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Zhuo Zou
zhuo@fudan.edu.cn
English, Chinese, Swedish
Shanghai
Fudan University
Nursing
  • 2005 - Bachelor's Degree in Information Engineering: Beijing Institute of Technology
  • 2007 - Master's Degree in Electronic Engineering (System on Chip): Royal Institute of Technology, Sweden
  • 2012 - Ph.D. in Electronic and Computer Systems: Royal Institute of Technology, Sweden
  • Published over 130 papers in journals and conferences
  • Co-authored one English monograph
  • Holds multiple invention patents
Health Information (Research on Intelligent Chips and Systems, Application of Intelligent Electronics and IoT in Health)
  • Graph-Based Spatio-Temporal Backpropagation for Training Spiking Neural Networks, Yan Y, Chu H, Chen X, Jin Y, Huan Y, Zheng L, Zou Z, 2021
  • A Hybrid-Mode On-Chip Router for the Large-Scale FPGA-Based Neuromorphic Platform, Ding C, Huan Y X, Jia H, Yan Y L, Yang F X, Liu Z C, Shen M G, Zou Z, Zheng L R, 2022
  • A Neuromorphic Processing System for Low-Power Wearable ECG Classification, Chu H M, Jia H, Yan Y L, Jin Y, Qian L Y, Gan L J, Huan Y X, Zheng L R, Zou Z, 2021
  • IECA: An In-Execution Configuration CNN Accelerator With 30.55 GOPS/mm² Area Efficiency, Huang B, Huan Y X, Chu H M, Xu J W, Liu L Z, Zheng L R, Zou Z, 2021
  • A Memory-Efficient CNN Accelerator Using Segmented Logarithmic Quantization and Multi-Cluster Architecture, Xu J W, Huan Y X, Huang B M, Chu H M, Jin Y, Zheng L R, Zou Z, 2021
  • A Wirelessly Powered UWB RFID Sensor Tag With Time-Domain Analog-to-Information Interface, Bao D X, Zou Z, Nejad M B, Qin Y J, Zheng L R, 2018
  • A 101.4 GOPS/W reconfigurable and scalable control-centric embedded processor for domain-specific applications, Ma N, Zou Z, Lu Z, Zheng L, Huan Y, Blixt S, 2016
  • Communication-efficient distributed AI strategies for the IoT edge, Mwase C, Jin Y, Westerlund T, Tenhunen H, Zou Z, 2022
  • An IoT-Based Anti-Counterfeiting System Using Visual Features on QR Code, Yan Y L, Zou Z, Yu X, Gao Y, Zheng L R, 2021
  • Edge-Based Collaborative Training System for Artificial Intelligence-of-Things, Jin Y, Huang B, Yan Y L, Huan Y X, Xu J W, Li S C, Gope P, Xu L D, Zou Z, Zheng L R, 2022
Health Information Intelligent Chips Systems Intelligent Electronics Iot Health Research Application Distributed Intelligence Neuromorphic Chips

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