Empirical Evaluation on the Impact of Class Overlap for EEG-Based Early Epileptic Seizure Detection. - Yubin Qu; Xiang Chen 005; Fang Li; Fan Yang; Junxia Ji; Long Li 005 (IEEE Access, 2020)

Active Learning Empirical Research on Cross-Version Software Defect Prediction Datasets. - Fang Li; Yubin Qu; Junxia Ji; Dejun Zhang; Long Li 005 (Int. J. Perform. Eng., 2020)

LAL: Meta-Active Learning-based Software Defect Prediction. - Yubin Qu; Fang Li; Xiang Chen 005 (Int. J. Perform. Eng., 2020)

Do different cross-project defect prediction methods identify the same defective modules? - Xiang Chen 005; Yanzhou Mu; Yubin Qu; Chao Ni 001; Meng Liu; Tong He; Shangqing Liu (J. Softw. Evol. Process., 2020)

CIL-BSP: Bug Report Severity Prediction based on Class Imbalanced Learning. - Yu Su; Xinping Hu; Xiang Chen 005; Yubin Qu; Qianshuang Meng (QRS Companion, 2022)

Can We Predict Student Performance Based on Tabular and Textual Data? - Yubin Qu; Fang Li; Long Li 005; Xianzhen Dou; Hongmei Wang (IEEE Access, 2022)

Do we need to pay technical debt in blockchain software systems? - Yubin Qu; Tie Bao; Xiang Chen 005; Long Li 005; Xianzhen Dou; Meng Yuan; Hongmei Wang (Connect. Sci., 2022)

Empirical Research for Self-Admitted Technical Debt Detection in Blockchain Software Projects. - Yubin Qu; W. Eric Wong; Dongcheng Li 001 (Int. J. Perform. Eng., 2022)

A Fine-Grained Emotion Prediction Method Based on Large Language Models. - Fang Li; Yubin Qu; Chao Feng; Xianzhen Dou; Long Li 005 (QRS Companion, 2024)

Reliability Evaluation of Classroom Teaching with MCI in College Based on the DFT Model. - Siwei Zhou; Xiaohong Peng; Yinghuai Yu; Yubin Qu; Ting Zeng (QRS Companion, 2024)

CriticalFuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks. - Tongtong Bai; Song Huang; Yifan Huang; Xingya Wang; Chunyan Xia; Yubin Qu; Zhen Yang 025 (Inf. Softw. Technol., 2024)

Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks. - Yubin Qu; Song Huang; Xiang Chen 005; Xingya Wang; Yongming Yao (J. Syst. Softw., 2024)

A survey on robustness attacks for deep code models. - Yubin Qu; Song Huang; Yongming Yao (Autom. Softw. Eng., 2024)

An input-denoising-based defense against stealthy backdoor attacks in large language models for code. - Yubin Qu; Song Huang; Xiang Chen 005; Tongtong Bai; Yongming Yao (Inf. Softw. Technol., 2025)

A review of backdoor attacks and defenses in code large language models: Implications for security measures. - Yubin Qu; Song Huang; Peng Nie (Inf. Softw. Technol., 2025)

Improving distributed learning-based vulnerability detection via multi-modal prompt tuning. - Zilong Ren; Xiaolin Ju; Xiang Chen 005; Yubin Qu (J. Syst. Softw., 2025)

A Vulnerability Code Intent Summary Dataset. - Yifan Huang; Weisong Sun; Yubin Qu (CoRR, 2025)

BadCodePrompt: backdoor attacks against prompt engineering of large language models for code generation. - Yubin Qu; Song Huang; Yanzhou Li; Tongtong Bai; Xiang Chen; Xingya Wang; Long Li; Yongming Yao (Autom. Softw. Eng., 2025)