Zhaiming Shen

17 papers A* 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Graph-based Semi-supervised and Unsupervised Methods for Local Clustering. CoRR Zhaiming Shen, Sung Ha Kang
2025	J	`jnl`	Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights. CoRR Zhaiming Shen, Alex Havrilla, Rongjie Lai, Alexander Cloninger, Wenjing Liao
2025	J	`jnl`	Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods. CoRR Zhaiming Shen, Alexander Hsu, Rongjie Lai, Wenjing Liao
2024	J	`jnl`	Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique. CoRR Jackson Hamel, Ming-Jun Lai, Zhaiming Shen, Ye Tian
2024	J	`jnl`	Maximal volume matrix cross approximation for image compression and least squares solution. Adv. Comput. Math. Kenneth Allen, Ming-Jun Lai, Zhaiming Shen
2024	A*	`conf`	Network Tight Community Detection. ICML Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng
2024	J	`jnl`	The Optimal Rate for Linear KB-splines and LKB-splines Approximation of High Dimensional Continuous Functions and its Application. CoRR Ming-Jun Lai, Zhaiming Shen
2024	J	`jnl`	Tree-based Ensemble Learning for Out-of-distribution Detection. CoRR Zhaiming Shen, Menglun Wang, Guang Cheng, Ming-Jun Lai, Lin Mu, Ruihao Huang, Qi Liu, Hao Zhu
2023	J	`jnl`	A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction. J. Sci. Comput. Ming-Jun Lai, Zhaiming Shen
2023	A*	`conf`	Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. IJCAI Zhaiming Shen, Ming-Jun Lai, Sheng Li
2023	J	`jnl`	Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution. CoRR Kenneth Allen, Ming-Jun Lai, Zhaiming Shen
2022	J	`jnl`	A Least Square Approach to Semi-supervised Local Cluster Extraction. CoRR Ming-Jun Lai, Zhaiming Shen
2022	J	`jnl`	Semi-supervised Local Cluster Extraction by Compressive Sensing. CoRR Zhaiming Shen, Ming-Jun Lai, Sheng Li
2021	J	`jnl`	The Kolmogorov Superposition Theorem can Break the Curse of Dimensionality When Approximating High Dimensional Functions. CoRR Ming-Jun Lai, Zhaiming Shen
2020	J	`jnl`	A Quasi-Orthogonal Matching Pursuit Algorithm for Compressive Sensing. CoRR Ming-Jun Lai, Zhaiming Shen
2015	J	`jnl`	The Exponential Map Is Chaotic: An Invitation to Transcendental Dynamics. Am. Math. Mon. Zhaiming Shen, Lasse Rempe-Gillen
2014	J	`jnl`	Group Testing with Pools of Fixed Size. CoRR David Cariolaro, Zhaiming Shen, Yi Zhang

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski