Junhua Ding

Previous Scheduled Teaching

Published Intellectual Contributions

Abstracts and Proceedings

• Yang, J., Ding, J., An, Y. (2021). A Text mining-based analysis of Facebook group discussions on gamification. Frisco, Proceedings of Innovate Learning Summit 2021.
• Chen, H., Chen, J., Ding, J. Data Evaluation and Enhancement for Quality Improvement of MachineLearning. Macau, IEEE International Conference on Quality, Reliability, and Security (QRS 2020).
• Tang, M., Su, C., Chen, H., Qu, J., Ding, J. SALKG:A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. Atlanta, GA, IEEE Conference on Big Data Workshop (BigData 2020).

Book Chapter

• Ding, J., Awojobi , B. Data Security and Privacy”. Cy-bersecurity for Information Professionals: Concepts and Applications.
• Gudivada, V., Rao, D., Ding, J. (2019). Evolution and Facets of Data Analytics for Educational Data Mining and Learning Analytics. Book: Responsible Analytics and Data Mining in Education.
• Rao, D., Ding, J., Gudivada, V. (2019). Supporting Data Analytics in Education: Human and Technical Resources Needed for Collecting, Storing, Analyzing, and Mining Data. Responsible Analytics and Data Mining in Education.

Conference Proceeding

• Nguyen, H., Chen, H., Maganti, R., Hossain, T., Ding, J. Identifying High-quality Informative Comments for Software Review Summarization. IEEE AITest.
• Zhao, W., Ding, J., Patibandla, M. (2023). An Approach for Ensuring Privacy in Smart Contracts. 2023 IEEE Conference on Software Quality, Reliability, and Security.
• Bevara, R.V., Xiao, T., Hosseini, F., Ding, J. (2023). Bias Analysis in Language Models using An Association Test and Prompt Engineering. 2023 IEEE Conference on Software Quality, Reliability, and Security.
• Ding, J., Chen, H., Kolapudi, S., Pobbathi, L., Nguyen, H. (2023). Quality Evaluation of Summarization Models for Patent Documents. The 23rd IEEE International Conference on Software Quality, Reliability, and Security,.
• Kargozari, K., Ding, J., Chen, H. (2023). Evaluating the impact of Incentive/Non-incentive Reviews on Cus- tomer Decision Making. 2023 IEEE Intl. Conference on Artificial Intelligence Testing.
• Nguyen, H., Chen, H., Maganti, R., Hossain, T., Ding, J. (2023). Measurement and Identification of Informative Reviews for Automated Summarization.
• Nguyen, H., Ding, J. (2023). Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents.
• Kim, J., Tang, R., Ding, J., Du, Y. (2023). Data literacy in supporting an inclusive information environment. iConference 2023.
• Tang, M., Ding, J. (2022). Quantitative Study of Impact of Incentive to Quality of Software Review. IEEE. IEEE Intl. Conf. on Dependable Systems and Their Applications (DSA)
• Qin, C., , Y.Y., Chen, H., Ding, J. (2021). A Comparison Study of Machine Learning and Deep Learning for Legal Contract Understanding. JURISIN 2021: 15 Intl. Workshop on Juris-informatics.
• Chen, H., Cao, G., Chen, J., Ding, J. (2019). A Practical Framework for Evaluating the Quality of Knowledge Graph. Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding. 12. Singapore, Springer.
• Ding, J., Li, X., Hu, X. (2019). Testing Scientific Software with Invariant Relations: A Case Study. 9. Sofia, IEEE.

Journal Article

• Nguyen, H., Chen, H., Chen, J., Ding, J., Kargozari, K. (2023). Construction and evaluation of a domain- specific knowledge graph for knowledge discover. Information Discovery and Delivery. 51 (4)
• Zhang, H., Pieptea, L., Ding, J. (2022). Quantitative Study of Software Reviews Using Content Analysis Methods. IEEE Access. 10 (1) 124663-124672. New York, IEEE.
• Tran, N., Chen, H., Bhuyen, J., Ding, J. (2022). Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access. 10 121900 - 121923. IEEE.
• Ratnam, C., Ding, J. (2022). Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. International Journal of Performability Engineering. 18 (7) 475-484. http://www.ijpe-online.com/EN/10.23940/ijpe.22.07.p2.475484
• Chen, H., Pieptea, L., Ding, J. (2022). Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Transactions on Reliability. 71 (2) 1-17. IEEE.
• Chen, H., Wu, L., Chen, J., Lu, W., Ding, J. (2021). A comparative study of automated legal text classification using random forests and deep learning. Information Processing & Management. 59 (2) Elsevier.
• Tran, N., Chen, H., Jiang, J., Bhuyan, J., Ding, J. (2021). Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. International Journal of Performability Engineering. 17 (9) Totem.
• Chen, H., Chen, J., Ding, J. (2021). Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Transactions on Reliability. 70 (2) IEEE.
• Pieptea, L., Ding, J. (2020). Using latent features for building an interpretable recommendation system.
• Ding, J., Li, X., Kang, X., Gudivada, V.N. (2019). A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. 11 (4) 24.
• Zhou, S., Wang, R., Ding, J., Pan, X., Zhou, S., Fang, F., Zheng, W. (2019). An Approach for Computing Routes without Complicated Decision Points in Landmark-based Pedestrian Navigation. (4) 16.

Contracts, Grants and Sponsored Research

Grant - Research

• Li, X. (Co-Principal), Fu, S. (Principal), Yang, Q. (Co-Principal), Ding, J. (Co-Principal), "IUCRC Phase I: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)," sponsored by NSF, Federal, $750000 Funded. (2023 - 2028).
• Ding, J. (Principal), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S.A. (Co-Principal), Chen, H. (Co-Principal), Hossain, T. (Co-Principal), Xiao, T. (Co-Principal), Feng, Y. (Co-Principal), Cleveland, A.D. (Co-Principal), Smith, D.L. (Co-Principal), Mankins, N. (Co-Principal), Booker, D.D. (Co-Principal), Carrillo, D. (Co-Principal), "NSF Includes ARISE Alliance Membership," sponsored by Arizona State University, Other, $64800 Funded. (2024 - 2027).
• Xiao, T. (Principal), Ding, J. (Co-Principal), Albert, M.V. (Supporting), Alam, Z.S. (Supporting), Hartmann, F. (Supporting), Wang, Y. (Supporting), Liang, L. (Supporting), Chen, H. (Supporting), Du, J. (Supporting), Azad, R.K. (Supporting), "NSF REU site: Beyond Language: Training to Create and Share Vector Embeddings across Application," sponsored by NSF, Federal, $403547 Funded. (2023 - 2025).
• Ding, J. (Principal), Chen, J. (Co-Principal), Palmer, A.M. (Co-Principal), Smith, D.L. (Co-Principal), "REU Site: Data Analytics and Information Retrieval," sponsored by National Science Foundation, Federal, $400000 Funded. (2019 - 2024).
• Ding, J. (Principal), "Open resource fund," sponsored by UNT Library, University of North Texas, $4000 Funded. (2022 - 2022).
• Ding, J. (Principal), "The cognitive analysis of software development in an open source development environment," sponsored by State Key Lab for Novel Software Technology at Nanjing University, Other, $5500 Funded. (2019 - 2021).
• Ding, J. (Principal), "2020 Tuskegee University NCAEC Research Grant," sponsored by Tuskegee University, NFP, Funded. (2020 - 2022).
• Chen, J. (Co-Principal), Ding, J. (Principal), "REU Site: Data Analytics and Information Retrieval," sponsored by National Science Foundation, FED, Funded. (2019 - 2022).
• Ding, J. (Principal), "Data Science Research and Application Development," sponsored by Source InfoTech, Inc., IND, Funded. (2020 - 2021).
• Ding, J. (Principal), "The cognitive analysis of software development in an open source development environment," sponsored by State Key Lab for Novel Software Technology at Nanjing University, Other, Funded. (2019 - 2021).

Grant - Teaching

• Ding, J., "Open Resource Fund," sponsored by UNT Library, University of North Texas, $500 Funded. (2019 - 2019).

Sponsored Research

• Ding, J., Ludi, S.A., Fu, S., Kinshuk, K., Chen, H., "Developing a High-Quality Academic Environment for Broadening Participation of Hispanic Students in Computing," sponsored by NSF, Federal, $499517 Funded. (2022 - 2025).
• Ding, J. (Principal), "Data science research and education," sponsored by Source Info Tech, Private, $8000 Funded. (2022 - 2022).
• Ding, J., "A Big Data to Knowledge Infrastructure for Analyzing and Modeling Morphology of Biology Cells," sponsored by Global Partnerships and Engagement, University of North Texas, $2000 Funded. (2020 - 2020).