Network Structure of Social Coding in GitHub
Ferdian Thung, Tegawendé F. Bissyandé, David Lo et al. · 2013
Cited by 211
Author · Singapore Management University
David Lo
- Works
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Most-cited papers
Improved Duplicate Bug Report Identification
Yuan Tian, C. P. Sun, David Lo · 2012
Cited by 117
SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding
Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang et al. · arXiv (Cornell University) · 2019
Cited by 78Open access
Assessing the Generalizability of Code2vec Token Embeddings
Hong Jin Kang, Tegawendé F. Bissyandé, David Lo · Open Repository and Bibliography (University of Luxembourg) · 2019
Cited by 77Open access
Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging
Shaowei Wang, David Lo, Lingxiao Jiang · Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) · 2012
Cited by 57Open access
An exploratory study on code attention in BERT
Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard et al. · 2022
Cited by 26Open access
Meta-Learning for Multi-Family Android Malware Classification
Yao Li, Dawei Yuan, Tao Zhang et al. · ACM Transactions on Software Engineering and Methodology · 2024
Cited by 16Open access
Clustering Classes in Packages for Program Comprehension
Xiaobing Sun, Xiangyue Liu, Bin Li et al. · Scientific Programming · 2017
Cited by 12Open access
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python
Ratnadira Widyasari, Zhou Yang, Ferdian Thung et al. · Figshare · 2023
Cited by 0Open access
CREME: Robustness Enhancement of Code LLMs via Layer-Aware Model Editing
Shuhan Liu, Xing Hu, Ke-Qiang Huang et al. · ArXiv.org · 2025
Cited by 0Open access
Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
Alexandra González-Eras, Xavier Franch, David Lo et al. · ArXiv.org · 2025
Cited by 0Open access
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
Zhaoyang Chu, Yao Wan, Zhikun Zhang et al. · ArXiv.org · 2025
Cited by 0Open access
Compiling Code LLMs into Lightweight Executables
Jieke Shi, Junda He, Zhou Yang et al. · arXiv (Cornell University) · 2026
Cited by 0Open access
Compiling Code LLMs into Lightweight Executables
Jieke Shi, Junda He, Zhou Yang et al. · Proceedings of the ACM on software engineering. · 2026
Cited by 0Open access
Evaluating Incompatible Third-party Library API Usage in LLM-based Code Completion
Li Lin, Yaorui Fei, Yunfeng Shen et al. · ACM Transactions on Software Engineering and Methodology · 2026
Cited by 0