Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks. - Tong Chen; Sicong Liu; Zhiran Chen; Wenyan Hu; Dachi Chen; Yuanxin Wang 001; Qi Lyu; Cindy X. Le; Wenping Wang (Adv. Artif. Intell. Mach. Learn., 2023)

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks. - Yihui He; Jianing Qian; Cindy X. Le; Congrui Hetang; Qi Lyu; Wenping Wang; Tianwei Yue (Adv. Artif. Intell. Mach. Learn., 2023)

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth. - Cindy X. Le; Congrui Hetang; Ang Cao; Yihui He (CoRR, 2023)

Segment Anything Model for Road Network Graph Extraction. - Congrui Hetang; Haoru Xue; Cindy X. Le; Tianwei Yue; Wenping Wang; Yihui He (CVPR Workshops, 2024)

Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers. - Hai Phan; Cindy X. Le; Vu Le; Yihui He; Anh Totti Nguyen (WACV, 2024)

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion. - Cindy X. Le; Congrui Hetang; Chendi Lin; Ang Cao; Yihui He (CoRR, 2024)

Objaverse++: Curated 3D Object Dataset with Quality Annotations. - Chendi Lin; Heshan Liu; Qunshu Lin; Zachary Bright; Shitao Tang; Yihui He; Minghao Liu; Ling Zhu; Cindy X. Le (CoRR, 2025)