Xiaoding Yuan

Xiaoding Yuan

Ph.D. Student of Computer Science

Johns Hopkins University

About me

I am a second-year Computer Science Ph.D. student at Johns Hopkins University, where I’m fortunate to be advised by Bloomberg Distinguished Professor Alan Yuille.

Before this, I received my B.Eng. degree from Tongji University in 2021. I have also spent great time at NIO, ByteDance and Amazon.

My research interests currently lie in the field of semi-/weakly-supervised learning and vision-and-language learning.

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • PhD in Computer Science, 2021 - Now

    Johns Hopkins University

  • BEng in Computer Science, 2016 - 2021

    Tongji University


03/2023: I’m looking for a summer research intern position in 2023, please contact me if you have positions available and think I’m a good match.

03/20/2022: I will join AWS as an applied scientist intern this summer.


(2023). MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. In ICLR 2023.

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(2022). Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. In CVPR 2022.

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(2022). PartImageNet: A Large, High-Quality Dataset of Parts. In ECCV 2022.

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(2021). Robust Instance Segmentation through Reasoning about Multi-Object Occlusion. In CVPR 2021.

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(2020). NeuroBiometric: An eye blink based biometric authentication system using an event-based neuromorphic vision sensor. In IEEE/CAA Journal of Automatica Sinica.

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