AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization. - Jie Qian; Xiaolin Ju; Xiang Chen 005; Hao Shen 011; Yiheng Shen 002 (QRS, 2021)

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)

EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network. - Hao Shen 011; Xiaolin Ju; Xiang Chen 005; Guang Yang 019 (COMPSAC, 2023)

Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction. - Yucheng Zhang; Chenqiang Shen; Xiaolin Ju; Hao Shen 011; Xiang Chen 005 (QRS Companion, 2024)

ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning. - Zilong Ren; Xiaolin Ju; Xiang Chen 005; Hao Shen 011 (Autom. Softw. Eng., 2024)