Duy M. H. Nguyen

According to our database, Duy M. H. Nguyen authored at least 46 papers between 2015 and 2026.

Collaborative distances:

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

2026

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving.

Hao Vo, Khoa Vo, Phu Loc Nguyen, Sieu Tran, Duc Minh Nguyen, Ngo Xuan Cuong, Gladys Gawugah, Sreevenkata Anjani Tishita Godavarthi, Chase Rainwater, Nghi D. Q. Bui, Anh Nguyen, Duy Minh Ho Nguyen, Ngan Le

CoRR, May, 2026

SparseSAM: Structured Sparsification of Activations in Segment Anything Models.

Hoai-Chau Tran, Chi H. Nguyen, Duy M. H. Nguyen, Mathias Niepert, Fan Lai, Khoa D. Doan

CoRR, May, 2026

BSO: Safety Alignment Is Density Ratio Matching.

Tien-Phat Nguyen, Truong Nguyen, Thin Nguyen, Duy Minh Ho Nguyen, Ngoc-Thanh Dinh, Trung Le

CoRR, May, 2026

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching.

Truong Nguyen, Tien-Phat Nguyen, Linh Ngo Van, Duy Minh Ho Nguyen, Khoa D. Doan, Trung Le

CoRR, May, 2026

StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models.

Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert

CoRR, March, 2026

DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction.

Cuong Tran Van, Trong-Thang Pham, Ngoc Son Nguyen, Duy Minh Ho Nguyen, Ngan Le

Trans. Mach. Learn. Res., 2026

Explainable Machine Learning for Predicting Poor Mobilizers in Allogeneic Donors for Hematopoietic Stem Cell Transplantation.

Dung Manh Nguyen, Duy M. H. Nguyen, Nghia Thi Mai, Kou Yamada

Proceedings of the 40th International Conference on Information Networking, 2026

Reinforce Trustworthiness in Multimodal Emotional Support System.

Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Binh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective.

Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reinforcing Trustworthiness in Multimodal Emotional Support Systems.

Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Binh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen

CoRR, November, 2025

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

Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda

CoRR, November, 2025

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

Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen

CoRR, October, 2025

The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models.

Phuc Minh Nguyen, Chinh D. La, Duy M. H. Nguyen, Nitesh V. Chawla, Binh T. Nguyen, Khoa D. Doan

CoRR, October, 2025

Audio-3DVG: Unified Audio - Point Cloud Fusion for 3D Visual Grounding.

Duc Cao-Dinh, Khai Le-Duc, Anh Dao, Bach Phan Tat, Chris Ngo, Duy M. H. Nguyen, Nguyen X. Khanh, Thanh Nguyen-Tang

CoRR, July, 2025

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

Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Nhat Ho, Jacqueline Michelle Metsch, Miriam Cindy Maurer, Daniel Sonntag, Hanibal Bohnenberger, Anne-Christin Hauschild

CoRR, February, 2025

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

Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Binh T. Nguyen, Devansh Srivastav, Hans-Jürgen Profitlich, Ngan Le, Daniel Sonntag

CoRR, January, 2025

MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification.

Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Nhat Ho, Jacqueline Michelle Metsch, Miriam Cindy Maurer, Daniel Sonntag, Hanibal Bohnenberger, Anne-Christin Hauschild

Trans. Mach. Learn. Res., 2025

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

Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy M. H. Nguyen, Anji Liu, An Mai, Nguyen Thanh Binh, Daniel Sonntag, Khoa D. Doan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models.

Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Nguyen, Hoang-Bao Le, Tai D. Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Y. Zou, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis.

Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model.

Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert

CoRR, 2024

I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data.

Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.

Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert

CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.

Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.

Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.

Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag

Proceedings of the Asian Conference on Machine Learning, 2024

2023

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.

Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert

CoRR, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.

Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification.

Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Daniel Sonntag

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.

Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TATL: Task agnostic transfer learning for skin attributes detection.

Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag

Medical Image Anal., 2022

ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks.

Duy M. H. Nguyen, Duy M. Nguyen, Truong Thanh Nhat Mai, Thu Nguyen, Khanh T. Tran, Anh Triet Nguyen, Bao T. Pham, Binh T. Nguyen

Inf. Sci., 2022

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading.

Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag

CoRR, 2022

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking.

Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data.

Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade

Inf. Sci., 2021

Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction.

Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2020

Posterior concentration and fast convergence rates for generalized Bayesian learning.

Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen

Inf. Sci., 2020

Attention with Multiple Sources Knowledges for COVID-19 from CT Images.

Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag

CoRR, 2020

A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net.

Duy Minh Ho Nguyen, Abraham Obinwanne Ezema, Fabrizio Nunnari, Daniel Sonntag

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

2019

An active learning framework for set inversion.

Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh

Knowl. Based Syst., 2019

Automatically Generate Hymns Using Variational Attention Models.

Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

OASIS: An Active Framework for Set Inversion.

Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017

3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model.

Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016

Fast learning rates with heavy-tailed losses.

Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers.

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen

Proceedings of the Theory and Applications of Models of Computation, 2015