Kaicheng Yu is a machine learning researcher and entrepreneur with nine years of experience bridging cutting-edge neural architecture search and practical CNN optimization for mobile and ego-centric vision applications. As Chief Scientist and Co-founder of KMind.com and an Assistant Professor at Westlake University, he translates academic advances into deployed systems for fine-grained classification and hand segmentation. His work, published at ICCV, ECCV, ICML and ICLR, and recognized by the Qualcomm Innovation Fellowship (Europe) 2019, emphasizes automating architecture discovery to minimize human tuning. Trained at EPFL (PhD) and the University of Hong Kong (first-class honors), he combines rigorous theory with production-minded engineering and a knack for squeezing efficiency out of convolutional operations on resource-constrained devices.
9 years of coding experience
New York University
The University of Hong Kong (HKU)
Doctor of Philosophy (PhD), Computer Vision and Deep Learning, Doctor of Philosophy (PhD), Computer Vision and Deep Learning at EPFL (École polytechnique fédérale de Lausanne)
EPFL CVLab Kubernetes tutorials with true training examples 🤩
Contributions:8 commits, 1 PR, 20 pushes in 9 months
trainingkubernetesepflkubernetes-tutorials
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