Author

Zhao Wei

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#artificial intelligence Preprint Sep 2026

In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization

Multi-task optimization (MTO) addresses a set of optimization tasks simultaneously, often suffering from inaccurate inter-task relationship estimation under limited evaluation budgets, leading to negative transfer. This paper introduces In-Context Guidance Multitask Optimization (ICG-MTO), a novel framework that levera...

Tingyang Wei, Hao-Feng Wu, Jiao Liu et al. · 0 citations

Preprint Aug 2026

Unsupervised Adaptation of PDE Foundation Models

Pretrained partial differential equation (PDE) foundation models can generalize across different equations, but adapting them to unseen PDE systems typically requires dense solution data, which is often expensive or unavailable. To address this limitation, we propose an unsupervised PDE-based finetuning framework that...

Ziye Song, Zhao Wei, Xin Yu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer

Applying knowledge transfer across multiple optimization tasks, multitask optimization (MTO) emerges as a promising approach to solving synergistic optimization tasks simultaneously. However, the development of effective knowledge transfer mechanisms in MTO fundamentally relies on aligning elite solution distributions...

Tingyang Wei, Hao-Feng Wu, Ananda Phan Iman et al. · 0 citations