b'Chen Wu'

research

∙ 08/28/2023

SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images

Change detection (CD) is a fundamental and important task for monitoring...

0 Haonan Guo, et al. ∙

research

∙ 08/04/2023

T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images

Remote sensing image change detection aims to identify the differences b...

0 Huan Zhong, et al. ∙

research

∙ 07/23/2023

Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction

Buildings are the basic carrier of social production and human life; roa...

0 Haonan Guo, et al. ∙

research

∙ 07/23/2023

Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision

The efficacy of building footprint segmentation from remotely sensed ima...

0 Haonan Guo, et al. ∙

research

∙ 07/23/2023

DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space

Change detection (CD) is an important yet challenging task in the Earth ...

0 Haonan Guo, et al. ∙

research

∙ 07/20/2023

Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection

Weakly-supervised change detection (WSCD) aims to detect pixel-level cha...

0 Zhenghui Zhao, et al. ∙

research

∙ 05/05/2023

Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices

Photoplethysmogram (PPG) signals are easily contaminated by motion artif...

5 Chen Wu, et al. ∙

research

∙ 04/22/2023

An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea

Wearing face mask is an effective measure to reduce the risk of COVID-19...

0 Chen Wu, et al. ∙

research

∙ 04/18/2023

GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection

High spectral resolution imagery of the Earth's surface enables users to...

3 Meiqi Hu, et al. ∙

research

∙ 03/24/2023

EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection

Hyperspectral change detection plays an essential role of monitoring the...

2 Meiqi Hu, et al. ∙

research

∙ 03/06/2023

Learning to Backdoor Federated Learning

In a federated learning (FL) system, malicious participants can easily e...

0 Henger Li, et al. ∙

research

∙ 02/21/2023

HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection

Very-high-resolution (VHR) remote sensing (RS) image change detection (C...

5 Chengxi Han, et al. ∙

research

∙ 11/14/2022

Grafting Pre-trained Models for Multimodal Headline Generation

Multimodal headline utilizes both video frames and transcripts to genera...

7 Lingfeng Qiao, et al. ∙

research

∙ 10/03/2022

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

Unsupervised multimodal change detection is a practical and challenging ...

10 Hongruixuan Chen, et al. ∙

research

∙ 09/14/2022

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models

Neural ranking models (NRMs) have achieved promising results in informat...

0 Chen Wu, et al. ∙

research

∙ 08/19/2022

Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment

This paper designs a new and scientific environmental quality assessment...

0 Chunyu Sui, et al. ∙

research

∙ 06/27/2022

DeepPERF: A Deep Learning-Based Approach For Improving Software Performance

Improving software performance is an important yet challenging part of t...

0 Spandan Garg, et al. ∙

research

∙ 08/18/2021

Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images

Recently, FCNs have attracted widespread attention in the CD field. In p...

9 Hongruixuan Chen, et al. ∙

research

∙ 08/11/2021

Are Neural Ranking Models Robust?

Recently, we have witnessed the bloom of neural ranking models in the in...

0 Chen Wu, et al. ∙

research

∙ 08/06/2021

Distilling Transformers for Neural Cross-Domain Search

Pre-trained transformers have recently clinched top spots in the gamut o...

4 Colin B. Clement, et al. ∙

research

∙ 07/17/2021

Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix

The advance in machine learning (ML)-driven natural language process (NL...

14 Wenshuo Wang, et al. ∙

research

∙ 04/16/2021

Generating Bug-Fixes Using Pretrained Transformers

Detecting and fixing bugs are two of the most important yet frustrating ...

14 Dawn Drain, et al. ∙

research

∙ 04/12/2021

Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers

We approach the important challenge of code autocompletion as an open-do...

0 Dawn Drain, et al. ∙

research

∙ 03/02/2021

Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery

As the COVID-19 epidemic began to worsen in the first months of 2020, st...

1 Chen Wu, et al. ∙

research

∙ 02/25/2021

Learning to Truncate Ranked Lists for Information Retrieval

Ranked list truncation is of critical importance in a variety of profess...

0 Chen Wu, et al. ∙

research

∙ 10/28/2020

Mitigating Backdoor Attacks in Federated Learning

Malicious clients can attack federated learning systems by using malicio...

6 Chen Wu, et al. ∙

research

∙ 10/27/2020

Hyperspectral Anomaly Change Detection Based on Auto-encoder

With the hyperspectral imaging technology, hyperspectral data provides a...

20 Meiqi Hu, et al. ∙

research

∙ 06/26/2020

A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery

Wuhan, the biggest city in China's central region with a population of m...

5 Chen Wu, et al. ∙

research

∙ 06/16/2020

DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection

Change detection (CD) is one of the most vital applications in remote se...

6 Hongruixuan Chen, et al. ∙

research

∙ 06/03/2020

Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion

Classifying multi-temporal scene land-use categories and detecting their...

15 Lixiang Ru, et al. ∙

research

∙ 04/20/2020

On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond

Variational autoencoders (VAEs) combine latent variables with amortized ...

8 Chen Wu, et al. ∙

research

∙ 04/14/2020

PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation

Self-supervised pre-training has emerged as a powerful technique for nat...

0 Bin Bi, et al. ∙

research

∙ 04/13/2020

Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images

Recently, deep learning has achieved promising performance in the change...

2 Hongruixuan Chen, et al. ∙

research

∙ 12/18/2019

Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

With the development of Earth observation technology, very-high-resoluti...

28 Chen Wu, et al. ∙

research

∙ 09/08/2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

The ability of semantic reasoning over the sentence pair is essential fo...

0 Xingyi Cheng, et al. ∙

research

∙ 09/06/2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Commonsense and background knowledge is required for a QA model to answe...

0 Bin Bi, et al. ∙

research

∙ 08/13/2019

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...

0 Wei Wang, et al. ∙

research

∙ 08/13/2019

Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning

This paper focuses on how to take advantage of external relational knowl...

0 Jiangnan Xia, et al. ∙

research

∙ 06/27/2019

Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images

Very high resolution (VHR) images provide abundant ground details and sp...

6 Hongruixuan Chen, et al. ∙

research

∙ 06/05/2019

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

Unsupervised text style transfer aims to alter text styles while preserv...

0 Chen Wu, et al. ∙

research

∙ 04/01/2019

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

Scene understanding of high resolution aerial images is of great importa...

35 Foivos I. Diakogiannis, et al. ∙

research

∙ 03/16/2019

A Deep Look into Neural Ranking Models for Information Retrieval

Ranking models lie at the heart of research on information retrieval (IR...

0 Jiafeng Guo, et al. ∙

research

∙ 02/07/2019

Optimizing seed inputs in fuzzing with machine learning

The success of a fuzzing campaign is heavily depending on the quality of...

0 Liang Cheng, et al. ∙

research

∙ 12/03/2018

Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

Change detection has been a hotspot in remote sensing technology for a l...

0 Bo Du, et al. ∙

research

∙ 11/29/2018

Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering

This paper describes a novel hierarchical attention network for reading ...

0 Wei Wang, et al. ∙

research

∙ 11/28/2018

A Deep Cascade Model for Multi-Document Reading Comprehension

A fundamental trade-off between effectiveness and efficiency needs to be...

0 Ming Yan, et al. ∙

research

∙ 05/19/2018

Partitioning SKA Dataflows for Optimal Graph Execution

Optimizing data-intensive workflow execution is essential to many modern...

0 Chen Wu, et al. ∙

research

∙ 04/25/2018

Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker

Object tracking is a hot topic in computer vision. Thanks to the booming...

0 Bo Du, et al. ∙

research

∙ 03/06/2018

Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach

Labeling each instance in a large dataset is extremely labor- and time- ...

0 Xi Fang, et al. ∙

research

∙ 08/15/2017

Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016

Personalized search has been a hot research topic for many years and has...

0 Chen Wu, et al. ∙

Chen Wu

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