Xingyi Yang
Assistant Professor at The Hong Kong Polytechnic University
Hong Kong Island, Hong Kong, Singapore
Summary
🤩
Rockstar🎓
Top SchoolXingyi Yang is an Assistant Professor at The Hong Kong Polytechnic University and a machine learning researcher with nine years of experience spanning academia and industry. She earned a PhD in Electrical and Computer Engineering from NUS after an MS at UC San Diego and a CS bachelor from Southeast University, with visiting stints at Ottawa and Oxford that reflect strong international collaboration. Her work spans semi-supervised learning, neural network quantization, and image super-resolution from internships at SenseTime, Kneron, and ArcSoft to doctoral research at the xML Lab. Comfortable transitioning between theory and applied systems, she brings practical deployment insight from edge-focused quantization to cutting-edge ML research. Colleagues note her ability to synthesize cross-institutional projects—an asset in mentoring students and driving interdisciplinary research.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, electrical and electronic engineering, Master of Science - MS, electrical and electronic engineering at University of California, San Diego - Jacobs School of EngineeringVisiting PhD, Machine learning, Visiting PhD, Machine learning at University of OxfordPhd, Electrical and Computer Engineering, Phd, Electrical and Computer Engineering at National University of SingaporeBachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at Southeast UniversityVisiting Student, Computer Science, Visiting Student, Computer Science at University of Ottawa
Github Skills (118)
transformers10
anchor10
python10
diffusion-models10
semi-supervised-learning10
instance-segmentation10
deep-learning10
vision-transformer10
gemma10
faster-rcnn10
backend10
glm10
glip10
openmmlab10
multimodal10
Programming languages (7)
Github contributions (5)
Adamdad/mmdetection
Mar 2021 - May 2021
OpenMMLab Detection Toolbox and Benchmark
Contributions:40 commits, 39 pushes, 4 branches in 2 months
openmmlab
Adamdad/KnowledgeFactor
Jun 2022 - Sep 2022
[ECCV2022] Factorizing Knowledge in Neural Networks
Contributions:11 commits, 68 pushes, 1 branch in 2 months
neural-networkknowledge-transferpytorchknowldge-distillationeccv2022
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