Tan-Hanh Pham

According to our database, Tan-Hanh Pham authored at least 17 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multimodal Chain of Continuous Thought for Latent-Space Reasoning in Vision-Language Models.

Tan-Hanh Pham, Chris Ngo

CoRR, August, 2025

RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints.

Tan-Hanh Pham, Chris Ngo

CoRR, June, 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, May, 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, May, 2025

Predicting Space Tourism Demand Using Explainable AI.

Tan-Hanh Pham, Jingchen Bi, Rodrigo Mesa-Arango, Kim-Doang Nguyen

CoRR, March, 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, February, 2025

Enhanced droplet analysis using generative adversarial networks.

Tan-Hanh Pham, Travis Burgers, Kim-Doang Nguyen

Comput. Electron. Agric., 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Soil Sampling Map Optimization with a Dual Deep Learning Framework.

Tan-Hanh Pham, Kim-Doang Nguyen

Mach. Learn. Knowl. Extr., June, 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

Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning.

Tan-Hanh Pham, Godwyll Aikins, Tri Truong, Kim-Doang Nguyen

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

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech.

Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham, Truong-Son Hy

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

Enhanced Droplet Analysis Using Generative Adversarial Networks.

Tan-Hanh Pham, Kim-Doang Nguyen

CoRR, 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

seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation.

Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen

IEEE Access, 2024