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Haihua Chen

Assistant Professor

University of North Texas

Department of Data Science

(940) 220-0057

Email: Haihua.Chen@unt.edu

Education

  • PhD, University of North Texas, 2022
    Major: Information Science
    Dissertation: Data Quality Evaluation and Improvement for Machine Learning

Teaching

Teaching Experience

    University of North Texas

  • HINF 5506 - Applications of Artificial Intelligence in Health, 1 course.
  • INFO 4206 - Information Retrieval Systems, 1 course.
  • INFO 5502 - Principles and Techniques for Data Science, 2 courses.
  • INFO 5506 - Artificial Intelligence in Health, 1 course.
  • INFO 5731 - Computational Methods for Information Systems, 14 courses.
  • INFO 5810 - Data Analysis and Knowledge Discovery, 8 courses.
  • INFO 6900 - Special Problems, 4 courses.

Research

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.

Presentations Given

    Other

  • Chen, H. (Coordinator/Organizer), Kim, J. (Coordinator/Organizer), JCDL 2024 Conference, Utilizing AI/ML to enhance information extraction, organization, and retrieval from large-scale archival collections, Hong Kong. (2024 - 2024).

    • Panel Presentation

  • Kim, J. (Author & Presenter), Chen, H. (Author & Presenter), Yang, L. (Author & Presenter), Simic, J. (Author), 2024 ASIS&T Annual Meeting, Exploring the application of artificial intelligence and machine learning in GLAM collections, Canada. (2024 - 2024).

    • Paper

  • Chen, H. (Author), Cleveland, A.D. (Author), Ding, J. (Author), Li, R. (Author), South Central Chapter of the Medical Library Association Annual Meeting, Evaluating ChatGPT-based data augmentation for medical concept normalization, South Central Chapter of the Medical Library Association, Dallas, TX, United States of America. (2024).
  • Tran, N. (Author), Cleveland, A.D. (Author), Chen, H. (Author & Presenter), Medical Library Association Annual Conference, Disaster Informatics Over Time: A Bibliometric Study from 2016 to 2022, Medical Library Association, Portland, OR, United States of America. (2024).
  • Tran, N. (Author & Presenter), Chen, H. (Author), Cleveland, A.D. (Author), Joint Southern / South Central Chapter of the Medical Library Association Annual Meeting, Unveiling Key Research Themes in Disaster Informatics Amidst the Pandemic, Southern & South Central Chapters of the Medical Library Association, New Orleans, LA, United States of America. (2023).
  • Cleveland, A.D. (Author & Presenter), Chen, H. (Author), Joint Southern/South Central Chapter of the Medical Library Association Annual Meeting, Dental informatics over time: A 20-years longitudinal bibliometric analysis, Southern & South Central Chapters of the Medical Library Association, New Orleans, LA, United States of America. (2023).
  • Tran, N. (Author & Presenter), Cleveland, A.D. (Author & Presenter), Chen, H. (Author), Joint Southern/South Central Chapter of the Medical Library Association Annual Meeting, Exploring the Shift in Disaster Informatics Research 2016-2022, Southern & South Central Chapters of the Medical Library Association, New Orleans, LA, United States of America. (2023).

    • Poster

  • Vengala, S. (Author & Presenter), Potula, R.A. (Author), Chen, H. (Author), Cleveland, A.D. (Author), University Research Day, An Analysis of the Dental Informatics Literature from 2018 – 2023: Keyword Extraction, University of North Texas, Denton, TX, United States of America. (2024).
  • Vengala, S. (Author & Presenter), Potula, R.A. (Author), Chen, H. (Author), Cleveland, A.D. (Author), UNT Day of Health Informatics and Data Science, Analysis of the Dental Informatics Literature from 2018 – 2023: Keyword Extraction, UNT College of Information, Frisco, TX, United States of America. (2024).
  • Tran, N. (Author & Presenter), Chen, H. (Author), Cleveland, A.D. (Author), UNT Day of Health Informatics and Data Science, Exploring Collaboration Patterns and Topics in Disaster Informatics during the Pandemic Era, UNT College of Information, Frisco, TX, United States of America. (2024).
  • Tran, N. (Author & Presenter), Cleveland, A.D. (Author), Chen, H. (Author), University Research Day, Analyzing the Evolution of the Disaster Informatics Literature From Pre-pandemic to Post-Pandemic, University of North Texas, Denton, TX, United States of America. (2023).
  • Tran, N. (Author & Presenter), Cleveland, A.D. (Author), Chen, H. (Author), University Research Day, Exploring Emerging Themes and Topics in Disaster Informatics during the Pandemic Era, University of North Texas, Denton, TX, United States of America. (2023).

    • Webinar

  • Cleveland, A.D. (Author & Presenter), Chen, H. (Author & Presenter), Katragadda, N. (Author), Tran, N. (Author & Presenter), Research Brown Bag, Informatics applications in multiple fields: A bibliometric analysis, UNT Department of Information Science, Online, United States of America. (2022).

Contracts, Grants, 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).