On the Minimum Entropy of a Mixture of Unimodal and Symmetric Distributions. - Ting-Li Chen; Stuart Geman (IEEE Trans. Inf. Theory, 2008)

A Markov Random Field Model for Medical Image Denoising. - Ting-Li Chen (BMEI, 2009)

On the Optimal Transition Matrix for Markov Chain Monte Carlo Sampling. - Ting-Li Chen; Wei-Kuo Chen; Chii-Ruey Hwang; Hui-Ming Pai (SIAM J. Control. Optim., 2012)

On the Convergence and Consistency of the Blurring Mean-Shift Process - Ting-Li Chen (CoRR, 2013)

Minimizing variable selection criteria by Markov chain Monte Carlo. - Yen-Shiu Chin; Ting-Li Chen (Comput. Stat., 2016)

On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation. - Ting-Li Chen; Hironori Fujisawa; Su-Yun Huang; Chii-Ruey Hwang (J. Multivar. Anal., 2016)

Optimal Variance Reduction for Markov Chain Monte Carlo. - Lu-Jing Huang; Yin-Ting Liao; Ting-Li Chen; Chii-Ruey Hwang (SIAM J. Control. Optim., 2018)

On asymptotic normality of cross data matrix-based PCA in high dimension low sample size. - Shao-Hsuan Wang; Su-Yun Huang; Ting-Li Chen (J. Multivar. Anal., 2020)

Categorical Nature of Major Factor Selection via Information Theoretic Measurements. - Ting-Li Chen; Elizabeth P. Chou; Fushing Hsieh (Entropy, 2021)

Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis. - Fushing Hsieh; Elizabeth P. Chou; Ting-Li Chen (Entropy, 2021)

Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics. - Ting-Li Chen; Fushing Hsieh; Elizabeth P. Chou (Entropy, 2022)

Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems. - Elizabeth P. Chou; Ting-Li Chen; Fushing Hsieh (Entropy, 2022)

Few-shot transfer learning for personalized atrial fibrillation detection using patient-based siamese network with single-lead ECG records. - Yiuwai Ng; Min-Tsun Liao; Ting-Li Chen; Chih-Kuo Lee; Cheng-Ying Chou; Weichung Wang (Artif. Intell. Medicine, 2023)

Multimodal deep learning models utilizing chest X-ray and electronic health record data for predictive screening of acute heart failure in emergency department. - Chih-Kuo Lee; Ting-Li Chen; Jeng-En Wu; Min-Tsun Liao; Chiehhung Wang; Weichung Wang; Cheng-Ying Chou (Comput. Methods Programs Biomed., 2024)

Randomized self-updating process for clustering large-scale data. - Shang-Ying Shiu; Yen-Shiu Chin; Szu-Han Lin; Ting-Li Chen (Stat. Comput., 2024)