A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. - Tianren Peng; Weida Wang; Shao-Lun Huang (ISIT, 2022)

An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. - Xinyi Tong 002; Tianren Peng; Shao-Lun Huang (ISIT, 2023)

Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ISIT, 2024)

On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound. - Qingyue Zhang; Haohao Fu; Guanbo Huang; Yaoyuan Liang; Chang Chu; Tianren Peng; Yanru Wu; Qi Li; Yang Li; Shao-Lun Huang (CoRR, 2025)