The kolmogorov superposition theorem can break the curse of dimensionality when approximating high dimensional functions MJ Lai, Z Shen arXiv preprint arXiv:2112.09963, 2021 | 13 | 2021 |
The exponential map is chaotic: an invitation to transcendental dynamics Z Shen, L Rempe-Gillen The American Mathematical Monthly 122 (10), 919-940, 2015 | 11 | 2015 |
Reconstruction of sparse polynomials via quasi-orthogonal matching pursuit method R Feng, A Huang, MJ Lai, Z Shen J. Comput. Math, 2021 | 5 | 2021 |
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes Z Shen, MJ Lai, S Li International Joint Conference on Artificial Intelligence, 2023 | 4 | 2023 |
A compressed sensing based least squares approach to semi-supervised local cluster extraction MJ Lai, Z Shen Journal of Scientific Computing 94 (3), 63, 2023 | 4 | 2023 |
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution K Allen, MJ Lai, Z Shen arXiv preprint arXiv:2309.17403, 2023 | 3 | 2023 |
Sparse Solution Technique in Semi-supervised Local Clustering and High Dimensional Function Approximation Z Shen University of Georgia, 2024 | 1 | 2024 |
A Quasi-Orthogonal Matching Pursuit Algorithm for Compressive Sensing MJ Lai, Z Shen arXiv preprint arXiv:2007.09534, 2020 | 1 | 2020 |
Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique J Hamel, MJ Lai, Z Shen, Y Tian arXiv preprint arXiv:2407.08800, 2024 | | 2024 |
Tree-based Ensemble Learning for Out-of-distribution Detection Z Shen, M Wang, G Cheng, MJ Lai, L Mu, R Huang, Q Liu, H Zhu arXiv preprint arXiv:2405.03060, 2024 | | 2024 |
The Optimal Rate for Linear KB-splines and LKB-splines Approximation of High Dimensional Continuous Functions and its Application MJ Lai, Z Shen arXiv preprint arXiv:2401.03956, 2024 | | 2024 |
Group Testing with Pools of Fixed Size D Cariolaro, Z Shen, Y Zhang arXiv preprint arXiv:1407.3631, 2014 | | 2014 |
Network Tight Community Detection J Deng, X Yang, J Yu, J Liu, Z Shen, D Huang, H Cheng Forty-first International Conference on Machine Learning, 0 | | |