Software Test Data Generation Based on Multi-agent. - Siwen Yu; Jun Ai; Yifu Zhang (FGIT-ASEA, 2009)

The Method for Measuring Large-scale Object-Oriented Software System. - Haohua Zhang; Hai Zhao; Wei Cai; Jun Ai (FSKD (3), 2009)

Design and Implementation for Ladder Diagram in Hydropower Simulation System Based on All Paths Searching Algorithm. - Bo Li 003; Hai Zhao 002; Chunhe Song; Hui Li 018; Jun Ai (Int. J. Commun. Netw. Syst. Sci., 2009)

Accelerate the Software Software Reliability Testing Execution Process with Fuzzy Discrimination. - Feng Zheng; Jun Ai; Jingwei Shang; Jinhui Wang (ISSRE Workshops, 2012)

Shortening the Cycle of Software Reliability Testing with Fuzzy Discrimination. - Jun Ai; Feng Zheng; Jingwei Shang (SERE, 2013)

The Determination Method for Software Reliability Qualitative Indices. - Qiuying Li; Lei Luo; Jun Ai (SERE, 2013)

Practical and finite-time fuzzy adaptive control for nonlinear descriptor systems with uncertainties of unknown bound. - Zhan Su; Qingling Zhang 001; Jun Ai (Int. J. Syst. Sci., 2013)

Software Reliability Virtual Testing for Reliability Assessment. - Jun Ai; Hanyu Pei; Liang Yan (SERE (Companion), 2014)

Software Network Models Based on Dynamic Execution for Fault Propagation Research. - Linzhi Huang; Jun Ai; Hanyu Pei (QRS Companion, 2015)

Finite-time fuzzy stabilisation and control for nonlinear descriptor systems with non-zero initial state. - Zhan Su; Qingling Zhang 001; Jun Ai; Xin Sun (Int. J. Syst. Sci., 2015)

MHCP Model for Quality Evaluation for Software Structure Based on Software Complex Network. - Yuwei Yang; Jun Ai; Xue-Lin Li; W. Eric Wong (ISSRE, 2016)

Correlation between the Distribution of Software Bugs and Network Motifs. - Shaoxiong Zhang 001; Jun Ai; Xue-Lin Li (QRS, 2016)

Research on Relations between Software Network Structure and Fault Propagation. - Jun Ai; Linzhi Huang; Fei Wang; Jiaming Wang (SATE, 2016)

An Exploratory Analysis on Software Developers' Bug-Introducing Tendency over Time. - Yihao Li; Dong Li; Fuqun Huang; Shou-Yu Lee; Jun Ai (SATE, 2016)

A study for extended regular expression-based testing. - Pan Liu; Jun Ai; Zhenning Jimmy Xu (ICIS, 2017)

Identifying key classes of object-oriented software based on software complex network. - Jiaming Wang; Jun Ai; Yiwen Yang; Wenzhu Su (ICSRS, 2017)

Identifying Indicators of Fake Reviews Based on Spammer's Behavior Features. - Pan Liu; Zhenning Jimmy Xu; Jun Ai; Fei Wang (QRS Companion, 2017)

Empirical Study on the Correlation Between Software Structural Modifications and Its Fault-Proneness. - Fei Wang; Jun Ai; Jiaming Wang (QRS Companion, 2017)

An improved robust finite-time dissipative control for uncertain fuzzy descriptor systems with disturbance. - Zhan Su; Jun Ai; Qingling Zhang 001; Naixue Xiong (Int. J. Syst. Sci., 2017)

Probability Model-Based Test Suite Reduction. - Pan Liu; Jun Ai; Zhenning Jimmy Xu (ACM SIGSOFT Softw. Eng. Notes, 2017)

Software Reliability Evaluation Method Based on a Software Network. - Jun Ai; Wenzhu Su; Fei Wang (ISSRE Workshops, 2018)

An Approach to Automatic Test Case Generation for Unit Testing. - Pan Liu; Zhenning Jimmy Xu; Jun Ai (QRS Companion, 2018)

Defect Prediction Based on the Characteristics of Multilayer Structure of Software Network. - Yiwen Yang; Jun Ai; Fei Wang (QRS Companion, 2018)

Automatic Detection for Reused Open Source Codes Based on Similarity Identification of Software Networks. - Tao Shi; Liang Yan; Haoran Guo; Jun Ai (DSA, 2019)

A GitHub-Based Data Collection Method for Software Defect Prediction. - Jiaxi Xu; Liang Yan; Fei Wang; Jun Ai (DSA, 2019)

A Clone Code Detection Method Based on Software Complex Network. - Haoran Guo; Jun Ai; Tao Shi (ISSRE Workshops, 2019)

A Cluster-Based Hybrid Feature Selection Method for Defect Prediction. - Fei Wang; Jun Ai; Zhuoliang Zou (QRS, 2019)

A Software Network Model for Software Structure and Faults Distribution Analysis. - Jun Ai; Wenzhu Su; Shaoxiong Zhang 001; Yiwen Yang (IEEE Trans. Reliab., 2019)

Implementation and Sustainability of Early Childhood Positive Behavior Support in Kansas: A Statewide Survey. - Jun Ai (2019)

Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation. - Yudi Liu; Minyan Lu; Di Peng; Jie Wang; Jun Ai (DSA, 2020)

The Quantitative Relationship between Adversarial Training and Robustness of CNN Model. - Jie Wang; Minyan Lu; Jun Ai; Xueyuan Sun (DSA, 2020)

Online Prediction of Server Crash Based on Running Data. - Zhuoliang Zou; Jun Ai (QRS Companion, 2020)

What Ruined Your Cake: Impacts of Code Modifications on Bug Distribution. - Jun Ai; Haoran Guo; W. Eric Wong (IEEE Access, 2020)

Decentralized Collaborative Filtering Algorithms Based on Complex Network Modeling and Degree Centrality. - Jun Ai; Zhan Su; Kaili Wang; Chunxue Wu; Dunlu Peng (IEEE Access, 2020)

Reliability Evaluation for Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net. - Lixiang Wang; Wei Dai 005; Jun Ai; Weiwei Duan; Yu Zhao 003 (IEEE Access, 2020)

A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures. - Shuguang Wang; Minyan Lu; Shiyi Kong; Jun Ai (Entropy, 2020)

Human-machine dialogue modelling with the fusion of word- and sentence-level emotions. - Dunlu Peng; Ming Zhou; Cong Liu 011; Jun Ai (Knowl. Based Syst., 2020)

Networked Fault Detection of Field Equipment from Monitoring System Based on Fusing of Motion Sensing and Appearance Information. - Chunxue Wu; Shengnan Guo 007; Yan Wu 007; Jun Ai; Neal N. Xiong (Multim. Tools Appl., 2020)

Code Comprehensibility Evaluation for Java Class based on LDA Topic Model. - Yikang Shao; Jun Ai (DSA, 2021)

Software Defect Prediction for Specific Defect Types based on Augmented Code Graph Representation. - Jiaxi Xu; Jun Ai; Tao Shi (DSA, 2021)

Construction of GUI Elements Recognition Model for AI Testing based on Deep Learning. - Congran Zhang; Tao Shi; Jun Ai; Wei Tian (DSA, 2021)

Detection Software Content Failures using Dynamic Execution Information. - Shiyi Kong; Minyan Lu; Bo Sun; Jun Ai; Shuguang Wang (QRS Companion, 2021)

Rating Prediction in Recommender Systems Based on User Behavior Probability and Complex Network Modeling. - Zhan Su; Zuyi Lin; Jun Ai; Hui Li 014 (IEEE Access, 2021)

Detection Software Content Failures Using Dynamic Execution Information. - Shiyi Kong; Minyan Lu; Jun Ai; Shuguang Wang (CoRR, 2021)

Defect Prediction With Semantics and Context Features of Codes Based on Graph Representation Learning. - Jiaxi Xu; Fei Wang 144; Jun Ai (IEEE Trans. Reliab., 2021)

A Quantitative Measurement Method of Code Quality Evaluation Indicators based on Data Mining. - Yikang Shao; Wu Liu; Jun Ai; Chunhui Yang (DSA, 2022)

A Software Defect Location Method based on Static Analysis Results. - Haoxiang Shi; Wu Liu; Jingyu Liu; Jun Ai; Chunhui Yang (DSA, 2022)

The Correlation between Training Set Perturbations and Robustness for CNN Models. - Zili Wu; Jun Ai; Minyan Lu; Jie Wang; Liang Yan (DSA, 2022)

Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors. - Yao Li; Yihai He; Jun Ai; Chengcheng Wang; Xiao Han 010; Ruoyu Liao; Xiuzhen Yang (Reliab. Eng. Syst. Saf., 2022)

Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems. - Xiuzhen Yang; Yihai He; Ruoyu Liao; Yuqi Cai; Jun Ai (Reliab. Eng. Syst. Saf., 2022)

Self-admitted technical debt detection by learning its comprehensive semantics via graph neural networks. - Hui Li 014; Yang Qu; Yong Liu; Rong Chen 003; Jun Ai; Shikai Guo (Softw. Pract. Exp., 2022)

ACGDP: An Augmented Code Graph-Based System for Software Defect Prediction. - Jiaxi Xu; Jun Ai; Jingyu Liu; Tao Shi (IEEE Trans. Reliab., 2022)

Improving Accuracy of Small Object Detection in Screen based on YOLOv7. - Jianfu Liang; Jun Ai (DSA, 2023)

An Evaluation Method for Large Language Models' Code Generation Capability. - Haoran Su; Jun Ai; Dan Yu; Hong Zhang (DSA, 2023)

Assessing ChatGPT's Comprehension of Perturbed Text through Text Linguistic Features. - Dan Yu; Jun Ai; Haorao Su; Hong Zhang (DSA, 2023)

An Intelligent Labeling and Dataset Generating Method for Desktop Application Element Object Detection. - Junda Zhu 003; Jun Ai; Tao Shi; Congran Zhang; Xinyue Wu (DSA, 2023)

An Empirical Study of Fault Triggers in Deep Learning Frameworks. - Xiaoting Du; Yulei Sui; Zhihao Liu; Jun Ai (IEEE Trans. Dependable Secur. Comput., 2023)

Predicting neural network confidence using high-level feature distance. - Jie Wang 130; Jun Ai; Minyan Lu; Jingyu Liu; Zili Wu (Inf. Softw. Technol., 2023)

Semantic feature learning for software defect prediction from source code and external knowledge. - Jingyu Liu; Jun Ai; Minyan Lu; Jie Wang; Haoxiang Shi (J. Syst. Softw., 2023)

Measuring similarity based on user activeness in recommender systems to improve algorithm scalability. - Jun Ai; Yifang Cai; Zhan Su; Dunlu Peng; Fengyu Zhao (Eng. Appl. Artif. Intell., 2023)

Automated Structural Test Case Generation for Human-Computer Interaction Software Based on Large Language Model. - Long Kang; Jun Ai; Minyan Lu (DSA, 2024)

A Vulnerability Propagation Impact Analysis Approach Based on Code Semantics with LLM. - Xun Long; Jun Ai; Jieyu Zhao; Yingxiang Huang (DSA, 2024)

Semantic-Weighted Word Error Rate Based on BERT for Evaluating Automatic Speech Recognition Models. - Yutao Zhang; Jun Ai (DSA, 2024)

Enhancing Neuron Coverage of DNN Models for Adversarial Testing. - Zimu Tang; Jun Ai; Jie Wang (ISSRE (Workshops), 2024)

A Survey of Neural Network Robustness Assessment in Image Recognition. - Jie Wang; Jun Ai; Minyan Lu; Haoran Su; Dan Yu; Yutao Zhang; Junda Zhu 003; Jingyu Liu (CoRR, 2024)

GRAND: GAN-based software runtime anomaly detection method using trace information. - Shiyi Kong; Jun Ai; Minyan Lu; Yiang Gong (Neural Networks, 2024)

An Empirical Study on the Effect of Training Data Perturbations on Neural Network Robustness. - Jie Wang 130; Zili Wu; Minyan Lu; Jun Ai (Sensors, 2024)

AI-Powered Software Reliability Engineering and its Application. - Jun Ai (ISSSR, 2025)

An explainable recommendation algorithm based on content summarization and linear attention. - Jun Ai; Haolin Li; Zhan Su; Fengyu Zhao (Neurocomputing, 2025)

Efficient robust model predictive control for uncertain norm-bounded Markov jump systems with persistent disturbances via matrix partition. - Yuchang Feng; Xue Li; Donglin Shi; Jun Ai (J. Frankl. Inst., 2025)

An empirical analysis of feature fusion task heads of ViT pre-trained models on OOD classification tasks. - Mingxing Zhang; Jun Ai; Tao Shi (J. Syst. Softw., 2025)

Multi-stage BiLinear self-attention network for multi-sensor industrial time series classification. - HaoLang Huang; Xiongwen Pang; ChunYa Zou; Xiangru Li 001; Jun Ai (Clust. Comput., 2025)