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The Intelligent Data Engineering and Analytics (IDEA) Lab at UNT is a group of researchers working on exploring effective and efficient methods for access, interaction, and analysis of large, distributed, heterogeneous, and multimedia information, to build high-performance and reliable intelligent systems. Our research spans machine learning, natural language processing, text mining, and information retrieval, focusing on data quality and model testing for data-centric AI systems. We are excited about developing computational models and building real-world applications for important domains such as education, healthcare, legal intelligence, cyber security, scientific communication, etc. The IDEA Lab is led by Dr. Haihua Chen and is also a part of the Department of Information Science, College of Information at UNT. IDEA Lab was previously called IIA Lab, led by Dr. Jiangping Chen.

News

  • 7/17/2024 - Our paper "Exploring the Influence of Regulated Learning Processes on Learners’ Prestige in Project-based Learning", led by Fengjiao Tu and Dr. Haihua Chen publish on Education and Information Technologies (IF = 5.5, JCR Q1 in LIS and Education). Congratulations!
  • 7/15/2024 - Our paper "DIG: Complex Layout Document Image Generation with Authentic-looking Text for Enhancing Layout Analysis", collaborated with Wuhan University, has been accepted by ACM Multimedia 2024, a top conference in Computer Science. Congratulations!
  • 7/4/2024 - Our paper "Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network", collaborated with Central China Normal University, has been accepted by Journal of King Saud University Computer and Information Sciences (IF = 5.2, JCR Q1 in Computer Science). Congratulations!
  • 6/28/2024 - Our paper "Improving Text Classification with Large Language Model-Based Data Augmentation", collaborated with The University of Tennessee, Knoxville, has been accepted by Electronics. Congratulations!
  • 6/14/2024 - Our paper "Exploring the Influence of Regulated Learning Processes on Learners’ Prestige in Project-based Learning", led by Fengjiao Tu and Dr. Haihua Chen has been accepted by Education and Information Technologies (IF = 5.5, JCR Q1 in LIS and Education). Congratulations!
  • 5/20/2024 - Our paper "Are Prompts All You Need?: Chatting with ChatGPT on Disinformation Policy Understanding", led by Dr. Haihua Chen and Komal Cherukuri has been accepted by ASIS&T 2024 as a short paper. Congratulations!
  • 5/10/2024 - Dr. Haihua Chen will serve as the Workshops and Tutorials Co-chair of ACM/IEEE JCDL 2024. Please consider submitting your workshop and tutorial proposals by 8/3/2024.
  • 5/7/2024 - Our panel proposal "Exploring the Application of Artificial Intelligence and Machine Learning in GLAM Collections", led by Dr. Annie Kim and Dr. Haihua Chen has been accepted by ASIS&T 2024. See you in Calgary, Canada this October.
  • 5/1/2024 - Ph.D. student Fengjiao Tu won the Lis and Philip Turner Outstanding Student Paper/Project Award for papers and projects in 2023. Congratulations!
  • 4/18/2024 - Our paper "Demystifying Oral History with Natural Language Processing and Data Analytics: A Case Study of Densho Digital Collection", led by Dr. Haihua Chen and Aisa Sakata, has been accepted by The Electronic Library. Congratulations!
  • 4/8/2024 - Our paper "Exploring and Evaluating the Index for Interdisciplinary Breakthrough Innovation Detection", collaborated with Central China Normal University, has been accepted by The Electronic Library. Congratulations!
  • 4/2/2024 - Our paper "From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures", collaborated with Wuhan University, has been accepted by ACM Computing Surveys, a top journal in CS. Congratulations!
  • 12/1/2023 - Special issue "Applications of Generative AI", led by Dr. Junhua Ding and Dr. Haihua Chen is now Calling for papers at Computer Standards & Interfaces. The deadline for submission is 8/1/2024.

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