Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis. - Zhihua Chen; Xiaolin Ju; Guilong Lu; Xiang Chen 005 (DSA, 2022)

SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval. - Xiangyu Shi; Xiaolin Ju; Xiang Chen 005; Guilong Lu; Mengqi Xu (QRS Companion, 2022)

Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study. - Guilong Lu; Xiaolin Ju; Xiang Chen 005; Shaoyu Yang 002; Liang Chen; Hao Shen 011 (APSEC, 2023)

CSVD-TF: Cross-project software vulnerability detection with TrAdaBoost by fusing expert metrics and semantic metrics. - Zhilong Cai; Yongwei Cai; Xiang Chen 005; Guilong Lu; Wenlong Pei; Junjie Zhao (J. Syst. Softw., 2024)

GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning. - Guilong Lu; Xiaolin Ju; Xiang Chen 005; Wenlong Pei; Zhilong Cai (J. Syst. Softw., 2024)

BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs. - Guilong Lu; Xuntao Guo; Rongjunchen Zhang; Wenqiao Zhu; Ji Liu (CoRR, 2025)

Semi-supervised software vulnerability assessment via code lexical and structural information fusion. - Wenlong Pei; Yilin Huang; Xiang Chen 005; Guilong Lu; Yong Liu 030; Chao Ni 001 (Autom. Softw. Eng., 2025)

SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning. - Liping Wang; Guilong Lu; Xiang Chen; Xiaofeng Dai; Jianlin Qiu (Autom. Softw. Eng., 2025)