
-
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
To enrich language models with domain knowledge is crucial but difficult...
read it
-
A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing
With the fast development of mobile edge computing (MEC), there is an in...
read it
-
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
Artificial intelligence methods have been increasingly turning into a po...
read it
-
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Graph Neural Networks (GNNs) have recently shown to be powerful tools fo...
read it
-
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems
Current cloud-based smart systems suffer from weaknesses such as high re...
read it
-
Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data
Boosting Trees are one of the most successful statistical learning appro...
read it
-
Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization
Accurate mapping and localization are very important for many industrial...
read it
-
SID-NISM: A Self-supervised Low-light Image Enhancement Framework
When capturing images in low-light conditions, the images often suffer f...
read it
-
Language Models are Open Knowledge Graphs
This paper shows how to construct knowledge graphs (KGs) from pre-traine...
read it
-
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN
What mechanisms causes GAN's entanglement? Although developing disentang...
read it
-
TP-LSD: Tri-Points Based Line Segment Detector
This paper proposes a novel deep convolutional model, Tri-Points Based L...
read it
-
Metrics for Exposing the Biases of Content-Style Disentanglement
Recent state-of-the-art semi- and un-supervised solutions for challengin...
read it
-
Disentangled Representations for Domain-generalized Cardiac Segmentation
Robust cardiac image segmentation is still an open challenge due to the ...
read it
-
Dialogue State Induction Using Neural Latent Variable Models
Dialogue state modules are a useful component in a task-oriented dialogu...
read it
-
Resource Allocation for Multi-Cell IRS-Aided NOMA Networks
This paper proposes a novel framework of resource allocation in multi-ce...
read it
-
Online Non-convex Learning for River Pollution Source Identification
In this paper, novel gradient based online learning algorithms are devel...
read it
-
Studying Product Competition Using Representation Learning
Studying competition and market structure at the product level instead o...
read it
-
Neighborhood Matching Network for Entity Alignment
Structural heterogeneity between knowledge graphs is an outstanding chal...
read it
-
Using Noisy Self-Reports to Predict Twitter User Demographics
Computational social science studies often contextualize content analysi...
read it
-
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
The present MVS methods with deep learning have an impressive performanc...
read it
-
Have you forgotten? A method to assess if machine learning models have forgotten data
In the era of deep learning, aggregation of data from several sources is...
read it
-
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning
This paper introduces our approach to the EmotioNet Challenge 2020. We p...
read it
-
NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
We proposed an unsupervised learning-based network, named NPF-MVSNet, fo...
read it
-
An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
Pixel-wise operations between polarimetric images are important for proc...
read it
-
Leveraging Planar Regularities for Point Line Visual-Inertial Odometry
With monocular Visual-Inertial Odometry (VIO) system, 3D point cloud and...
read it
-
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition
We consider direct modeling of underlying stock value movement sequences...
read it
-
Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods
Since the SARS outbreak in 2003, a lot of predictive epidemiological mod...
read it
-
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aide...
read it
-
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
A novel framework is proposed for the deployment and passive beamforming...
read it
-
Dynamic Instance Normalization for Arbitrary Style Transfer
Prior normalization methods rely on affine transformations to produce ar...
read it
-
Statistical Modeling for Spatio-Temporal Data from Physical Convection-Diffusion Processes
This paper proposes a statistical modeling approach for spatio-temporal ...
read it
-
TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation
In this work, we introduce a new problem, named as story-preserving lon...
read it
-
Coarse-To-Fine Visual Localization Using Semantic Compact Map
Robust visual localization for urban vehicles remains challenging and un...
read it
-
Jointly Learning Entity and Relation Representations for Entity Alignment
Entity alignment is a viable means for integrating heterogeneous knowled...
read it
-
Image Inpainting with Learnable Bidirectional Attention Maps
Most convolutional network (CNN)-based inpainting methods adopt standard...
read it
-
Deep Concept-wise Temporal Convolutional Networks for Action Localization
Existing action localization approaches adopt shallow temporal convoluti...
read it
-
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Entity alignment is the task of linking entities with the same real-worl...
read it
-
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
Temporal action proposal generation is an challenging and promising task...
read it
-
Open Domain Event Extraction Using Neural Latent Variable Models
We consider open domain event extraction, the task of extracting unconst...
read it
-
Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation
Cache-based side channels enable a dedicated attacker to reveal program ...
read it
-
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution
Recently, image super-resolution has been widely studied and achieved si...
read it
-
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Arbitrary attribute editing generally can be tackled by incorporating en...
read it
-
Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment
In Big Data environment, one pressing challenge facing engineers is to p...
read it
-
Basic Performance Measurements of the Intel Optane DC Persistent Memory Module
Scalable nonvolatile memory DIMMs will finally be commercially available...
read it
-
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
As the foundation of driverless vehicle and intelligent robots, Simultan...
read it
-
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
The task of video grounding, which temporally localizes a natural langua...
read it
-
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Distant supervision for relation extraction is an efficient method to re...
read it
-
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Despite the success of deep learning for static image understanding, it ...
read it
-
Fine-grained Video Categorization with Redundancy Reduction Attention
For fine-grained categorization tasks, videos could serve as a better so...
read it
-
AdaPtive Noisy Data Augmentation (PANDA) for Simultaneous Construction Multiple Graph Models
We extend the data augmentation technique (PANDA) by Li et al. (2018) fo...
read it