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07/22/2023
Collaborative Graph Neural Networks for Attributed Network Embedding
Graph neural networks (GNNs) have shown prominent performance on attribu...
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06/29/2023
Towards Personalized Cold-Start Recommendation with Prompts
Recommender systems play a crucial role in helping users discover inform...
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05/31/2023
DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation
Accurate segmentation of large areas from very high spatial-resolution (...
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04/29/2023
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking
To provide real-time parking information, existing studies focus on pred...
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01/30/2023
Coarse-to-fine Hybrid 3D Mapping System with Co-calibrated Omnidirectional Camera and Non-repetitive LiDAR
This paper presents a novel 3D mapping robot with an omnidirectional fie...
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12/20/2022
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning
Molecular representation learning is crucial for the problem of molecula...
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12/09/2022
RCDT: Relational Remote Sensing Change Detection with Transformer
Deep learning based change detection methods have received wide attentoi...
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11/18/2022
Contrastive Knowledge Graph Error Detection
Knowledge Graph (KG) errors introduce non-negligible noise, severely aff...
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10/19/2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
The training of graph neural networks (GNNs) is extremely time consuming...
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09/25/2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
Cold start is an essential and persistent problem in recommender systems...
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09/21/2022
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Graph anomaly detection (GAD) is a vital task since even a few anomalies...
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09/14/2022
Graph Contrastive Learning with Personalized Augmentation
Graph contrastive learning (GCL) has emerged as an effective tool for le...
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08/02/2022
Improvements to enhance robustness of third-order scale-independent WENO-Z schemes
Although there are many improvements to WENO3-Z that target the achievem...
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01/07/2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
We introduce a novel masked graph autoencoder (MGAE) framework to perfor...
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07/28/2021
Evaluating the weight sensitivity in AHP-based flood risk estimation models
In the analytic hierarchy process (AHP) based flood risk estimation mode...
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07/28/2021
Third-order scale-independent WENO-Z scheme achieving optimal order at critical points
As we found previously, when critical points occur within grid intervals...
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07/06/2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Graph neural networks (GNNs) integrate deep architectures and topologica...
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07/05/2021
An extended watershed-based zonal statistical AHP model for flood risk estimation: Constraining runoff converging related indicators by sub-watersheds
Floods are highly uncertain events, occurring in different regions, with...
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06/05/2021
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
In this paper, we introduce a challenging global large-scale ship databa...
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05/24/2021
Pan-sharpening via High-pass Modification Convolutional Neural Network
Most existing deep learning-based pan-sharpening methods have several wi...
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05/23/2021
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Hyperspectral images (HSIs) have been widely used in a variety of applic...
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05/08/2021
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Recently, satellites with high temporal resolution have fostered wide at...
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04/11/2021
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
In response to the soaring needs of human mobility data, especially duri...
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03/03/2021
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
The rapid development of remote sensing techniques provides rich, large-...
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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...
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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...
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02/18/2021
Dynamic Memory based Attention Network for Sequential Recommendation
Sequential recommendation has become increasingly essential in various o...
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01/27/2021
On developing piecewise rational mapping with fine regulation capability for WENO schemes
On the idea of mapped WENO-JS scheme, properties of mapping methods are ...
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11/26/2020
ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
Understanding human mobility dynamics among places provides fundamental ...
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08/12/2020
Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
Controlled experiments are widely used in many applications to investiga...
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06/26/2020
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming
The conventional deep learning approaches for solving time-series proble...
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06/24/2020
Twitter, human mobility, and COVID-19
The outbreak of COVID-19 highlights the need for a more harmonized, less...
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06/12/2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Graph neural networks (GNNs), which learn the representation of a node b...
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05/02/2020
Teaching Machine Comprehension with Compositional Explanations
Advances in extractive machine reading comprehension (MRC) rely heavily ...
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01/20/2020
DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem
Car-sharing issue is a popular research field in sharing economy. In thi...
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12/17/2019
Multi-Channel Graph Convolutional Networks
Graph neural networks (GNN) has been demonstrated to be effective in cla...
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10/09/2019
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Sequence labeling is a fundamental framework for various natural languag...
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09/25/2019
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation
Named entity recognition (NER) identifies typed entity mentions in raw t...
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09/20/2019
A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation
Car-sharing problem is a popular research field in sharing economy. In t...
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09/07/2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Graph neural networks (GNN) has been successfully applied to operate on ...
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08/15/2019
A Multimodal Vision Sensor for Autonomous Driving
This paper describes a multimodal vision sensor that integrates three ty...
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08/11/2019
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Anomaly detection aims to distinguish observations that are rare and dif...
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05/14/2019
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors
Visual localization is an attractive problem that estimates the camera l...
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01/25/2019
A Discrepancy-Based Design for A/B Testing Experiments
The aim of this paper is to introduce a new design of experiment method ...
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01/02/2019
Multi-Label Adversarial Perturbations
Adversarial examples are delicately perturbed inputs, which aim to misle...
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06/29/2018
