| Large-scale optimal transport map estimation using projection pursuit C Meng, Y Ke, JZ Zhang, MZ Zhang, Z Wenxuan, P Ma NeurIPS 2019, 2019 | 43 | 2019 |
| Lowcon: A design-based subsampling approach in a misspecified linear model C Meng, R Xie, A Mandal, X Zhang, W Zhong, P Ma Journal of Computational and Graphical Statistics 30 (3), 694-708, 2021 | 28 | 2021 |
| More efficient approximation of smoothing splines via space-filling basis selection C Meng, X Zhang, J Zhang, W Zhong, P Ma Biometrika, 107, 723–735, 2020 | 28 | 2020 |
| High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection S Sun, C Li, PW Chee, AH Paterson, C Meng, J Zhang, P Ma, ... Computers and electronics in agriculture 187, 106276, 2021 | 24 | 2021 |
| Projection‐based techniques for high‐dimensional optimal transport problems J Zhang, P Ma, W Zhong, C Meng Wiley Interdisciplinary Reviews: Computational Statistics, e1587, 2022 | 16 | 2022 |
| Effective statistical methods for big data analytics C Meng, Y Wang, X Zhang, A Mandal, W Zhong, P Ma Handbook of research on applied cybernetics and systems science, 280-299, 2017 | 16 | 2017 |
| Sufficient dimension reduction for classification using principal optimal transport direction C Meng, J Yu, J Zhang, P Ma, W Zhong NeurIPS 2020, 2020 | 14 | 2020 |
| Hilbert curve projection distance for distribution comparison T Li, C Meng, H Xu, J Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 12 | 2024 |
| Efficient approximation of Gromov-Wasserstein distance using importance sparsification M Li, J Yu, H Xu, C Meng Journal of Computational and Graphical Statistics 32 (4), 1512-1523, 2023 | 11 | 2023 |
| Modern subsampling methods for large-scale least squares regression T Li, C Meng International Journal of Cyber-Physical Systems (IJCPS) 2 (2), 1-28, 2020 | 11 | 2020 |
| Smoothing splines approximation using Hilbert curve basis selection C Meng, J Yu, Y Chen, W Zhong, P Ma Journal of Computational and Graphical Statistics 31 (3), 802-812, 2022 | 10 | 2022 |
| An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation J Zhang, C Meng, J Yu, M Zhang, W Zhong, P Ma Journal of Computational and Graphical Statistics 32 (1), 329-339, 2023 | 7 | 2023 |
| Importance Sparsification for Sinkhorn Algorithm M Li, J Yu, T Li, C Meng Journal of Machine Learning Research 24, 1--44, 2023 | 4 | 2023 |
| Scalable model-free feature screening via sliced-wasserstein dependency T Li, J Yu, C Meng Journal of Computational and Graphical Statistics 32 (4), 1501-1511, 2023 | 2 | 2023 |
| Core-elements for classical linear regression M Li, J Yu, T Li, C Meng arXiv preprint arXiv:2206.10240, 2022 | 1 | 2022 |
| Automated plant node detection using terrestrial LiDAR data under field conditions S Sun, C Li, A Paterson, J Adhikari, J Robertson, C Meng 2019 ASABE Annual International Meeting, 1, 2019 | 1 | 2019 |
| Nonparametric Additive Models for Billion Observations M Li, J Zhang, C Meng Journal of Computational and Graphical Statistics, 1-23, 2024 | | 2024 |
| A Hausdorff Regression Paradigm for Interval Privacy X Kang, M Li, X Chen, F Li, C Meng IEEE Signal Processing Letters, 2023 | | 2023 |
| Leverage classifier: Another look at support vector machine Y Han, J Yu, N Zhang, C Meng, P Ma, W Zhong, C Zou arXiv preprint arXiv:2308.12444, 2023 | | 2023 |
| Sampling-Based Approaches for Multimarginal Optimal Transport Problems with Coulomb Cost Y Hu, M Li, X Liu, C Meng arXiv preprint arXiv:2306.16763, 2023 | | 2023 |
Ping MaUniversity of GeorgiaDirección de correo verificada de uga.edu
