b'Hui Li'

research

∙ 01/21/2022

Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking

We address the problem of multi-modal object tracking in video and explo...

Zhangyong Tang, et al. ∙

research

∙ 12/29/2021

Res2NetFuse: A Fusion Method for Infrared and Visible Images

This paper presents a novel Res2Net-based fusion framework for infrared ...

Xu Song, et al. ∙

research

∙ 11/19/2021

Enhanced countering adversarial attacks via input denoising and feature restoring

Despite the fact that deep neural networks (DNNs) have achieved prominen...

Yanni Li, et al. ∙

research

∙ 11/16/2021

Change-point detection for density sequence extracted from SHM data, with application to distributional information break diagnosis encountered in structural condition assessme

Diagnosing the changes of structural behaviors using monitoring data is ...

Xinyi Lei, et al. ∙

research

∙ 10/27/2021

A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy

Many real-world optimization problems such as engineering design can be ...

Wang Chen, et al. ∙

research

∙ 10/02/2021

Functional outlier detection for density-valued data with application to robustify distribution to distribution regression

Distributional data analysis, concerned with statistical analysis and mo...

Xinyi Lei, et al. ∙

research

∙ 07/13/2021

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...

Jie Chen, et al. ∙

research

∙ 07/03/2021

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing

Deep learning provides a promising way to extract effective representati...

Hui Li, et al. ∙

research

∙ 06/24/2021

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

Visual Information Extraction (VIE) task aims to extract key information...

Guozhi Tang, et al. ∙

research

∙ 05/17/2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Dynamic graph modeling has recently attracted much attention due to its ...

Lu Wang, et al. ∙

research

∙ 05/05/2021

Towards an efficient framework for Data Extraction from Chart Images

In this paper, we fill the research gap by adopting state-of-the-art com...

Weihong Ma, et al. ∙

research

∙ 04/05/2021

Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning

Due to the lack of natural scene and haze prior information, it is great...

Haoran Wei, et al. ∙

research

∙ 03/17/2021

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs

Code completion has become an essential component of integrated developm...

Yanlin Wang, et al. ∙

research

∙ 03/14/2021

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Automatic code summarization frees software developers from the heavy bu...

Chen Lin, et al. ∙

research

∙ 03/07/2021

RFN-Nest: An end-to-end residual fusion network for infrared and visible images

In the image fusion field, the design of deep learning-based fusion meth...

Hui Li, et al. ∙

research

∙ 03/01/2021

A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds

Rapid, accurate and robust detection of looming objects in cluttered mov...

Xiao Huang, et al. ∙

research

∙ 03/01/2021

A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds

Robust and accurate detection of small moving targets in cluttered movin...

Xiao Huang, et al. ∙

research

∙ 03/01/2021

Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans

The database systems course is offered as part of an undergraduate compu...

Weiguo Wang, et al. ∙

research

∙ 02/25/2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...

Yuanhan Zhang, et al. ∙

research

∙ 02/13/2021

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

Online gaming is a multi-billion-dollar industry, which is growing faste...

Si Chen, et al. ∙

research

∙ 01/26/2021

Self Sparse Generative Adversarial Networks

Generative Adversarial Networks (GANs) are an unsupervised generative mo...

Wenliang Qian, et al. ∙

research

∙ 01/21/2021

Understand Volatility of Algorithmic Stablecoin: Modeling, Verification and Empirical Analysis

An algorithmic stablecoin is a type of cryptocurrency managed by algorit...

Wenqi Zhao, et al. ∙

research

∙ 12/22/2020

To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

Recent advances in machine learning, wireless communication, and mobile ...

Liang Li, et al. ∙

research

∙ 11/17/2020

Knowledge-Augmented Dexterous Grasping with Incomplete Sensing

Humans can determine a proper strategy to grasp an object according to t...

Bharath Rao, et al. ∙

research

∙ 11/01/2020

Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack

Public intelligent services enabled by machine learning algorithms are v...

Haonan Yan, et al. ∙

research

∙ 10/26/2020

Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network

Fashion products typically feature in compositions of a variety of style...

Haibo Su, et al. ∙

research

∙ 10/22/2020

Deep Learning is Singular, and That's Good

In singular models, the optimal set of parameters forms an analytic set ...

Daniel Murfet, et al. ∙

research

∙ 10/15/2020

Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly

In this work we solve for partially observable reinforcement learning (R...

Jieliang Luo, et al. ∙

research

∙ 10/14/2020

Towards the Transportation Internet: Concepts, Architectures and Requirements

The Internet has become a general network design paradigm. The Energy In...

Hui Li, et al. ∙

research

∙ 09/07/2020

Fast and Secure Distributed Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) has been successfully applied in ...

Yuqiu Qian, et al. ∙

research

∙ 07/01/2020

NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models

In this paper we propose a novel method for infrared and visible image f...

Hui Li, et al. ∙

research

∙ 06/08/2020

Outlier Detection Using a Novel method: Quantum Clustering

We propose a new assumption in outlier detection: Normal data instances ...

Ding Liu, et al. ∙

research

∙ 06/06/2020

A Robust Attentional Framework for License Plate Recognition in the Wild

Recognizing car license plates in natural scene images is an important y...

Linjiang Zhang, et al. ∙

research

∙ 06/02/2020

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge

Conventional referring expression comprehension (REF) assumes people to ...

Peng Wang, et al. ∙

research

∙ 06/01/2020

Structured Multimodal Attentions for TextVQA

Text based Visual Question Answering (TextVQA) is a recently raised chal...

Chenyu Gao, et al. ∙

research

∙ 05/27/2020

How does Working from Home Affect Developer Productivity? – A Case Study of Baidu During COVID-19 Pandemic

Nowadays, working from home (WFH) has become a popular work arrangement ...

Lingfeng Bao, et al. ∙

research

∙ 05/17/2020

Attacking Recommender Systems with Augmented User Profiles

Recommendation Systems (RS) have become an essential part of many online...

Chen Lin, et al. ∙

research

∙ 04/19/2020

Intention Propagation for Multi-agent Reinforcement Learning

A hallmark of an AI agent is to mimic human beings to understand and int...

Chao Qu, et al. ∙

research

∙ 04/18/2020

Underwater image enhancement with Image Colorfulness Measure

Due to the absorption and scattering effects of the water, underwater im...

Hui Li, et al. ∙

research

∙ 04/16/2020

Machine-learning-based methods for output only structural modal identification

In this study, we propose a machine-learning-based approach to identify ...

Yuequan Bao, et al. ∙

research

∙ 04/08/2020

Smart Prediction of the Complaint Hotspot Problem in Mobile Network

In mobile network, a complaint hotspot problem often affects even thousa...

Lin Zhu, et al. ∙

research

∙ 03/06/2020

Recovering compressed images for automatic crack segmentation using generative models

In a structural health monitoring (SHM) system that uses digital cameras...

Yong Huang, et al. ∙

research

∙ 03/04/2020

Dynamic Experience Replay

We present a novel technique called Dynamic Experience Replay (DER) that...

Jieliang Luo, et al. ∙

research

∙ 02/18/2020

An Efficient Secure Dynamic Skyline Query Model

It is now cost-effective to outsource large dataset and perform query ov...

Weiguo Wang, et al. ∙

research

∙ 02/18/2020

SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud

It is now cost-effective to outsource large dataset and perform query ov...

Weiguo Wang, et al. ∙

research

∙ 02/09/2020

Target Privacy Preserving for Social Networks

In this paper, we incorporate the realistic scenario of key protection i...

Zhongyuan Jiang, et al. ∙

research

∙ 02/06/2020

Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism

Public intelligent services enabled by machine learning algorithms are v...

Xiaoguang Li, et al. ∙

research

∙ 02/04/2020

Improved dual channel pulse coupled neural network and its application to multi-focus image fusion

This paper presents an improved dual channel pulse coupled neural networ...

Huai-Shui Tong, et al. ∙

research

∙ 12/17/2019

Multi-focus Image Fusion Based on Similarity Characteristics

A novel multi-focus image fusion algorithm performed in spatial domain b...

Ya-Qiong Zhang, et al. ∙

research

∙ 11/02/2019

Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

In this paper, we aim to tackle the one-shot person re-identification pr...

Hui Li, et al. ∙

Hui Li

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