Tianren Peng

11 papers B 7Journal 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework.
CoRR
Qingyue Zhang, Chang Chu, Haohao Fu, Tianren Peng, Yanru Wu, Guanbo Huang, Yang Li, Shao-Lun Huang
2025 J jnl
A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound.
CoRR
Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang
2025 B conf
Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing.
ISIT
Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang
2025 J jnl
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis.
CoRR
Qingyue Zhang, Chang Chu, Tianren Peng, Qi Li, Xiangyang Luo, Zhihao Jiang, Shao-Lun Huang
2025 J jnl
On Theoretical Interpretations of Concept-Based In-Context Learning.
CoRR
Huaze Tang, Tianren Peng, Shao-Lun Huang
2025 B conf
On the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted Mse.
ISIT
Tianren Peng, Qi Li, Shao-Lun Huang
2024 B conf
On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain.
ITW
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024 B conf
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.
ISIT
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024 B conf
The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss.
ITW
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2023 B conf
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.
ISIT
Xinyi Tong, Tianren Peng, Shao-Lun Huang
2022 B conf
A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle.
ISIT
Tianren Peng, Weida Wang, Shao-Lun Huang