Zhongyang Zhang
Research Engineer at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolZhongyang Zhang is a research engineer with eight years of experience at the intersection of multimodal learning and special-sensor vision, currently based in San Diego and working at Qualcomm. He holds PhD-level training in data science and applied machine learning and has published ten papers on event cameras, hyperspectral and infrared imaging, and human pose estimation. His PhD work produced a high-frequency 3D human pose tracker, an end-to-end event stream simulator, and a deep-learning/statistics hybrid converter that outperforms prior video-to-event methods. He has applied these research strengths in industry internships—building real-time 3D facial avatar systems, gameplay telemetry models, and multimodal knowledge-graph pipelines—and maintains practical ML tooling contributions such as enhancements to a PyTorch Lightning template. Notably, he developed an efficient event representation that nearly halved error in continuous-time dense trajectory estimation, and he is now aligning event modalities with images, text, and audio to enable customizable event generation.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at 美国加州大学圣迭戈分校访问学者, 人工智能, 访问学者, 人工智能 at Missouri University of Science and TechnologyDoctor of Philosophy - PhD, Applied Machine Learning & Mobile Health, Doctor of Philosophy - PhD, Applied Machine Learning & Mobile Health at University of Massachusetts AmherstBachelor, 电信学学院基于项目信息类专业教育实验班（种子班）, Bachelor, 电信学学院基于项目信息类专业教育实验班（种子班） at 华中科技大学
Japanese, English, Chinese
Github Skills (13)
model-building10
pytorch10
machine-learning10
deeplearning-ai10
deep-learning10
python10
modeling10
model-driven10
model-driven-development10
template-engine9
template-tags9
templater9
configurations9
Programming languages (7)
Github contributions (5)
miracleyoo/pytorch-lightning-template
Mar 2021 - Jan 2023
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 1 PR, 16 pushes in 1 year 11 months
Contributions summary:Zhongyang made several modifications to the PyTorch Lightning template, including updating the model interface and modifying the RDN fuse model. They also introduced changes to the data loading and augmentation procedures within the data/common.py file. Furthermore, the user incorporated license information and added support for different learning rate scheduling methods.
pytorchkeeplightningpytorch-templatetranslate
miracleyoo/Hua-Cai-Ren-Sheng
Jun 2018 - Jun 2018
Contributions:27 commits, 18 pushes, 1 branch in 3 days
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