1 code implementation • 19 Feb 2024 • Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray
In this paper, we investigate the naturalness of semantic-preserving transformations and their impacts on the evaluation of NPR.
1 code implementation • 23 May 2023 • Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach D. Le, David Lo
To address these challenges and boost the effectiveness of prior works, we propose MiDas (Multi-Granularity Detector for Vulnerability Fixes).
1 code implementation • 3 Jan 2023 • Thanh Le-Cong, Duc-Minh Luong, Xuan Bach D. Le, David Lo, Nhat-Hoa Tran, Bui Quang-Huy, Quyet-Thang Huynh
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.
1 code implementation • 7 Sep 2022 • Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach D. Le, David Lo
Open-source software (OSS) vulnerability management process is important nowadays, as the number of discovered OSS vulnerabilities is increasing over time.
1 code implementation • 7 Sep 2022 • Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach D. Le, Huynh Quyet Thang
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.
no code implementations • 1 Jan 2022 • Thanh Le-Cong, Xuan Bach D. Le, Quyet-Thang Huynh, Phi-Le Nguyen
In this paper, we propose an automated repair approach for web pages based on meta-heuristic algorithms that can assure both usability and aesthetics.
no code implementations • 1 Jan 2022 • Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach D. Le, Quyet-Thang Huynh
Graph Neural Networks (GNNs) have recently emerged as a robust framework for graph-structured data.
1 code implementation • 1 Jan 2022 • Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh Hung Nguyen, Phi Le Nguyen
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
1 code implementation • 13 Jul 2020 • Xuan-Son Vu, Thanh Vu, Mai-Vu Tran, Thanh Le-Cong, Huyen T M. Nguyen
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.