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Pei Yu

  1. Power Stabilization for AI Training Datacenters
    2025/08/20 by Esha Choukse, Choukse, Esha, Brijesh Warrier +120 · 7 voices · 11 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Cloud Computing and Resource Management #Graph Theory and Algorithms
  2. Correlated sensing with a solid-state quantum multi-sensor system for atomic-scale structural analysis
    2024/01/04 by Wentao Ji, Zhaoxin Liu, Ji, Wentao +23 · 8 citations
    Materials Science · Physics and Astronomy · #Electronic and Structural Properties of Oxides #Diamond and Carbon-based Materials Research #Force Microscopy Techniques and Applications
  3. Sub-nanotesla Sensitivity at the Nanoscale with a Single Spin
    2022/05/09 by Zhiyuan Zhao, Xiangyu Ye, Zhao, Zhiyuan +17 · 4 citations
    Materials Science · Earth and Planetary Sciences · #Diamond and Carbon-based Materials Research #Electronic and Structural Properties of Oxides #High-pressure geophysics and materials
  4. Self-aligned patterning technique for fabricating high-performance diamond sensor arrays with nanoscale precision
    2022/03/17 by Mengqi Wang, Wang, Mengqi, Haoyu Sun +17 · 2 citations
    Engineering · Materials Science · #Advanced Surface Polishing Techniques #Diamond and Carbon-based Materials Research #Photonic and Optical Devices
  5. Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
    2019/11/17 by Fuxun Yu, Di Wang, Yu, Fuxun +14 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  6. Improving Vision Transformers for Incremental Learning
    2021/12/12 by Pei Yu, Yinpeng Chen, Yu, Pei +5 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM