Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks. - Wenzhe Guo; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled Nabil Salama (AICAS, 2022)

Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time. - Wenzhe Guo; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled Nabil Salama (CoRR, 2022)

BackLink: Supervised Local Training with Backward Links. - Wenzhe Guo; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled N. Salama (CoRR, 2022)

Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks. - Wenzhe Guo; Hasan Erdem Yantir; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled Nabil Salama (IEEE Trans. Neural Networks Learn. Syst., 2022)

Efficient Neuromorphic Hardware Through Spiking Temporal Online Local Learning. - Wenzhe Guo; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled Nabil Salama (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. - Joyjit Kundu; Wenzhe Guo; Ali BanaGozar; Udari De Alwis; Sourav Sengupta 001; Puneet Gupta; Arindam Mallik (IISWC, 2024)

Supervised Local Training With Backward Links for Deep Neural Networks. - Wenzhe Guo; Mohammed E. Fouda; Ahmed M. Eltawil; Khaled Nabil Salama (IEEE Trans. Artif. Intell., 2024)

An End-To-End Neuromorphic Radio Classification System With an Efficient Sigma-Delta-Based Spike Encoding Scheme. - Wenzhe Guo; Kuilian Yang; Haralampos-G. Stratigopoulos; Hassan Aboushady; Khaled Nabil Salama (IEEE Trans. Artif. Intell., 2024)

A System Level Performance Evaluation for Superconducting Digital Systems. - Joyjit Kundu; Debjyoti Bhattacharjee; Nathan Josephsen; Ankit Pokhrel; Udara De Silva; Wenzhe Guo; Steven Van Winckel; Steven Brebels; Quentin Herr; Anna Herr; Manu Perumkunnil (DATE, 2025)

System-performance and cost modeling of Large Language Model training and inference. - Wenzhe Guo; Joyjit Kundu; Uras Tos; Weijiang Kong; Giuliano Sisto; Timon Evenblij; Manu Perumkunnil (CoRR, 2025)