Zheyu Yan

College of Integrated Circuits, Zhejiang University.

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ZJU-HZ Global Sci & Tech Innov Center, Water Expo Camp

Building A03, Room 510

2118 Pinglan Road

Hangzhou, Zhejiang, China

Zheyu Yan (严哲雨) is currently an Assistant Professor (ZJUY100 Young Professor - 百人计划研究员) at the College of Integrated Circuits at Zhejiang University. Before joining ZJU, he received his Ph.D. from the University of Notre Dame in 2024 and his B.S. from Zhejiang University, Hangzhou, China, in 2019. His general research direction is hardware/software co-design for neural network accelerators. His current interests include on-device personalization for edge platforms, compute-in-memory neural accelerators, and AI-assisted EDA. He received the Best Paper Award at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2023 and a Best Paper Award nomination at ICCAD 2024.

He has openings for highly motivated prospective Master & Ph.D. students and Research Assistants with backgrounds in microelectronics, electronic engineering, information science, computer science and engineering, or other related fields. Please contact him with your CV and transcript if you’re interested.

News

Oct 27, 2024 Zheyu Yan received the Best Paper Award Nomination in ICCAD 2024.
Oct 30, 2023 Zheyu Yan won the Best Paper Award in ICCAD 2023.

Selected Publications

  1. C7
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    SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators
    Zheyu Yan, Xiaobo Sharon Hu, and Yiyu Shi
    2022 59th ACM/IEEE Design Automation Conference (DAC), 2022
  2. C9
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    Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise
    Zheyu Yan, Yifan Qin, Xiaobo Sharon Hu, and 1 more author
    2023 International Conference on Computer-Aided Design (ICCAD), 2023
  3. J6
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    Hardware Design and the Fairness of A Neural Network
    Yuanbo Guo*Zheyu Yan*, Xiaoting Yu, and 6 more authors
    Nature Electronics, 2024
  4. J5
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    Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections
    Zheyu Yan, Xiaobo Sharon Hu, and Yiyu Shi
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024