b'Yao Wang'

research

∙ 05/12/2023

A Lightweight Authentication Protocol against Modeling Attacks based on a Novel LFSR-APUF

Simple authentication protocols based on conventional physical unclonabl...

0 Yao Wang, et al. ∙

research

∙ 03/26/2023

Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters

3D hand pose estimation is a long-standing challenge in both robotics an...

0 Zhipeng Fan, et al. ∙

research

∙ 03/15/2023

Progressive Frame Patching for FoV-based Point Cloud Video Streaming

Immersive multimedia applications, such as Virtual, Augmented and Mixed ...

0 Tongyu Zong, et al. ∙

research

∙ 02/21/2023

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes

In recent years, large amounts of electronic health records (EHRs) conce...

0 Di Wang, et al. ∙

research

∙ 02/12/2023

Efficient Fraud Detection using Deep Boosting Decision Trees

Fraud detection is to identify, monitor, and prevent potentially fraudul...

0 Biao Xu, et al. ∙

research

∙ 12/11/2022

Learning Neural Volumetric Field for Point Cloud Geometry Compression

Due to the diverse sparsity, high dimensionality, and large temporal var...

0 Yueyu Hu, et al. ∙

research

∙ 10/12/2022

Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients

Unrecognized patient deterioration can lead to high morbidity and mortal...

0 Sarmad Mehrdad, et al. ∙

research

∙ 09/17/2022

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance

Deep learning has made great strides for object detection in images. The...

0 Yu Hao, et al. ∙

research

∙ 09/06/2022

Learning to Predict on Octree for Scalable Point Cloud Geometry Coding

Octree-based point cloud representation and compression have been adopte...

0 Yixiang Mao, et al. ∙

research

∙ 08/19/2022

Improved Image Classification with Token Fusion

In this paper, we propose a method using the fusion of CNN and transform...

0 Keong Hun Choi, et al. ∙

research

∙ 08/17/2022

Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision

People with blindness and low vision (pBLV) experience significant chall...

17 Yu Hao, et al. ∙

research

∙ 04/23/2022

Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary Prior

Image processing neural networks, natural and artificial, have a long hi...

0 Nikola Janjušević, et al. ∙

research

∙ 04/15/2022

Feature Compression for Rate Constrained Object Detection on the Edge

Recent advances in computer vision has led to a growth of interest in de...

3 Zhongzheng Yuan, et al. ∙

research

∙ 03/23/2022

Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis

Many studies on dialog emotion analysis focus on utterance-level emotion...

0 Yequan Wang, et al. ∙

research

∙ 01/29/2022

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices

It is known that the decomposition in low-rank and sparse matrices (L+S ...

0 Jiangjun Peng, et al. ∙

research

∙ 12/30/2021

VisQA: Quantifying Information Visualisation Recallability via Question Answering

Despite its importance for assessing the effectiveness of communicating ...

0 Yao Wang, et al. ∙

research

∙ 12/25/2021

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See” More, Farther and Faster

Advanced wearable devices are increasingly incorporating high-resolution...

20 Zhongzheng Yuan, et al. ∙

research

∙ 12/18/2021

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

Knowledge graphs (KGs), as structured representations of real world fact...

0 Yuliang Wei, et al. ∙

research

∙ 12/12/2021

MPLR: a novel model for multi-target learning of logical rules for knowledge graph reasoning

Large-scale knowledge graphs (KGs) provide structured representations of...

0 Yuliang Wei, et al. ∙

research

∙ 12/04/2021

Scanpath Prediction on Information Visualisations

We propose Unified Model of Saliency and Scanpaths (UMSS) – a model that...

0 Yao Wang, et al. ∙

research

∙ 12/02/2021

CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing

Deep learning based methods hold state-of-the-art results in low-level i...

10 Nikola Janjušević, et al. ∙

research

∙ 11/29/2021

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

One of the key criticisms of deep learning is that large amounts of expe...

0 Jack Langerman, et al. ∙

research

∙ 11/28/2021

Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets

In this paper, we study the generalization performance of global minima ...

0 Shao-Bo Lin, et al. ∙

research

∙ 11/13/2021

Nyström Regularization for Time Series Forecasting

This paper focuses on learning rate analysis of Nyström regularization w...

0 Zirui Sun, et al. ∙

research

∙ 09/24/2021

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration

Frequent Directions, as a deterministic matrix sketching technique, has ...

0 Chenhao Wang, et al. ∙

research

∙ 09/13/2021

Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation

In recent years, there have been an increasing number of applications of...

0 Yang Zhang, et al. ∙

research

∙ 08/23/2021

Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions

Low-tubal-rank tensor approximation has been proposed to analyze large-s...

0 Qianxin Yi, et al. ∙

research

∙ 08/05/2021

End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation

Recent years have witnessed rapid advances in learnt video coding. Most ...

0 Haojie Liu, et al. ∙

research

∙ 08/03/2021

Double-Dot Network for Antipodal Grasp Detection

This paper proposes a new deep learning approach to antipodal grasp dete...

3 Yao Wang, et al. ∙

research

∙ 06/23/2021

Universal Consistency of Deep Convolutional Neural Networks

Compared with avid research activities of deep convolutional neural netw...

0 Shao-Bo Lin, et al. ∙

research

∙ 06/01/2021

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI

Background. Studies have shown that the conventional left ventricular me...

0 Zhuo He, et al. ∙

research

∙ 04/29/2021

Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks

We introduce Tuna, a static analysis approach to optimizing deep neural ...

0 Yao Wang, et al. ∙

research

∙ 04/04/2021

PDWN: Pyramid Deformable Warping Network for Video Interpolation

Video interpolation aims to generate a non-existent intermediate frame g...

0 Zhiqi Chen, et al. ∙

research

∙ 03/05/2021

CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning

Deep learning based methods hold state-of-the-art results in image denoi...

0 Nikola Janjušević, et al. ∙

research

∙ 01/31/2021

The distance between the weights of the neural network is meaningful

In the application of neural networks, we need to select a suitable mode...

0 Liqun Yang, et al. ∙

research

∙ 09/16/2020

Kernel-based L_2-Boosting with Structure Constraints

Developing efficient kernel methods for regression is very popular in th...

0 Yao Wang, et al. ∙

research

∙ 07/21/2020

Authentication against Man-in-the-Middle Attack with a Time-variant Reconfigurable Dual-LFSR-based Arbiter PUF

With the expansion of the Internet of Things industry, the information s...

0 Yao Wang, et al. ∙

research

∙ 07/09/2020

Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

Over the past two decades, traditional block-based video coding has made...

0 Haojie Liu, et al. ∙

research

∙ 02/27/2020

Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control

The intelligent control of traffic signal is critical to the optimizatio...

3 Junjia Liu, et al. ∙

research

∙ 02/27/2020

Learning Scalable Multi-Agent Coordination by Spatial Differential for Traffic Signal Control

The intelligent control of the traffic signal is critical to the optimiz...

0 Junjia Liu, et al. ∙

research

∙ 10/20/2019

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes

High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...

0 Tongda Xu, et al. ∙

research

∙ 10/12/2019

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples

We present a preference learning framework for multiple criteria sorting...

0 Jiapeng Liu, et al. ∙

research

∙ 09/23/2019

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning

High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...

0 Ziming Qiu, et al. ∙

research

∙ 09/17/2019

Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection

Foreground detection in a given video sequence is a pivotal step in many...

0 Amirhossein Khalilian-Gourtani, et al. ∙

research

∙ 09/02/2019

PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data

This paper proposes an algorithm named as PrTransH to learn embedding ve...

0 Linfeng Li, et al. ∙

research

∙ 08/10/2019

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method

Mild Traumatic Brain Injury (mTBI) is a significant public health proble...

0 Tongda Xu, et al. ∙

research

∙ 07/03/2019

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Modern deep learning applications urge to push the model inference takin...

0 Leyuan Wang, et al. ∙

research

∙ 06/05/2019

RIP-based performance guarantee for low-tubal-rank tensor recovery

The essential task of multi-dimensional data analysis focuses on the ten...

0 Feng Zhang, et al. ∙

research

∙ 05/11/2019

Deep Plug-and-play Prior for Low-rank Tensor Completion

Tensor image data sets such as color images and multispectral images are...

3 Wen-Hao Xu, et al. ∙

research

∙ 04/22/2019

Non-local Attention Optimized Deep Image Compression

This paper proposes a novel Non-Local Attention Optimized Deep Image Com...

0 Haojie Liu, et al. ∙

Yao Wang

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