Animal-Robot Interaction for pet caring. - Jong-Hwan Kim 001; Seung-Hwan Choi; Duckhwan Kim 001; Joonwoo Kim; Minjoo Cho (CIRA, 2009)

Pulsed-latch ASIC synthesis in industrial design flow. - Sangmin Kim; Duckhwan Kim 001; Youngsoo Shin (ASP-DAC, 2013)

On the Design of Reliable 3D-ICs Considering Charged Device Model ESD Events During Die Stacking. - Duckhwan Kim 001; Saibal Mukhopadhyay (DAC, 2014)

HAPL: Heterogeneous Array of Programmable Logic Using Selective Mask Patterning. - Youngsoo Shin; Insup Shin; Donkyu Baek; Duckhwan Kim 001; Seungwhun Paik (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (ISLPED, 2015)

On the Impact of Energy-Accuracy Tradeoff in a Digital Cellular Neural Network for Image Processing. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory. - Duckhwan Kim 001; Jaeha Kung; Sek M. Chai; Sudhakar Yalamanchili; Saibal Mukhopadhyay (ISCA, 2016)

Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (ISLPED, 2016)

Partitioning Methods for Interface Circuit of Heterogeneous 3-D-ICs Under Process Variation. - Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Adaptive weight compression for memory-efficient neural networks. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Jaeha Kung; Saibal Mukhopadhyay (DATE, 2017)

A Programmable Hardware Accelerator for Simulating Dynamical Systems. - Jaeha Kung; Yun Long; Duckhwan Kim 001; Saibal Mukhopadhyay (ISCA, 2017)

Energy-efficient neural image processing for Internet-of-Things edge devices. - Jong Hwan Ko; Yun Long; Mohammad Faisal Amir; Duckhwan Kim 001; Jaeha Kung; Taesik Na; Amit Ranjan Trivedi; Saibal Mukhopadhyay (MWSCAS, 2017)

NeuroTrainer: An Intelligent Memory Module for Deep Learning Training. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (CoRR, 2017)

A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing. - Duckhwan Kim 001; Jaeha Kung; Saibal Mukhopadhyay (IEEE Trans. Emerg. Top. Comput., 2017)

DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Adaptive Precision Cellular Nonlinear Network. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Heterogeneous integration for artificial intelligence: Challenges and opportunities. - Saibal Mukhopadhyay; Yun Long; Burhan Ahmad Mudassar; C. S. Nair; Bartlet H. DeProspo; Hakki Mert Torun; M. Kathaperumal; V. Smet; Duckhwan Kim 001; Sudhakar Yalamanchili; Madhavan Swaminathan (IBM J. Res. Dev., 2019)

Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Neurocube: Energy-Efficient Programmable Digital Deep Learning Accelerator based on Processor in Memory Platform. - Duckhwan Kim 001 (2019)