Qiqi Hou
Machine Learning Researcher (Senior Engineer) at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolQiqi Hou is a machine learning researcher and senior engineer at Qualcomm Research with 11 years of experience applying ML to computer vision and graphics problems such as data compression, Monte Carlo denoising, video frame interpolation, and matting. With a PhD in Computer Science and internships at Intel and Microsoft Research Asia, Qiqi has delivered state-of-the-art video matting and real-time video/flow solutions—one optical flow implementation runs 1080p frames in ~2ms on Intel GPUs. At Qualcomm they focus on making diffusion models and neural compression work efficiently on-device, bridging cutting-edge research and production constraints. Known for pragmatic engineering across the stack, Qiqi combines deep theoretical training with hands-on systems optimization for real-time multimedia applications.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Portland State UniversityMaster's degree, Master's degree at Xi'an Jiaotong University
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (59)
python10
data-science10
machine-learning10
ml10
tensorflow10
deep-learning10
deep-neural-networks10
neural-network10
high-resolution9
caffe9
simultaneous9
gpu9
optical-flow9
computer-vision8
re-identification8
Programming languages (5)
Github contributions (5)
hqqxyy/hqqxyy.github.io
Sep 2020 - Feb 2025
Contributions:68 pushes, 7 branches in 4 years 5 months
hqqxyy/VFIPS
Jul 2022 - Dec 2022
The PyTorch implementation for A Perceptual Quality Metric for Video Frame Interpolation
Contributions:22 commits, 1 PR, 22 pushes in 4 months
pytorchframeperceptualoptical-flowvideo-frame
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