Hengyue Liu
Research Intern at Intel Labs
Riverside, California, United States
Summary
👤
Senior🎓
Top SchoolHengyue Liu is a PhD candidate at UC Riverside and a research-focused computer vision engineer with ten years of experience across industry labs and startups, currently interning on video foundation models at Intel Labs. He has a strong track record in object detection, scene graph generation (co-author of a CVPR 2021 oral paper), and energy-aware edge ML, having developed throttleable neural networks for adaptive power-accuracy trade-offs. Previously he led vision research at Frenzy.ai and contributed practical systems for large-scale image retrieval, gesture recognition, and deployed cloud APIs. Comfortable spanning research and applied engineering, he combines rigorous academic training with hands-on implementation and deployment experience across AWS and embedded settings. Notably, his work blends model innovation with system-level control—optimizing when networks should run as much as how they learn.
10 years of coding experience
1 year of employment as a software developer
Master’s Degree, Electrical and Electronics Engineering, 3.83, Master’s Degree, Electrical and Electronics Engineering, 3.83 at University of Southern CaliforniaBachelor’s Degree, Telecommunications Engineering and Management, 85.6, Bachelor’s Degree, Telecommunications Engineering and Management, 85.6 at Beijing University of Posts and TelecommunicationsDoctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.85, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.85 at University of California, RiversideBachelor’s Degree, Telecommunications Engineering and Management, Bachelor’s Degree, Telecommunications Engineering and Management at Queen Mary University of London
English, Chinese
Github Skills (22)
visual-question-answering10
clip9
zero-shot-classification9
computer-vision8
python8
deep-learning8
gpu8
machine-learning8
pytorch7
multimodal7
neural-network6
tensorflow6
numpy5
language-model5
backbone3
Programming languages (1)
Github contributions (5)
liuhengyue/fcsgg
Nov 2021 - Aug 2022
Contributions:4 commits, 3 pushes, 1 branch in 8 months
liuhengyue/da-det
Jan 2020 - Jan 2021
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Contributions:36 pushes in 1 year
pytorchnext-generationsegmentationdetectron2deep-learning
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