Ping Ma

According to our database, Ping Ma authored at least 31 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.

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

CoRR, July, 2025

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions.

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

CoRR, April, 2025

Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation.

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

IEEE Internet Things J., March, 2025

Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment.

Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma, Xiaoming Zhai

CoRR, March, 2025

Large Language Models for Bioinformatics.

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

CoRR, January, 2025

2024

Orthogonal multimodality integration and clustering in single-cell data.

Yufang Liu, Yongkai Chen, Haoran Lu, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

BMC Bioinform., December, 2024

Unsupervised Anomaly Detection and Diagnosis in Power Electronic Networks: Informative Leverage and Multivariate Functional Clustering Approaches.

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

IEEE Trans. Smart Grid, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

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

CoRR, 2024

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification.

Luyang Fang, Yongkai Chen, Wenxuan Zhong, Ping Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation.

Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., January, 2023

Knowledge Distillation of LLM for Education.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

CoRR, 2023

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data.

Rui Xie, Shuyang Bai, Ping Ma

CoRR, 2023

Classification Using Deep Transfer Learning on Structured Healthcare Data.

Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Subsampling in Large Graphs Using Ricci Curvature.

Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Estimation and Model Selection for Nonparametric Function-on-Function Regression.

Zhanfeng Wang, Hao Dong, Ping Ma, Yuedong Wang

J. Comput. Graph. Stat., July, 2022

Smoothing Splines Approximation Using Hilbert Curve Basis Selection.

Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., July, 2022

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms.

Ping Ma, Yongkai Chen, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney

J. Mach. Learn. Res., 2022

CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks.

Jun Yu, Huimin Cheng, Jinan Zhang, Qi Li, Shushan Wu, Wenxuan Zhong, Jin Ye, Wen-Zhan Song, Ping Ma

IEEE Internet Things J., 2022

2021

LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model.

Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, Ping Ma

J. Comput. Graph. Stat., 2021

High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection.

Shangpeng Sun, Changying Li, Peng W. Chee, Andrew H. Paterson, Cheng Meng, Jingyi Zhang, Ping Ma, Jon S. Robertson, Jeevan Adhikari

Comput. Electron. Agric., 2021

2020

Minimax Nonparametric Parallelism Test.

Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong

J. Mach. Learn. Res., 2020

Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data.

Fangyu Li, Rui Xie, Zengyan Wang, Lulu Guo, Jin Ye, Ping Ma, Wenzhan Song

IEEE Internet Things J., 2020

A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research.

Jingyi Zhang, Wenxuan Zhong, Ping Ma

CoRR, 2020

Sufficient dimension reduction for classification using principal optimal transport direction.

Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms.

Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Large-scale optimal transport map estimation using projection pursuit.

Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series.

Rui Xie, Zengyan Wang, Shuyang Bai, Ping Ma, Wenxuan Zhong

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2016

Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model.

Xiaoxiao Sun, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, Ping Ma

BMC Bioinform., 2016

2015

A statistical perspective on algorithmic leveraging.

Ping Ma, Michael W. Mahoney, Bin Yu

J. Mach. Learn. Res., 2015

2005

RSIR: regularized sliced inverse regression for motif discovery.

Wenxuan Zhong, Peng Zeng, Ping Ma, Jun S. Liu, Michael Yu Zhu

Bioinform., 2005