Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility. - Tianqu Kang; Anh-Dung Dinh; Binghong Wang; Tianyuan Du; Yijia Chen; Kevin Chau (CoRR, 2022)

Diffusion Action Segmentation. - Daochang Liu; Qiyue Li; Anh-Dung Dinh; Tingting Jiang 001; Mubarak Shah; Chang Xu 002 (ICCV, 2023)

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. - AnhDung Dinh; Daochang Liu; Chang Xu 002 (ICML, 2023)

Learning to Schedule in Diffusion Probabilistic Models. - Yunke Wang; Xiyu Wang; Anh-Dung Dinh; Bo Du 001; Charles Xu 002 (KDD, 2023)

Rethinking Conditional Diffusion Sampling with Progressive Guidance. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (NeurIPS, 2023)

Boosting Diffusion Models with an Adaptive Momentum Sampler. - Xiyu Wang; Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (IJCAI, 2024)

Compress Guidance in Conditional Diffusion Sampling. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (CoRR, 2024)

Representative Guidance: Diffusion Model Sampling with Coherence. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (ICLR, 2025)

Generative Physical AI in Vision: A Survey. - Daochang Liu; Junyu Zhang; Anh-Dung Dinh; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (CoRR, 2025)

DiffAct++: Diffusion Action Segmentation. - Daochang Liu; Qiyue Li; Anh-Dung Dinh; Tingting Jiang 001; Mubarak Shah; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)