About Me

I am a Ph.D. student in Information Science (concentrating on Data Science) at the University of North Texas, where I am a member of the Intelligent Data Engineering and Analytics (IDEA) Lab under the supervision of Prof. Haihua Chen and Prof. Ting Xiao. My research interests primarily focus on Innovation Measurement, Scientometrics, and AI4Science, with particular emphasis on leveraging large language models for scientific peer review and knowledge discovery.

I have published multiple papers in top-tier conferences and journals including WWW, JCDL, ICDM, Journal of Informetrics, and Information Processing & Management. My work bridges natural language processing, machine learning, and computational scientometrics to advance understanding of scientific innovation and peer review systems.

🔥 News

• 2026.02:  🎉🎉 One Paper accepted at WWW 2026!
• 2025.02:  🎉🎉 Two papers accepted at JCDL 2025 and ICDM 2025!
• 2024.08:  🎉🎉 Started my Ph.D. journey at University of North Texas!

📝 Publications

Conference Papers

• AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation, Zhang, H., Li, R., Liang, Z., Sattari, M., Vo, P., Qu, C., Xiao, T., Ding, J., Zhang, Y., & Chen, H., WWW 2026

• ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation, Zhang, H., Li, R., Xiao, T., Ding, J., & Chen, H., JCDL 2025

• Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers, Li, R., Zhang, H., Xiao, T., Ding, J., & Chen, H., ICDM 2025

Journal Papers

• IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory, Wang, Z., Wang, N., Zhang, H., Wang, Z., Wang, Z., Ding, J., & Chen, H., Information Processing & Management, 2025

• An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model, Wang, Z., Zhang, H., Chen, J., & Chen, H., Journal of Informetrics, 2024

• Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network, Wang, Z., Zhang, H., Chen, H., Feng, Y., & Ding, J., Journal of King Saud University - Computer and Information Sciences, 2024

• Exploring and evaluating the index for interdisciplinary breakthrough innovation detection, Wang, Z., Qiao, X., Chen, J., Li, L., Zhang, H., Ding, J., & Chen, H., The Electronic Library, 2024

Preprints

• The evolving role of large language models in scientific innovation: evaluator, collaborator, and scientist, Zhang, H., Li, R., Zhang, Y., Xiao, T., Chen, J., Ding, J., & Chen, H., arXiv preprint, 2025

🎖 Honors and Awards

• 2025 Graduate Student Research Award, University of North Texas
• 2025 SIGIR Student Travel Grant, Special Interest Group on Information Retrieval
• 2025 Graduate Student Travel Grant, University of North Texas
• 2024.06 Excellent Master’s Thesis, Central China Normal University
• 2022 Excellent Graduate Student, Central China Normal University

📖 Educations

• 2024.08 - present, Ph.D. in Information Science (Data Science), University of North Texas, Denton, USA
• 2021.09 - 2024.06, M.S. in Library and Information Science, Central China Normal University, Wuhan, China
• 2017.09 - 2021.06, B.S. in Electronic Business, Central China Normal University, Wuhan, China

💼 Professional Service

Conference Organizing Committee

• Website Chair, 1st International Workshop on Data Mining and AI for Law (ICDM 2025)
• Website Chair, 1st Integrated Approaches to Testing Data-Centric AI Systems: Methods, Metrics, and Benchmarks (AIxSE 2025)
• Website Chair, 2nd Workshop on Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data (JCDL 2024)
• Website Chair, 1st Workshop on Utilizing AI/ML to Enhance Information Extraction, Organization, and Retrieval from Large-scale Archival Collections (JCDL 2024)
• Website Chair, 1st Workshop on Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data (JCDL 2023)

Journal Reviewer

• Humanities and Social Sciences Communications (2025 - present)
• Journal of the Association for Information Science and Technology (2025 - present)
• The Electronic Library (2024 - present)
• Data Intelligence (2024 - present)

Conference Reviewer

• ICDM 2025, EMNLP 2025, ACL 2025, IEEE QRS 2025, IEEE AITest 2025
• IEEE BigData 2025, JCDL 2025 (PC member - Resources Track), JCDL 2024

💻 Teaching Experience

• 2025.05 - 2025.07, Research Assistant, UNT AI/CS Summer Research Program
• 2024.08 - present, Teaching Assistant, DTSC 5502 Section 401 - Principles and Techniques for Data Science (Fall 2024, Spring 2025, Fall 2025, Spring 2026)