Zhaiming Shen

According to our database, Zhaiming Shen authored at least 17 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer.

Alexander Hsu, Zhaiming Shen, Wenjing Liao, Rongjie Lai

CoRR, May, 2026

2025

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods.

Zhaiming Shen, Alexander Hsu, Rongjie Lai, Wenjing Liao

CoRR, June, 2025

Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights.

Zhaiming Shen, Alex Havrilla, Rongjie Lai, Alexander Cloninger, Wenjing Liao

CoRR, May, 2025

Graph-based Semi-supervised and Unsupervised Methods for Local Clustering.

Zhaiming Shen, Sung Ha Kang

CoRR, April, 2025

2024

Maximal volume matrix cross approximation for image compression and least squares solution.

Kenneth Allen, Ming-Jun Lai, Zhaiming Shen

Adv. Comput. Math., October, 2024

Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique.

Jackson Hamel, Ming-Jun Lai, Zhaiming Shen, Ye Tian

CoRR, 2024

Tree-based Ensemble Learning for Out-of-distribution Detection.

Zhaiming Shen, Menglun Wang, Guang Cheng, Ming-Jun Lai, Lin Mu, Ruihao Huang, Qi Liu, Hao Zhu

CoRR, 2024

The Optimal Rate for Linear KB-splines and LKB-splines Approximation of High Dimensional Continuous Functions and its Application.

Ming-Jun Lai, Zhaiming Shen

CoRR, 2024

Network Tight Community Detection.

Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction.

Ming-Jun Lai, Zhaiming Shen

J. Sci. Comput., February, 2023

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes.

Zhaiming Shen, Ming-Jun Lai, Sheng Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Semi-supervised Local Cluster Extraction by Compressive Sensing.

Zhaiming Shen, Ming-Jun Lai, Sheng Li

CoRR, 2022

A Least Square Approach to Semi-supervised Local Cluster Extraction.

Ming-Jun Lai, Zhaiming Shen

CoRR, 2022

2021

The Kolmogorov Superposition Theorem can Break the Curse of Dimensionality When Approximating High Dimensional Functions.

Ming-Jun Lai, Zhaiming Shen

CoRR, 2021

2020

A Quasi-Orthogonal Matching Pursuit Algorithm for Compressive Sensing.

Ming-Jun Lai, Zhaiming Shen

CoRR, 2020

2015

The Exponential Map Is Chaotic: An Invitation to Transcendental Dynamics.

Zhaiming Shen, Lasse Rempe-Gillen

Am. Math. Mon., 2015

2014

Group Testing with Pools of Fixed Size.

David Cariolaro, Zhaiming Shen, Yi Zhang

CoRR, 2014