activity
20232026
most citedOn the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation

4 citations · 11 across the 19 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.CY2025

Reinforcing Trustworthiness in Multimodal Emotional Support Systems

Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo +6

In today's world, emotional support is increasingly essential, yet it remains challenging for both those seeking help and those offering it. Multimodal approaches to emotional supp…

cs.CV2025

How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?

Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran +7

Recent advances in 3D point cloud transformers have led to state-of-the-art results in tasks such as semantic segmentation and reconstruction. However, these models typically rely…

cs.LG2025★ 2 cited

S-Chain: Structured Visual Chain-of-Thought For Medicine

Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh +21

Faithful reasoning in medical vision-language models (VLMs) requires not only accurate predictions but also transparent alignment between textual rationales and visual evidence. Wh…

cs.LG2025

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling

Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy H. M. Nguyen +5

Direct Alignment Algorithms (DAAs) such as Direct Preference Optimization (DPO) have emerged as alternatives to the standard Reinforcement Learning from Human Feedback (RLHF) for a…

cs.CV2025

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification

Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep +7

Whole slide pathology image classification presents challenges due to gigapixel image sizes and limited annotation labels, hindering model generalization. This paper introduces a p…

cs.LG2025

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation

Nghiem T. Diep, Huy Nguyen, Chau Nguyen +5

The LLaMA-Adapter has recently emerged as an efficient fine-tuning technique for LLaMA models, leveraging zero-initialized attention to stabilize training and enhance performance.…

eess.IV2025★ 2 cited

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends

Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Tai Nguyen +4

The emergence of artificial intelligence (AI), particularly deep learning (DL), has marked a new era in the realm of ophthalmology, offering transformative potential for the diagno…