Qifeng Chen
Associate Professor
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolQifeng Chen is an Associate Professor at HKUST with 11 years of experience bridging academic research and applied machine learning. Trained at Stanford (PhD) and with industry stints at Intel Labs and a co-founded startup, he focuses on computer vision and photographic image synthesis, contributing practical improvements to training, loss design, and human evaluation workflows. His work blends rigorous research with engineering pragmatism—evident in GitHub contributions that enhanced Cascaded Refinement Networks for realistic image generation and MTurk evaluation pipelines. Based in Hong Kong, he combines deep technical expertise with entrepreneurship and a track record of shipping reproducible, evaluation-driven ML systems.
10 years of coding experience
8 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
tensorflow10
computer-vision10
machine-learning9
python9
Programming languages (3)
Github contributions (5)
CQFIO/PhotographicImageSynthesis
Jul 2017 - Feb 2022
Photographic Image Synthesis with Cascaded Refinement Networks
Role in this project:
ML Engineer
ML EngineerContributions:25 commits, 26 pushes, 1 branch in 4 years 7 months
Contributions summary:Qifeng primarily focused on refining and improving the training and evaluation scripts for the image synthesis model. Their commits include updates to the loss functions, VGG network weights, and output formats within the `demo_xxxp.py` files. They also added the code to extract the input data and updated the MTurk evaluation scripts, indicating a focus on model performance and practical application. The user appears to have been involved in improving the performance of the model as well as evaluating the results on Amazon Turk.
refinementsynthesisimage-synthesistensorflowcascaded-refinement-networks
CQFIO/FastImageProcessing
Sep 2017 - Sep 2017
Fast Image Processing with Fully-Convolutional Networks
Contributions:4 commits, 4 pushes, 1 branch in 13 days
pythonfeature-extractionfast-imagecomputer-visionconvolutional
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.