CoRR Xikun Huang, Tianyu Ruan, Chihao Zhang, Shihua Zhang
2024	J	`jnl`	Dynamical causality under invisible confounders. CoRR Jinling Yan, Shao-Wu Zhang, Chihao Zhang, Weitian Huang, Jifan Shi, Luonan Chen
2024	J	`jnl`	Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. Pattern Recognit. Chihao Zhang, Kuo Gai, Shihua Zhang
2023	J	`jnl`	A Python Package J. Comput. Biol. Chihao Zhang, Shihua Zhang, Jingyi Jessica Li
2022	J	`jnl`	Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. IEEE Trans. Knowl. Data Eng. Chihao Zhang, Yang Yang, Wei Zhou, Shihua Zhang
2022	J	`jnl`	Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. J. Mach. Learn. Res. Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
2021	J	`jnl`	Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. IEEE Trans. Pattern Anal. Mach. Intell. Chihao Zhang, Shihua Zhang
2021	J	`jnl`	Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. CoRR Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
2021	J	`jnl`	Robust Bayesian matrix decomposition with mixture of Gaussian noise. Neurocomputing Haohui Wang, Chihao Zhang, Shihua Zhang
2020	J	`jnl`	Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. CoRR Chihao Zhang, Yang Yang, Wei Zhang, Shihua Zhang
2019	J	`jnl`	Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. CoRR Chihao Zhang, Kuo Gai, Shihua Zhang
2017	J	`jnl`	Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. CoRR Chihao Zhang, Shihua Zhang