1 code implementation • 27 Oct 2023 • Xiaoyang Xu, Hu Ding
Optimal transport is a fundamental topic that has attracted a great amount of attention from the optimization community in the past decades.
no code implementations • 7 Aug 2020 • Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang
We propose a novel ordinal regression approach, termed Convolutional Ordinal Regression Forest or CORF, for image ordinal estimation, which can integrate ordinal regression and differentiable decision trees with a convolutional neural network for obtaining precise and stable global ordinal relationships.
no code implementations • 13 Apr 2020 • Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma
We thus propose an end-to-end deep-learning BCoP model named Spatio-Temporal feature Auto-Selective (STAS) model to select optimal ST regularity from EC via the ST Feature-selective Mechanisms (SFM/TFM).
no code implementations • 15 Oct 2019 • Xiaoyang Xu, Yiqun Liu, Hanqing Chao, Youcheng Luo, Hai Chu, Lei Chen, Junping Zhang, Leiming Ma
To the best of our knowledge, it is the first expert-free models for bias correction.