On Open Communication Frameworks for Software Agents. - Hwan Dong; Jun-Hua Ding; Xin Li; Jian Lu 001 (TOOLS (27), 1998)

Model checking software architecture specifications in SAM. - Xudong He; Junhua Ding; Yi Deng 001 (SEKE, 2002)

A Formal Architectural Model for Logical Agent Mobility. - Dianxiang Xu; Jianwen Yin; Yi Deng 001; Junhua Ding (IEEE Trans. Software Eng., 2003)

Modeling and analyzing security protocols in SAM: A case study. - Zhengfan Dai; Xudong He; Junhua Ding; Shu Gao (IASTED Conf. on Software Engineering and Applications, 2004)

Formally analyzing software architectural specifications using SAM . - Xudong He; Huiqun Yu; Tianjun Shi; Junhua Ding; Yi Deng 001 (J. Syst. Softw., 2004)

A Tool to Map Testing Techniques to Classes. - Peter J. Clarke; Junhua Ding; Brian A. Malloy (ITCC (2), 2005)

Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models. - Junhua Ding; Dianxiang Xu; Yi Deng 001; Peter J. Clarke; Xudong He (SEKE, 2005)

Formally modeling and analyzing a secure mobile agent finder. - Junhua Ding; Zhengfan Dai; Jiacun Wang; Xudong He (SMC, 2005)

A Tool to Automatically Map Implementation-based Testing Techniques to Classes. - Peter J. Clarke; Junhua Ding; Djuradj Babich; Brian A. Malloy (Int. J. Softw. Eng. Knowl. Eng., 2006)

A formal model-based approach for developing an interoperable mobile agent system. - Junhua Ding; Peter J. Clarke; Dianxiang Xu; Xudong He; Yi Deng 001 (Multiagent Grid Syst., 2006)

Identifying Factors that Improve the Predictive Quality of BMI for Health Status. - M. L. D. Ponce; Junhua Ding; Mohammad H. N. Tabrizi (BIOCOMP, 2008)

Modeling and Model Checking of a Clinical Diagnostic Algorithm. - Junhua Ding; Mohammad H. N. Tabrizi (ICNSC, 2008)

Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. - Junhua Ding; Gonzalo Argote-Garcia; Peter J. Clarke; Xudong He (AST, 2008)

Mapping Software Architecture Specification to Rewriting Logic (Short Paper). - Yujian Fu; Zhijiang Dong; Junhua Ding; Xudong He (QSIC, 2008)

An approach for specification construction using property-preserving refinement patterns. - Junhua Ding; Lian Mo; Xudong He (SAC, 2008)

Modular Analysis of Software Architecture Model. - Yujian Fu; Zhijiang Dong; Junhua Ding; Xudong He; Venkata Atluri; Sha Li (Software Engineering Research and Practice, 2009)

An Approach for Modeling and Analyzing Crosscutting Concerns. - Yujian Fu; Junhua Ding; Phil Bording (SOLI, 2009)

A methodology for evaluating test coverage criteria of high levelPetri nets. - Junhua Ding; Peter J. Clarke; Gonzalo Argote-Garcia; Xudong He (Inf. Softw. Technol., 2009)

Prioritizing State-Based Aspect Tests. - Dianxiang Xu; Junhua Ding (ICST, 2010)

Designing Aspects with Use Cases: A Case Study. - Junhua Ding; Christopher R. Westbrook; Mohammad H. N. Tabrizi (SEKE, 2010)

Self-Checked Metamorphic Testing of an Image Processing Program. - Junhua Ding; Tong Wu; Jun Q. Lu; Xin-Hua Hu (SSIRI, 2010)

Formal Specification and Analysis of an Agent-Based Medical Image Processing System. - Junhua Ding; Xudong He (Int. J. Softw. Eng. Knowl. Eng., 2010)

Development of North Carolina's first Software Engineering program: An experience report. - Mohammad H. N. Tabrizi; Sergiy Vilkomir; Junhua Ding (CSEE&T, 2011)

Metamorphic testing of a Monte Carlo modeling program. - Junhua Ding; Tong Wu; Dianxiang Xu; Jun Q. Lu; Xin-Hua Hu (AST, 2011)

An Approach for Modeling and Analyzing Code Mobility. - Junhua Ding; Jidong Ge (APSCC, 2012)

Teaching software engineering with global understanding. - Junhua Ding; Biwu Yang (CTGDSD@ICSE, 2012)

Model-Based Metamorphic Testing: A Case Study. - Junhua Ding; Dianxiang Xu (SEKE, 2012)

Enforcement of Role Based Access Control in Social Network Environments. - Junhua Ding; Lian Mo (SERE (Companion), 2012)

Quantifying Consistency between Conceptual and Executable Business Processes. - Wei Song 003; Wenjia Zhang; Gongxuan Zhang; Junhua Ding; Xuewei Zhang (IEEE SCC, 2013)

An approach for modeling and analyzing the communication protocols in a telemedicine system. - Junhua Ding; Dongmei Zhang 006 (BMEI, 2013)

Undergraduates and research: Motivations, challenges, and the path forward. - W. Eric Wong; Junhua Ding; Gene Fiorini; Christian K. Hansen (CSEE&T, 2013)

A framework for global collaboration in teaching software engineering. - Junhua Ding (CTGDSD@ICSE, 2013)

An Approach for Analyzing Software Specifications in Petri Nets. - Junhua Ding; Dianxiang Xu; Jidong Ge (SEKE, 2013)

An Approach for Modeling and Analyzing Mobile Push Notification Services. - Junhua Ding; Wei Song 003; Dongmei Zhang 006 (IEEE SCC, 2014)

Self-guided learning environment for undergraduate software engineering. - Junhua Ding (CSEE&T, 2014)

Development of a novel cryptography tool for personal communication. - Rober Grimes; Junhua Ding (ICNSC, 2014)

Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer. - Junhua Ding; Yuxiang Shao; Dongmei Zhang 006 (SEKE, 2014)

Efficient Computing Composite Service Skyline with QoS Correlations. - Yu Du; Hao Hu 001; Wei Song 003; Junhua Ding; Jian Lu 001 (SCC, 2015)

Feature Selection and Analysis of Diffraction Images. - Sai Kiran Thati; Junhua Ding; Dongmei Zhang 006; Xin-Hua Hu (QRS Companion, 2015)

Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. - Junhua Ding; Dongmei Zhang 006 (SEKE, 2015)

A Framework for Ensuring the Quality of a Big Data Service. - Junhua Ding; Dongmei Zhang 006; Xin-Hua Hu (SCC, 2016)

An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. - Junhua Ding; Dongmei Zhang 006 (COMPSAC, 2016)

An empirical study of parallel solutions for GLCM calculation of diffraction images. - John Dixon; Junhua Ding (EMBC, 2016)

An approach for modeling and analyzing dynamic software architectures. - Junhua Ding (ICNC-FSKD, 2016)

An application of metamorphic testing for testing scientific software. - Junhua Ding; Dongmei Zhang 006; Xin-Hua Hu (MET@ICSE, 2016)

A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. - Junhua Ding; Dongmei Zhang 006 (SEKE, 2016)

Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. - Junhua Ding; Xiaojun Kang; Xin-Hua Hu; Venkat N. Gudivada (SCC, 2017)

Building an SVM Classifier for Automated Selection of Big Data. - Junhua Ding; Jiabin Wang; Xiaojun Kang; Xin-Hua Hu (BigData Congress, 2017)

Augmentation and evaluation of training data for deep learning. - Junhua Ding; XinChuan Li; Venkat N. Gudivada (IEEE BigData, 2017)

Validating a Deep Learning Framework by Metamorphic Testing. - Junhua Ding; Xiaojun Kang; Xin-Hua Hu (MET@ICSE, 2017)

AST 2017 Workshop Summary. - Hong Zhu 002; Junhua Ding; Patrícia D. L. Machado; Marc Roper (AST@ICSE, 2017)

Combinatorial Methods of Feature Selection for Cell Image Classification. - Sergiy Vilkomir; Jiabin Wang; Nam Le Thai; Junhua Ding (QRS Companion, 2017)

An approach for detecting groundwater runoff connectivity using cluster analysis. - Xiaojun Kang; Xuguang Zhao; Caixia Guo; Junhua Ding (SMC, 2017)

Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances. - He Wang; Yuanming Feng; Yu Sa; Jun Q. Lu; Junhua Ding; Jun Zhang; Xin-Hua Hu (Pattern Recognit., 2017)

Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program. - Junhua Ding; Xin-Hua Hu (Softw. Qual. J., 2017)

An Approach for Validating Quality of Datasets for Machine Learning. - Junhua Ding; XinChuan Li (IEEE BigData, 2018)

A Practical Framework for Evaluating the Quality of Knowledge Graph. - Haihua Chen 002; Gaohui Cao; Jiangping Chen; Junhua Ding (CCKS, 2019)

Testing Scientific Software with Invariant Relations: A Case Study. - Junhua Ding; XinChuan Li; Xin-Hua Hu (QRS, 2019)

An approach for computing routes without complicated decision points in landmark-based pedestrian navigation. - Sha Zhou; Run Wang 002; Junhua Ding; Xiaofang Pan; Shunping Zhou; Fang Fang 008; Wenjie Zhen (Int. J. Geogr. Inf. Sci., 2019)

A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. - Junhua Ding; XinChuan Li; Xiaojun Kang; Venkat N. Gudivada (ACM J. Data Inf. Qual., 2019)

SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. - Mingwei Tang; Cui Su; Haihua Chen 002; Jingye Qu; Junhua Ding (IEEE BigData, 2020)

An Experience Report for Running an REU Program in an iSchool. - Junhua Ding; Jiangping Chen; Alexis Palmer; Daniella LaShaun Smith (iConference, 2020)

UNTIIA Lab at TREC 2021 - Clinical Trial. - Huyen Nguyen; Haihua Chen 002; Bhanu Prasad 002; Huanhuan Zhao; Junhua Ding; Jiangping Chen; Ana D. Cleveland (TREC, 2021)

Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. - Haihua Chen 002; Ngan Tran; Anand Sagar Thumati; Jay Bhuyan; Junhua Ding (CoRR, 2021)

Using latent features for building an interpretable recommendation system. - Ziming Zeng; Yu Shi; Lavinia Florentina Pieptea; Junhua Ding (Electron. Libr., 2021)

Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. - Ngan Tran; Haihua Chen 002; Jiang Janet; Jay Bhuyan; Junhua Ding (Int. J. Perform. Eng., 2021)

A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data. - Junhua Ding; Xin-Hua Hu; Venkat N. Gudivada (IEEE Trans. Big Data, 2021)

Data Evaluation and Enhancement for Quality Improvement of Machine Learning. - Haihua Chen 002; Jiangping Chen; Junhua Ding (IEEE Trans. Reliab., 2021)

A Quantitative Study of Impact of Incentive to Quality of Software Reviews. - Mingwei Tang; Zhiwei Xu; Yuhao Qin; Cui Su; Yi Zhu; Feifei Tao; Junhua Ding (DSA, 2022)

Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. - Ngan Tran; Haihua Chen 002; Jay Bhuyan; Junhua Ding (IEEE Access, 2022)

A Quantitative Study of Software Reviews Using Content Analysis Methods. - Hongyu Zhang; Andrew Yang; Allen Peng; Lavinia Florentina Pieptea; Jian Yang; Junhua Ding (IEEE Access, 2022)

Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. - Ratnam Cheran; Junhua Ding (Int. J. Perform. Eng., 2022)

A comparative study of automated legal text classification using random forests and deep learning. - Haihua Chen 002; Lei Wu; Jiangping Chen; Wei Lu 019; Junhua Ding (Inf. Process. Manag., 2022)

Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. - Haihua Chen 002; Lavinia Florentina Pieptea; Junhua Ding (IEEE Trans. Reliab., 2022)

Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. - Kate Kargozari; Junhua Ding; Haihua Chen 002 (AITest, 2023)

Measurement and Identification of Informative Reviews for Automated Summarization. - Huyen Nguyen; Haihua Chen 002; Roopesh Maganti; K. S. M. Tozammel Hossain; Junhua Ding (AITest, 2023)

Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. - Huyen Nguyen; Junhua Ding (ICAIL, 2023)

Bias Analysis in Language Models using An Association Test and Prompt Engineering. - Ravi Varma Kumar Bevara; Ting Xiao; Farahnaz Hosseini; Junhua Ding (QRS Companion, 2023)

Quality Evaluation of Summarization Models for Patent Documents. - Junhua Ding; Haihua Chen 002; Sai Kolapudi; Lavanya Pobbathi; Huyen Nguyen (QRS, 2023)

An Approach for Ensuring the Privacy in Smart Contracts. - Wenqian Zhao; Meghana Patibandla; Junhua Ding (QRS Companion, 2023)

Plenary Panel at IEEE CISOSE 2024; Ethical, Societal, and Policy Implications of AI. - Monowar Bhuyan; Lingzi Hong; Fanjing Meng; Junhua Ding (AITest, 2024)

Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper. - Junhua Ding; Huyen Nguyen; Haihua Chen 002 (AITest, 2024)

A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. - Yuhan Zhou; Fengjiao Tu; Kewei Sha; Junhua Ding; Haihua Chen 002 (AITest, 2024)

Message From the General Chairs; IEEE AITest 2024. - Hong Zhu 002; Junhua Ding (AITest, 2024)

Plenary Panel at IEEE CISOSE 2024; GenAI, Where are You Going? - Hong Zhu 002; Xiaoli Li; Junhua Ding; Emese Bari; Yang Liu (AITest, 2024)

Digital Libraries for Cultural Heritage Data Curation and Stewardship. - Ana Roeschley; Junhua Ding; Huan Xie; Yunfei Du (JCDL, 2024)

GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. - Abdul Arbaz; Heng Fan 001; Junhua Ding; Meikang Qiu; Yunhe Feng (KSEM (1), 2024)

PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. - Colton Clemmer; Junhua Ding; Yunhe Feng (WACV, 2024)

A Survey on Data Quality Dimensions and Tools for Machine Learning. - Yuhan Zhou; Fengjiao Tu; Kewei Sha; Junhua Ding; Haihua Chen 002 (CoRR, 2024)

A Comparative Study of Quality Evaluation Methods for Text Summarization. - Huyen Nguyen; Haihua Chen 002; Lavanya Pobbathi; Junhua Ding (CoRR, 2024)

GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. - Yifan Jiao; Yunhao Li; Junhua Ding; Qing Yang 003; Song Fu; Heng Fan 001; Libo Zhang 001 (CoRR, 2024)

Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. - Zhongyi Wang 002; Xueyao Qiao; Jing Chen 014; Lina Li; Haoxuan Zhang; Junhua Ding; Haihua Chen 002 (Electron. Libr., 2024)

Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. - Zhongyi Wang 002; Haoxuan Zhang; Haihua Chen 002; Yunhe Feng; Junhua Ding (J. King Saud Univ. Comput. Inf. Sci., 2024)

Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography. - Xiangyue Xiao; Junhua Ding; Mingyan Yu; Zhicai Dong; Sara Cruz; Nai Ding; Charlène Aubinet; Steven Laureys; Haibo Di; Yan Chen (NeuroImage, 2024)

Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework. - Komala Subramanyam Cherukuri; Kewei Sha; Junhua Ding (ICCCN, 2025)

IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. - Zhongyi Wang 002; Na Wang; Haoxuan Zhang; Zeren Wang; Zhou Wang; Junhua Ding; Haihua Chen 002 (Inf. Process. Manag., 2025)

Enhancing data quality in medical concept normalization through large language models. - Haihua Chen 002; Ruochi Li; Ana D. Cleveland; Junhua Ding (J. Biomed. Informatics, 2025)

Corrigendum to "Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography" [NeuroImage Volume 297 (2024) 120753]. - Xiangyue Xiao; Junhua Ding; Mingyan Yu; Zhicai Dong; Sara Cruz; Nai Ding; Charlène Aubinet; Steven Laureys; Haibo Di; Yan Chen (NeuroImage, 2025)

Exploring the influence of regulated learning processes on learners' prestige in project-based learning. - Fengjiao Tu; Linjing Wu; Kinshuk; Junhua Ding; Haihua Chen 002 (Educ. Inf. Technol., 2025)

DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. - Mingchen Li; Heng Fan 001; Song Fu; Junhua Ding; Yunhe Feng (CoRR, 2025)

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist. - Haoxuan Zhang; Ruochi Li; Yang Zhang 095; Ting Xiao; Jiangping Chen; Junhua Ding; Haihua Chen 002 (CoRR, 2025)