Distributed estimation in heterogeneous reduced rank regression: With application to order determination in sufficient dimension reduction. - Canyi Chen; Wangli Xu; Liping Zhu (J. Multivar. Anal., 2022)

Distributed Decoding From Heterogeneous 1-Bit Compressive Measurements. - Canyi Chen; Liping Zhu (J. Comput. Graph. Stat., 2023)

Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach. - Nan Qiao 010; Canyi Chen (J. Comput. Graph. Stat., 2024)

Robust multitask learning in high dimensions under memory constraint. - Canyi Chen; Bingzhen Chen; Lingchen Kong; Liping Zhu (Stat. Anal. Data Min., 2024)

Byzantine-robust and efficient distributed sparsity learning: a surrogate composite quantile regression approach. - Canyi Chen; Zhengtian Zhu (Stat. Comput., 2024)

Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach. - Nan Qiao 010; Canyi Chen; Zhengtian Zhu (Stat. Comput., 2025)

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine. - Canyi Chen; Nan Qiao 010; Liping Zhu (CoRR, 2025)