"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 [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

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

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)