"True scholar is shown by phronesis, not imagination."

Greetings! My name is Nhat-Tan Bui (Vietnamese: Bùi Nhật Tân, Chinese: 裴日新), which typically means daily renewal 🌕 with brightness 🔆 and hope 🍀. I’m currently a Master’s student at the University of Arkansas (UARK) 🇺🇸, where I'm supported by Graduate Assistantships. I'm fortunate to be advised by Prof. Susan Gauch and Distinguished Prof. Truong Nguyen (UC San Diego). I initially worked with Asst Prof. Ngan Le during my first year in the US.

I earned my Bachelor's degree in Computer & Information Science through a joint program between the University of Science, VNU-HCM (HCMUS) 🇻🇳 and Auckland University of Technology (AUT) 🇳🇿. While studying there, I was lucky to work as a Research Assistant at the Software Engineering Lab (SELab) under the supervision of Assoc Prof. Minh-Triet Tran and Dr. Ngoc-Thao Nguyen. I was an AI engineer intern at Phenikaa MaaS, working with Hai-Dang Nguyen and Duy Le in the early spring 2022.

I graduated from Le Quy Don High School, the oldest school in Saigon. I'm grateful for the unwavering support of my family, my friends and long-term collaborators: Hieu Hoang, Quan Mai, and Vuong Ho. All of the people mentioned are those to whom I owe a debt of gratitude.

My research lies in the intersection of Deep Learning, Computer Vision and Multimodal Learning. Particularly, I'm interested in Medical Image Analysis and Semantic Understanding for Vision-Language Models. Please feel free to drop me an email if you have any questions about my research, or want to discuss about potential collaborations.

I'm actively looking for fully-funded Ph.D. position in Computer Vision starting in Fall 2026.

Note: This page is updated on April, 2025.

Master of Science in Computer Science

University of Arkansas, USA (UARK), 2023 - 2025

GPA: 4.00 / 4.00

Bachelor of Science in Computer & Information Science

University of Science, VNU-HCM, Vietnam (HCMUS) & Auckland University of Technology, New Zealand (AUT), 2018 - 2022

GPA: 3.84 / 4.00

"Research is for curiosity and fun, though practical implications can emerge." - Zhi-Hua Zhou

Please visit my Google Scholar for full publications.

NeIn: Telling What You Don't Want

Nhat-Tan Bui, Dinh-Hieu Hoang, Quoc-Huy Trinh, Minh-Triet Tran, Truong Nguyen, and Susan Gauch

CVPR 2025 Workshop: SyntaGen - Harnessing Generative Models for Synthetic Visual Datasets, Tennessee, USA [pdf] [project page]

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

Nhat-Tan Bui*, Dinh-Hieu Hoang*, Thinh Phan, Minh-Triet Tran, Brijesh Patel, Donald Adjeroh, and Ngan Le

IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece [pdf] [code]

SAM3D: Segment Anything Model in Volumetric Medical Images

Nhat-Tan Bui*, Dinh-Hieu Hoang*, Minh-Triet Tran, Gianfranco Doretto, Donald Adjeroh, Brijesh Patel, Arabinda Choudhary, and Ngan Le

IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece [pdf] [code]

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, and Ngan Le

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), Hawaii, USA [pdf] [code]

PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification

Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, and Minh-Triet Tran

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2024), Niagara Falls, Canada (Oral) [pdf] [code]

Teaching Assistant

• DASC 32003: Optimization Methods in Data Science (UARK), Spring 2025, Instructor: Assoc Prof. Kelly Sullivan
• DASC 4110: Machine Learning (UARK), Fall 2024, Instructor: Asst Prof. Ukash Nakarmi
• CS302: Data Mining and Knowledge Engineering (Joint Bachelor HCMUS & AUT), Fall 2022, Instructor: Dr. Ngoc-Thao Nguyen

"In the end, when it’s over, all that matters is what you’ve done." - Alexander the Great

CVPR 2025 Travel Support Award, CVPR 2025

The GPSC Tiffany Marcantonio Research Grant, UARK 2025

Department of Electrical Engineering and Computer Science Fellowship, UARK 2025

The Reginald R. ‘Barney’ & Jameson A. Baxter Graduate Fellowship, UARK 2024

Rank 1st place team at OS-MN40 dataset in Open-Set 3D Object Retrieval track, SHREC 2022

Rank 3rd place team at OS-MN40-Miss dataset in Open-Set 3D Object Retrieval track, SHREC 2022

Rank 1st place team in Visual Sentiment Analysis task, MediaEval 2021

Distinctive Academic Performance, HCMUS & AUT 2019 - 2021

Tutorial on Introduction to Neural Networks for Natural Language Processing

Tutorial on Recurrent Neural Network and its Variants

Tutorial on Sequence-to-Sequence and Attention

Tutorial on Transformer

Program Committee:

• International Joint Conference on Artificial Intelligence (IJCAI), 2024 - 2025
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025

Conference Reviewer:

• IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)
• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
• European Conference on Computer Vision (ECCV)
• ACM International Conference on Multimedia (ACMMM)
• International Conference on Multimedia and Expo (ICME)
• European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
• International Conference on Multimedia Modeling (MMM)
• International Conference on Pattern Recognition (ICPR)
• International Symposium on Biomedical Imaging (ISBI)
• Medical Image Understanding and Analysis (MIUA)
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Journal Reviewer:

• Medical Image Analysis
• Biomedical Signal Processing and Control
• Computational and Structural Biotechnology Journal (CSBJ)
• Computer Vision and Image Understanding (CVIU)
• IEEE Journal of Biomedical and Health Informatics (JBHI)