Group Testing with Pools of Fixed Size. - David Cariolaro; Zhaiming Shen; Yi Zhang (CoRR, 2014)

The Exponential Map Is Chaotic: An Invitation to Transcendental Dynamics. - Zhaiming Shen; Lasse Rempe-Gillen (Am. Math. Mon., 2015)

A Quasi-Orthogonal Matching Pursuit Algorithm for Compressive Sensing. - Ming-Jun Lai; Zhaiming Shen (CoRR, 2020)

The Kolmogorov Superposition Theorem can Break the Curse of Dimensionality When Approximating High Dimensional Functions. - Ming-Jun Lai; Zhaiming Shen (CoRR, 2021)

A Least Square Approach to Semi-supervised Local Cluster Extraction. - Ming-Jun Lai; Zhaiming Shen (CoRR, 2022)

Semi-supervised Local Cluster Extraction by Compressive Sensing. - Zhaiming Shen; Ming-Jun Lai; Sheng Li 001 (CoRR, 2022)

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. - Zhaiming Shen; Ming-Jun Lai; Sheng Li 001 (IJCAI, 2023)

A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction. - Ming-Jun Lai; Zhaiming Shen (J. Sci. Comput., 2023)

Network Tight Community Detection. - Jiayi Deng; Xiaodong Yang; Jun Yu; Jun Liu; Zhaiming Shen; Danyang Huang; Huimin Cheng (ICML, 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)

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)

Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique. - Jackson Hamel; Ming-Jun Lai; Zhaiming Shen; Ye Tian (CoRR, 2024)

Maximal volume matrix cross approximation for image compression and least squares solution. - Kenneth Allen; Ming-Jun Lai; Zhaiming Shen (Adv. Comput. Math., 2024)

Graph-based Semi-supervised and Unsupervised Methods for Local Clustering. - Zhaiming Shen; Sung Ha Kang (CoRR, 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, 2025)

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods. - Zhaiming Shen; Alexander Hsu; Rongjie Lai; Wenjing Liao (CoRR, 2025)