Duy M. H. Nguyen

37 papers A* 4A 1C 2Misc 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR 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
2025	J	`jnl`	Audio-3DVG: Unified Audio - Point Cloud Fusion for 3D Visual Grounding. CoRR Duc Cao-Dinh, Khai Le-Duc, Anh Dao, Bach Phan Tat, Chris Ngo, Duy M. H. Nguyen, Nguyen X. Khanh, Thanh Nguyen-Tang
2025	J	`jnl`	Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends. CoRR Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Binh T. Nguyen, Devansh Srivastav, Hans-Jürgen Profitlich, Ngan Le, Daniel Sonntag
2025	J	`jnl`	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR 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
2025	J	`jnl`	On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. CoRR Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy M. H. Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho
2025	J	`jnl`	S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR 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
2025	J	`jnl`	The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models. CoRR Phuc Minh Nguyen, Chinh D. La, Duy M. H. Nguyen, Nitesh V. Chawla, Binh T. Nguyen, Khoa D. Doan
2024	A*	`conf`	Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert
2024	J	`jnl`	Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR 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
2024	J	`jnl`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	J	`jnl`	I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag
2024	J	`jnl`	LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR 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
2024	J	`jnl`	Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2023	A*	`conf`	Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 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
2023	A*	`conf`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 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
2023	J	`jnl`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR 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
2022	J	`jnl`	ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. Inf. Sci. 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
2022	J	`jnl`	DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR 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
2022	J	`jnl`	Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
2022	A*	`conf`	LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
2022	J	`jnl`	TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag
2021	J	`jnl`	EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. Inf. Sci. Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
2021	J	`jnl`	LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
2021	J	`jnl`	OASIS: An Active Framework for Set Inversion. CoRR Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2021	J	`jnl`	Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
2021	Misc	`conf`	Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
2021	J	`jnl`	TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag
2020	J	`jnl`	Attention with Multiple Sources Knowledges for COVID-19 from CT Images. CoRR Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag
2020	J	`jnl`	EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. CoRR Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
2020	J	`jnl`	Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen
2019	J	`jnl`	An active learning framework for set inversion. Knowl. Based Syst. Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2019	—	`conf`	Automatically Generate Hymns Using Variational Attention Models. ISNN (2) Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen
2018	C	`conf`	OASIS: An Active Framework for Set Inversion. SoMeT Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2017	A	`conf`	3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model. WACV Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen
2016	—	`conf`	Fast learning rates with heavy-tailed losses. NIPS Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen
2016	J	`jnl`	Fast learning rates with heavy-tailed losses. CoRR Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen
2015	C	`conf`	Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen