b'Jing Wang'

research

∙ 05/20/2022

MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion

Measuring the perceptual quality of images automatically is an essential...

Jing Wang, et al. ∙

research

∙ 05/17/2022

Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling

Faced with massive data, subsampling is a commonly used technique to imp...

Jing Wang, et al. ∙

research

∙ 05/05/2022

Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils

Traditional airfoil parametric technique has significant limitation in m...

Hairun Xie, et al. ∙

research

∙ 04/15/2022

Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation

Recognizing human locomotion intent and activities is important for cont...

Kuangen Zhang, et al. ∙

research

∙ 03/30/2022

Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity

Existing navigation policies for autonomous robots tend to focus on coll...

Quecheng Qiu, et al. ∙

research

∙ 03/18/2022

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Biomedical knowledge graphs (BioMedKGs) are essential infrastructures fo...

Sheng Yu, et al. ∙

research

∙ 03/07/2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Magnetic resonance (MR) images exhibit various contrasts and appearances...

Xinwen Liu, et al. ∙

research

∙ 02/25/2022

On The Design of a Light-weight FPGA Programming Framework for Graph Applications

FPGA accelerators designed for graph processing are gaining popularity. ...

Jing Wang, et al. ∙

research

∙ 01/20/2022

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

In this paper, we study the sharpness of a deep learning (DL) loss lands...

Devansh Bisla, et al. ∙

research

∙ 01/09/2022

Preserving Domain Private Representation via Mutual Information Maximization

Recent advances in unsupervised domain adaptation have shown that mitiga...

Jiahong Chen, et al. ∙

research

∙ 11/30/2021

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

Modern deep learning (DL) architectures are trained using variants of th...

Yunfei Teng, et al. ∙

research

∙ 11/09/2021

Video Text Tracking With a Spatio-Temporal Complementary Model

Text tracking is to track multiple texts in a video,and construct a traj...

Yuzhe Gao, et al. ∙

research

∙ 10/15/2021

Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction

Detecting anomalies for multivariate time-series without manual supervis...

Qinfeng Xiao, et al. ∙

research

∙ 10/08/2021

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

For the goal of automated design of high-performance deep convolutional ...

Shengran Hu, et al. ∙

research

∙ 09/04/2021

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

Sleep stage classification is essential for sleep assessment and disease...

Ziyu Jia, et al. ∙

research

∙ 09/01/2021

A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting

Keyword spotting (KWS) on mobile devices generally requires a small memo...

Shenghua Hu, et al. ∙

research

∙ 08/31/2021

Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection

Recently, logo detection has received more and more attention for its wi...

Baisong Zhang, et al. ∙

research

∙ 08/27/2021

Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting

Keyword spotting (KWS) on mobile devices generally requires a small memo...

Shenghua Hu, et al. ∙

research

∙ 08/22/2021

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

In this paper, we abandon the dominant complex language model and rethin...

Yuxin Wang, et al. ∙

research

∙ 08/10/2021

FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network

Food logo detection plays an important role in the multimedia for its wi...

Qiang Hou, et al. ∙

research

∙ 08/07/2021

HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition

The research on human emotion under multimedia stimulation based on phys...

Ziyu Jia, et al. ∙

research

∙ 07/15/2021

Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images

Domain shift is a problem commonly encountered when developing automated...

Andrew Moyes, et al. ∙

research

∙ 07/14/2021

Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions

The emergence and progression of multiple chronic conditions (MCC) over ...

Syed Hasib Akhter Faruqui, et al. ∙

research

∙ 06/02/2021

A Reconfigurable Relay for Polarization Encoded QKD Networks

We propose a method for reconfiguring a relay node for polarization enco...

Jing Wang, et al. ∙

research

∙ 05/21/2021

Generalization Error Bound for Hyperbolic Ordinal Embedding

Hyperbolic ordinal embedding (HOE) represents entities as points in hype...

Atsushi Suzuki, et al. ∙

research

∙ 04/23/2021

Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy

In this study, we propose a tailored DL framework for patient-specific p...

Jaehee Chun, et al. ∙

research

∙ 04/04/2021

Scene Text Retrieval via Joint Text Detection and Similarity Learning

Scene text retrieval aims to localize and search all text instances from...

Hao Wang, et al. ∙

research

∙ 04/02/2021

Learning to Filter: Siamese Relation Network for Robust Tracking

Despite the great success of Siamese-based trackers, their performance u...

Siyuan Cheng, et al. ∙

research

∙ 03/31/2021

Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI

MRI images of the same subject in different contrasts contain shared inf...

Xinwen Liu, et al. ∙

research

∙ 03/09/2021

Universal Undersampled MRI Reconstruction

Deep neural networks have been extensively studied for undersampled MRI ...

Xinwen Liu, et al. ∙

research

∙ 12/28/2020

A Guide to Global Quantum Key Distribution Networks

We describe systems and methods for the deployment of global quantum key...

Jing Wang, et al. ∙

research

∙ 11/03/2020

SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions

This paper addresses the problem of optimizing partition functions in a ...

Jing Wang, et al. ∙

research

∙ 10/29/2020

Point Cloud Attribute Compression via Successive Subspace Graph Transform

Inspired by the recently proposed successive subspace learning (SSL) pri...

Yueru Chen, et al. ∙

research

∙ 10/20/2020

Eliminating the Barriers: Demystifying Wi-Fi Baseband Design and Introducing the PicoScenes Wi-Fi Sensing Platform

Research on Wi-Fi sensing over the past decade has been thriving, but no...

Zhiping Jiang, et al. ∙

research

∙ 09/17/2020

A Time To Event Framework For Multi-touch Attribution

Multi-touch attribution (MTA) estimates the relative contributions of th...

Dinah Shender, et al. ∙

research

∙ 08/12/2020

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

Logo detection has been gaining considerable attention because of its wi...

Jing Wang, et al. ∙

research

∙ 07/31/2020

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions

Bayesian networks are powerful statistical models to study the probabili...

Syed Hasib Akhter Faruqui, et al. ∙

research

∙ 07/30/2020

FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method

Failure detection is employed in the industry to improve system performa...

Jairo Viola, et al. ∙

research

∙ 07/10/2020

Quantum Secured Internet Transport

Quantum computing represents an emerging threat to the public key infras...

Bernardo Huberman, et al. ∙

research

∙ 06/23/2020

Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment

In this study, we focus on the unsupervised domain adaptation problem wh...

Jing Wang, et al. ∙

research

∙ 06/23/2020

Discriminative Feature Alignment: ImprovingTransferability of Unsupervised DomainAdaptation by Gaussian-guided LatentAlignment

In this study, we focus on the unsupervised domain adaptation problem wh...

Jing Wang, et al. ∙

research

∙ 06/18/2020

Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks

Fluorescein angiography can provide a map of retinal vascular structure ...

Wanyue Li, et al. ∙

research

∙ 06/09/2020

Endpoints for randomized controlled clinical trials for COVID-19 treatments

Introduction: Endpoint choice for randomized controlled trials of treatm...

Lori E Dodd, et al. ∙

research

∙ 06/09/2020

Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets

5G heterogeneous networks (HetNets) can provide higher network coverage ...

Qianyu Liu, et al. ∙

research

∙ 06/04/2020

A Polynomial Neural network with Controllable Precision and Human-Readable Topology II: Accelerated Approach Based on Expanded Layer

How about converting Taylor series to a network to solve the black-box n...

Gang Liu, et al. ∙

research

∙ 05/05/2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...

Huazhu Fu, et al. ∙

research

∙ 04/25/2020

A Relation Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand

There are two famous function decomposition methods in math: 1) Taylor S...

Gang Liu, et al. ∙

research

∙ 04/25/2020

Muscle Synergy and Coupling for Hand

The knowledge of the intuitive link between muscle activity and the fing...

Gang Liu, et al. ∙

research

∙ 04/08/2020

A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification

Although the success of artificial neural networks (ANNs), there is stil...

Gang Liu, et al. ∙

research

∙ 03/29/2020

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

This research proposes a Ground Penetrating Radar (GPR) data processing ...

Senlin Yang, et al. ∙

Jing Wang

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