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2020 – today
- 2024
[j12]Yufang Liu, Yongkai Chen, Haoran Lu, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma:
Orthogonal multimodality integration and clustering in single-cell data. BMC Bioinform. 25(1): 164 (2024)- [j11]Shushan Wu
, Luyang Fang, Jinan Zhang, T. N. Sriram, Stephen James Coshatt, Feraidoon Zahiri, H. Alan Mantooth, Jin Ye, Wenxuan Zhong, Ping Ma, WenZhan Song:
Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches. IEEE Trans. Smart Grid 15(2): 2214-2225 (2024) - [c5]Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma:
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification. ICML 2024 - 2023
- [j10]Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, Ping Ma:
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation. J. Comput. Graph. Stat. 32(1): 329-339 (2023) - [c4]Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong:
Subsampling in Large Graphs Using Ricci Curvature. ICLR 2023 - 2022
- [j9]Xin Xing, Rui Xie, Wenxuan Zhong:
Model-based sparse coding beyond Gaussian independent model. Comput. Stat. Data Anal. 166: 107336 (2022) - [j8]Jun Yu, Huimin Cheng, Jinan Zhang, Qi Li, Shushan Wu, Wenxuan Zhong, Jin Ye, Wen-Zhan Song, Ping Ma:
CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks. IEEE Internet Things J. 9(15): 13862-13875 (2022) - [j7]Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma:
Smoothing Splines Approximation Using Hilbert Curve Basis Selection. J. Comput. Graph. Stat. 31(3): 802-812 (2022) - 2021
- [j6]Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, Ping Ma:
LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model. J. Comput. Graph. Stat. 30(3): 694-708 (2021) - [j5]Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang:
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors. BMC Medical Informatics Decis. Mak. 21(1): 187 (2021) - [i4]Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang:
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors. CoRR abs/2105.09670 (2021) - [i3]Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma:
Large-scale optimal transport map estimation using projection pursuit. CoRR abs/2106.05838 (2021) - 2020
- [j4]Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong:
Minimax Nonparametric Parallelism Test. J. Mach. Learn. Res. 21: 94:1-94:47 (2020) - [c3]Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong:
Sufficient dimension reduction for classification using principal optimal transport direction. NeurIPS 2020 - [i2]Jingyi Zhang, Wenxuan Zhong, Ping Ma:
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research. CoRR abs/2008.02995 (2020) - [i1]Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong:
Sufficient dimension reduction for classification using principal optimal transport direction. CoRR abs/2010.09921 (2020)
2010 – 2019
- 2019
- [c2]Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong:
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series. AISTATS 2019: 2301-2311 - [c1]Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma:
Large-scale optimal transport map estimation using projection pursuit. NeurIPS 2019: 8116-8127 - 2016
- [j3]Xiaoxiao Sun, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, Ping Ma:
Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model. BMC Bioinform. 17: 324 (2016) - 2015
- [j2]Wenxuan Zhong, Kenneth S. Suslick:
Matrix Discriminant Analysis With Application to Colorimetric Sensor Array Data. Technometrics 57(4): 524-534 (2015)
2000 – 2009
- 2005
- [j1]Wenxuan Zhong, Peng Zeng, Ping Ma, Jun S. Liu, Michael Yu Zhu:
RSIR: regularized sliced inverse regression for motif discovery. Bioinform. 21(22): 4169-4175 (2005)
Coauthor Index
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