Hello, I'm Quang Nguyen

I am an AI Research Resident at VinAI Research, with primary research interests in generative models. My research interest focuses on: improving controllability, quality, and real-world applicability of text-guided generative models and ensuring the ethical and secure use of generative AI. Prior to joining VinAI, I completed my B.E. degree in Computer Science at the Ho Chi Minh City University of Technology (HCMUT), Vietnam. Email: quangngcs (at) gmail (dot) com

I am actively looking for PhD position in Fall 2025


News

  • Nov 2024: Finally, I earned my B.E. in Computer Science after four unforgettable years at HCMUT
  • May 2024: I successfully defended my thesis with the highest score
  • Mar 2024: I have been promoted to Research Resident at VinAI Research
  • Dec 2023: I am honored to receive the NeurIPS Scholar award and thrilled to attend my first in-person conference in New Orleans, where I will be presenting our work, Dataset Diffusion.
  • Sep 2023: Dataset Diffusion has been accepted to NeurIPS 2023. We have also released the code.
  • Feb 2023: I joined VinAI Research as a Research Intern.

Publications

Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Quang Nguyen*, Truong Vu*, Anh Tran, Khoi Nguyen
NeurIPS, 2023

Synthesizing semantic segmentation datasets by utilizing cross-attention and self-attention maps of Stable Diffusion

BeCaked: An Explainable Artificial Intelligence Model for COVID-19 Forecasting

BeCaked: An Explainable Artificial Intelligence Model for COVID-19 Forecasting

Scientific Reports (Q1), 2022

Integrating the SIRD compartmental model into a Variational Autoencoder (VAE) framework, this approach enhances pandemic forecasting by combining accurate predictions with improved explainability

UPLIFT: Uplifting Image Quality to Breathe New Life into Generated Visuals

UPLIFT: Uplifting Image Quality to Breathe New Life into Generated Visuals

Under review

Enhancing the degraded images generated by diffusion models by inversion network

SwiftEdit: Lightning Fast Text Guided Image Editing via One-Step Diffusion

SwiftEdit: Lightning Fast Text Guided Image Editing via One-Step Diffusion

Under review

Instantly text-guided image editing within a fraction of second by one-step diffusion model

DynaMark: Dynamic Watermarking for Image Generation Using Wavelet Transform

DynaMark: Dynamic Watermarking for Image Generation Using Wavelet Transform

Quang Nguyen, Truong Vu, Cuong Pham, Khoi Nguyen, Anh Tran
Under review

Watermarking real/generated images by utilizing latent space of Stable Diffusion and wavelet transformation