RTL-to-GDS Tool Flow and Design-for-Test Solutions for Monolithic 3D ICs. - Heechun Park; Kyungwook Chang; Bon Woong Ku; Jinwoo Kim; Edward Lee; Daehyun Kim 002; Arjun Chaudhuri; Sanmitra Banerjee; Saibal Mukhopadhyay; Krishnendu Chakrabarty; Sung Kyu Lim (DAC, 2019)

Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. - Yun Long; Edward Lee; Daehyun Kim 002; Saibal Mukhopadhyay (DAC, 2020)

Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. - Yun Long; Edward Lee; Daehyun Kim 002; Saibal Mukhopadhyay (IJCNN, 2020)

SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. - Xueyuan She; Priyabrata Saha; Daehyun Kim 002; Yun Long; Saibal Mukhopadhyay (IJCNN, 2020)

Advances in Design and Test of Monolithic 3-D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Heechun Park; Jinwoo Kim; Gauthaman Murali; Edward Lee; Daehyun Kim 002; Sung Kyu Lim; Saibal Mukhopadhyay; Krishnendu Chakrabarty (IEEE Des. Test, 2020)

Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. - Beomseok Kang; Anni Lu; Yun Long; Daehyun Kim 002; Shimeng Yu; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

ScieNet: Deep learning with spike-assisted contextual information extraction. - Xueyuan She; Yun Long; Daehyun Kim 002; Saibal Mukhopadhyay (Pattern Recognit., 2021)

Processing in memory architecture for neural networks and on-chip learning acceleration. - Daehyun Kim 002 (2023)

Multi-Tier 3D SRAM Module Design: Targeting Bit-Line and Word-Line Folding. - Aditya Sridharan Iyer; Daehyun Kim 002; Saibal Mukhopadhyay; Sung Kyu Lim (ICCAD, 2024)

PRESTO: A Processing-in-Memory-Based k-SAT Solver Using Recurrent Stochastic Neural Network With Unsupervised Learning. - Daehyun Kim 002; Nael Mizanur Rahman; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2024)