no code implementations • 13 Jan 2022 • Md ashad Alam, Hui Shen, Hong-Wen Deng
Many statistical machine approaches could ultimately highlight novel features of the etiology of complex diseases by analyzing multi-omics data.
no code implementations • 27 Mar 2021 • Zhiguo Luo, Ling-Li Zeng, Hui Shen, Dewen Hu
The frequency-specific coupling mechanism of the functional human brain networks underpins its complex cognitive and behavioral functions.
5 code implementations • 23 Jul 2020 • Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren, Shumin Han, Errui Ding, Shilei Wen
We mainly try to combine various existing tricks that almost not increase the number of model parameters and FLOPs, to achieve the goal of improving the accuracy of detector as much as possible while ensuring that the speed is almost unchanged.
Ranked #106 on
Object Detection
on COCO test-dev
no code implementations • 9 Jun 2020 • Chen Zhao, Joyce H. Keyak, Jinshan Tang, Tadashi S. Kaneko, Sundeep Khosla, Shreyasee Amin, Elizabeth J. Atkinson, Lan-Juan Zhao, Michael J. Serou, Chaoyang Zhang, Hui Shen, Hong-Wen Deng, Weihua Zhou
During the experiments for the entire cohort then for male and female subjects separately, 90% of the subjects were used in 10-fold cross-validation for training and internal validation, and to select the optimal parameters of the proposed models; the rest of the subjects were used to evaluate the performance of models.
no code implementations • 29 Apr 2020 • Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
In this paper, we propose a novel generalized kernel machine approach to identify higher-order composite effects in multi-view biomedical datasets.
no code implementations • 15 Oct 2018 • Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen
This report demonstrates our solution for the Open Images 2018 Challenge.
no code implementations • 31 May 2016 • Hui Shen, Dehua Li, Hong Wu, Zhaoxiang Zang
Auto-encoders are often used as building blocks of deep network classifier to learn feature extractors, but task-irrelevant information in the input data may lead to bad extractors and result in poor generalization performance of the network.
no code implementations • 15 Aug 2012 • Bin Li, Hui Shen, David Tse
In this letter, we propose an adaptive SC (Successive Cancellation)-List decoder for polar codes with CRC.
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