most citedRobult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2026

Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation

Duong M. Nguyen, Trong Nghia Hoang, Hang Thi Nguyen +3

Histological whole-slide images (WSIs) are central to computational pathology but pose severe computational challenges due to their extremely high resolution, often spanning severa…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.LG2026

Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening

Duc N. Do, Minh N. Do, Dang Nguyen +14

Transthoracic echocardiography is the reference standard for confirming structural heart disease (SHD), but first-line screening is limited by cost, workflow burden, and specialist…

cs.IR2025

SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems

Duy A. Nguyen, Hai H. Do, Minh Doan +1

The ability to extract value from historical data is essential for enterprise decision-making. However, much of this information remains inaccessible within large legacy file syste…

cs.LG2025★ 2 cited

Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning

Duy A. Nguyen, Abhi Kamboj, Minh N. Do

Addressing missing modalities and limited labeled data is crucial for advancing robust multimodal learning. We propose Robult, a scalable framework designed to mitigate these chall…

cs.LG2025

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation

Duy A. Nguyen, Quan Huu Do, Khoa D. Doan +1

Multimodal learning has demonstrated incredible successes by integrating diverse data sources, yet it often relies on the availability of all modalities - an assumption that rarely…