Xiaolin Ju

40 papers B 2C 3Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating and improving LLM-based competitive program generation.
Inf. Softw. Technol.
Minnan Wei, Ziming Li, Xiang Chen, Menglin Zheng, Ziyan Qu, Cheng Yu, Siyu Chen, Xiaolin Ju
2025 J jnl
A Systematic Literature Review on Neural Code Translation.
CoRR
Xiang Chen, Jiacheng Xue, Xiaofei Xie, Caokai Liang, Xiaolin Ju
2025 J jnl
An Empirical Study of OpenAI API Discussions on Stack Overflow.
CoRR
Xiang Chen, Jibin Wang, Chaoyang Gao, Xiaolin Ju, Zhanqi Cui
2025 J jnl
CardioForest: An Explainable Ensemble Learning Model for Automatic Wide QRS Complex Tachycardia Diagnosis from ECG.
CoRR
Vaskar Chakma, Xiaolin Ju, Heling Cao, Xue Feng, Xiaodong Ji, Haiyan Pan, Gao Zhan
2025 J jnl
Enhancing long-tailed software vulnerability type classification via adaptive data augmentation and prompt tuning.
Appl. Soft Comput.
Long Zhang, Xiaolin Ju, Lina Gong, Jiyu Wang, Zilong Ren
2025 J jnl
Evaluating and Improving Large Language Models for Competitive Program Generation.
CoRR
Minnan Wei, Ziming Li, Xiang Chen, Menglin Zheng, Ziyan Qu, Cheng Yu, Siyu Chen, Xiaolin Ju
2025 J jnl
FedMVA: Enhancing software vulnerability assessment via federated multimodal learning.
J. Syst. Softw.
Qingyun Liu, Xiaolin Ju, Xiang Chen, Lina Gong
2025 J jnl
HGAN4VD: Leveraging Heterogeneous Graph Attention Networks for enhanced Vulnerability Detection.
Comput. Secur.
Yucheng Zhang, Xiaolin Ju, Xiang Chen, Misbahul Amin, Zilong Ren
2025 J jnl
Improving distributed learning-based vulnerability detection via multi-modal prompt tuning.
J. Syst. Softw.
Zilong Ren, Xiaolin Ju, Xiang Chen, Yubin Qu
2025 J jnl
Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning.
CoRR
Siyu Chen, Jiongyi Yang, Xiang Chen, Menglin Zheng, Minnan Wei, Xiaolin Ju
2025 J jnl
JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction.
Inf. Softw. Technol.
Xiaolin Ju, Yi Cao, Xiang Chen, Lina Gong, Vaskar Chakma, Xin Zhou
2025 J jnl
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection.
Autom. Softw. Eng.
Yi Cao, Xiaolin Ju, Xiang Chen, Lina Gong
2024 — conf
Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction.
QRS Companion
Yucheng Zhang, Chenqiang Shen, Xiaolin Ju, Hao Shen, Xiang Chen
2024 J jnl
Bash comment generation via data augmentation and semantic-aware CodeBERT.
Autom. Softw. Eng.
Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2024 J jnl
GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning.
J. Syst. Softw.
Guilong Lu, Xiaolin Ju, Xiang Chen, Wenlong Pei, Zhilong Cai
2024 J jnl
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning.
Autom. Softw. Eng.
Zilong Ren, Xiaolin Ju, Xiang Chen, Hao Shen
2023 C conf
An Empirical Study of Adversarial Training in Code Comment Generation.
SEKE
Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2023 C conf
Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.
APSEC
Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen, Hao Shen
2023 B conf
EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.
COMPSAC
Hao Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2023 J jnl
GNet4FL: effective fault localization via graph convolutional neural network.
Autom. Softw. Eng.
Jie Qian, Xiaolin Ju, Xiang Chen
2022 — conf
Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis.
DSA
Zhihua Chen, Xiaolin Ju, Guilong Lu, Xiang Chen
2022 J jnl
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.
Inf. Softw. Technol.
Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang
2022 — conf
SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval.
QRS Companion
Xiangyu Shi, Xiaolin Ju, Xiang Chen, Guilong Lu, Mengqi Xu
2021 C conf
AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization.
QRS
Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen
2021 J jnl
Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.
IET Softw.
Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju
2021 — conf
Improving Blocking Bug Pair Prediction via Hybrid Deep Learning.
QRS Companion
Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen
2020 J jnl
Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model.
IEEE Access
Xiaolin Ju, Jie Qian, Zhihua Chen, Chunyu Zhao, Junyan Qian
2019 J jnl
DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy.
J. Comput. Sci. Technol.
Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju
2018 — conf
Software Defect Prediction Model Sharing Under Differential Privacy.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Dun Zhang, Xiang Chen, Zhanqi Cui, Xiaolin Ju
2017 — conf
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.
QRS Companion
Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, Baowen Xu
2017 — conf
An Interactive Debugging Framework with Heuristic Graph.
SATE
Xiaolin Ju, Xiang Chen, Shujuan Jiang, Junyan Qian
2017 — conf
Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization.
COMPSAC (2)
Xiang Chen, Yuxiang Shen, Zhanqi Cui, Xiaolin Ju
2017 J jnl
Cost-effective testing based fault localization with distance based test-suite reduction.
Sci. China Inf. Sci.
Xingya Wang, Shujuan Jiang, Pengfei Gao, Xiaolin Ju, Rongcun Wang, Yanmei Zhang
2016 — conf
Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization.
SATE
Xingya Wang, Shujuan Jiang, Pengfei Gao, Xiaolin Ju, Rongcun Wang, Yanmei Zhang
2015 J jnl
An approach of class integration test order determination based on test levels.
Softw. Pract. Exp.
Yanmei Zhang, Shujuan Jiang, Guan Yuan, Xiaolin Ju, Hongchang Zhang
2015 B conf
Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization.
COMPSAC
Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu
2014 J jnl
An approach for test data generation using program slicing and particle swarm optimization.
Neural Comput. Appl.
Shujuan Jiang, Dandan Yi, Xiaolin Ju, Lingsai Wang, Yingqi Liu
2014 J jnl
Applying Association Analysis to Dynamic Slicing Based Fault Localization.
IEICE Trans. Inf. Syst.
Heling Cao, Shujuan Jiang, Xiaolin Ju, Yanmei Zhang, Guan Yuan
2014 J jnl
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices.
J. Syst. Softw.
Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, Heling Cao
2013 — conf
An Approach for Fault Localization Based on Program Slicing and Bayesian.
QSIC
Yingqi Liu, Wei Li, Shujuan Jiang, Yanmei Zhang, Xiaolin Ju