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Yang-Tao Wang

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#artificial intelligence Preprint Aug 2026

Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training

TPGC is proposed, a dual-prior prompt initialization solution that explicitly models the synergy between task prior and structural prior, and achieves consistently better performance under few-shot settings than state-of-the-art baselines, with fewer downstream tunable parameters and lower runtime.

Zhixuan Qiu, Yang-Tao Wang, Xiaocui Li et al. · 0 citations
Jul 2026

Progressive Hybrid Pseudo-Labeling for Unsupervised Domain Adaptation With Ascending Low-Rank Adaptation

Unsupervised domain adaptation (UDA) based on large vision-language models (VLMs) has recently demonstrated strong generalization ability, yet it remains fundamentally challenged by noisy pseudo-labels and inefficient adaptation under large domain shifts. In this paper, we propose Progressive Hybrid Pseudo-Labeling for...

Yang-Tao Wang, Mingxin Huang, Xingwei Deng et al. · 0 citations

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