ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection. - Chenyang Zhao 011; Antoni B. Chan (ICLR, 2023)

Gradient-based Visual Explanation for Transformer-based CLIP. - Chenyang Zhao 011; Kun Wang; Xingyu Zeng; Rui Zhao; Antoni B. Chan (ICML, 2024)

Gradient-Based Instance-Specific Visual Explanations for Object Specification and Object Discrimination. - Chenyang Zhao 011; Janet H. Hsiao; Antoni B. Chan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting. - Wei Lin 018; Chenyang Zhao 011; Antoni B. Chan (CVPR, 2025)

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP. - Chenyang Zhao 011; Kun Wang; Janet H. Hsiao; Antoni B. Chan (CoRR, 2025)

Density-based Object Detection in Crowded Scenes. - Chenyang Zhao 011; Jia Wan 001; Antoni B. Chan (CoRR, 2025)