Jingyue Pang

PhD Candidate

Harbin, Heilongjiang, China
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Summary

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Jingyue Pang is a PhD candidate at Harbin Institute of Technology specializing in Prognostics and Health Management, remaining useful life prediction for lithium-ion batteries, anomaly detection, and big data mining. Over five years she has authored eight journal and conference papers (including SCI and EI indexed work), holds 21 invention patent applications with three granted, and has been a key contributor to eight research projects. Combining a strong academic foundation in machine learning and data mining (MS) with instrumentation expertise (BS), she applies practical monitoring-data processing techniques to real-world reliability problems. Jingyue also mentors graduate students and bridges theoretical research with applied patentable innovation, reflecting a focus on translating models into deployable solutions.
code5 years of coding experience
bookMS, machining learning and data mining, MS, machining learning and data mining at Harbin Institute of Technology
bookBS, instrument science and technology, BS, instrument science and technology at chongqing university of technology
languagesChinese, English
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Github Skills (43)

memory-efficient10
user-friendly10
chainer10
machine-learning10
notion10
deep-learning10
cuda10
scalable10
distributed-training9
music-generation9
pytorch9
neural-network9
style-transfer8
deep-neural-networks8
tensorflow8

Programming languages (5)

C#C++RustLuaPython

Github contributions (5)

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Pang-GJ/luce

Jul 2022 - Nov 2022

C++20协程net,基于epoll,可以方便地使用await语法
Contributions:105 commits, 4 PRs, 36 pushes in 3 months
epollawait
Pang-GJ/Pang-GJ

Jan 2022 - Feb 2025

Contributions:43 pushes, 1 branch in 3 years 1 month
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Jingyue Pang - PhD Candidate