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Wenzhe Guo
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2020 – today
- 2024
- [j4]Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Supervised Local Training With Backward Links for Deep Neural Networks. IEEE Trans. Artif. Intell. 5(2): 854-867 (2024) - [j3]Wenzhe Guo, Kuilian Yang, Haralampos-G. Stratigopoulos, Hassan Aboushady, Khaled Nabil Salama:
An End-To-End Neuromorphic Radio Classification System With an Efficient Sigma-Delta-Based Spike Encoding Scheme. IEEE Trans. Artif. Intell. 5(4): 1869-1881 (2024) - [c2]Joyjit Kundu, Wenzhe Guo, Ali BanaGozar, Udari De Alwis, Sourav Sengupta, Puneet Gupta, Arindam Mallik:
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. IISWC 2024: 57-67 - [i3]Joyjit Kundu, Wenzhe Guo, Ali BanaGozar, Udari De Alwis, Sourav Sengupta, Puneet Gupta, Arindam Mallik:
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. CoRR abs/2407.14645 (2024) - 2022
- [j2]Wenzhe Guo, Hasan Erdem Yantir, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3988-4002 (2022) - [j1]Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1642-1653 (2022) - [c1]Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks. AICAS 2022: 387-390 - [i2]Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time. CoRR abs/2201.07210 (2022) - [i1]Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled N. Salama:
BackLink: Supervised Local Training with Backward Links. CoRR abs/2205.07141 (2022)
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