Hello, I'm Ngoc Quan

I am a third-year student at Hanoi University of Science and Technology, currently working as a research assistant at the BKAI Laboratory under the guidance of Dr. Nguyen Thi Thu Trang, and as an AI Resident at VinAI Research, mentored by Prof. Le Minh Trung. My primary research interests lie in Bayesian inference, the theoretical foundations of machine learning, and natural language processing for low-resource languages such as Vietnamese.


News

  • Nov 2024: The LaTeX version of my book, 89 Functional Equations (Vietnamese version), is now available to read at vmo.ngocquan.com. The English version will be coming soon.
  • Aug 2024: I have officially joined the VinAI Residency Program as an AI Research Resident under the mentorship of Prof. Trung Le.
  • Mar 2024: Robust Pitch-Fusion Model has been accepted at ICASSP 2024, and the accompanying dataset, ViSEC, has also been released.
  • Sep 2023: I was awarded Second Prize in the SOICT Hackathon 2023 (AI-Powered BFIS Track).
  • May 2023: I achieved First Prize in the National Startup Contest for Students (SV.STARTUP 2023).
  • Jan 2021: I achieved Third Prize in the Vietnam Mathematics Olympiad 2021 (VMO 2021)

Publications

A Robust Pitch-Fusion Model for Speech Emotion Recognition in Tonal Languages

A Robust Pitch-Fusion Model for Speech Emotion Recognition in Tonal Languages

ICASSP, 2024

This paper presents Pitch-fusion, a novel speech emotion recognition (SER) model optimized for tonal languages by incorporating pitch features to enhance performance.

Improving Generalization With Flat Hilbert Bayesian Inference

Improving Generalization With Flat Hilbert Bayesian Inference

arXiv, 2024

This paper introduce Flat Hilbert Bayesian Inference (FHBI), an algorithm that enhances Bayesian inference generalization through an iterative two-step process involving adversarial functional perturbation and functional descent within reproducing kernel Hilbert spaces.

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