research
∙
09/11/2023
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
Remote sensing image semantic segmentation is an important problem for r...
share
research
∙
06/15/2023
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain
The pervasive influence of misinformation has far-reaching and detriment...
research
∙
06/03/2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
Meta-learning has emerged as a trending technique to tackle few-shot tex...
research
∙
04/08/2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning
The two fields of urban planning and artificial intelligence (AI) arose ...
research
∙
03/21/2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
The prompt estimation of traffic incident impacts can guide commuters in...
research
∙
10/24/2022
LANS: Large-scale Arabic News Summarization Corpus
Text summarization has been intensively studied in many languages, and s...
research
∙
08/04/2022
Memetic algorithms for Spatial Partitioning problems
Spatial optimization problems (SOPs) are characterized by spatial relati...
research
∙
06/08/2022
Sampling-based techniques for designing school boundaries
Recently, an increasing number of researchers, especially in the realm o...
research
∙
12/26/2021
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
Urban planning refers to the efforts of designing land-use configuration...
research
∙
11/09/2021
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Modeling the spatiotemporal nature of the spread of infectious diseases ...
research
∙
09/22/2021
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning
Automated characterization of spatial data is a kind of critical geograp...
research
∙
07/21/2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks
During the past decade, deep learning's performance has been widely reco...
research
∙
10/16/2020
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Semantic editing on segmentation map has been proposed as an intermediat...
research
∙
08/22/2020
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Urban planning refers to the efforts of designing land-use configuration...
research
∙
07/03/2020
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Despite the great progress made by deep neural networks in the semantic ...
research
∙
02/27/2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
The success of deep learning has been widely recognized in many machine ...
research
∙
11/20/2019
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Critical incident stages identification and reasonable prediction of tra...
research
∙
07/17/2019
Mitigating Uncertainty in Document Classification
The uncertainty measurement of classifiers' predictions is especially im...
research
∙
05/22/2019
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Modeling and forecasting forward citations to a patent is a central task...
research
∙
02/14/2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Circuit obfuscation is a recently proposed defense mechanism to protect ...
research
∙
02/05/2019
Robust Regression via Online Feature Selection under Adversarial Data Corruption
The presence of data corruption in user-generated streaming data, such a...
research
∙
08/30/2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important state-of-art method is...
research
∙
08/26/2018
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
As the issue of freshwater shortage is increasing daily, it is critical ...
research
∙
07/06/2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Self-paced learning (SPL) mimics the cognitive process of humans, who ge...
research
∙
12/05/2017
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing
This paper presents SAFEBIKE, a novel route recommendation system for bi...
research
∙
12/05/2017
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
FusionGAN is a novel genre fusion framework for music generation that in...
research
∙
12/05/2017
Multimodal Storytelling via Generative Adversarial Imitation Learning
Deriving event storylines is an effective summarization method to succin...
research
∙
10/02/2017