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Author

Yong-Chao He

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Book Open access Sep 2026

LMTracer: Fine-Grained and Real-Time Performance Profiling for Production LLM Systems

LMTracer is presented, a fine-grained and real-time performance profiling framework for production LLM services that embed profiling logic into the execution through graph-embedded probing and streaming buffered profiling data to CPUs on demand to keep the execution of user kernels uninterrupted.

Wei Liu, Yong-Chao He, Bo-Han Zhao et al. · 0 citations
#machine learning Preprint Apr 2026

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving

FluxMoE is presented, which decouples experts from physical GPU residency and adapts their footprint to available memory through a new \emph{expert paging} abstraction, and streams weights on demand while keeping expert computation on GPUs.

Qing-Xiu Liu, Yong-Chao He, Run-Han Jiang et al. · 0 citations
Jul 2026

InstantInfer: Enabling Fast LLM Cold Start with Communicating Finite Automata

This work proposes the Communicating Finite Automata (CFA) abstraction to systematically analyze cross-component optimization opportunities, and designs a programming framework to enable CFA-based component program refactoring that preserves the original sequential program structure while enabling safe concurrent compo...

Yitao Yuan, Yongchao He, Shaoke Fang et al. · 0 citations

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