Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification. - Mengyu Li 001; Jun Yu; Hongteng Xu; Cheng Meng (J. Comput. Graph. Stat., 2023)

Importance Sparsification for Sinkhorn Algorithm. - Mengyu Li 001; Jun Yu; Tao Li 041; Cheng Meng (J. Mach. Learn. Res., 2023)

Nonparametric Additive Models for Billion Observations. - Mengyu Li 001; Jingyi Zhang 004; Cheng Meng (J. Comput. Graph. Stat., 2024)

A Hausdorff Regression Paradigm for Interval Privacy. - Xinlai Kang; Mengyu Li 001; Xuqiang Chen; Fangyu Li 002; Cheng Meng (IEEE Signal Process. Lett., 2024)

Core-elements for large-scale least squares estimation. - Mengyu Li 001; Jun Yu; Tao Li 041; Cheng Meng (Stat. Comput., 2024)

Double optimal transport for differential gene regulatory network inference with unpaired samples. - Mengyu Li 001; Bencong Zhu; Cheng Meng; Xiaodan Fan (Bioinform., 2025)

Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS. - Tao Wang; Mengyu Li 001; Geduo Zeng; Cheng Meng; Qiong Zhang (CoRR, 2025)

Core-elements Subsampling for Alternating Least Squares. - Dunyao Xue; Mengyu Li 001; Cheng Meng; Jingyi Zhang 004 (CoRR, 2025)

Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection. - Junlie Huang; Xinlai Kang; Qiannan Huang; Mengyu Li 001; Cheng Meng; Jingyi Zhang 004 (J. Comput. Graph. Stat., 2026)

Iterative optimal transport for multimodal image registration. - Mengyu Li 001; Cheng Meng; Xiaodan Fan (Pattern Recognit., 2026)