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Weakly supervised Learning, Domain Adaptation.
FPGA, High performance computing.
- M.Sc. 2015 – 2018
Thesis: Distribution Aligned Semi-Supervised Learning
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland
- B.E. 2011 – 2015
Thesis: FPGA acceleration for SiC Motor Controller
Department of Electrical Engineering, Tsinghua University, China
- Off-Policy RL for Efficient and Effective GAN Architecture Search
Yuan Tian*, Qin Wang*, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
European Conference on Computer Vision (ECCV), 2020 (* Equal contribution) [code] [supp]
- 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.
Discover competitive GAN architectures with 7 GPU hours using off-policy RL.
19/20 Spring, Machine Learning for Predictive Maintenance, ETH Zurich, Teaching Assistant
16 Fall, Machine Learning, ETH Zurich, Teaching Assistant
Qin Wang ETH Zurich Homepage 王沁