b'Pengfei Zhang'

research

∙ 08/01/2023

Zero-Shot Learning by Harnessing Adversarial Samples

Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...

0 Zhi Chen, et al. ∙

research

∙ 06/28/2023

Reduce Computational Complexity for Convolutional Layers by Skipping Zeros

Deep neural networks rely on parallel processors for acceleration. To de...

0 Zhiyi Zhang, et al. ∙

research

∙ 05/15/2023

Dragon-Alpha cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Java is very powerful, but in Deep Learning field, its capabilities prob...

0 Zhiyi Zhang, et al. ∙

research

∙ 09/01/2022

ByteStore: Hybrid Layouts for Main-Memory Column Stores

The performance of main memory column stores highly depends on the scan ...

0 Pengfei Zhang, et al. ∙

research

∙ 08/19/2022

Background Invariance Testing According to Semantic Proximity

In many applications, machine learned (ML) models are required to hold s...

2 Zukang Liao, et al. ∙

research

∙ 06/19/2022

MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue

Automatic open-domain dialogue evaluation is a crucial component of dial...

0 Pengfei Zhang, et al. ∙

research

∙ 05/15/2022

Adaptive Prompt Learning-based Few-Shot Sentiment Analysis

In the field of natural language processing, sentiment analysis via deep...

0 Pengfei Zhang, et al. ∙

research

∙ 04/04/2022

Experimental quantum adversarial learning with programmable superconducting qubits

Quantum computing promises to enhance machine learning and artificial in...

14 Wenhui Ren, et al. ∙

research

∙ 11/18/2021

CLMB: deep contrastive learning for robust metagenomic binning

The reconstruction of microbial genomes from large metagenomic datasets ...

98 Pengfei Zhang, et al. ∙

research

∙ 11/07/2021

Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

Skeleton data is of low dimension. However, there is a trend of using ve...

0 Pengfei Zhang, et al. ∙

research

∙ 09/27/2021

ML4ML: Automated Invariance Testing for Machine Learning Models

In machine learning workflows, determining invariance qualities of a mod...

11 Zukang Liao, et al. ∙

research

∙ 07/19/2021

Face.evoLVe: A High-Performance Face Recognition Library

In this paper, we develop face.evoLVe – a comprehensive library that col...

29 Qingzhong Wang, et al. ∙

research

∙ 01/11/2021

Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study

Colorectal polyps are abnormal tissues growing on the intima of the colo...

21 Xinzi Sun, et al. ∙

research

∙ 09/21/2020

A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings

The rising availability of large volume data has enabled a wide applicat...

8 Yongchao Huang, et al. ∙

research

∙ 03/02/2020

Finding Interesting Frames in Deep Video Analytics: a Top-K Approach

Recently, the impressive accuracy of deep neural networks (DNNs) has cre...

0 Ziliang Lai, et al. ∙

research

∙ 01/03/2020

High Performance Depthwise and Pointwise Convolutions on Mobile Devices

Lightweight convolutional neural networks (e.g., MobileNets) are specifi...

0 Pengfei Zhang, et al. ∙

research

∙ 12/26/2019

Colorectal Polyp Segmentation by U-Net with Dilation Convolution

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers an...

10 Xinzi Sun, et al. ∙

research

∙ 09/26/2019

Information Scrambling in Quantum Neural Networks

Quantum neural networks are one of the promising applications for near-t...

0 Huitao Shen, et al. ∙

research

∙ 09/05/2019

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...

0 Dechun Wang, et al. ∙

research

∙ 09/03/2019

EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks

Recurrent neural networks (RNNs) are capable of modeling temporal depend...

8 Pengfei Zhang, et al. ∙

research

∙ 08/29/2019

3D Anchor-Free Lesion Detector on Computed Tomography Scans

Lesions are injuries and abnormal tissues in the human body. Detecting l...

0 Ning Zhang, et al. ∙

research

∙ 08/22/2019

Multi-Stream Single Shot Spatial-Temporal Action Detection

We present a 3D Convolutional Neural Networks (CNNs) based single shot d...

0 Pengfei Zhang, et al. ∙

research

∙ 06/10/2019

Multimodal Data Fusion of Non-Gaussian Spatial Fields in Sensor Networks

We develop a robust data fusion algorithm for field reconstruction of mu...

0 Pengfei Zhang, et al. ∙

research

∙ 04/02/2019

Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

Skeleton-based human action recognition has attracted a lot of interests...

0 Pengfei Zhang, et al. ∙

research

∙ 03/07/2019

SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

In crowd scenarios, reliable trajectory prediction of pedestrians requir...

0 Pu Zhang, et al. ∙

research

∙ 01/22/2019

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach

The RGB-D camera maintains a limited range for working and is hard to ac...

0 Mingyang Geng, et al. ∙

research

∙ 12/12/2018

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

As societies around the world are ageing, the number of Alzheimer's dise...

0 Wolfgang Fruehwirt, et al. ∙

research

∙ 12/05/2018

Attention Boosted Sequential Inference Model

Attention mechanism has been proven effective on natural language proces...

0 Guanyu Li, et al. ∙

research

∙ 10/06/2018

Towards Self-Tuning Parameter Servers

Recent years, many applications have been driven advances by the use of ...

0 Chris Liu, et al. ∙

research

∙ 07/12/2018

Adding Attentiveness to the Neurons in Recurrent Neural Networks

Recurrent neural networks (RNNs) are capable of modeling the temporal dy...

14 Pengfei Zhang, et al. ∙

research

∙ 05/26/2018

Deep Learning Topological Invariants of Band Insulators

In this work we design and train deep neural networks to predict topolog...

0 Ning Sun, et al. ∙

research

∙ 05/26/2018

Deep Learning for Topological Invariants

In this work we design and train deep neural networks to predict topolog...

0 Ning Sun, et al. ∙

research

∙ 04/20/2018

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

Skeleton-based human action recognition has recently attracted increasin...

0 Pengfei Zhang, et al. ∙

research

∙ 11/22/2017

Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease

The diagnosis of Alzheimer's disease (AD) in routine clinical practice i...

0 Wolfgang Fruehwirt, et al. ∙

research

∙ 11/12/2017

Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World

We address the two fundamental problems of spatial field reconstruction ...

0 Pengfei Zhang, et al. ∙

research

∙ 03/24/2017

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

Skeleton-based human action recognition has recently attracted increasin...

0 Pengfei Zhang, et al. ∙

research

∙ 08/10/2009

Segmentation for radar images based on active contour

We exam various geometric active contour methods for radar image segment...

0 Meijun Zhu, et al. ∙

Pengfei Zhang

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