Ning Liao

M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

2023 · arXiv (Cornell University)

In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown classes (i.e., not seen during training), they always predict …

Thyroid pathology image classification via multi-scale feature fusion and multi-instance learning

2025 · Diagnostic Pathology

BACKGROUND: The global incidence of thyroid cancer has significantly increased, while traditional pathological diagnosis remains time-consuming and expert-dependent. This study develops an auxiliary diagnostic tool designed to reduce the workload of pathologists and improve diagnostic …

Predicting higher education students' continued intention and self-reported use of generative AI tools in academic work: An extended UTAUT mixed-methods study

2026 · Acta Psychologica

This study investigated the factors shaping Chinese higher education students' continued intention and self-reported use of generative artificial intelligence (GenAI) tools in academic work. Drawing on an extended Unified Theory of Acceptance and Use of …