Computing with coupled Spin Torque Nano Oscillators. - Karthik Yogendra; Deliang Fan; Yong Shim; Minsuk Koo; Kaushik Roy 001 (ASP-DAC, 2016)

Energy efficient computation using injection locked bias-field free spin-hall nano-oscillator array with shared heavy metal. - Karthik Yogendra; Minsuk Koo; Kaushik Roy 001 (NANOARCH, 2017)

Powerline Communication for Enhanced Connectivity in Neuromorphic Systems. - Aayush Ankit; Minsuk Koo; Shreyas Sen; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. - Minsuk Koo; Gopalakrishnan Srinivasan; Yong Shim; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks. - Amogh Agrawal; Mustafa Fayez Ali; Minsuk Koo; Nitin Rathi; Akhilesh Jaiswal 001; Kaushik Roy 001 (CoRR, 2021)

Advanced Endoscopy Imaging with Automatic Feedback. - D. M. Bappy; Donghwa Kang; Jinkyu Lee 001; Youngmoon Lee; Minsuk Koo; Hyeongboo Baek (ICPR (11), 2024)

Specular Region Detection and Covariant Feature Extraction. - D. M. Bappy; Donghwa Kang; Jinkyu Lee 001; Youngmoon Lee; Minsuk Koo; Hyeongboo Baek (ICPR (12), 2024)

Design of a 180 nm CMOS Neuron Circuit with Soft-Reset and Underflow Allowing for Loss-Less Hardware Spiking Neural Networks. - Jaesung Kim; Jung Nam Kim; Yoon Kim; Sungmin Hwang; Minsuk Koo (Adv. Intell. Syst., 2024)

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks. - Donghwa Kang; Woojin Shin; Cheol-Ho Hong; Minsuk Koo; Brent ByungHoon Kang; Jinkyu Lee 001; Hyeongboo Baek (CoRR, 2025)