A Power management scheme for wirelessly-powered RFID tags with inkjet-printed display. - Yi Jin 007; Jue Shen; Majid Baghaei Nejad; Li Xie; Zhuo Zou; Jia Mao; Hannu Tenhunen; Lirong Zheng 001 (RFID-TA, 2017)

Designing bio-inspired autonomous error-tolerant massively parallel computing architectures. - Lizheng Liu; Yi Jin 007; Yi Liu 027; Ning Ma; Zhuo Zou; Lirong Zheng 001 (SoCC, 2017)

TMR Group Coding Method for Optimized SEU and MBU Tolerant Memory Design. - Yi Jin 007; Yuxiang Huan; Haoming Chu; Zhuo Zou; Lirong Zheng 001 (ISCAS, 2018)

A Design of Autonomous Error-Tolerant Architectures for Massively Parallel Computing. - Lizheng Liu; Yi Jin 007; Yi Liu 027; Ning Ma; Yuxiang Huan; Zhuo Zou; Lirong Zheng 001 (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Edge and Fog Computing Enabled AI for IoT-An Overview. - Zhuo Zou; Yi Jin 007; Paavo Nevalainen; Yuxiang Huan; Jukka Heikkonen; Tomi Westerlund (AICAS, 2019)

Energy-Aware Workload Allocation for Distributed Deep Neural Networks in Edge-Cloud Continuum. - Yi Jin 007; Jiawei Xu 002; Yuxiang Huan; Yulong Yan; Lirong Zheng 001; Zhuo Zou (SoCC, 2019)

Base-Reconfigurable Segmented Logarithmic Quantization and Hardware Design for Deep Neural Networks. - Jiawei Xu 002; Yuxiang Huan; Yi Jin 007; Haoming Chu; Li-Rong Zheng 001; Zhuo Zou (J. Signal Process. Syst., 2020)

A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. - Jiawei Xu 002; Deyu Wang; Feng Li 051; Lianhao Zhang; Dimitrios Stathis 001; Yu Yang; Yi Jin 007; Anders Lansner; Ahmed Hemani; Zhuo Zou; Li-Rong Zheng 001 (AICAS, 2021)

Graph-Based Spatio-Temporal Backpropagation for Training Spiking Neural Networks. - Yulong Yan; Haoming Chu; Xin Chen; Yi Jin 007; Yuxiang Huan; Lirong Zheng 001; Zhuo Zou (AICAS, 2021)

A Neuromorphic Processing System for Low-Power Wearable ECG Classification. - Haoming Chu; Hao Jia; Yulong Yan; Yi Jin 007; Liyu Qian; Leijing Gan; Yuxiang Huan; Lirong Zheng 001; Zhuo Zou (BioCAS, 2021)

Self-aware distributed deep learning framework for heterogeneous IoT edge devices. - Yi Jin 007; Jiawei Cai; Jiawei Xu 002; Yuxiang Huan; Yulong Yan; Bin Huang; Yongliang Guo; Lirong Zheng 001; Zhuo Zou (Future Gener. Comput. Syst., 2021)

A Memory-Efficient CNN Accelerator Using Segmented Logarithmic Quantization and Multi-Cluster Architecture. - Jiawei Xu 002; Yuxiang Huan; Boming Huang; Haoming Chu; Yi Jin 007; Li-Rong Zheng 001; Zhuo Zou (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Communication-efficient distributed AI strategies for the IoT edge. - Christine Mwase; Yi Jin 007; Tomi Westerlund; Hannu Tenhunen; Zhuo Zou (Future Gener. Comput. Syst., 2022)

Edge-Based Collaborative Training System for Artificial Intelligence-of-Things. - Yi Jin 007; Bin Huang; Yulong Yan; Yuxiang Huan; Jiawei Xu 002; Shancang Li; Prosanta Gope 001; Li Da Xu; Zhuo Zou; Lirong Zheng 001 (IEEE Trans. Ind. Informatics, 2022)

Self-aware Collaborative Edge Inference with Embedded Devices for Task-oriented IIoT. - Yifan Chen; Zhuoquan Yu; Christine Mwase; Yi Jin 007; Xin Hu; Lirong Zheng 001; Zhuo Zou (VTC Fall, 2023)

DAI-NET: Toward communication-aware collaborative training for the industrial edge. - Christine Mwase; Yi Jin 007; Tomi Westerlund; Hannu Tenhunen; Zhuo Zou (Future Gener. Comput. Syst., 2024)

Self-aware collaborative edge inference with embedded devices for IIoT. - Yifan Chen; Zhuoquan Yu; Yi Jin 007; Christine Mwase; Xin Hu; Li Da Xu; Zhuo Zou; Li-Rong Zheng 001 (Future Gener. Comput. Syst., 2025)