Truong, Thao Nguyen

6 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

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

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

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