Xing-Quan Li

CircuitFlow: Learning Dynamic Representations for Logic Optimization

Graph neural networks (GNNs) have emerged as a powerful tool for learning circuit representation, but largely ignore the dynamic nature of logic optimization (LO), leading to a severe ”domain gap” where embedding quality degrades after heuristic transformations. To address this, we propose CircuitFlow, a framework for...