Haihua Chen

Previous Scheduled Teaching

Published Intellectual Contributions

Conference Proceeding

• Kim, J., Chen, H., Yang, L., Simic, J. (2024). Exploring the application of artificial intelligence and machine learning in GLAM collections. Proceedings of the Association for Information Science and Technology. Proceedings of the Association for Information Science and Technology.
• Chen, H., Kim, J., Yang, L., de Fremery, W., Wang, X. (2024). Utilizing AI/ML to enhance information extraction, organization, and retrieval from large-scale archival collections. Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries.
• Zhou, Y., Tu, F., Sha, K., Ding, J., Chen, H. (2024). A Survey of Data Quality Evaluation and Tools for Machine Learning. 2024 IEEE Intl. Conference on AI Testing.
• Ding, J., Nguyen, H., Chen, H. (2024). Evaluation of Question-Answering Based Text Summarization using LLM. 2024 IEEE Intl. Conference on AI Testing.
• Zhang, X., Chen, H., Chong, M., Hagen, L. (2024). A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic. New York, Association for Computing Machinery. https://dl.acm.org/doi/proceedings/10.1145/3657054
• Nguyen, H., Chen, H., Maganti, R., Hossain, T., Ding, J. Identifying High-quality Informative Comments for Software Review Summarization. IEEE AITest.
• Feng, Y., Vanam, S., Cherukupally, M., Zheng, W., Qiu, M., Chen, H. (2023). Investigating Code Generation Performance of Chat-GPT with Crowdsourcing Social Data. Proceedings of the 47th IEEE Computer Software and Applications Conference. 1--10.
• 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, J., Chen, H., Tang, M. (2020). An Ontology-based Semantic Information Retrieval System. IEEE.
• Chen, J., Chen, H., Tang, M. (2020). Smart bookshelf for library book management. Proceedings of the Association for Information Science and Technology, 2020..
• 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.

Journal Article

• Kim, J., Chen, H., Bloechle, M. (2025). Editorial: A roadmap to ethical research. The Electronic Library.
• Zhao, H., Chen, H., Ruggles, T.A., Feng, Y., Singh, D., Yoon, H. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Other. 13 (13) 2535. MDPI.
• Jahan, R.I., Fan, H., Chen, H., Feng, Y. (2024). Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach. Other.
• Kargozari, K., Ding, J., Chen, H. (2024). Empowering Consumer Decision-Making: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis. 13(21) Electronics.
• Chen, H., Kim, J., Chen, J. (2024). Demystifying Oral History with Natural Language Processing and Data Analytics: A Case Study of Densho Digital Collection. The Electronic Library. 42 (4) 643-665. Emerald.
• Tu, F., Wu, L., Kinshuk, X., Ding, J., Chen, H. (2024). Exploring the Influence of Regulated Learning Processes on Learners. Education and Information Technologies.
• Wang, Z., Zhang, H., Chen, H., Feng, Y., Ding, J. (2024). Content-based Quality Evaluation of Scientific Papers using Coarse Feature and Knowledge Entity Network. Journal of King Saud University - Computer and Information Sciences.
• Wang, Z., Qiao, X., Chen, J., Li, L., Zhang, H., Ding, J., Chen, H. (2024). Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. The Electronic Library.
• Wang, Z., Peng, S., Chen, J., Zhang, X., Chen, H. (2023). ICAD-MI: Interdisciplinary concept association discovery from the perspective of metaphor interpretation. Knowledge-Based Systems. 275 110695. Elsevier BV. http://dx.doi.org/10.1016/j.knosys.2023.110695
• 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.
• 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.
• Cartwright, A.D., Carey, C.D., Chen, H. (2021). Multi-tiered intensive supervision: A culturally-informed method of clinical supervision. Teaching and Supervision in Counseling. https://trace.tennessee.edu/tsc/
• Chen, H., Chen, J., Ding, J. (2021). Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Transactions on Reliability. 70 (2) IEEE.
• Chen, J., Chen, H., Tang, M. (2020). An ontology-improved vector space model for semantic retrieval. The Electronic Library.
• Chen, J., Lu, W., Chen, H. (2019). Result Diversification in Image Retrieval Based on Semantic Distance. Denton,
• Cui, J., Ma, Y., Zhang, J., Chen, H., Fang, R. (1996). Growth and characterization of diamond film on aluminum nitride. Materials Research Bulletin. 31 (7) 781--785. Pergamon.

Other

• Ding, J., Chen, H., Feng, Y., Hossain, T. (2024). Applications of Deep Learning Techniques. Other. 13 (17) 3354. MDPI.

Contracts, Grants and Sponsored Research

Grant - Research

• 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), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S.A. (Co-Principal), Chen, H. (Co-Principal), "HSI Implementation and Evaluation Project: Develop a High Quality Academic Environment for Broadening Participation of Hispanic Students in Computing," sponsored by National Science Foundation, Federal, $500000 Funded. (2022 - 2025).

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).