seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation. - Tan-Hanh Pham; Xianqi Li; Kim-Doang Nguyen (IEEE Access, 2024)

Deep-learning framework for optimal selection of soil sampling sites. - Tan-Hanh Pham; Praneel Acharya; Sravanthi Bachina; Kristopher Osterloh; Kim-Doang Nguyen (Comput. Electron. Agric., 2024)

Enhanced Droplet Analysis Using Generative Adversarial Networks. - Tan-Hanh Pham; Kim-Doang Nguyen (CoRR, 2024)

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task. - Khai Le-Duc; Ryan Zhang; Ngoc Son Nguyen; Tan-Hanh Pham; Anh Dao; Ba Hung Ngo; Anh Totti Nguyen; Truong-Son Hy (CoRR, 2024)

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech. - Khai Le-Duc; Quy-Anh Dang; Tan-Hanh Pham; Truong-Son Hy (CoRR, 2024)

MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder. - Khai Le-Duc; Phuc Phan; Tan-Hanh Pham; Bach Phan Tat; Minh-Huong Ngo; Truong-Son Hy (CoRR, 2024)

Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning. - Tan-Hanh Pham; Godwyll Aikins; Tri Truong; Kim-Doang Nguyen (CoRR, 2024)

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization. - Tan-Hanh Pham; Hoang-Nam Le; Phu-Vinh Nguyen; Chris Ngo; Truong-Son Hy (CoRR, 2024)

Soil Sampling Map Optimization with a Dual Deep Learning Framework. - Tan-Hanh Pham; Kim-Doang Nguyen (Mach. Learn. Knowl. Extr., 2024)

SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging. - Tan-Hanh Pham; Trong-Duong Bui; Quang Minh Luu; Tan-Huong Pham; Chris Ngo; Truong-Son Hy (CVPR Workshops, 2025)

Enhanced droplet analysis using generative adversarial networks. - Tan-Hanh Pham; Travis Burgers; Kim-Doang Nguyen (Comput. Electron. Agric., 2025)

A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors. - Minh Ngoc Nguyen; Khai Le-Duc; Tan-Hanh Pham; Trang Nguyen; Quang Minh Luu; Ba Kien Tran; Truong-Son Hy; Viktor Dremin; Sergei Sokolovsky; Edik Rafailov (CoRR, 2025)

Predicting Space Tourism Demand Using Explainable AI. - Tan-Hanh Pham; Jingchen Bi; Rodrigo Mesa-Arango; Kim-Doang Nguyen (CoRR, 2025)

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods. - Tan-Hanh Pham; Ovidiu C. Andronesi; Xianqi Li; Kim-Doang Nguyen (CoRR, 2025)

IQBench: How "Smart" Are Vision-Language Models? A Study with Human IQ Tests. - Tan-Hanh Pham; Phu-Vinh Nguyen; Dang The Hung; Trong-Duong Bui; Vu Nguyen Thanh; Chris Ngo; Tri Quang Truong; Truong-Son Hy (CoRR, 2025)

RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints. - Tan-Hanh Pham; Chris Ngo (CoRR, 2025)

Multimodal Chain of Continuous Thought for Latent-Space Reasoning in Vision-Language Models. - Tan-Hanh Pham; Chris Ngo (CoRR, 2025)