Deep MinCut: Learning Node Embeddings by Detecting Communities. - Chi Thang Duong; Thanh Tam Nguyen; Trung-Dung Hoang; Hongzhi Yin; Matthias Weidlich 001; Quoc Viet Hung Nguyen (Pattern Recognit., 2023)

Learning to Discretize Denoising Diffusion ODEs. - Vinh Tong; Anji Liu; Trung-Dung Hoang; Guy Van den Broeck; Mathias Niepert (CoRR, 2024)

Symmetry-Preserving Diffusion Models via Target Symmetrization. - Vinh Tong; Yun Ye; Trung-Dung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert (CoRR, 2025)

Evaluating Precise Geolocation Inference Capabilities of Vision Language Models. - Neel Jay; Hieu Minh Nguyen; Trung-Dung Hoang; Jacob Haimes (CoRR, 2025)

Subgroup Performance Analysis in Hidden Stratifications. - Alceu Bissoto; Trung-Dung Hoang; Tim Flühmann; Susu Sun; Christian F. Baumgartner; Lisa M. Koch (CoRR, 2025)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference. - Trung-Dung Hoang; Alceu Bissoto; Vihangkumar V. Naik; Tim Flühmann; Artemii Shlychkov; Jose Garcia-Tirado; Lisa M. Koch (CoRR, 2025)

Label-free estimation of clinically relevant performance metrics under distribution shifts. - Tim Flühmann; Alceu Bissoto; Trung-Dung Hoang; Lisa M. Koch (CoRR, 2025)