Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. - Alex Wong 001; Allison Chen; Yangchao Wu; Safa Cicek; Alexandre Tiard; Byung-Woo Hong; Stefano Soatto (BrainLes@MICCAI (1), 2021)

Stain-invariant self supervised learning for histopathology image analysis. - Alexandre Tiard; Alex Wong 001; David Joon Ho; Yangchao Wu; Eliram Nof; Stefano Soatto; Saad Nadeem (CoRR, 2022)

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (CoRR, 2023)

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (ECCV (64), 2024)

Snakes and Ladders: Accelerating SSM Inference with Speculative Decoding. - Yangchao Wu; Yonatan Dukler; Matthew Trager; Alessandro Achille; Wei Xia; Stefano Soatto (ENLSP, 2024)

Sub-token ViT Embedding via Stochastic Resonance Transformers. - Dong Lao; Yangchao Wu; Tian Yu Liu; Alex Wong 001; Stefano Soatto (ICML, 2024)

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. - Ziyao Zeng; Yangchao Wu; Hyoungseob Park; Daniel Wang 005; Fengyu Yang; Stefano Soatto; Dong Lao; Byung-Woo Hong; Alex Wong 001 (NeurIPS, 2024)

WorDepth: Variational Language Prior for Monocular Depth Estimation. - Ziyao Zeng; Daniel Wang 005; Fengyu Yang; Hyoungseob Park; Yangchao Wu; Stefano Soatto; Byung-Woo Hong; Dong Lao; Alex Wong 001 (CoRR, 2024)

STree: Speculative Tree Decoding for Hybrid State-Space Models. - Yangchao Wu; Zongyue Qin; Alex Wong 001; Stefano Soatto (CoRR, 2025)