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).
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.
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.
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.