A Bag-of-Prototypes Representation for Dataset-Level Applications. - Weijie Tu; Weijian Deng; Tom Gedeon; Liang Zheng 001 (CVPR, 2023)

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP). - Weijie Tu; Weijian Deng; Tom Gedeon (NeurIPS, 2023)

An Empirical Study Into What Matters for Calibrating Vision-Language Models. - Weijie Tu; Weijian Deng; Dylan Campbell; Stephen Gould; Tom Gedeon (ICML, 2024)

Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels. - Weijie Tu; Weijian Deng; Dylan Campbell; Yu Yao 005; Jiyang Zheng; Tom Gedeon; Tongliang Liu (CoRR, 2024)

What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? - Weijie Tu; Weijian Deng; Liang Zheng 001; Tom Gedeon (Trans. Mach. Learn. Res., 2024)

Toward a Holistic Evaluation of Robustness in CLIP Models. - Weijie Tu; Weijian Deng; Tom Gedeon (IEEE Trans. Pattern Anal. Mach. Intell., 2025)