b'Ying Liu'

research

∙ 08/18/2023

The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation

Fashion understanding is a hot topic in computer vision, with many appli...

0 Junhui Liang, et al. ∙

research

∙ 07/14/2023

AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes

Image captioning is a significant field across computer vision and natur...

0 Guoyun Tu, et al. ∙

research

∙ 06/01/2023

Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding

This thesis provides an in-depth exploration of the Decentralized Co-gov...

0 Bingyou Chen, et al. ∙

research

∙ 05/26/2023

Adversarial Multi-task Learning for End-to-end Metaphor Detection

Metaphor detection (MD) suffers from limited training data. In this pape...

0 Shenglong Zhang, et al. ∙

research

∙ 05/22/2023

Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation

Word sense disambiguation (WSD), which aims to determine an appropriate ...

0 Zhu Liu, et al. ∙

research

∙ 05/12/2023

Agile gesture recognition for capacitive sensing devices: adapting on-the-job

Automated hand gesture recognition has been a focus of the AI community ...

0 Ying Liu, et al. ∙

research

∙ 04/17/2023

Scenario Approach for Parametric Markov Models

In this paper, we propose an approximating framework for analyzing param...

0 Ying Liu, et al. ∙

research

∙ 04/11/2023

A Novel Two-Layer DAG-based Reactive Protocol for IoT Data Reliability in Metaverse

Many applications, e.g., digital twins, rely on sensing data from Intern...

0 Changlin Yang, et al. ∙

research

∙ 08/19/2022

Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains

This paper reviews and highlights how coding schemes have been used to s...

0 Changlin Yang, et al. ∙

research

∙ 07/13/2022

RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment

Coronary CT Angiography (CCTA) is susceptible to various distortions (e....

0 Yiting Lu, et al. ∙

research

∙ 05/06/2022

RCMNet: A deep learning model assists CAR-T therapy for leukemia

Acute leukemia is a type of blood cancer with a high mortality rate. Cur...

35 Ruitao Zhang, et al. ∙

research

∙ 03/05/2022

Remiod: Reference-based Controlled Multiple Imputation of Longitudinal Binary and Ordinal Outcomes with non-ignorable missingness

Missing data on response variables are common in clinical studies. Corre...

0 Tony Wang, et al. ∙

research

∙ 02/09/2022

Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders

Recently proposed identifiable variational autoencoder (iVAE, Khemakhem ...

0 Young Geun Kim, et al. ∙

research

∙ 02/06/2022

The Exponential-Time Complexity of the complex weighted #CSP

In this paper, I consider a fine-grained dichotomy of Boolean counting c...

0 Ying Liu, et al. ∙

research

∙ 01/11/2022

Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks

Stock Movement Prediction (SMP) aims at predicting listed companies' sto...

0 Yu Zhao, et al. ∙

research

∙ 12/20/2021

CSSR: A Context-Aware Sequential Software Service Recommendation Model

We propose a novel software service recommendation model to help users f...

0 Mingwei Zhang, et al. ∙

research

∙ 12/06/2021

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks...

0 Yichen Zhu, et al. ∙

research

∙ 12/02/2021

Visual-Semantic Transformer for Scene Text Recognition

Modeling semantic information is helpful for scene text recognition. In ...

0 Xin Tang, et al. ∙

research

∙ 05/31/2021

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

Low-dose CT has been a key diagnostic imaging modality to reduce the pot...

6 Lu Xu, et al. ∙

research

∙ 05/12/2021

A Large-Scale Benchmark for Food Image Segmentation

Food image segmentation is a critical and indispensible task for develop...

0 Xiongwei Wu, et al. ∙

research

∙ 04/14/2021

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

Existing pre-trained language models (PLMs) have demonstrated the effect...

0 Song Xu, et al. ∙

research

∙ 12/16/2020

Summarizing Unstructured Logs in Online Services

Logs are one of the most valuable data sources for managing large-scale ...

0 Weibin Meng, et al. ∙

research

∙ 09/18/2020

A Knowledge Graph based Approach for Mobile Application Recommendation

With the rapid prevalence of mobile devices and the dramatic proliferati...

0 Mingwei Zhang, et al. ∙

research

∙ 09/15/2020

Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders

The estimation of causal effects is a primary goal of behavioral, social...

15 Xiaohong Chen, et al. ∙

research

∙ 08/06/2020

GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation

Although Generative Adversarial Networks have shown remarkable performan...

0 Ying Liu, et al. ∙

research

∙ 04/23/2020

Preliminary Study of Connectivity for Quantum Key Distribution Network

Quantum network is fragile to disturbances when qubits are transmitted t...

0 Ying Liu, et al. ∙

research

∙ 01/14/2020

Graph-Fused Multivariate Regression via Total Variation Regularization

In this paper, we propose the Graph-Fused Multivariate Regression (GFMR)...

0 Ying Liu, et al. ∙

research

∙ 10/31/2019

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk

Terminal ductal lobular unit (TDLU) involution is the regression of milk...

11 Suzanne C Wetstein, et al. ∙

research

∙ 12/04/2018

Unstructured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction

With the rapid development of online advertising and recommendation syst...

0 Chenglei Niu, et al. ∙

research

∙ 11/25/2018

Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval

Multi-view point cloud registration is a hot topic in the communities of...

0 Yaochen Li, et al. ∙

research

∙ 10/16/2018

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

Effective detection of arrhythmia is an important task in the remote mon...

0 Yunan Wu, et al. ∙

research

∙ 09/27/2018

Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection

A new statistical procedure (Model-X candes2018) has provided a way to i...

0 Ying Liu, et al. ∙

research

∙ 06/19/2018

Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks

One of the big restrictions in brain computer interface field is the ver...

0 Qiqi Zhang, et al. ∙

research

∙ 05/28/2018

ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing

This article proposes an edge content delivery framework (ECD) based on ...

0 Shangguang Wang, et al. ∙

research

∙ 05/21/2018

Weighted batch means estimators in Markov chain Monte Carlo

This paper proposes a family of weighted batch means variance estimators...

0 Ying Liu, et al. ∙

research

∙ 04/16/2018

Optimal mean squared error bandwidth for spectral variance estimators in MCMC simulations

This paper proposes optimal mean squared error bandwidths for a family o...

0 Ying Liu, et al. ∙

research

∙ 03/21/2018

On Maximizing Sampling Time of RF-Harvesting Sensor Nodes Over Random Channel Gains

In the future, sensor nodes or Internet of Things (IoTs) will be tasked ...

0 Changlin Yang, et al. ∙

research

∙ 03/20/2018

On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

Nowadays, millimeter-wave (mmWave) massive multiple-input multiple-outpu...

0 Jiayi Zhang, et al. ∙

research

∙ 02/25/2018

A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection

Customer retention is one of the primary goals in the area of customer r...

0 Kun Hu, et al. ∙

research

∙ 02/12/2018

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

To ensure undisrupted business, large Internet companies need to closely...

0 Haowen Xu, et al. ∙

research

∙ 01/28/2018

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

This paper presents the first deep reinforcement learning (DRL) framewor...

0 Ning Liu, et al. ∙

research

∙ 12/14/2017

Three IQs of AI Systems and their Testing Methods

The rapid development of artificial intelligence has brought the artific...

0 Feng Liu, et al. ∙

research

∙ 11/29/2017

Connectivity jamming game for physical layer attack in peer to peer networks

Because of the open access nature of wireless communications, wireless n...

0 Ying Liu, et al. ∙

research

∙ 11/29/2017

Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning

The combination of Artificial Intelligence (AI) and Internet-of-Things (...

0 Ying Liu, et al. ∙

research

∙ 09/29/2017

Intelligence Quotient and Intelligence Grade of Artificial Intelligence

Although artificial intelligence is currently one of the most interestin...

0 Feng Liu, et al. ∙

research

∙ 11/10/2013

Learning Gaussian Graphical Models with Observed or Latent FVSs

Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widel...

0 Ying Liu, et al. ∙

research

∙ 05/10/2011

Feedback Message Passing for Inference in Gaussian Graphical Models

While loopy belief propagation (LBP) performs reasonably well for infere...

0 Ying Liu, et al. ∙

Ying Liu

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