About Me | 王沁

_ (:3」∠) _

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

Industrial Applications

Master Thesis

Bachelor Thesis

  • FPGA acceleration for SiC Motor Controller Algorithm
    Qin Wang,  D-EE, Tsinghua

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.

Teaching
2019 Spring, Machine Learning for Predictive Maintenance, ETH Zurich, Teaching Assistant
2016 Fall, Machine Learning, ETH Zurich, Teaching Assistant

Find me on Google Scholar

QinWang Homepage

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