My name is Qin Wang. I am a 1st year PhD student at ETH Zurich.
Weakly supervised Learning, Domain Adaptation.
FPGA design, High performance computing.
- M.Sc. 2015 – 2018
Thesis: Distribution Aligned Semi-Supervised Learning, Qin Wang, ETH
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
- B.E. 2011 – 2015
Thesis: FPGA acceleration for SiC Motor Controller, Qin Wang, Tsinghua
Department of Electrical Engineering, Tsinghua University, China
- Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang, Wen Li, Luc Van Gool
International Conference on Computer Vision (ICCV) Oral, 2019 [code]
- Fully Context-Aware Video Prediction
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
European Conference on Computer Vision (ECCV) Oral, 2018
- Webvision Benchmark Models
Benchmarking image classification models for Webvision Dataset: training from 16 million noisy images from the web.
Tensorflow implementation of our augmented distribution alignment method for semi-supervised learning.
2019 Spring, Machine Learning for Predictive Maintenance, ETH Zurich, Teaching Assistant
2016 Fall, Machine Learning, ETH Zurich, Teaching Assistant
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Originally, I grew up in Shanghai. Before I came to Zurich, I enjoyed four years of life in Beijing and earned my Bachelor Degree from Tsinghua.
Qin Wang ETH Zurich Homepage 王沁