About

I am an undergraduate student from Vietnam, majoring in Talented Program - Computer Science at the School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST).

I am conducting research at the Modeling, Simulation and Optimization Laboratory (MSOLab), under the supervision of Professor Huynh Thi Thanh Binh.

My research interests are not limited to any specific domain — I am always exploring new problems, challenges, and creative ideas. At the moment, I am focusing on: Combinatorial Optimization, Machine Learning Theory, Multi-Agent Learning, and Computer Vision.

News

  • Mar 2026 🎉 One paper accepted at MALGAI Workshop ICLR 2026!
  • Nov 2025 🎉 One paper accepted as an oral presentation at AAAI 2026!

Education

2022 - 2026

Bachelor of Science

Major: Talented Program - Computer Science (GPA: 3.9/4.0)

School of Information and Communication Technology (SOICT)
Hanoi University of Science and Technology (HUST)

2019 - 2022

High School Diploma

Specialty: Mathematics

Bac Giang High School for the Gifted

Publications

★ indicates equal contribution
Tags: Oral Spotlight Poster Workshop Preprint History

I share submission history to normalize rejection as part of the research journey.
I choose workshops as venues to publish some primary ideas and “preprints” before extending them more comprehensively for the main conference track.

2026

Predictive Spectral Calibration for Source-Free Test-Time Regression

Nguyen Viet Tuan Kiet, Huynh Thanh Trung, Pham Huy Hieu
Keywords: Test-Time Adaptation, Image Regression
Preprint Paper
2026

MAPLE: Multi-Agent Prior Learning for Constructing Tree Ensembles

Nguyen Viet Tuan Kiet, Nguyen Ba Thinh, Huynh Thanh Trung, Pham Huy Hieu
Workshop on Multi-Agent Learning and Its Opportunities in the Era of Generative AI (ICLR-26)
Keywords: Tabular Learning, Large Language Models, Multi-Agent Learning
Workshop ICLRW-26 Paper Code
2025

MOTIF: Multi-strategy Optimization via Turn-based Interaction Framework

Nguyen Viet Tuan Kiet, Dao Van Tung, Tran Cong Dao, Huynh Thi Thanh Binh
The 40th AAAI Conference on Artificial Intelligence (AAAI-26)
Keywords: Combinatorial Optimization, Automatic Algorithm Design, Multi-Agent Prompting
Oral AAAI-26 Paper Code Poster Slides

Ongoing

01

Automatic Algorithm Design

Conceptual Combinatorial Optimization Large Language Model
Aug 2025
02

Informed Machine Learning

Theoretical Tabular Learning Large Language Model
Sep 2025
03

Structural Learning in Deep Models

Empirical Neural Combinatorial Optimization Multi-Agent System
Oct 2025
04

Advanced Residual Learning

Conceptual Computer Vision Neural Ordinary Differential Equations
Dec 2025
05

Multi-Robot Exploration

Empirical Robotics Multi-Agent System Heuristic Search
Dec 2025
06

Low-level Vision Tasks

Theoretical Computer Vision Image Restoration
Jan 2026

Experience

2025 - Present

Research Assistant

VinUni-Illinois Smart Health Center, VinUniversity

Working on Modern Network Architectures and Techniques for Computer Vision.
Advisors: Assistant Prof. Huynh Thanh Trung, Assistant Prof. Pham Huy Hieu.

2023 - Present

Undergraduate Researcher

Modeling, Simulation and Optimization Laboratory (MSOLab)

Research on Large Language Models for Combinatorial Optimization.
Supervised by Prof. Huynh Thi Thanh Binh.

Awards

2023

Second Prize

Student Creative Ideas Challenge (SCIC), SOICT

Project: Digital Library for Children

2023

Gold Medal

National Mathematical Olympiad for University & High School Students

Subject: Calculus

2023

Gold Ruler

Iranian Geometry Olympiad (IGO)

2023

First Prize (Champion)

Hanoi Mathematical Modeling Competition

Topic: Modeling the impact of storms on fish production and fishing vessels

2022

Gold Ruler

Iranian Geometry Olympiad (IGO)

2022

Second Prize

Vietnam Mathematical Olympiad (VMO)

Top 50 candidates participating in Team Selection Test (TST)

2021

Consolation Prize

Vietnam Mathematical Olympiad (VMO)

Visitor

👋

Thank you for visiting my page! It means a lot to me.

I am always happy to connect — whether you have a question, a collaboration idea, or just want to say hi. Feel free to reach out via email or any of the links above. I look forward to hearing from you!