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Weixin Liu

2 accepted papers

2026

OPTIMIZING DOMAIN-ADAPTIVE SELF-SUPERVISED LEARNING FOR CLINICAL VOICE-BASED DISEASE CLASSIFICATION

ICASSP 2026oral

The human voice is a promising non-invasive digital biomarker, yet deep learning for voice-based health analysis is hindered by data scarcity and domain mismatch, where models pre-trained on general audio fail to capture the subtle pathological features characteristic of clinical voice data. To addr…

Cited by 0SourcePDFScholar
2022

Learning Weakly-supervised Contrastive Representations

ICLR 2022poster

We argue that a form of the valuable information provided by the auxiliary information is its implied data clustering information. For instance, considering hashtags as auxiliary information, we can hypothesize that an Instagram image will be semantically more similar with the same hashtags. With th…