About Me

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My name is Qin Wang. I am a 1st year PhD student at ETH Zürich. I received my bachelor degree in Electrical Engineering from Tsinghua Univ and my master degree from ETH Zürich.

Love

Neural Nets, Weakly Supervised Learning and Domain Adaptation.

Like

FPGA design, High performance computing, Power electronics.

Publication

Machine Learning and Computer Vision Machine Learning in Industrial Applications Master Thesis Github Repos
  • Webvision Benchmark Models
    Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web. 
  • ADA-Net
    Tensorflow implementation of our augmented distribution alignment method for semi-supervised learning.
Find me on Google Scholar

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