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

Greetings! My name is Nhat-Tan Bui (Vietnamese: Bùi Nhật Tân), 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 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 from the University of Science, VNU-HCM (HCMUS) 🇻🇳 and Auckland University of Technology (AUT) 🇳🇿. 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 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 (HCMUS), Quoc-Huy Trinh (Aalto University), Quan Mai (Walmart), Vuong Ho (SBU), Hai-Dang Nguyen (HCMUS), and Duy Le (MBZUAI). All of the people mentioned are those to whom I owe a debt of gratitude.

Research Keywords: Deep Learning 🧠, Computer Vision 👀, and Multimodal Learning 🎏 with applications in Mechanistic Interpretability 🔍 and Linguistic Understanding for Vision-Language Models 📝.

Please feel free to drop me an email if you have any questions about my research, or even me 😁

Master of Science in Computer Science

University of Arkansas, USA, 2023 - 2025, fully-funded by Graduate Assistantships

GPA: 4.00 / 4.00

Bachelor of Science in Computer & Information Science

University of Science, VNU-HCM, Vietnam & Auckland University of Technology, New Zealand, 2018 - 2022

GPA: 3.84 / 4.00

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

NeIn: Telling What You Don't Want

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

Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025) SyntaGen, Tennessee, USA (🏆 Best Paper Award)

TLDR: First Large-Scale Vision-Language Negation Dataset for Text-Guided Image Editing [Paper] [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

International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece

TLDR: Time-Spectrogram Fusion with Cross-Attention Mechanism and Prioritizing R-peaks during Inference [Paper] [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

International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece

TLDR: Frozen SAM’s Encoder, Stack Output Slice Embeddings, and Decode with a 3D CNN Decoder [Paper] [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

Winter Conference on Applications of Computer Vision (WACV 2024), Hawaii, USA

TLDR: Laplacian-based Edge Information Fused with Attention Mechanism for UNet Skip Connection [Paper] [Code]

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

• Outstanding Reviewer, CVPR 2025 (top 5% of 12,593 reviewers)
• Travel Support Award, CVPR 2025
• The Fund for Opportunity and eXperience (FOX) Award, UARK 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

"What I cannot create, I do not understand." - Richard Feynman

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

Tutorial on Contextualized Representations and Pretraining Language Models

"It is your work in life that is the ultimate seduction." - Pablo Picasso

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)