Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. - Taha Soliman; Amro Eldebiky; Cecilia De la Parra; Andre Guntoro; Norbert Wehn (SOCC, 2022)

CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. - Amro Eldebiky; Grace Li Zhang; Georg Böcherer; Bing Li 005; Ulf Schlichtmann (DATE, 2023)

Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test. - Amro Eldebiky; Grace Li Zhang; Bing Li 005 (DATE, 2023)

NearUni: Near-Unitary Training for Efficient Optical Neural Networks. - Amro Eldebiky; Bing Li 005; Grace Li Zhang (ICCAD, 2023)

Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory. - Jiaao Yu; Paul-Philipp Manea; Sara Ameli; Mohammad Hizzani; Amro Eldebiky; John Paul Strachan (MetroXRAINE, 2023)

Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing. - Amro Eldebiky; Georg Böcherer; Maximilian Schädler; Stefano Calabrò; Bing Li 005; Ulf Schlichtmann (OFC, 2023)

Class-Aware Pruning for Efficient Neural Networks. - Mengnan Jiang; Jingcun Wang; Amro Eldebiky; Xunzhao Yin; Cheng Zhuo; Ing-Chao Lin; Grace Li Zhang (DATE, 2024)

OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. - Ruidi Qiu; Amro Eldebiky; Grace Li Zhang; Xunzhao Yin; Cheng Zhuo; Ulf Schlichtmann; Bing Li 005 (DATE, 2024)

BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. - Amro Eldebiky; Grace Li Zhang; Xunzhao Yin; Cheng Zhuo; Ing-Chao Lin; Ulf Schlichtmann; Bing Li 005 (ICCAD, 2024)

CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation. - Amro Eldebiky; Grace Li Zhang; Georg Böcherer; Bing Li 005; Ulf Schlichtmann (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

An Efficient General-Purpose Optical Accelerator for Neural Networks. - Sijie Fei; Amro Eldebiky; Grace Li Zhang; Bing Li 005; Ulf Schlichtmann (ASP-DAC, 2025)