Sampling-based methods for multi-block optimization problems over transport polytopes
Published in Mathematics of Computation, 2024
Yukuan Hu, Mengyu Li, Xin Liu, Cheng Meng (alphabetical order)
Publications
Underlining authors represent members of BDAL-RUC and * represents corresponding author.Nonparametric additive models for billion observations
Published in Journal of Computational and Graphical Statistics, 2024
Mengyu Li, Jingyi Zhang, Cheng Meng*
Leverage classifier: Another look at support vector machine (In press)
Published in Statistica Sinica, 2024
Yixin Han, Jun Yu, Nan Zhang, Cheng Meng, Ping Ma, Wenxuan Zhong, Changliang Zou*
Hilbert Curve Projection Distance for Distribution Comparison
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Tao Li, Cheng Meng, Hongteng Xu, Jun Yu (alphabetical order)
Core-elements for large-scale least squares estimation
Published in Statistics and Computing, 2024
Mengyu Li, Jun Yu, Tao Li, Cheng Meng*
AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards
Published in Plant Phenomics, 2024
Tian Qiu, Tao Wang, Tao Han, Kaspar Kuehn, Lailiang Cheng, Cheng Meng, Xiangtao Xu, Kenong Xu, and Jiang Yu*
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
Published in Journal of Computational and Graphical Statistics, 2023
Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, and Ping Ma*
Scalable model-free feature screening via sliced-Wasserstein dependency
Published in Journal of Computational and Graphical Statistics, 2023
Tao Li, Jun Yu, Cheng Meng*
Importance Sparsifcation for Sinkhorn Algorithm
Published in Journal of Machine Learning Research, 2023
Mengyu Li, Jun Yu, Tao Li, and Cheng Meng*
A Hausdorff regression paradigm for interval privacy
Published in IEEE Signal Processing Letters, 2023
Xinlai Kang, Mengyu Li, Xuqiang Chen, Fangyu Li, Cheng Meng*
Smoothing splines approximation using Hilbert curve basis selection
Published in Journal of Computational and Graphical Statistics, 2022
Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma*
Projection‐based techniques for high‐dimensional optimal transport problems
Published in Wiley Interdisciplinary Reviews: Computational Statistics, 2022
Jingyi Zhang, Ping Ma, Wenxuan Zhong, Cheng Meng*
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Published in Journal of Computational and Graphical Statistics, 2022
Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng*
Modern Subsampling Methods for Large-Scale Least Squares Regression
Published in International Journal of Cyber-Physical Systems (IJCPS), 2021
Tao Li, Cheng Meng*
LowCon: A design-based subsampling approach in a misspecified linear model
Published in Journal of Computational and Graphical Statistics, 2021
Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, and Ping Ma*
High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection
Published in Computers and electronics in agriculture, 2021
Shangpeng Sun, Changying Li, Peng W. Chee, Andrew H. Paterson, Cheng Meng, Jingyi Zhang, Ping Ma, Jon S. Robertson, Jeevan Adhikari*
Sufficient dimension reduction for classification using principal optimal transport direction
Published in NeurIPS, 2020
Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong*
More efficient computation of smoothing splines via space-filling basis selection
Published in Biometrika, 2020
Cheng Meng, Xinlian Zhang, Jingyi Zhang, Wenxuan Zhong, Ping Ma*
Large-scale optimal transport map estimation using projection pursuit
Published in NeurIPS, 2019
Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma*
Effective statistical methods for big data analytics
Published in Handbook of Research on Applied Cybernetics and Systems Science, 2017
Cheng Meng, Ye Wang, Xinlian Zhang, Abhyuday Mandal, Wenxuan Zhong, Ping Ma*