Zhihao Yu
Research Scientist at Virginia Tech Center for Photonics Technology
Haidian District, Beijing, China
Summary
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Rockstar🎓
Top SchoolZhihao Yu is a research scientist with a decade of expertise in ultrafast and fiber optics, holding a PhD in nonlinear optics from the Institute of Physics at the Chinese Academy of Sciences and a BS from Tsinghua University. He has led DOE- and industry-sponsored projects as a research associate at Virginia Tech’s Center for Photonics Technology and now conducts advanced photonics research at Peking University’s College of Chemistry and Molecular Engineering. His work spans lab leadership, fiber-optic sensor development, and ultrafast microscopy, bridging fundamental nonlinear optics with practical high-impact technologies. Beyond optics, he contributes backend and ML engineering to open-source text generation tooling, demonstrating fluency in data handling and context-aware model design—an uncommon cross-disciplinary blend for an experimental photonics researcher.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at 清华大学
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
model-building10
pytorch10
deep-learning10
python10
modeling10
model-driven10
model-driven-development10
pre-trained-model9
data-processing9
text-generation9
machine-learning8
rnn-model8
n8
Programming languages (8)
Github contributions (5)
RUCAIBox/TextBox
Jan 2021 - Aug 2022
TextBox 2.0 is a text generation library with pre-trained language models
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:55 commits, 6 PRs in 1 year 6 months
Contributions summary:Zhihao made several commits that focused on the `textbox/data` and `textbox/model/Attribute` directories, indicating involvement in data handling and model development. Their work included modifications to the `data/utils.py` and `dataset/paired_sent_dataset.py` files, suggesting improvements in data loading and processing for text generation tasks. The commits also introduced and updated the `c2s.py` model file, implying the user was actively working on implementing and refining a context-aware text generation model. This includes several refactoring and feature additions to the `C2S` model, including supporting Beam Search and introducing gated mechanisms.
pytorchnlppythonpre-trained-language-modelsnatural-language-generation
zhuohaoyu/TuringAdvancedProgramming19B
Apr 2020 - Jun 2020
Code of tasks of Turing Class 2019's Advanced Programming (second term)
Contributions:2 releases, 69 commits, 1 PR in 1 month
advanced-programmingturingsecondcompetitive-programmingterm
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