Deep Neural Network Mapping and Performance Analysis on Tiled RRAM Architecture. - Xinxin Wang 002; Qiwen Wang; Fan-Hsuan Meng; Seung Hwan Lee; Wei D. Lu (AICAS, 2020)

A Crossbar-Based In-Memory Computing Architecture. - Xinxin Wang 002; Mohammed Affan Zidan; Wei D. Lu (IEEE Trans. Circuits Syst., 2020)

Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks. - Fan-Hsuan Meng; Xinxin Wang 002; Ziyu Wang; Eric Yeu-Jer Lee; Wei D. Lu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

TAICHI: A Tiled Architecture for In-Memory Computing and Heterogeneous Integration. - Xinxin Wang 002; Reid Pinkham; Mohammed Affan Zidan; Fan-Hsuan Meng; Michael P. Flynn; Zhengya Zhang; Wei D. Lu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. - Sangmin Yoo; Eric Yeu-Jer Lee; Ziyu Wang; Xinxin Wang 002; Wei D. Lu (CoRR, 2023)

Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training. - Yuting Wu; Qiwen Wang; Ziyu Wang; Xinxin Wang 002; Buvna Ayyagari; Siddarth A. Krishnan; Michael Chudzik; Wei D. Lu (CoRR, 2023)

Training Spiking Neural Networks Using Lessons From Deep Learning. - Jason K. Eshraghian; Max Ward 001; Emre O. Neftci; Xinxin Wang 002; Gregor Lenz; Girish Dwivedi; Mohammed Bennamoun; Doo Seok Jeong; Wei D. Lu (Proc. IEEE, 2023)

PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. - Ziyu Wang; Yuting Wu; Yongmo Park; Sangmin Yoo; Xinxin Wang 002; Jason K. Eshraghian; Wei D. Lu (Adv. Intell. Syst., 2023)

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network. - Sangmnin Yoo; Eric Yeu-Jer Lee; Ziyu Wang; Xinxin Wang 002; Wei D. Lu (Adv. Intell. Syst., 2024)