Quantization Considerations of Dense Layers in Convolutional Neural Networks for Resistive Crossbar Implementation. - Lei Zhang 172; David Borggreve; Frank Vanselow; Ralf Brederlow (MOCAST, 2020)

Impact of Parasitic Wire Resistance on Accuracy and Size of Resistive Crossbars. - Lei Zhang 172; David Borggreve; Frank Vanselow; Ralf Brederlow (ISCAS, 2021)

SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. - Patrick Aichroth; Christoph Antes; Pierre Gembatzka; Holger Graf; David S. Johnson 003; Matthias Jung 001; Thomas Kämpfe; Thomas Kleinberger; Thomas Köllmer; Thomas Kuhn 001; Christoph Kutter; Jens Krüger 004; et al. (SAMOS, 2021)

A Dynamic Charge-Transfer-Based Crossbar with Low Sensitivity to Parasitic Wire-Resistance. - Pengcheng Xu 002; Lei Zhang 172; Ferdinand Pscheidl; David Borggreve; Frank Vanselow; Ralf Brederlow (ISCAS, 2022)

A FeFET In-Memory-Computing Core with Offset Cancellation for Mitigating Computational Errors. - Lei Zhang 172; Pengcheng Xu 002; David Borggreve; Frank Vanselow; Ralf Brederlow (ESSCIRC, 2023)

An Enhanced ACBC Three-Stage Amplifier Using Complementary Indirect Miller Compensation. - Johannes Weber; Lei Zhang 172; Pengcheng Xu 002; David Borggreve; Frank Vanselow; Eckhard Hennig (ICECS, 2023)