An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
This article presents a new text rendering method called Grammar-Preserving Text Saliency Modulation (GP-TSM). GP-TSM uses a…
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
The article introduces DynaVis, an innovative tool that combines natural language interfaces and UI widgets for visualization…
RetinaVR: Democratizing Vitreoretinal Surgery Training with a Portable and Affordable Virtual Reality Simulator in the Metaverse
The article discusses the development of RetinaVR, a virtual reality simulator for vitreoretinal surgery training using the…
HGAttack: Transferable Heterogeneous Graph Adversarial Attack
The paper discusses the increasing recognition of Heterogeneous Graph Neural Networks (HGNNs) in areas like web and…
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning
The article introduces SymbolNet, a new approach to symbolic regression using neural networks. Unlike traditional methods, SymbolNet…
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
The paper presents Dual-Prism (DP), a new method for graph data augmentation that addresses issues like graph…
FLexChill: Improving Local Federated Learning Training with Logit Chilling
The article presents a new model training approach for federated learning called FLex&Chill, which utilizes the Logit…
Developing an AI-based Integrated System for Bee Health Evaluation
This study presents an AI-based system for evaluating bee health, using a combination of visual and audio…
Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network
This study introduces a machine learning algorithm that predicts whether patients with Atrial fibrillation (AF) should be…
Towards Principled Graph Transformers
The article ‘Towards Principled Graph Transformers’ discusses the expressive power of graph learning architectures, particularly the Edge…