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ORCIDJunhua Ding
Jun-Hua Ding
Person information
- affiliation: University of North Texas, Department of Information Science, Denton, TX, USA
- affiliation: East Carolina University, Department of Computer Science, Greenville, NC, USA
- affiliation (PhD): Florida International University, School of Computer Science, University Park, FL, USA
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Journal Articles
- 2025
[j26]Fengjiao Tu, Linjing Wu, Kinshuk, Junhua Ding, Haihua Chen
:
Exploring the influence of regulated learning processes on learners' prestige in project-based learning. Educ. Inf. Technol. 30(2): 2299-2329 (2025)- [j25]Zhongyi Wang, Na Wang, Haoxuan Zhang, Zeren Wang, Zhou Wang, Junhua Ding, Haihua Chen:
IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Inf. Process. Manag. 62(4): 104121 (2025) - [j24]Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding:
Enhancing data quality in medical concept normalization through large language models. J. Biomed. Informatics 165: 104812 (2025) - [j23]Xiangyue Xiao, Junhua Ding, Mingyan Yu, Zhicai Dong, Sara Cruz, Nai Ding, Charlène Aubinet, Steven Laureys, Haibo Di, Yan Chen:
Corrigendum to "Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography" [NeuroImage Volume 297 (2024) 120753]. NeuroImage 308: 120960 (2025) - 2024
- [j22]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): 536-552 (2024) - [j21]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): 102119 (2024) - [j20]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: 120753 (2024) - 2022
- [j19]Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding:
Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access 10: 121900-121923 (2022) - [j18]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: 124663-124672 (2022) - [j17]Ratnam Cheran, Junhua Ding:
Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. Int. J. Perform. Eng. 18(7): 475 (2022) - [j16]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): 102798 (2022) - [j15]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): 657-673 (2022) - 2021
- [j14]Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea, Junhua Ding:
Using latent features for building an interpretable recommendation system. Electron. Libr. 39(2): 281-295 (2021) - [j13]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): 741 (2021) - [j12]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): 451-467 (2021) - [j11]Haihua Chen, Jiangping Chen, Junhua Ding:
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Trans. Reliab. 70(2): 831-847 (2021) - 2019
- [j10]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): 1829-1846 (2019) - [j9]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): 20:1-20:22 (2019) - 2017
- [j8]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: 234-244 (2017) - [j7]Junhua Ding, Xin-Hua Hu:
Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program. Softw. Qual. J. 25(3): 841-869 (2017) - 2010
- [j6]Junhua Ding, Xudong He:
Formal Specification and Analysis of an Agent-Based Medical Image Processing System. Int. J. Softw. Eng. Knowl. Eng. 20(3): 311-345 (2010) - 2009
- [j5]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): 1520-1533 (2009) - 2006
- [j4]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): 585-614 (2006) - [j3]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): 401-412 (2006) - 2004
- [j2]Xudong He, Huiqun Yu, Tianjun Shi, Junhua Ding, Yi Deng:
Formally analyzing software architectural specifications using SAM . J. Syst. Softw. 71(1-2): 11-29 (2004) - 2003
- [j1]Dianxiang Xu, Jianwen Yin, Yi Deng, Junhua Ding:
A Formal Architectural Model for Logical Agent Mobility. IEEE Trans. Software Eng. 29(1): 31-45 (2003)
Conference and Workshop Papers
- 2024
- [c69]Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen:
A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. AITest 2024: 120-131 - [c68]Junhua Ding, Huyen Nguyen, Haihua Chen:
Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper. AITest 2024: 142-149 - [c67]Hong Zhu, Junhua Ding:
Message From the General Chairs; IEEE AITest 2024. AITest 2024: x - [c66]Hong Zhu, Xiaoli Li, Junhua Ding, Emese Bari, Yang Liu:
Plenary Panel at IEEE CISOSE 2024; GenAI, Where are You Going? AITest 2024: xxvi-xxvii - [c65]Monowar Bhuyan, Lingzi Hong, Fanjing Meng, Junhua Ding:
Plenary Panel at IEEE CISOSE 2024; Ethical, Societal, and Policy Implications of AI. AITest 2024: xxx - [c64]Ana Roeschley, Junhua Ding, Huan Xie, Yunfei Du:
Digital Libraries for Cultural Heritage Data Curation and Stewardship. JCDL 2024: 110:1-110:2 - [c63]Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng:
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) 2024: 99-111 - [c62]Colton Clemmer, Junhua Ding, Yunhe Feng:
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. WACV 2024: 8581-8590 - 2023
- [c61]Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding:
Measurement and Identification of Informative Reviews for Automated Summarization. AITest 2023: 146-151 - [c60]Kate Kargozari, Junhua Ding, Haihua Chen:
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest 2023: 160-168 - [c59]Huyen Nguyen, Junhua Ding:
Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. ICAIL 2023: 437-441 - [c58]Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen:
Quality Evaluation of Summarization Models for Patent Documents. QRS 2023: 250-259 - [c57]Wenqian Zhao, Meghana Patibandla, Junhua Ding:
An Approach for Ensuring the Privacy in Smart Contracts. QRS Companion 2023: 320-329 - [c56]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: 356-363 - 2022
- [c55]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: 54-63 - 2021
- [c54]Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland:
UNTIIA Lab at TREC 2021 - Clinical Trial. TREC 2021 - 2020
- [c53]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: 2153-2159 - [c52]Junhua Ding, Jiangping Chen, Alexis Palmer, Daniella LaShaun Smith:
An Experience Report for Running an REU Program in an iSchool. iConference 2020: 511-524 - [c51]Haihua Chen, Jiangping Chen, Junhua Ding:
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. QRS 2020: 13 - 2019
- [c50]Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding:
A Practical Framework for Evaluating the Quality of Knowledge Graph. CCKS 2019: 111-122 - [c49]Junhua Ding, XinChuan Li, Xin-Hua Hu:
Testing Scientific Software with Invariant Relations: A Case Study. QRS 2019: 406-417 - 2018
- [c48]Junhua Ding, XinChuan Li:
An Approach for Validating Quality of Datasets for Machine Learning. IEEE BigData 2018: 2795-2803 - 2017
- [c47]Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada:
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC 2017: 140-147 - [c46]Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu:
Building an SVM Classifier for Automated Selection of Big Data. BigData Congress 2017: 15-22 - [c45]Junhua Ding, XinChuan Li, Venkat N. Gudivada:
Augmentation and evaluation of training data for deep learning. IEEE BigData 2017: 2603-2611 - [c44]Hong Zhu, Junhua Ding, Patrícia D. L. Machado, Marc Roper:
AST 2017 Workshop Summary. AST@ICSE 2017: 1 - [c43]Junhua Ding, Xiaojun Kang, Xin-Hua Hu:
Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE 2017: 28-34 - [c42]Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding:
Combinatorial Methods of Feature Selection for Cell Image Classification. QRS Companion 2017: 55-60 - [c41]Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding:
An approach for detecting groundwater runoff connectivity using cluster analysis. SMC 2017: 2402-2407 - 2016
- [c40]Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
A Framework for Ensuring the Quality of a Big Data Service. SCC 2016: 82-89 - [c39]Junhua Ding, Dongmei Zhang:
An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. COMPSAC 2016: 263-268 - [c38]John Dixon, Junhua Ding:
An empirical study of parallel solutions for GLCM calculation of diffraction images. EMBC 2016: 3969-3972 - [c37]Junhua Ding:
An approach for modeling and analyzing dynamic software architectures. ICNC-FSKD 2016: 2086-2092 - [c36]Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
An application of metamorphic testing for testing scientific software. MET@ICSE 2016: 37-43 - [c35]Junhua Ding, Dongmei Zhang:
A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. SEKE 2016: 390-395 - 2015
- [c34]Yu Du, Hao Hu, Wei Song, Junhua Ding, Jian Lu:
Efficient Computing Composite Service Skyline with QoS Correlations. SCC 2015: 41-48 - [c33]Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
Feature Selection and Analysis of Diffraction Images. QRS Companion 2015: 80-88 - [c32]Junhua Ding, Dongmei Zhang:
Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. SEKE 2015: 589-594 - 2014
- [c31]Junhua Ding, Wei Song, Dongmei Zhang:
An Approach for Modeling and Analyzing Mobile Push Notification Services. IEEE SCC 2014: 725-732 - [c30]Junhua Ding:
Self-guided learning environment for undergraduate software engineering. CSEE&T 2014: 188-189 - [c29]Rober Grimes, Junhua Ding:
Development of a novel cryptography tool for personal communication. ICNSC 2014: 411-416 - [c28]Junhua Ding, Yuxiang Shao, Dongmei Zhang:
Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer. SEKE 2014: 626-631 - 2013
- [c27]Wei Song, Wenjia Zhang, Gongxuan Zhang, Junhua Ding, Xuewei Zhang:
Quantifying Consistency between Conceptual and Executable Business Processes. IEEE SCC 2013: 9-16 - [c26]Junhua Ding, Dongmei Zhang:
An approach for modeling and analyzing the communication protocols in a telemedicine system. BMEI 2013: 699-704 - [c25]W. Eric Wong, Junhua Ding, Gene Fiorini, Christian K. Hansen:
Undergraduates and research: Motivations, challenges, and the path forward. CSEE&T 2013: 341-345 - [c24]Junhua Ding:
A framework for global collaboration in teaching software engineering. CTGDSD@ICSE 2013: 30-34 - [c23]Junhua Ding, Dianxiang Xu, Jidong Ge:
An Approach for Analyzing Software Specifications in Petri Nets. SEKE 2013: 411-416 - 2012
- [c22]Junhua Ding, Jidong Ge:
An Approach for Modeling and Analyzing Code Mobility. APSCC 2012: 109-116 - [c21]Junhua Ding, Biwu Yang:
Teaching software engineering with global understanding. CTGDSD@ICSE 2012: 11-15 - [c20]Junhua Ding, Dianxiang Xu:
Model-Based Metamorphic Testing: A Case Study. SEKE 2012: 363-368 - [c19]Junhua Ding, Lian Mo:
Enforcement of Role Based Access Control in Social Network Environments. SERE (Companion) 2012: 92-101 - 2011
- [c18]Mohammad H. N. Tabrizi, Sergiy Vilkomir, Junhua Ding:
Development of North Carolina's first Software Engineering program: An experience report. CSEE&T 2011: 266-273 - [c17]Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu:
Metamorphic testing of a Monte Carlo modeling program. AST 2011: 1-7 - 2010
- [c16]Dianxiang Xu, Junhua Ding:
Prioritizing State-Based Aspect Tests. ICST 2010: 265-274 - [c15]Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi:
Designing Aspects with Use Cases: A Case Study. SEKE 2010: 797-803 - [c14]Junhua Ding, Tong Wu, Jun Q. Lu, Xin-Hua Hu:
Self-Checked Metamorphic Testing of an Image Processing Program. SSIRI 2010: 190-197 - 2009
- [c13]Yujian Fu, Zhijiang Dong, Junhua Ding, Xudong He, Venkata Atluri, Sha Li:
Modular Analysis of Software Architecture Model. Software Engineering Research and Practice 2009: 17-23 - [c12]Yujian Fu, Junhua Ding, Phil Bording:
An Approach for Modeling and Analyzing Crosscutting Concerns. SOLI 2009: 91-97 - 2008
- [c11]M. L. D. Ponce, Junhua Ding, Mohammad H. N. Tabrizi:
Identifying Factors that Improve the Predictive Quality of BMI for Health Status. BIOCOMP 2008: 374-378 - [c10]Junhua Ding, Mohammad H. N. Tabrizi:
Modeling and Model Checking of a Clinical Diagnostic Algorithm. ICNSC 2008: 78-83 - [c9]Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He:
Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. AST 2008: 71-78 - [c8]Yujian Fu, Zhijiang Dong, Junhua Ding, Xudong He:
Mapping Software Architecture Specification to Rewriting Logic (Short Paper). QSIC 2008: 376-381 - [c7]Junhua Ding, Lian Mo, Xudong He:
An approach for specification construction using property-preserving refinement patterns. SAC 2008: 797-803 - 2005
- [c6]Peter J. Clarke, Junhua Ding, Brian A. Malloy:
A Tool to Map Testing Techniques to Classes. ITCC (2) 2005: 821-822 - [c5]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: 560-565 - [c4]Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He:
Formally modeling and analyzing a secure mobile agent finder. SMC 2005: 47-52 - 2004
- [c3]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: 115-121 - 2002
- [c2]Xudong He, Junhua Ding, Yi Deng:
Model checking software architecture specifications in SAM. SEKE 2002: 271-278 - 1998
- [c1]Hwan Dong, Jun-Hua Ding, Xin Li, Jian Lu:
On Open Communication Frameworks for Software Agents. TOOLS (27) 1998: 188-195
Editorship
- 2023
- [e1]B. Vinoth Kumar, P. Sivakumar, B. Surendiran, Junhua Ding:
Smart Computer Vision. EAI/Springer Innovations in Communication and Computing (EAISICC), Springer 2023, ISBN 978-3-031-20540-8 [contents]
Informal and Other Publications
- 2025
- [i5]Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng:
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. CoRR abs/2503.04990 (2025) - 2024
- [i4]Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen:
A Survey on Data Quality Dimensions and Tools for Machine Learning. CoRR abs/2406.19614 (2024) - [i3]Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding:
A Comparative Study of Quality Evaluation Methods for Text Summarization. CoRR abs/2407.00747 (2024) - [i2]Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang:
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. CoRR abs/2412.02129 (2024) - 2021
- [i1]Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding:
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. CoRR abs/2105.10041 (2021)
Coauthor Index
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