Chen Feng
Lecturer (Assistant Professor) In Machine Learning at MHFA England®
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChen Feng is a machine learning lecturer and researcher with nine years of experience focused on AI robustness, safety, and weakly/self-supervised methods, currently based in London and appointed at Queen's University Belfast. He holds a PhD in Computer Vision and Multimedia from Queen Mary University of London and an MSc from Tsinghua, bringing strong interdisciplinary training that spans genomics-informed bioinformatics to autonomous systems. His work addresses adversarial robustness, multi-modal LLMs, and learning from noisy labels, blending theoretical algorithm design with applied projects and EU-funded exchange experience. At UCL he led Leverhulme-supported research and has a track record of collaborating internationally, including a Horizon-funded stint at the MHUG Lab in Trento. Beyond research, he contributes to academic teaching and student mentorship and serves as a certified Mental Health First Aider, reflecting a commitment to inclusive, supportive research environments.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Controlling Science, Bachelor's degree, Controlling Science at Nankai UniversityMaster's Degree, Genomics Analysis/Bioinformatics, Master's Degree, Genomics Analysis/Bioinformatics at Tsinghua UniversityDoctor's Degree, Computer Vision and Multimedia, Doctor's Degree, Computer Vision and Multimedia at Queen Mary University of London
Github Skills (67)
representation-learning10
contrastive-learning10
genomics9
single-cell-genomics9
cran9
unsupervised-learning9
self-supervised-learning8
python8
representations8
bioinformatics8
information-theory8
computer-vision7
robotics6
linear-algebra6
principal-component-analysis5
Programming languages (5)
Github contributions (5)
MrChenFeng/MaskCon_CVPR2023
Mar 2023 - Mar 2025
Contributions:21 pushes, 1 branch, 2 comments in 2 years
MrChenFeng/Adaptive-Soft-Contrastive-Learning_ICPR2022
Jun 2022 - Dec 2022
Contributions:5 commits, 10 pushes, 1 branch in 5 months
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