Search Results for author: Hui Shen

Found 19 papers, 4 papers with code

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

1 code implementation29 Sep 2023 Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang

However, most existing FL works are not conducted on datasets collected from authentic IoT devices that capture unique modalities and inherent challenges of IoT data.

Benchmarking Federated Learning

Consistency of Lloyd's Algorithm Under Perturbations

no code implementations1 Sep 2023 Dhruv Patel, Hui Shen, Shankar Bhamidi, Yufeng Liu, Vladas Pipiras

In canonical settings with ground truth clusters, we derive bounds for algorithms such as $k$-means$++$ to find good initializations and thus leading to the correctness of clustering via the main result.

Clustering Community Detection

Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort

1 code implementation15 Aug 2023 Anton Orlichenko, Kuan-Jui Su, Qing Tian, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

Using the full FC and a training set of 2, 000 subjects, one is able to predict which scan is older 82. 5\% of the time using either the full Power264 FC or the UKB-provided ICA-based FC.

Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results

1 code implementation2 Aug 2023 Anton Orlichenko, Gang Qu, Kuan-Jui Su, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

Using the UK Biobank dataset, we find one can achieve the same level of variance explained with 50 training subjects by exploiting identifiability as with 10, 000 training subjects without double-dipping.

ImageNomer: description of a functional connectivity and omics analysis tool and case study identifying a race confound

no code implementations1 Feb 2023 Anton Orlichenko, Grant Daly, Ziyu Zhou, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

The reason is that it is too slow and cumbersome to use a programming interface to create all the necessary visualizations required to identify all correlations, confounding effects, or quality control problems in a dataset.

Data Visualization Navigate

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 Data Integration +2

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.

Image Segmentation Semantic Segmentation +1

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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