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ORCIDPing Ma 0001
Person information
- affiliation: University of Georgia, Department of Statistics, Athens, GA, USA
- affiliation (PhD 2003): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Ping Ma — disambiguation page
- Ping Ma 0002
![[0000-0003-3687-364X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3687-364X")
— China University of Petroleum, School of Geosciences, Qingdao, China (and 3 more) - Ping Ma 0003 — Harbin Institute of Technology, Control and Simulation Center, China
- Ping Ma 0004 — Xinjiang University, College of Intelligence Science and Technology, Ürümqi, China
- Ping Ma 0005 — ETH Zurich (Eidgenössische Technische Hochschule Zurich), Institute of Electromagnetic Fields (IEF), Switzerland (and 1 more)
- Ping Ma 0006 — Anhui University, School of Internet, Hefei, China (and 1 more)
- Ping Ma 0007 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China (and 1 more)
- Ping Ma 0008 — Wuhan University, School of Remote Sensing and Information Engineering, China
- Ping Ma 0009 — Southwest Minzu University, College of Electrical Engineering, Chengdu, Sichuan, China
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2020 – today
- 2025
[j15]Shushan Wu, Bowen Yang, He Yang, Stephen James Coshatt, Xilin Gong, Ramviyas Parasuraman, Justin Conrad, Roberto Perdisci, Wenxuan Zhong, Jin Ye, Ping Ma, WenZhan Song:
Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation. IEEE Internet Things J. 12(6): 6457-6464 (2025)- [i12]Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu:
Large Language Models for Bioinformatics. CoRR abs/2501.06271 (2025) - [i11]Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma, Xiaoming Zhai:
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment. CoRR abs/2503.09774 (2025) - [i10]Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma:
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. CoRR abs/2504.14772 (2025) - [i9]Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma:
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR abs/2507.19672 (2025) - 2024
- [j14]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) - [j13]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) - [c9]Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai:
Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. AIED Companion (2) 2024: 166-174 - [c8]Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma:
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification. ICML 2024 - [i8]Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai:
A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education. CoRR abs/2410.21287 (2024) - 2023
- [j12]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) - [c7]Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong:
Subsampling in Large Graphs Using Ricci Curvature. ICLR 2023 - [c6]Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller:
Classification Using Deep Transfer Learning on Structured Healthcare Data. SSCI 2023: 1560-1565 - [i7]Rui Xie, Shuyang Bai, Ping Ma:
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data. CoRR abs/2303.08242 (2023) - [i6]Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai:
Knowledge Distillation of LLM for Education. CoRR abs/2312.15842 (2023) - 2022
- [j11]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) - [j10]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) - [j9]Zhanfeng Wang, Hao Dong, Ping Ma, Yuedong Wang:
Estimation and Model Selection for Nonparametric Function-on-Function Regression. J. Comput. Graph. Stat. 31(3): 835-845 (2022) - [j8]Ping Ma, Yongkai Chen, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney:
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. J. Mach. Learn. Res. 23: 177:1-177:45 (2022) - 2021
- [j7]Shangpeng Sun, Changying Li, Peng W. Chee, Andrew H. Paterson, Cheng Meng, Jingyi Zhang, Ping Ma, Jon S. Robertson, Jeevan Adhikari:
High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection. Comput. Electron. Agric. 187: 106276 (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) - [i5]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
- [j5]Fangyu Li, Rui Xie, Zengyan Wang, Lulu Guo, Jin Ye, Ping Ma, Wenzhan Song:
Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data. IEEE Internet Things J. 7(5): 4387-4394 (2020) - [j4]Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong:
Minimax Nonparametric Parallelism Test. J. Mach. Learn. Res. 21: 94:1-94:47 (2020) - [c5]Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney:
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. AISTATS 2020: 1026-1035 - [c4]Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong:
Sufficient dimension reduction for classification using principal optimal transport direction. NeurIPS 2020 - [i4]Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney:
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. CoRR abs/2002.10526 (2020) - [i3]Jingyi Zhang, Wenxuan Zhong, Ping Ma:
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research. CoRR abs/2008.02995 (2020) - [i2]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
- [c3]Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong:
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series. AISTATS 2019: 2301-2311 - [c2]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]Ping Ma, Michael W. Mahoney, Bin Yu:
A statistical perspective on algorithmic leveraging. J. Mach. Learn. Res. 16: 861-911 (2015) - 2014
- [c1]Ping Ma, Michael W. Mahoney, Bin Yu:
A Statistical Perspective on Algorithmic Leveraging. ICML 2014: 91-99 - 2013
- [i1]Ping Ma, Michael W. Mahoney, Bin Yu:
A Statistical Perspective on Algorithmic Leveraging. CoRR abs/1306.5362 (2013)
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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