Search Results for author: Qing Lu

Found 16 papers, 1 papers with code

Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning

no code implementations30 Jul 2023 Boyang Li, Bingyu Shen, Qing Lu, Taeho Jung, Yiyu Shi

In the conducted experiments, the PoFLSC consensus supported the subchain manager to be aware of reservation priority and the core partition of contributors to establish and maintain a competitive subchain.

Federated Learning

A Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies

no code implementations16 Dec 2022 Xiaoxi Shen, Chang Jiang, Lyudmila Sakhanenko, Qing Lu

Neural networks (NN) play a central role in modern Artificial intelligence (AI) technology and has been successfully used in areas such as natural language processing and image recognition.


A Neural Network Based Method with Transfer Learning for Genetic Data Analysis

no code implementations20 Jun 2022 Jinghang Lin, Shan Zhang, Qing Lu

Transfer learning has emerged as a powerful technique in many application problems, such as computer vision and natural language processing.

Transfer Learning

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

no code implementations8 Jun 2022 Qing Lu, Xiaowei Xu, Shunjie Dong, Cong Hao, Lei Yang, Cheng Zhuo, Yiyu Shi

Accurately segmenting temporal frames of cine magnetic resonance imaging (MRI) is a crucial step in various real-time MRI guided cardiac interventions.

MRI segmentation Neural Architecture Search

A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus

no code implementations5 May 2022 Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi

In many recent novel blockchain consensuses, the deep learning training procedure becomes the task for miners to prove their workload, thus the computation power of miners will not purely be spent on the hash puzzle.

Neural Architecture Search

Quantization of Deep Neural Networks for Accurate Edge Computing

no code implementations25 Apr 2021 Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowe Xu

Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

FGNAS: FPGA-Aware Graph Neural Architecture Search

no code implementations1 Jan 2021 Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Sakyasingha Dasgupta, Yiyu Shi

The success of gragh neural networks (GNNs) in the past years has aroused grow-ing interest and effort in designing best models to handle graph-structured data.

Neural Architecture Search

Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes

no code implementations11 Nov 2020 Muxuan Liang, Jaeyoung Park, Qing Lu, Xiang Zhong

The proposed method includes an MTL step using all outcomes to gain efficiency, and a subsequent calibration step using only the outcome of interest to correct both types of biases.

Classification General Classification +1

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases

no code implementations26 Oct 2020 Jinghang Lin, Xiaoran Tong, Chenxi Li, Qing Lu

Similar to expectile regression, ENN provides a comprehensive view of relationships between genetic variants and disease phenotypes and can be used to discover genetic variants predisposing to sub-populations (e. g., high-risk groups).


NASS: Optimizing Secure Inference via Neural Architecture Search

no code implementations30 Jan 2020 Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato

Due to increasing privacy concerns, neural network (NN) based secure inference (SI) schemes that simultaneously hide the client inputs and server models attract major research interests.

Neural Architecture Search

On Neural Architecture Search for Resource-Constrained Hardware Platforms

no code implementations31 Oct 2019 Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu

With 30, 000 LUTs, a light-weight design is found to achieve 82. 98\% accuracy and 1293 images/second throughput, compared to which, under the same constraints, the traditional method even fails to find a valid solution.

Neural Architecture Search Quantization +2

Grand Challenge of 106-Point Facial Landmark Localization

no code implementations9 May 2019 Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei

However, previous competitions on facial landmark localization (i. e., the 300-W, 300-VW and Menpo challenges) aim to predict 68-point landmarks, which are incompetent to depict the structure of facial components.

Face Alignment Face Recognition +2

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

no code implementations CVPR 2018 Xiaowei Xu, Qing Lu, Yu Hu, Lin Yang, Sharon Hu, Danny Chen, Yiyu Shi

Unlike existing litera- ture on quantization which primarily targets memory and computation complexity reduction, we apply quan- tization as a method to reduce over tting in FCNs for better accuracy.

Image Segmentation Quantization +2

Generalized Similarity U: A Non-parametric Test of Association Based on Similarity

1 code implementation4 Jan 2018 Changshuai Wei, Qing Lu

Based on theoretical analysis, we proposed to use Laplacian kernel based similarity for GSU to boost power and enhance robustness.


Robust Large Gap Quantum Spin Hall Insulators in Methyl-functionalized III-Bi Buckled Honeycombs

no code implementations22 Jul 2017 Qing Lu, Busheng Wang, Xiang-Rong Chen, Wu-Ming Liu

A large bulk band gap is critical for the applications of quantum spin hall (QSH) insulators in spintronics at room temperature.

Materials Science

Trees Assembling Mann Whitney Approach for Detecting Genome-wide Joint Association among Low Marginal Effect loci

no code implementations5 May 2015 Changshuai Wei, Daniel J. Schaid, Qing Lu

Through simulation studies and an empirical data application, we found that TAMW outperformed multifactor dimensionality reduction (MDR) and the likelihood ratio based Mann whitney approach (LRMW) when the underlying complex disease involves multiple LME loci and their interactions.

Dimensionality Reduction

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