Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. - Chao Zhang 017; Xianjie Gao; Min-Hsiu Hsieh; Hanyuan Hang; Dacheng Tao (CoRR, 2018)

Small-Deviation Inequalities for Sums of Random Matrices. - Xianjie Gao; Chao Zhang 017; Hongwei Zhang (Symmetry, 2019)

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. - Chao Zhang 017; Xianjie Gao; Min-Hsiu Hsieh; Hanyuan Hang; Dacheng Tao (IEEE Trans. Inf. Theory, 2020)

Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. - Xianjie Gao; Xueguan Song; Maolin Shi; Chao Zhang 017; Hongwei Zhang (CoRR, 2021)

Low-Light Image Enhancement via Retinex-Style Decomposition of Denoised Deep Image Prior. - Xianjie Gao; Mingliang Zhang; Jinming Luo (Sensors, 2022)

SR-FEINR: Continuous Remote Sensing Image Super-Resolution Using Feature-Enhanced Implicit Neural Representation. - Jinming Luo; Lei Han; Xianjie Gao; Xiuping Liu; Weiming Wang 003 (Sensors, 2023)

BézierCE: Low-Light Image Enhancement via Zero-Reference Bézier Curve Estimation. - Xianjie Gao; Kai Zhao; Lei Han; Jinming Luo (Sensors, 2023)

Complete contextual information extraction for self-supervised monocular depth estimation. - Dazheng Zhou; Mingliang Zhang; Xianjie Gao; Youmei Zhang; Bin Li 042 (Comput. Vis. Image Underst., 2024)

Accelerate rotation invariant sliced Gromov-Wasserstein distance by an alternative optimization method. - Jinming Luo; Yuhao Bian; Xianjie Gao; Jian Liu; Xiuping Liu (Inf. Sci., 2024)

Optimized Tail Bounds for Random Matrix Series. - Xianjie Gao; Mingliang Zhang; Jinming Luo (Entropy, 2024)