Tianjie Dai — accepted AI-conference papers

2025

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis

Haolin Li, Tianjie Dai, Zhe Chen, Siyuan Du, Jiangchao Yao, Ya Zhang +1

NeurIPS 2025poster

Clinical diagnosis is a highly specialized discipline requiring both domain expertise and strict adherence to rigorous guidelines. While current AI-driven medical research predominantly focuses on knowledge graphs or natural text pretraining paradigms to incorporate medical knowledge, these approac…

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2024

Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning

Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang +1

CVPR 2024poster

Noisy correspondence that refers to mismatches in cross-modal data pairs is prevalent on human-annotated or web-crawled datasets. Prior approaches to leverage such data mainly consider the application of uni-modal noisy label learning without amending the impact on both cross-modal and intra-modal g…

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