| Edge and fog computing enabled AI for IoT-an overview Z Zou, Y Jin, P Nevalainen, Y Huan, J Heikkonen, T Westerlund 2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019 | 89 | 2019 |
| Communication-efficient distributed AI strategies for the IoT edge C Mwase, Y Jin, T Westerlund, H Tenhunen, Z Zou Future Generation Computer Systems 131, 292-308, 2022 | 31 | 2022 |
| Self-aware distributed deep learning framework for heterogeneous IoT edge devices Y Jin, J Cai, J Xu, Y Huan, Y Yan, B Huang, Y Guo, L Zheng, Z Zou Future Generation Computer Systems 125, 908-920, 2021 | 22 | 2021 |
| Backpropagation with sparsity regularization for spiking neural network learning Y Yan, H Chu, Y Jin, Y Huan, Z Zou, L Zheng Frontiers in Neuroscience 16, 760298, 2022 | 18 | 2022 |
| Base-reconfigurable segmented logarithmic quantization and hardware design for deep neural networks J Xu, Y Huan, Y Jin, H Chu, LR Zheng, Z Zou Journal of Signal Processing Systems 92 (11), 1263-1276, 2020 | 11 | 2020 |
| Edge-based collaborative training system for artificial intelligence-of-things Y Jin, B Huang, Y Yan, Y Huan, J Xu, S Li, P Gope, L Da Xu, Z Zou, ... IEEE Transactions on Industrial Informatics 18 (10), 7162-7173, 2022 | 10 | 2022 |
| A memristor model with concise window function for spiking brain-inspired computation J Xu, D Wang, F Li, L Zhang, D Stathis, Y Yang, Y Jin, A Lansner, ... 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 10 | 2021 |
| Graph-based spatio-temporal backpropagation for training spiking neural networks Y Yan, H Chu, X Chen, Y Jin, Y Huan, L Zheng, Z Zou 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 9 | 2021 |
| A memory-efficient CNN accelerator using segmented logarithmic quantization and multi-cluster architecture J Xu, Y Huan, B Huang, H Chu, Y Jin, LR Zheng, Z Zou IEEE Transactions on Circuits and Systems II: Express Briefs 68 (6), 2142-2146, 2020 | 9 | 2020 |
| Energy-aware workload allocation for distributed deep neural networks in edge-cloud continuum Y Jin, J Xu, Y Huan, Y Yan, L Zheng, Z Zou 2019 32nd IEEE International System-on-Chip Conference (SOCC), 213-217, 2019 | 6 | 2019 |
| TMR group coding method for optimized SEU and MBU tolerant memory design Y Jin, Y Huan, H Chu, Z Zou, L Zheng 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 6 | 2018 |
| A neuromorphic processing system for low-power wearable ECG classification H Chu, H Jia, Y Yan, Y Jin, L Qian, L Gan, Y Huan, L Zheng, Z Zou 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2021 | 5 | 2021 |
| Designing bio-inspired autonomous error-tolerant massively parallel computing architectures L Liu, Y Jin, Y Liu, N Ma, Z Zou, L Zheng 2017 30th IEEE International System-on-Chip Conference (SOCC), 274-279, 2017 | 4 | 2017 |
| A design of autonomous error-tolerant architectures for massively parallel computing L Liu, Y Jin, Y Liu, N Ma, Y Huan, Z Zou, L Zheng IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (10 …, 2018 | 3 | 2018 |
| DAI-NET: Toward communication-aware collaborative training for the industrial edge C Mwase, Y Jin, T Westerlund, H Tenhunen, Z Zou Future Generation Computer Systems 155, 193-203, 2024 | | 2024 |
| Self-aware Collaborative Edge Inference with Embedded Devices for Task-oriented IIoT Y Chen, Z Yu, C Mwase, Y Jin, X Hu, L Zheng, Z Zou 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-5, 2023 | | 2023 |
| Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services J Yu, C Ding, H Li, Y Jin, Y Li 2023 IEEE International Conference on Web Services (ICWS), 170-178, 2023 | | 2023 |
| A Power management scheme for wirelessly-powered RFID tags with inkjet-printed display Y Jin, J Shen, MB Nejad, L Xie, Z Zou, J Mao, H Tenhunen, L Zheng 2017 IEEE International Conference on RFID Technology & Application (RFID-TA …, 2017 | | 2017 |
Zhuo ZouFudan University | KTH SwedenDirección de correo verificada de kth.se
