RSIR: regularized sliced inverse regression for motif discovery. - Wenxuan Zhong; Peng Zeng; Ping Ma 001; Jun S. Liu; Michael Yu Zhu (Bioinform., 2005)

A statistical perspective on algorithmic leveraging. - Ping Ma 001; Michael W. Mahoney; Bin Yu 001 (J. Mach. Learn. Res., 2015)

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 001 (BMC Bioinform., 2016)

Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series. - Rui Xie 002; Zengyan Wang; Shuyang Bai; Ping Ma 001; Wenxuan Zhong (AISTATS, 2019)

Large-scale optimal transport map estimation using projection pursuit. - Cheng Meng; Yuan Ke; Jingyi Zhang 004; Mengrui Zhang; Wenxuan Zhong; Ping Ma 001 (NeurIPS, 2019)

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. - Ping Ma 001; Xinlian Zhang; Xin Xing; Jingyi Ma; Michael W. Mahoney (AISTATS, 2020)

Sufficient dimension reduction for classification using principal optimal transport direction. - Cheng Meng; Jun Yu; Jingyi Zhang 004; Ping Ma 001; Wenxuan Zhong (NeurIPS, 2020)

A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research. - Jingyi Zhang 004; Wenxuan Zhong; Ping Ma 001 (CoRR, 2020)

Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data. - Fangyu Li; Rui Xie 002; Zengyan Wang; Lulu Guo; Jin Ye 001; Ping Ma 001; Wenzhan Song 001 (IEEE Internet Things J., 2020)

Minimax Nonparametric Parallelism Test. - Xin Xing; Meimei Liu; Ping Ma 001; Wenxuan Zhong (J. Mach. Learn. Res., 2020)

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 004; Ping Ma 001; Jon S. Robertson; Jeevan Adhikari (Comput. Electron. Agric., 2021)

LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model. - Cheng Meng; Rui Xie 002; Abhyuday Mandal; Xinlian Zhang; Wenxuan Zhong; Ping Ma 001 (J. Comput. Graph. Stat., 2021)

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 001; Wen-Zhan Song 001; Ping Ma 001 (IEEE Internet Things J., 2022)

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. - Ping Ma 001; Yongkai Chen; Xinlian Zhang; Xin Xing; Jingyi Ma; Michael W. Mahoney (J. Mach. Learn. Res., 2022)

Smoothing Splines Approximation Using Hilbert Curve Basis Selection. - Cheng Meng; Jun Yu; Yongkai Chen; Wenxuan Zhong; Ping Ma 001 (J. Comput. Graph. Stat., 2022)

Estimation and Model Selection for Nonparametric Function-on-Function Regression. - Zhanfeng Wang; Hao Dong; Ping Ma 001; Yuedong Wang (J. Comput. Graph. Stat., 2022)

Subsampling in Large Graphs Using Ricci Curvature. - Shushan Wu; Huimin Cheng; Jiazhang Cai; Ping Ma 001; Wenxuan Zhong (ICLR, 2023)

Classification Using Deep Transfer Learning on Structured Healthcare Data. - Ayda Farhadi; David Chen 003; Rozalina G. McCoy; Christopher Scott; Ping Ma 001; Celine M. Vachon; Jingyi Zhang 004; Che Ngufor; John A. Miller 001 (SSCI, 2023)

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data. - Rui Xie 002; Shuyang Bai; Ping Ma 001 (CoRR, 2023)

Knowledge Distillation of LLM for Education. - Ehsan Latif; Luyang Fang; Ping Ma 001; Xiaoming Zhai (CoRR, 2023)

An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation. - Jingyi Zhang 004; Cheng Meng; Jun Yu; Mengrui Zhang; Wenxuan Zhong; Ping Ma 001 (J. Comput. Graph. Stat., 2023)

Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. - Ehsan Latif; Luyang Fang; Ping Ma 001; Xiaoming Zhai (AIED Companion (2), 2024)

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification. - Luyang Fang; Yongkai Chen; Wenxuan Zhong; Ping Ma 001 (ICML, 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; et al. (CoRR, 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 001; Wenxuan Zhong; Ping Ma 001; WenZhan Song 001 (IEEE Trans. Smart Grid, 2024)

Orthogonal multimodality integration and clustering in single-cell data. - Yufang Liu; Yongkai Chen; Haoran Lu; Wenxuan Zhong; Guo-Cheng Yuan; Ping Ma 001 (BMC Bioinform., 2024)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment. - Luyang Fang; Ehsan Latif; Haoran Lu; Yifan Zhou; Ping Ma 001; Xiaoming Zhai (CoRR, 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 001; Ping Ma 001; WenZhan Song 001 (IEEE Internet Things J., 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; et al. (CoRR, 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; et al. (CoRR, 2025)