CV - Khanh Duy Nguyen

  • Khanh Duy Nguyen
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Khanh Duy Nguyen

Khanh Duy Nguyen

Full-time learner

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  • Ho Chi Minh City, Vietnam
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  • Github
  • Google Scholar
CVEducation
  • Aug. 2017 - Oct. 2021: BSc in Information Technology (Honor Program) @ VNUHCM - University of Science
    • GPA: 9.24/10, ranked 2/70
    • Thesis: Deep Learning for Image-based Emotion Recognition in the Wild (Grade: 10/10)
    • Supervisor(s): Prof. Bac Le, Asst. Prof. Anh Nguyen
Work experience
  • Sep. 2021 - Present: Teaching Assistant (Part-time) @ VNUHCM - University of Science
    • Courses: Fundamentals of Artificial Intelligence, Data Mining and Applications
    • Responsibility: Preparing and grading lab assignments
    • Supervisor(s): Prof. Bac Le
  • Oct. 2021 - Jun. 2022: AI Research Resident (Full-time) @ FSoft AI Center
    • Responsibility:
      • Experimenting with different losses to tackle class-wise imbalance and the dominance of negative labels in long-tailed multi-label visual recognition
      • Implementing equivariant models for graph and point cloud data.
    • Supervisor(s): Asst. Prof. Anh Nguyen, Dr. Thieu Vo, Dr. Tan Nguyen
  • Oct. 2020 - Apr. 2021: Research Intern (Part-time) @ VinAI Research
    • Responsibility:
      • Helping build a traffic sign text recognition dataset
      • Exploring current methods in visual question answering (VQA) and text VQA, conducting a literature review on vision & language research.
  • Jul. 2019 - Sep. 2019: Data Scientist Intern (Full-time) @ BioTuring
    • Responsibility:
      • Indexing studies into the company’s single-cell analytics application’s database
      • Investigating different methods to predict cell types based on the gene expression.
Skills
  • Artificial Intelligence:
    • Computer Vision
    • Deep Learning
    • Data Science
    • Machine Learning
  • Coding
    • Python, Pytorch
    • Java/C++ (previous experience)
  • Language: IELTS 8.0
Publications
  • Global-Local Attention for Emotion Recognition

    Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le (2021). "Global-Local Attention for Emotion Recognition." Neural Computing and Applications.

  • Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

    Khanh Nguyen*, Nhat Le*, Quang Tran, Erman Tjiputra, Bac Le, Anh Nguyen (2023). "Uncertainty-aware Label Distribution Learning for Facial Expression Recognition." WACV 2023.

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