Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors. - Jingyi Zhang 004; Huolan Zhu; Yongkai Chen; Chenguang Yang 006; Huimin Cheng; Yi Li; Wenxuan Zhong; Fang Wang (BMC Medical Informatics Decis. Mak., 2021)

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)

Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification. - Luyang Fang; Yongkai Chen; Wenxuan Zhong; Ping Ma 001 (ICML, 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)

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)

S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via Echocardiogram. - Xilin Gong; Yongkai Chen; Shushan Wu; Fang Wang; Ping Ma; Wenxuan Zhong (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)