ملف الباحث
Shuaiqun Pan
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
2025
Surrogate models are frequently employed as efficient substitutes for the costly execution of real-world processes. However, constructing a high-quality surrogate model often demands extensive data acquisition. A solution to this issue is to transfer pre-trained …