Search Results for author: Hui Shen

Found 10 papers, 1 papers with code

A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery

no code implementations13 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.

Causal Inference Drug Discovery

Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas

no code implementations27 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.

PP-YOLO: An Effective and Efficient Implementation of Object Detector

5 code implementations23 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.

object-detection Object Detection

A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images

no code implementations9 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.

Semantic Segmentation

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets

no code implementations29 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.

Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables

no code implementations31 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.

Denoising Variable Selection

An Adaptive Successive Cancellation List Decoder for Polar Codes with Cyclic Redundancy Check

no code implementations15 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.

Information Theory Information Theory

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