Algorithm-Aware Neural Network Based Image Compression for High-Speed Imaging. - Reid Pinkham; Tanner Schmidt; Andrew Berkovich (AIVR, 2020)

QuickNN: Memory and Performance Optimization of k-d Tree Based Nearest Neighbor Search for 3D Point Clouds. - Reid Pinkham; Shuqing Zeng; Zhengya Zhang (HPCA, 2020)

Near-Sensor Distributed DNN Processing for Augmented and Virtual Reality. - Reid Pinkham; Andrew Berkovich; Zhengya Zhang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation. - Jorge Gomez 001; Saavan Patel; Syed Shakib Sarwar; Ziyun Li; Raffaele Capoccia; Zhao Wang; Reid Pinkham; Andrew Berkovich; Tsung-Hsun Tsai; Barbara De Salvo; Chiao Liu (CoRR, 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)

ANSA: Adaptive Near-Sensor Architecture for Dynamic DNN Processing in Compact Form Factors. - Reid Pinkham; Jack Erhardt; Barbara De Salvo; Andrew Berkovich; Zhengya Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

SteROI-D: System Design and Mapping for Stereo Depth Inference on Regions of Interest. - Jack Erhardt; Ziang Li; Reid Pinkham; Andrew Berkovich; Zhengya Zhang (CoRR, 2025)