Xuesi Li
PHD at ULVAC China
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolXuesi Li is a PhD-trained researcher and engineer with 11 years of experience at the intersection of deep learning, signal processing, semiconductor sensors, and bioelectronics. He has led end-to-end AI system development from data collection to inference and performance analysis, and has deployed large time-series models with pruning and quantization for efficient inference on GPU clusters and FPGAs. His work spans academia and industry—postdoctoral research at Zhejiang Lab on automated AI testing and cross-domain transfer (EEG to gas sensors), collaborative real-time sensing systems at The University of Tokyo, and sensor process work at ULVAC China. Xuesi combines hands-on hardware deployment (CNN quantization on Lattice FPGA) with biosensor assay optimization (graphene-based miRNA detection), demonstrating rare fluency across algorithms, devices, and fabrication. He is based in Shanghai and known for translating domain-specific signals into scalable ML solutions that perform in constrained embedded and semiconductor environments.
11 years of coding experience
4 years of employment as a software developer
University of TokyoBachelor of Engineering - BE, Electronic Information Engineering, Bachelor of Engineering - BE, Electronic Information Engineering at Tianjin University
Github Skills (57)
vue-composition-api10
fetch-api10
seo10
nuxt10
stream10
minify-css10
vue10
nuxt-module10
node-fetch10
translation9
code-generator9
http9
fetch9
schema9
csharp9
Programming languages (8)
Github contributions (5)
resessh/vue-unstated
Dec 2019 - Sep 2020
A tiny state management library for Vue Composition API.
Contributions:1 release, 92 commits, 93 PRs in 9 months
state-managementvue-composition-apivuevue3composition-api
resessh/nextjs-plugin-minify-css-classname
Jan 2022 - Jan 2022
A Next.js plugin to minify css classname.
Contributions:1 release, 35 commits, 101 PRs in 2 days
class-nameminify-cssnextjs
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