9 citations · 12 across the 6 of their papers we have counts for
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cs.LG2024
A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction
Zekang Yang, Hong Liu, Xiangdong Wang
Computer-aided cancer survival risk prediction plays an important role in the timely treatment of patients. This is a challenging weakly supervised ordinal regression task associat…
eess.AS2024★ 9 cited
Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training
Yiming Li, Zhifang Guo, Xiangdong Wang +1
Recent advances have been witnessed in audio-language joint learning, such as CLAP, that shows much success in multi-modal understanding tasks. These models usually aggregate uni-m…
cs.CV2024★ 3 cited
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
Zekang Yang, Hong Liu, Xiangdong Wang
Cancer survival prediction is a challenging task that involves analyzing of the tumor microenvironment within Whole Slide Image (WSI). Previous methods cannot effectively capture t…