Yang Zou(邹洋)

Applied Scientist

Rekognition, Amazon Website Services


I am an Applied Scientist of the Rekognition team at Amazon Website Services, working on computer vision and machine learning. I received my PhD degree in Electrical and Computer Engineering from Carnegie Mellon University, supervised by Prof. Vijayakumar Bhagavatula. My research strives to enable visual machines to learn with minimal supervision. [CV/Resume]


  • Deep Learning
  • Computer Vision
  • Transfer Learning


  • PhD in Electrical and Computer Engineering, 2015 - 2020

    Carnegie Mellon University

  • M.Sc. in Automation, 2012 - 2015

    Chongqing University

  • B.Sc. in Mathematics, 2007 - 2011

    Chongqing University


Selected Publications

(2020). Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection. NeurIPS 2020.

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(2020). Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV 2020, Oral Presentation (2%).

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(2019). Confidence Regularized Self-Training. ICCV 2019, Oral Presentation (4.3%).

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(2019). Conservative Wasserstein Training for Pose Estimation. ICCV 2019.

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(2018). Simultaneous Edge Alignment and Learning. ECCV 2018.

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(2016). Sliced Wasserstein Kernels for Probability Distributions. CVPR 2016.

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Journal/Conference Reviewer: CVPR, ICCV, ECCV, NeuriPS, TIP, AAAI, IJCAI, WACV, …