Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. - Jia Cai; Kexin Lv; Junyi Huo; Xiaolin Huang; Jie Yang 002 (CoRR, 2020)

A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis. - Fan He; Xiaolin Huang; Kexin Lv; Jie Yang 002 (CoRR, 2020)

Spatio-Temporal Evolution, Future Trend and Phenology Regularity of Net Primary Productivity of Forests in Northeast China. - Chunli Wang; Qun'ou Jiang; Xiangzheng Deng; Kexin Lv; Zhonghui Zhang (Remote. Sens., 2020)

One-Shot Distributed Algorithm for PCA With RBF Kernels. - Fan He; Kexin Lv; Jie Yang 002; Xiaolin Huang (IEEE Signal Process. Lett., 2021)

One-shot Distributed Algorithm for Generalized Eigenvalue Problem. - Kexin Lv; Zheng Sun; Fan He; Xiaolin Huang; Jie Yang 002 (ICCAI, 2022)

Kernel PCA for Out-of-Distribution Detection. - Kun Fang 004; Qinghua Tao; Kexin Lv; Mingzhen He; Xiaolin Huang; Jie Yang 002 (NeurIPS, 2024)

Learn What You Need in Personalized Federated Learning. - Kexin Lv; Rui Ye 001; Xiaolin Huang; Jie Yang 002; Siheng Chen (CoRR, 2024)

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach. - Kexin Lv; Jia Cai; Junyi Huo; Chao Shang; Xiaolin Huang; Jie Yang 002 (Neural Comput., 2024)

Consensus-based distributed algorithm for GEP. - Kexin Lv; Fan He; Xiaolin Huang; Jie Yang 002 (Signal Process., 2024)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. - Kun Fang 004; Qinghua Tao; Mingzhen He; Kexin Lv; Runze Yang; Haibo Hu; Xiaolin Huang; Jie Yang 002; Longbing Cao (CoRR, 2025)