Mengzhou Wu — accepted AI-conference papers

2026

From Assistant to Independent Developer — Are GPTs Ready for Software Development?

Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren +7

ICLR 2026poster

Large language models (LLMs) have demonstrated remarkable capability in function-level code generation tasks. Unlike isolated functions, real-world applications demand reasoning over the entire software system: developers must orchestrate how different components interact, maintain consistency acro…

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2026

KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits

Dezhi Ran, Shuxiao Xie, Mingfang Ji, Anmin Liu, Mengzhou Wu, Yuan Cao +6

ICML 2026poster

High-performance GPU kernels are critical for efficient LLM serving, yet their optimization remains a bottleneck requiring deep system expertise. While code LLMs show promise in generating functionally correct code, kernel optimization is intrinsically a search problem over a vast optimization space…

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