Xianjie Gao

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Complete information extraction for monocular depth estimation using a dual framework.
Eng. Appl. Artif. Intell.
Bin Li, Dazheng Zhou, Xianjie Gao, Mingliang Zhang
2024 J jnl
Accelerate rotation invariant sliced Gromov-Wasserstein distance by an alternative optimization method.
Inf. Sci.
Jinming Luo, Yuhao Bian, Xianjie Gao, Jian Liu, Xiuping Liu
2024 J jnl
Complete contextual information extraction for self-supervised monocular depth estimation.
Comput. Vis. Image Underst.
Dazheng Zhou, Mingliang Zhang, Xianjie Gao, Youmei Zhang, Bin Li
2024 J jnl
Optimized Tail Bounds for Random Matrix Series.
Entropy
Xianjie Gao, Mingliang Zhang, Jinming Luo
2023 J jnl
BézierCE: Low-Light Image Enhancement via Zero-Reference Bézier Curve Estimation.
Sensors
Xianjie Gao, Kai Zhao, Lei Han, Jinming Luo
2023 J jnl
SR-FEINR: Continuous Remote Sensing Image Super-Resolution Using Feature-Enhanced Implicit Neural Representation.
Sensors
Jinming Luo, Lei Han, Xianjie Gao, Xiuping Liu, Weiming Wang
2022 J jnl
Low-Light Image Enhancement via Retinex-Style Decomposition of Denoised Deep Image Prior.
Sensors
Xianjie Gao, Mingliang Zhang, Jinming Luo
2021 J jnl
Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods.
CoRR
Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang
2020 J jnl
Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications.
IEEE Trans. Inf. Theory
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
2019 J jnl
Small-Deviation Inequalities for Sums of Random Matrices.
Symmetry
Xianjie Gao, Chao Zhang, Hongwei Zhang
2018 J jnl
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization.
CoRR
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao