Chenyu You

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Chenyu You
Department of Electrical Engineering
Yale University

[ Google Scholar | GitHub | LinkedIn ]


I am a second-year Ph.D. student in the Department of Electrical Engineering, Yale University, where I am fortunately advised by Prof. James S. Duncan. I obtained a Master degree in Electrical Engineering from Stanford University in 2019, specializing in Artificial Intelligence (AI). While at Stanford, I have been fortunate to work with Prof. Daniel Rubin over various projects in Laboratory of Quantitative Imaging and Artificial Intelligence. Prior to that, I received my bachelor degree (with honors) in Electrical Engineering and Mathematics from Rensselaer Polytechnic Institute (RPI) in 2017. In RPI, I have worked on signal processing and machine learning under the supervision of Prof. Ge Wang.

My research interests are broadly in the area of machine learning theory and algorithms intersecting the fields of computer & medical vision, natural language processing, signal processing, and distributed systems.


  • [2021.06] Three papers accepted at Interspeech 2021.

  • [2021.05] Glad to be recognized as CVPR 2021 outstanding reviewer.

  • [2021.04] One paper accepted at IJCAI 2021 (Acceptance Rate: 13.9%).

  • [2021.03] Very proud to be recognized as Medical Physics Journal Distinguished Reviewer.

  • [2021.02] Very honored to be recognized as IEEE Transactions on Medical Imaging (TMI) Distinguished Reviewer.

  • [2021.01] Two papers accepted at IEEE-ICASSP 2021.

  • [2021.01] One paper accepted at ICLR 2021 (Spotlight).

  • [2020.10] Proud to be an Outstanding Reviewer for MICCAI 2020.

  • [2020.09] We have released all the training/testing code and pretrained models for NuSeT, a high quality Tool box for Cell Segmentation and Analysis.

  • [2020.08] One paper accepted at MICCAI-MIL3ID 2020.

  • [2020.07] One paper accepted at PLOS Computational Biology.

  • [2019.09] Three full papers accepted at Proceedings of SPIE.

  • [2019.07] We have released all the training/testing code for GAN-CIRCLE (IEEE-TMI 2020) at Github.

  • [2019.06] Our paper “Recovery of Latent Vectors and Exploration of Latent Space from StyleGAN” received the Stanford CS230 Final Project Prize, mentored by Prof. Andrew Ng.

  • [2019.06] One paper “CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)” has been formally accepted by IEEE Transactions on Medical Imaging (IEEE-TMI).

  • [2019.01] One papers accepted at Medical Physics.


  • Email: [AT] yale [DOT] edu

  • Address: 300 Cedar Street, New Haven, CT 06520-8042