Search Results for author:
Found 9 papers, 7 papers with code
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment
In this paper, we investigate the naturalness of semantic-preserving transformations and their impacts on the evaluation of NPR.
Multi-Granularity Detector for Vulnerability Fixes
To address these challenges and boost the effectiveness of prior works, we propose MiDas (Multi-Granularity Detector for Vulnerability Fixes).
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
In case our approach fails to determine an overfitting patch based on invariants, INVALIDATOR utilizes a trained model from labeled patches to assess patch correctness based on program syntax.
VulCurator: A Vulnerability-Fixing Commit Detector
Open-source software (OSS) vulnerability management process is important nowadays, as the number of discovered OSS vulnerabilities is increasing over time.
AutoPruner: Transformer-Based Call Graph Pruning
Given a call graph constructed by traditional static analysis tools, AutoPruner takes a Transformer-based approach to capture the semantic relationships between the caller and callee functions associated with each edge in the call graph.
Usability and Aesthetics: Better Together for Automated Repair of Web Pages
In this paper, we propose an automated repair approach for web pages based on meta-heuristic algorithms that can assure both usability and aesthetics.
Toward the Analysis of Graph Neural Networks
Graph Neural Networks (GNNs) have recently emerged as a robust framework for graph-structured data.
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
In this paper, we introduce SAFL, a self-attention-based neural network model with the focal loss for scene text recognition, to overcome the limitation of the existing approaches.
Ranked #4 on
Scene Text Recognition
on ICDAR 2003
Optical Character Recognition
Optical Character Recognition (OCR)
+1
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
The paper describes the organisation of the "HateSpeech Detection" (HSD) task at the VLSP workshop 2019 on detecting the fine-grained presence of hate speech in Vietnamese textual items (i. e., messages) extracted from Facebook, which is the most popular social network site (SNS) in Vietnam.
