CV

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Research Interests

I am primarily focused on Natural Language Processing, Data Mining, and Machine Learning. I have an interest in addressing the challenges posed by information sparsity in textual data. Specifically, my recent project centers around augmenting text data by incorporating supplementary information to enrich its content. The objective is to enhance its relevance and usefulness for downstream applications such as information retrieval and text classification.

Education

• Ph.D in Computer Science and Engineering, University of Notre Dame
  • 2022 - Present
• B.S. in Computer Science & B.S. in Mathematics, Texas Christian University
  • 2017 - December 2021
  • Summa Cum Laude Graduate, Cumulative GPA: 4.0/4.0

Research Project

• Aug 2022 - Present: Knowledge Enhancement for Text Using Expansion Techniques

Industry experience

• Nov 2020 - Feb 2021: Research Scientist Intern (Natural Language Processing)
• Aug 2020 - Nov 2020: Data Science Intern
  • Knorex Pte. Ltd
  • Supervisor: Mr. Phu Le
• Summer 2020: Undergraduate Research
  • Cornell University - REU/SPUR Program
  • Supervisor: Dr. Andy Borum
• June 2019 - August 2019: Machine Learning Intern
  • FPT Software
  • Supervisor: Mr. Hoang Nguyen

Publications

Papers

• Embedding Mental Health Discourse for Community Recommendation.
  H.Dang, B. Nguyen*, N. Ziems, M. Jiang.
  4th Workshop on Computational Approaches to Discourse, joint with The 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 2023.

• A Quantitative Review on Language Model Efficiency Research.
  M. Jiang, H. Dang, L. Tong.
  Large Language Model Symposium in conjunction with International Joint Conference on Artificial Intelligence (IJCAI), 2023.

• StTime-Net: Combining both Historical and Textual Factos for Stock Movement Prediction
  H. Dang, M. Nguyen, B. Mei
  International Conference on Artificial Neural Networks (ICANN 2022), 273-284
  
• Housing price prediction via improved machine learning techniques
  Q. Truong, M. Nguyen, H. Dang, B. Mei
  Precedia Computer Science 174, 433-442
  

Posters/Presentations

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  Presentation at National Collegiate Research Conference, Harvard University (NCRC 2022)
  

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  Student Talk at the Sixteenth Annual Texas Undergraduate Mathematics Conference (TUMC 2021)
  

• Modeling Wound Healing Using Deep Learning
  H. Dang
  Poster Presentation at the 3rd Annual Meeting of the SIAM Texas-Louisiana Section. (2020)
  

• Bifurcations of an elastic ring with interacting particles
  H. Dang, L. Mantilla, S. Zhang, A. Borum
  Student Talk/Poster Session Presentation at the Canadian Undergraduate Mathematics Conference (CUMC 2020)
  

Preprints

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  [arXiv]