FANG LYU — accepted AI-conference papers

2025

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU, Ming Zhong, Zhilei Chai, Haojie Zhou +2

NeurIPS 2025poster

Compiler optimization is essential for improving program performance, yet modern compilers still depend on manually crafted transformation rules over intermediate representations (IRs). As compilers grow in complexity, maintaining these rule-based optimizations becomes increasingly labor-intensive a…

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2024

ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency

Ming Zhong, FANG LYU, Lulin Wang, Hongna Geng, Lei Qiu, Huimin Cui +1

NeurIPS 2024poster

Compiler backends are tasked with generating executable machine code for processors. With the proliferation of diverse processors, it is imperative for programmers to tailor specific compiler backends to accommodate each one. Meanwhile, compiler backend development is a laborious and time-consuming…

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