Trang N. A. Thuan

PhD Student in CS
AI Researcher/ Engineer

🙌🏻 Hi, I'm Thuan!

👨🏻‍🎓 I am a PhD student in Computer Science at RMIT University.

👨🏻‍💻 I was an AI Resident at FPT AIC.

🔬 My main research topic are 3D Vision, Generative Model, Language-Vision Modelling.

🎯 I'm currently seeking for a job in this field.

📋 Other Information:

  • Language: Vietnamese, English.
  • Programming tools: Pytorch, Numpy, Matplotlib,
    Torch Geometric, Plotly.
  • Awards: 50% of Higher Education fees (RMIT),
    PhD Scholarship at A2I2 (Deakin), PhD Scholarship at RMIT.

Further Details: [CV] [IELTS] [Scholarship]

📚 Publications

E(3)-Equivariant Mesh Neural Networks
Thuan N.A. Trang*, Khang Nhat Ngo*, Daniel Levy*, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy

AISTAT 2024

Paper Abstract Code Poster
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions
Thuan N.A. Trang*, Khang Nhat Ngo*, Hugo Sonnery*, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy

TMLR 2024

Paper Abstract Code Video
Sequoia: Hierarchical Self-Attention Layer with Sparse Updates for Point Clouds and Long Sequences
Hugo Sonnery*, Thuan N.A. Trang*, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy

ICLR 2023 Workshop SNN

Paper Poster

📦 Projects

Fine-tuning LLaMA on ChartQA with LoRA 2025
Code
Minimal Retrieval-Augmented Generation (RAG) Pipeline 2024
Code
Video Call Web App with Sign Language Detection 2024
Code

🔖 Certificates

  • Advanced Large Language Model Agents - Ninja Tier

    By UC Berkeley - 2024 [Link]

  • Large Language Model Agents - Mastery Tier

    By UC Berkeley - 2024 [Link]

  • Natural Language Processing Specialization

    By Coursera - 2021 [Link]

  • TensorFlow Developer Certificate (Expired)

    By Google Developers Certification - 2020 [Link]

  • Machine Learning Scientist

    By DataCamp - 2020 [Link]

  • Deep Learning Specialization

    By Coursera - 2019 [Link]

✒️ References

  • Dr. Thieu N. Vo

    Lecturer & Researcher at TDTU, Research Fellow at NUS

    [Website] [Email]

  • Prof. Truong Son Hy

    Assistant Professor at Indiana State University

    [Website] [Email]

  • Prof. Siamak Ravanbakhsh

    Assistant Professor, McGill University, Canada CIFAR AI Chair

    [Website] [Email]

Trang N. A. Thuan

AI Researcher/ Engineer

🗒️ This is some of my notes on Deep Learning

📝 The content in the files below are mostly collected from the resources in the internet. I only try to collect and organize them in a way that is easy to understand. I hope you find them useful.

📚 I have added a separate file containing all the resources I referenced. [Here]

😊 I hope you find them useful.

Tokenizer & Text Embedding

Description of several methods of tokenization and text embedding of LLMs.

Positional Embedding

An overview of various positional encoding methods used in large language models (LLMs) and their generalization for long-sequence inference.