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2020 – today
- 2024
[j24]Shiyi Kong
, Jun Ai, Minyan Lu, Yiang Gong:
GRAND: GAN-based software runtime anomaly detection method using trace information. Neural Networks 169: 365-377 (2024)- [j23]Jie Wang, Zili Wu, Minyan Lu, Jun Ai:
An Empirical Study on the Effect of Training Data Perturbations on Neural Network Robustness. Sensors 24(15): 4874 (2024) - [c37]Zimu Tang, Jun Ai, Jie Wang:
Enhancing Neuron Coverage of DNN Models for Adversarial Testing. ISSRE (Workshops) 2024: 353-360 - [i2]Jie Wang, Jun Ai, Minyan Lu, Haoran Su, Dan Yu, Yutao Zhang, Junda Zhu, Jingyu Liu:
A Survey of Neural Network Robustness Assessment in Image Recognition. CoRR abs/2404.08285 (2024) - 2023
- [j22]Jun Ai, Yifang Cai, Zhan Su, Dunlu Peng, Fengyu Zhao:
Measuring similarity based on user activeness in recommender systems to improve algorithm scalability. Eng. Appl. Artif. Intell. 126: 106842 (2023) - [j21]Jie Wang, Jun Ai, Minyan Lu, Jingyu Liu, Zili Wu:
Predicting neural network confidence using high-level feature distance. Inf. Softw. Technol. 159: 107214 (2023) - [j20]Jingyu Liu, Jun Ai, Minyan Lu, Jie Wang, Haoxiang Shi:
Semantic feature learning for software defect prediction from source code and external knowledge. J. Syst. Softw. 204: 111753 (2023) - [j19]Xiaoting Du, Yulei Sui, Zhihao Liu, Jun Ai:
An Empirical Study of Fault Triggers in Deep Learning Frameworks. IEEE Trans. Dependable Secur. Comput. 20(4): 2696-2712 (2023) - [c36]Haoran Su, Jun Ai, Dan Yu, Hong Zhang:
An Evaluation Method for Large Language Models' Code Generation Capability. DSA 2023: 831-838 - [c35]Dan Yu, Jun Ai, Haorao Su, Hong Zhang:
Assessing ChatGPT's Comprehension of Perturbed Text through Text Linguistic Features. DSA 2023: 839-850 - [c34]Jianfu Liang, Jun Ai:
Improving Accuracy of Small Object Detection in Screen based on YOLOv7. DSA 2023: 851-859 - [c33]Junda Zhu, Jun Ai, Tao Shi, Congran Zhang, Xinyue Wu:
An Intelligent Labeling and Dataset Generating Method for Desktop Application Element Object Detection. DSA 2023: 860-869 - 2022
- [j18]Yao Li, Yihai He, Jun Ai, Chengcheng Wang, Xiao Han, Ruoyu Liao, Xiuzhen Yang:
Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors. Reliab. Eng. Syst. Saf. 219: 108211 (2022) - [j17]Xiuzhen Yang, Yihai He, Ruoyu Liao, Yuqi Cai, Jun Ai:
Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems. Reliab. Eng. Syst. Saf. 223: 108495 (2022) - [j16]Hui Li, Yang Qu, Yong Liu, Rong Chen, Jun Ai, Shikai Guo:
Self-admitted technical debt detection by learning its comprehensive semantics via graph neural networks. Softw. Pract. Exp. 52(10): 2152-2176 (2022) - [j15]Jiaxi Xu, Jun Ai, Jingyu Liu, Tao Shi:
ACGDP: An Augmented Code Graph-Based System for Software Defect Prediction. IEEE Trans. Reliab. 71(2): 850-864 (2022) - [c32]Zili Wu, Jun Ai, Minyan Lu, Jie Wang, Liang Yan:
The Correlation between Training Set Perturbations and Robustness for CNN Models. DSA 2022: 531-539 - [c31]Yikang Shao, Wu Liu, Jun Ai, Chunhui Yang:
A Quantitative Measurement Method of Code Quality Evaluation Indicators based on Data Mining. DSA 2022: 659-669 - [c30]Haoxiang Shi, Wu Liu, Jingyu Liu, Jun Ai, Chunhui Yang:
A Software Defect Location Method based on Static Analysis Results. DSA 2022: 876-886 - 2021
- [j14]Zhan Su, Zuyi Lin, Jun Ai, Hui Li:
Rating Prediction in Recommender Systems Based on User Behavior Probability and Complex Network Modeling. IEEE Access 9: 30739-30749 (2021) - [j13]Jiaxi Xu, Fei Wang, Jun Ai:
Defect Prediction With Semantics and Context Features of Codes Based on Graph Representation Learning. IEEE Trans. Reliab. 70(2): 613-625 (2021) - [c29]Yikang Shao, Jun Ai:
Code Comprehensibility Evaluation for Java Class based on LDA Topic Model. DSA 2021: 491-498 - [c28]Congran Zhang, Tao Shi, Jun Ai, Wei Tian:
Construction of GUI Elements Recognition Model for AI Testing based on Deep Learning. DSA 2021: 508-515 - [c27]Jiaxi Xu, Jun Ai, Tao Shi:
Software Defect Prediction for Specific Defect Types based on Augmented Code Graph Representation. DSA 2021: 669-678 - [c26]Shiyi Kong, Minyan Lu, Bo Sun, Jun Ai, Shuguang Wang:
Detection Software Content Failures using Dynamic Execution Information. QRS Companion 2021: 141-147 - [i1]Shiyi Kong, Minyan Lu, Jun Ai, Shuguang Wang:
Detection Software Content Failures Using Dynamic Execution Information. CoRR abs/2110.06629 (2021) - 2020
- [j12]Jun Ai, Haoran Guo, W. Eric Wong:
What Ruined Your Cake: Impacts of Code Modifications on Bug Distribution. IEEE Access 8: 84020-84036 (2020) - [j11]Jun Ai, Zhan Su, Kaili Wang, Chunxue Wu, Dunlu Peng:
Decentralized Collaborative Filtering Algorithms Based on Complex Network Modeling and Degree Centrality. IEEE Access 8: 151242-151249 (2020) - [j10]Lixiang Wang, Wei Dai, Jun Ai, Weiwei Duan, Yu Zhao:
Reliability Evaluation for Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net. IEEE Access 8: 167276-167287 (2020) - [j9]Shuguang Wang, Minyan Lu, Shiyi Kong, Jun Ai:
A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures. Entropy 22(11): 1225 (2020) - [j8]Dunlu Peng, Ming Zhou, Cong Liu, Jun Ai:
Human-machine dialogue modelling with the fusion of word- and sentence-level emotions. Knowl. Based Syst. 192: 105319 (2020) - [j7]Chunxue Wu, Shengnan Guo, Yan Wu, Jun Ai, Neal N. Xiong:
Networked Fault Detection of Field Equipment from Monitoring System Based on Fusing of Motion Sensing and Appearance Information. Multim. Tools Appl. 79(23-24): 16319-16348 (2020) - [c25]Yudi Liu, Minyan Lu, Di Peng, Jie Wang, Jun Ai:
Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation. DSA 2020: 162-167 - [c24]Jie Wang, Minyan Lu, Jun Ai, Xueyuan Sun:
The Quantitative Relationship between Adversarial Training and Robustness of CNN Model. DSA 2020: 543-549 - [c23]Zhuoliang Zou, Jun Ai:
Online Prediction of Server Crash Based on Running Data. QRS Companion 2020: 7-14
2010 – 2019
- 2019
- [b1]Jun Ai:
Implementation and Sustainability of Early Childhood Positive Behavior Support in Kansas: A Statewide Survey. University of Kansas, Lawrence, USA, 2019 - [j6]Jun Ai, Wenzhu Su, Shaoxiong Zhang, Yiwen Yang:
A Software Network Model for Software Structure and Faults Distribution Analysis. IEEE Trans. Reliab. 68(3): 844-858 (2019) - [c22]Jiaxi Xu, Liang Yan, Fei Wang, Jun Ai:
A GitHub-Based Data Collection Method for Software Defect Prediction. DSA 2019: 100-108 - [c21]Tao Shi, Liang Yan, Haoran Guo, Jun Ai:
Automatic Detection for Reused Open Source Codes Based on Similarity Identification of Software Networks. DSA 2019: 276-282 - [c20]Haoran Guo, Jun Ai, Tao Shi:
A Clone Code Detection Method Based on Software Complex Network. ISSRE Workshops 2019: 120-121 - [c19]Fei Wang, Jun Ai, Zhuoliang Zou:
A Cluster-Based Hybrid Feature Selection Method for Defect Prediction. QRS 2019: 1-9 - 2018
- [c18]Jun Ai, Wenzhu Su, Fei Wang:
Software Reliability Evaluation Method Based on a Software Network. ISSRE Workshops 2018: 136-137 - [c17]Yiwen Yang, Jun Ai, Fei Wang:
Defect Prediction Based on the Characteristics of Multilayer Structure of Software Network. QRS Companion 2018: 27-34 - [c16]Pan Liu, Zhenning Jimmy Xu, Jun Ai:
An Approach to Automatic Test Case Generation for Unit Testing. QRS Companion 2018: 545-552 - 2017
- [j5]Zhan Su, Jun Ai, Qingling Zhang, Naixue Xiong:
An improved robust finite-time dissipative control for uncertain fuzzy descriptor systems with disturbance. Int. J. Syst. Sci. 48(8): 1581-1596 (2017) - [j4]Pan Liu, Jun Ai, Zhenning Jimmy Xu:
Probability Model-Based Test Suite Reduction. ACM SIGSOFT Softw. Eng. Notes 42(3): 1-6 (2017) - [c15]Pan Liu, Jun Ai, Zhenning Jimmy Xu:
A study for extended regular expression-based testing. ICIS 2017: 821-826 - [c14]Jiaming Wang, Jun Ai, Yiwen Yang, Wenzhu Su:
Identifying key classes of object-oriented software based on software complex network. ICSRS 2017: 444-449 - [c13]Pan Liu, Zhenning Jimmy Xu, Jun Ai, Fei Wang:
Identifying Indicators of Fake Reviews Based on Spammer's Behavior Features. QRS Companion 2017: 396-403 - [c12]Fei Wang, Jun Ai, Jiaming Wang:
Empirical Study on the Correlation Between Software Structural Modifications and Its Fault-Proneness. QRS Companion 2017: 634-635 - 2016
- [c11]Yuwei Yang, Jun Ai, Xue-Lin Li, W. Eric Wong:
MHCP Model for Quality Evaluation for Software Structure Based on Software Complex Network. ISSRE 2016: 298-308 - [c10]Shaoxiong Zhang, Jun Ai, Xue-Lin Li:
Correlation between the Distribution of Software Bugs and Network Motifs. QRS 2016: 202-213 - [c9]Yihao Li, Dong Li, Fuqun Huang, Shou-Yu Lee, Jun Ai:
An Exploratory Analysis on Software Developers' Bug-Introducing Tendency over Time. SATE 2016: 12-17 - [c8]Jun Ai, Linzhi Huang, Fei Wang, Jiaming Wang:
Research on Relations between Software Network Structure and Fault Propagation. SATE 2016: 66-71 - 2015
- [j3]Zhan Su, Qingling Zhang, Jun Ai, Xin Sun:
Finite-time fuzzy stabilisation and control for nonlinear descriptor systems with non-zero initial state. Int. J. Syst. Sci. 46(2): 364-376 (2015) - [c7]Linzhi Huang, Jun Ai, Hanyu Pei:
Software Network Models Based on Dynamic Execution for Fault Propagation Research. QRS Companion 2015: 56-61 - 2014
- [c6]Jun Ai, Hanyu Pei, Liang Yan:
Software Reliability Virtual Testing for Reliability Assessment. SERE (Companion) 2014: 71-77 - 2013
- [j2]Zhan Su, Qingling Zhang, Jun Ai:
Practical and finite-time fuzzy adaptive control for nonlinear descriptor systems with uncertainties of unknown bound. Int. J. Syst. Sci. 44(12): 2223-2233 (2013) - [c5]Jun Ai, Feng Zheng, Jingwei Shang:
Shortening the Cycle of Software Reliability Testing with Fuzzy Discrimination. SERE 2013: 21-29 - [c4]Qiuying Li, Lei Luo, Jun Ai:
The Determination Method for Software Reliability Qualitative Indices. SERE 2013: 237-245 - 2012
- [c3]Feng Zheng, Jun Ai, Jingwei Shang, Jinhui Wang:
Accelerate the Software Software Reliability Testing Execution Process with Fuzzy Discrimination. ISSRE Workshops 2012: 140-145
2000 – 2009
- 2009
- [j1]Bo Li, Hai Zhao, Chunhe Song, Hui Li, Jun Ai:
Design and Implementation for Ladder Diagram in Hydropower Simulation System Based on All Paths Searching Algorithm. Int. J. Commun. Netw. Syst. Sci. 2(4): 318-324 (2009) - [c2]Siwen Yu, Jun Ai, Yifu Zhang:
Software Test Data Generation Based on Multi-agent. FGIT-ASEA 2009: 188-195 - [c1]Haohua Zhang, Hai Zhao, Wei Cai, Jun Ai:
The Method for Measuring Large-scale Object-Oriented Software System. FSKD (3) 2009: 603-606
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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