Nguyen, Duy Minh Ho

12 publications

TMLR 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

ICLR 2026 FACET: A Fragment-Aware Conformer Ensemble Transformer Duy Minh Ho Nguyen, Trung Quoc Nguyen, Ha Thi Hong Le, Mai Thanh Nhat Truong, TrungTin Nguyen, Nhat Ho, Khoa D Doan, Duy Duong-Tran, Li Shen, Daniel Sonntag, James Zou, Mathias Niepert, Hyojin Kim, Jonathan E Allen

NeurIPS 2025 ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Hoang-Bao Le, Tai Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Zou, Mathias Niepert

ICLRW 2025 Few-Shot Whole Slide Pathology Classification with Multi-Granular Vision-Language Models 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

NeurIPS 2025 How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? Tuan Anh Tran, Duy Minh Ho Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D Doan, Roger Wattenhofer, Vien Anh Ngo, Mathias Niepert, Daniel Sonntag, Paul Swoboda

TMLR 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

NeurIPS 2025 Mitigating Reward Over-Optimization in Direct Alignment Algorithms with Importance Sampling Nguyen Minh Phuc, Ngoc-Hieu Nguyen, Duy Minh Ho Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D Doan

ICML 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

ACML 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

ICLRW 2024 Energy Minimizing-Based Token Merging for Accelerating Transformers Hoai-Chau Tran, Duy Minh Ho Nguyen, Manh-Duy Nguyen, Ngan Hoang Le, Binh T. Nguyen

ICML 2024 Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An Thai Le, Trungtin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

NeurIPSW 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