Chenglin Yang

Chenglin Yang

Ph.D. Student in Computer Science

Johns Hopkins University

I am currently a fourth-year CS Ph.D. student at Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan Yuille.

I received my M.S. in Robotics from Johns Hopkins University. Before that, I obtained my B.E. in Engineering Mechanics from Beijing Jiaotong University, where I was honored to work with Changjiang Distinguished Professor Yue-Sheng Wang . I will never forget the time spent in Mechanics which taught me to be grateful and concentrate.

I am currently a Research Intern at Google DeepMind. I have spent great time at Google and Adobe.

My Chinese name is 杨程麟.

  • Computer Vision
  • Vision Language Model
  • Neural Network Architecture
  • Reinforcement Learning
  • Knowledge Distillation
  • Ph.D. in Computer Science

    Johns Hopkins University, 2019 - Now

  • M.S. in Robotics

    Johns Hopkins University, 2017 - 2019

  • B.E. in Engineering Mechanics

    Beijing Jiaotong University, 2013 - 2017


(2023). IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers. In arXiv23.


(2022). MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. In ICLR23.

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(2022). Lite Vision Transformer with Enhanced Self-Attention. In CVPR22.

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(2020). PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. In ECCV20.

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(2019). Snapshot Distillation: Teacher-Student Optimization in One Generation. In CVPR19.


(2019). Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. In AAAI19.