Le Nguyen, Phi

15 publications

TMLR 2026 Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship Nang Hung Nguyen, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang, Masashi Sugiyama

WACV 2025 CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen

ICCV 2025 ConstStyle: Robust Domain Generalization with Unified Style Transformation Nam Duong Tran, Nam Nguyen Phuong, Hieu H. Pham, Phi Le Nguyen, My T. Thai

ICCV 2025 Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data Thu Hang Phung, Duong M. Nguyen, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Trong Nghia Hoang, Phi Le Nguyen

NeurIPS 2025 Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data Manh Duong Nguyen, Trong Nghia Hoang, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Phi Le Nguyen

IJCAI 2025 Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan

ICLR 2025 NeurFlow: Interpreting Neural Networks Through Neuron Groups and Functional Interactions Tue Minh Cao, Nhat Hoang-Xuan, Hieu Pham, Phi Le Nguyen, My T. Thai

NeurIPS 2025 ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge Manh Cuong Dao, The Hung Tran, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang

ICCV 2025 Region-Level Data Attribution for Text-to-Image Generative Models Trong Bang Nguyen, Phi Le Nguyen, Simon Lucey, Minh Hoai

ICCV 2025 Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen, Sen Kim Tran, Son Lam Phung, Anton van den Hengel, Zhibin Liao, Minh-Son To, Johan W. Verjans, Vu Minh Hieu Phan

WACV 2025 Sign Language Recognition: A Large-Scale Multi-View Dataset and Comprehensive Evaluation Nguyen Son Dinh, Tuan Dung Nguyen, Duc Tri Tran, Nguyen Dang Huy Pham, Thuan Hieu Tran, Ngoc Anh Tong, Quang Huy Hoang, Phi Le Nguyen

NeurIPS 2025 Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation Huu Tien Nguyen, Dac Thai Nguyen, Duc Nguyen The Minh, Trung Thanh Nguyen, Thao Nguyen Truong, Hieu Pham, Johan Barthelemy, Tran Minh Quan, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Mai Hong Son, Chau Quynh Anh, Thanh Trung Nguyen, Phi Le Nguyen

ICML 2024 Boosting Offline Optimizers with Surrogate Sensitivity Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang

ECML-PKDD 2024 Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer

NeurIPS 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang