Author

Hao-Feng Wu

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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

#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