List of Topics

We have explorations on following research directions :

  1. Deep Learning Theory: meta-learning, domain adaptation, generalization, neural tangent kernel
  2. Machine Learning Applications: people detection and tracking, OCR, document summary, text generalization
  3. Reinforcement Learning: multi-task RL, multi-agent, distributional RL
  4. Others: Transformer-based models, Graph Representation Learning

Ongoing Thesis Topics

The list of undergraduated thesis topics of this semester :

  1. Apply wasserstein distance for improving policy gradient in navigation-based reinforcement learning
  2. A study of generalization of meta-learning
  3. Neural tangent kernel for deep equilibrim models
  4. Learning Tabular data with transformer-based models
  5. Vietnamese handwritten recognition with transformer
  6. Transformer models as the universal embedding for mix-type input data
  7. Seismic facies classification with unet model
  8. Unnormal behaviour detection from crowds, a domain adaptation-based approach

Projects

The list of participated projects :

  1. AI-based application for 3D-model restoration of Vietnamese and Korean cultural heritage (2021-2024). Funded by: Bilateral funded by Vietnam (MOST) and Korea (MSICT). Role: Main Investigator
  2. AI-based system for integrating geophysics data and and detecting petroleum-potential (2020-2021). Funded by: Vietnam (MOST). Role: Main Investigator
  3. Methods for improving Deeep CNN-Based Image Steganography (2020-2021). Funded by: VNU University of Engineering and Technology. Role: Principal Investigator
  4. Research and development of application for counseling students in university using artificial intelligence (2017-2019). Funded by: Vietnamese Ministry of Education and Training. Role: Main Investigator
  5. Analytical methods of satellite image processing for air pollution estimation in Vietnam (2013-2014). Funded by: Asia Research Center, Vietnam National University Hanoi. Role: Main Investigator
  6. Recognition and Analysis of user context from multi-source data for Ambient Intelligent systems (2012-2015). Funded by: National Foundation for Science & Technology Development. Role: Main Investigator

Others :

  1. Developing a realtime feed suggestion system based on social graph features (2019-2020). Gapo social network

Thesis topics of 2020-2021

  1. Improve social-based product recommendations with transformer layers
  2. Multi-agents learning with counter factual: A study in the case of long horizon sparse rewards
  3. Weakly segmentation
  4. Seismic data restoration with cycle-GAN
  5. Han-nom OCR detecion based on differential binarization

Thesis topics of 2019-2020

  1. Improve deeplearning-based image steganography with auxilary objectives
  2. Fast OCR detection with lightweight network