Junhua Ding

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 48

Top Topics

Intrusion Detection

Quality Evaluation

Machine Learning

Top Venues

Publications

Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding, Haihua Chen
Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. Electron. Libr. 42 (4) (2024)
Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen
A Survey on Data Quality Dimensions and Tools for Machine Learning. CoRR (2024)
Colton Clemmer, Junhua Ding, Yunhe Feng
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. WACV (2024)
Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding
Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. J. King Saud Univ. Comput. Inf. Sci. 36 (6) (2024)
Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding
A Comparative Study of Quality Evaluation Methods for Text Summarization. CoRR (2024)
Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) (2024)
Xiangyue Xiao, Junhua Ding, Mingyan Yu, Zhicai Dong, Sara Cruz, Nai Ding, Charlène Aubinet, Steven Laureys, Haibo Di, Yan Chen
Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography. NeuroImage 297 (2024)
Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding
Measurement and Identification of Informative Reviews for Automated Summarization. AITest (2023)
Wenqian Zhao, Meghana Patibandla, Junhua Ding
An Approach for Ensuring the Privacy in Smart Contracts. QRS Companion (2023)
Ravi Varma Kumar Bevara, Ting Xiao, Farahnaz Hosseini, Junhua Ding
Bias Analysis in Language Models using An Association Test and Prompt Engineering. QRS Companion (2023)
Kate Kargozari, Junhua Ding, Haihua Chen
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest (2023)
Huyen Nguyen, Junhua Ding
Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. ICAIL (2023)
Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen
Quality Evaluation of Summarization Models for Patent Documents. QRS (2023)
Hongyu Zhang, Andrew Yang, Allen Peng, Lavinia Florentina Pieptea, Jian Yang, Junhua Ding
A Quantitative Study of Software Reviews Using Content Analysis Methods. IEEE Access 10 (2022)
Ratnam Cheran, Junhua Ding
Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. Int. J. Perform. Eng. 18 (7) (2022)
Mingwei Tang, Zhiwei Xu, Yuhao Qin, Cui Su, Yi Zhu, Feifei Tao, Junhua Ding
A Quantitative Study of Impact of Incentive to Quality of Software Reviews. DSA (2022)
Haihua Chen, Lei Wu, Jiangping Chen, Wei Lu, Junhua Ding
A comparative study of automated legal text classification using random forests and deep learning. Inf. Process. Manag. 59 (2) (2022)
Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding
Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access 10 (2022)
Haihua Chen, Lavinia Florentina Pieptea, Junhua Ding
Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Trans. Reliab. 71 (2) (2022)
Ngan Tran, Haihua Chen, Jiang Janet, Jay Bhuyan, Junhua Ding
Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. Int. J. Perform. Eng. 17 (9) (2021)
Haihua Chen, Jiangping Chen, Junhua Ding
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Trans. Reliab. 70 (2) (2021)
Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. CoRR (2021)
Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland
UNTIIA Lab at TREC 2021 - Clinical Trial. TREC (2021)
Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data. IEEE Trans. Big Data 7 (2) (2021)
Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea, Junhua Ding
Using latent features for building an interpretable recommendation system. Electron. Libr. 39 (2) (2021)
Junhua Ding, Jiangping Chen, Alexis Palmer, Daniella LaShaun Smith
An Experience Report for Running an REU Program in an iSchool. iConference (2020)
Haihua Chen, Jiangping Chen, Junhua Ding
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. QRS (2020)
Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding
SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. IEEE BigData (2020)
Junhua Ding, XinChuan Li, Xin-Hua Hu
Testing Scientific Software with Invariant Relations: A Case Study. QRS (2019)
Sha Zhou, Run Wang, Junhua Ding, Xiaofang Pan, Shunping Zhou, Fang Fang, Wenjie Zhen
An approach for computing routes without complicated decision points in landmark-based pedestrian navigation. Int. J. Geogr. Inf. Sci. 33 (9) (2019)
Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding
A Practical Framework for Evaluating the Quality of Knowledge Graph. CCKS (2019)
Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. ACM J. Data Inf. Qual. 11 (4) (2019)
Junhua Ding, XinChuan Li
An Approach for Validating Quality of Datasets for Machine Learning. IEEE BigData (2018)
Junhua Ding, Xin-Hua Hu
Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program. Softw. Qual. J. 25 (3) (2017)
Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding
Combinatorial Methods of Feature Selection for Cell Image Classification. QRS Companion (2017)
Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding
An approach for detecting groundwater runoff connectivity using cluster analysis. SMC (2017)
Hong Zhu, Junhua Ding, Patrícia D. L. Machado, Marc Roper
AST 2017 Workshop Summary. AST@ICSE (2017)
Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC (2017)
Junhua Ding, Xiaojun Kang, Xin-Hua Hu
Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE (2017)
Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu
Building an SVM Classifier for Automated Selection of Big Data. BigData Congress (2017)
Junhua Ding, XinChuan Li, Venkat N. Gudivada
Augmentation and evaluation of training data for deep learning. IEEE BigData (2017)
He Wang, Yuanming Feng, Yu Sa, Jun Q. Lu, Junhua Ding, Jun Zhang, Xin-Hua Hu
Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances. Pattern Recognit. 61 (2017)
Junhua Ding, Dongmei Zhang, Xin-Hua Hu
An application of metamorphic testing for testing scientific software. MET@ICSE (2016)
Junhua Ding, Dongmei Zhang, Xin-Hua Hu
A Framework for Ensuring the Quality of a Big Data Service. SCC (2016)
Junhua Ding, Dongmei Zhang
An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. COMPSAC (2016)
Junhua Ding, Dongmei Zhang
A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. SEKE (2016)
Junhua Ding
An approach for modeling and analyzing dynamic software architectures. ICNC-FSKD (2016)
John Dixon, Junhua Ding
An empirical study of parallel solutions for GLCM calculation of diffraction images. EMBC (2016)
Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu
Feature Selection and Analysis of Diffraction Images. QRS Companion (2015)
Yu Du, Hao Hu, Wei Song, Junhua Ding, Jian Lu
Efficient Computing Composite Service Skyline with QoS Correlations. SCC (2015)
Junhua Ding, Dongmei Zhang
Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. SEKE (2015)
Junhua Ding, Wei Song, Dongmei Zhang
An Approach for Modeling and Analyzing Mobile Push Notification Services. IEEE SCC (2014)
Junhua Ding
Self-guided learning environment for undergraduate software engineering. CSEE&T (2014)
Junhua Ding, Yuxiang Shao, Dongmei Zhang
Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer. SEKE (2014)
Rober Grimes, Junhua Ding
Development of a novel cryptography tool for personal communication. ICNSC (2014)
W. Eric Wong, Junhua Ding, Gene Fiorini, Christian Hansen
Undergraduates and research: Motivations, challenges, and the path forward. CSEE&T (2013)
Junhua Ding, Dianxiang Xu, Jidong Ge
An Approach for Analyzing Software Specifications in Petri Nets. SEKE (2013)
Junhua Ding
A framework for global collaboration in teaching software engineering. CTGDSD@ICSE (2013)
Wei Song, Wenjia Zhang, Gongxuan Zhang, Junhua Ding, Xuewei Zhang
Quantifying Consistency between Conceptual and Executable Business Processes. IEEE SCC (2013)
Junhua Ding, Dongmei Zhang
An approach for modeling and analyzing the communication protocols in a telemedicine system. BMEI (2013)
Junhua Ding, Jidong Ge
An Approach for Modeling and Analyzing Code Mobility. APSCC (2012)
Junhua Ding, Lian Mo
Enforcement of Role Based Access Control in Social Network Environments. SERE (Companion) (2012)
Junhua Ding, Dianxiang Xu
Model-Based Metamorphic Testing: A Case Study. SEKE (2012)
Junhua Ding, Biwu Yang
Teaching software engineering with global understanding. CTGDSD@ICSE (2012)
Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu
Metamorphic testing of a Monte Carlo modeling program. AST (2011)
Mohammad H. N. Tabrizi, Sergiy Vilkomir, Junhua Ding
Development of North Carolina's first Software Engineering program: An experience report. CSEE&T (2011)
Junhua Ding, Xudong He
Formal Specification and Analysis of an Agent-Based Medical Image Processing System. Int. J. Softw. Eng. Knowl. Eng. 20 (3) (2010)
Dianxiang Xu, Junhua Ding
Prioritizing State-Based Aspect Tests. ICST (2010)
Junhua Ding, Tong Wu, Jun Q. Lu, Xin-Hua Hu
Self-Checked Metamorphic Testing of an Image Processing Program. SSIRI (2010)
Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi
Designing Aspects with Use Cases: A Case Study. SEKE (2010)
Junhua Ding, Peter J. Clarke, Gonzalo Argote-Garcia, Xudong He
A methodology for evaluating test coverage criteria of high levelPetri nets. Inf. Softw. Technol. 51 (11) (2009)
Yujian Fu, Zhijiang Dong, Junhua Ding, Xudong He, Venkata Atluri, Sha Li
Modular Analysis of Software Architecture Model. Software Engineering Research and Practice (2009)
Yujian Fu, Junhua Ding, Phil Bording
An Approach for Modeling and Analyzing Crosscutting Concerns. SOLI (2009)
Yujian Fu, Zhijiang Dong, Junhua Ding, Xudong He
Mapping Software Architecture Specification to Rewriting Logic (Short Paper). QSIC (2008)
M. L. D. Ponce, Junhua Ding, Mohammad H. N. Tabrizi
Identifying Factors that Improve the Predictive Quality of BMI for Health Status. BIOCOMP (2008)
Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He
Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. AST (2008)
Junhua Ding, Lian Mo, Xudong He
An approach for specification construction using property-preserving refinement patterns. SAC (2008)
Junhua Ding, Mohammad H. N. Tabrizi
Modeling and Model Checking of a Clinical Diagnostic Algorithm. ICNSC (2008)
Peter J. Clarke, Junhua Ding, Djuradj Babich, Brian A. Malloy
A Tool to Automatically Map Implementation-based Testing Techniques to Classes. Int. J. Softw. Eng. Knowl. Eng. 16 (4) (2006)
Junhua Ding, Peter J. Clarke, Dianxiang Xu, Xudong He, Yi Deng
A formal model-based approach for developing an interoperable mobile agent system. Multiagent Grid Syst. 2 (4) (2006)
Junhua Ding, Dianxiang Xu, Yi Deng, Peter J. Clarke, Xudong He
Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models. SEKE (2005)
Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He
Formally modeling and analyzing a secure mobile agent finder. SMC (2005)
Peter J. Clarke, Junhua Ding, Brian A. Malloy
A Tool to Map Testing Techniques to Classes. ITCC (2) (2005)
Zhengfan Dai, Xudong He, Junhua Ding, Shu Gao
Modeling and analyzing security protocols in SAM: A case study. IASTED Conf. on Software Engineering and Applications (2004)
Xudong He, Huiqun Yu, Tianjun Shi, Junhua Ding, Yi Deng
Formally analyzing software architectural specifications using SAM . J. Syst. Softw. 71 (1-2) (2004)
Dianxiang Xu, Jianwen Yin, Yi Deng, Junhua Ding
A Formal Architectural Model for Logical Agent Mobility. IEEE Trans. Software Eng. 29 (1) (2003)
Xudong He, Junhua Ding, Yi Deng
Model checking software architecture specifications in SAM. SEKE (2002)