Energy-optimal voltage model supporting a wide range of nodal switching rates for early design-space exploration. - Doyun Kim; Jiangyi Li; Mingoo Seok (ICCD, 2015)

14.7 In-situ techniques for in-field sensing of NBTI degradation in an SRAM register file. - Teng Yang; Doyun Kim; Peter R. Kinget; Mingoo Seok (ISSCC, 2015)

Comparative study of command and control structure between rok and us field artillery battalion. - Ahram Kang; Doyun Kim; Junseok Lee 001; Jang Won Bae; Il-Chul Moon (WSC, 2015)

EMSSIM: emergency medical service simulator with geographic and medical details. - Il-Chul Moon; Jang Won Bae; Junseok Lee 001; Doyun Kim; Hyun-Rok Lee; Taesik Lee; Won Chul Cha; Ju-Hyun Kim; Gi Woon Kim (WSC, 2015)

8.2 Fully integrated low-drop-out regulator based on event-driven PI control. - Doyun Kim; Mingoo Seok (ISSCC, 2016)

Comparative study and optimization of synchronous and asynchronous comparators at near-threshold voltages. - Sung Justin Kim; Doyun Kim; Mingoo Seok (ISLPED, 2017)

20.6 A 0.5V-VIN 1.44mA-class event-driven digital LDO with a fully integrated 100pF output capacitor. - Doyun Kim; Jonghwan Kim; Hyunju Ham; Mingoo Seok (ISSCC, 2017)

A Fully Integrated Digital Low-Dropout Regulator Based on Event-Driven Explicit Time-Coding Architecture. - Doyun Kim; Mingoo Seok (IEEE J. Solid State Circuits, 2017)

MRPrimerV: a database of PCR primers for RNA virus detection. - Hyerin Kim; NaNa Kang; Kyuhyeon An; Doyun Kim; Jae Hyung Koo; Min-Soo Kim 002 (Nucleic Acids Res., 2017)

Recent advances in in-situ and in-field aging monitoring and compensation for integrated circuits: Invited paper. - Mingoo Seok; Peter R. Kinget; Teng Yang; Jiangyi Li; Doyun Kim (IRPS, 2018)

0.5V-VIN, 165-MA/MM2 Fully-Integrated Digital LDO Based on Event-Driven Self-Trisuerina Control. - Doyun Kim; Sung Kim; Mingoo Seok; Hyunju Ham; Jongwhan Kim (VLSI Circuits, 2018)

Convolutional Neural Network Quantization using Generalized Gamma Distribution. - Doyun Kim; Hanyoung Yim; Sanghyuck Ha; Changgwun Lee; Inyup Kang (CoRR, 2018)

In Situ and In-Field Technique for Monitoring and Decelerating NBTI in 6T-SRAM Register Files. - Teng Yang; Doyun Kim; Jiangyi Li; Peter R. Kinget; Mingoo Seok (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Improving counterfire operations with enhanced command and control structure. - Su-Jin Shin; Ahram Kang; Doyun Kim; Junseok Lee 001; Jang Won Bae; Il-Chul Moon (Comput. Math. Organ. Theory, 2019)

A Simple Method to Reduce Off-chip Memory Accesses on Convolutional Neural Networks. - Doyun Kim; Kyoung-Young Kim; Sangsoo Ko; Sanghyuck Ha (CoRR, 2019)

Evaluation of Low-Voltage SRAM for Error-Resilient Augmented Reality Applications. - Tony F. Wu; Doyun Kim; Daniel H. Morris; Edith Beigné (SiPS, 2021)

System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars. - Huseyin Ekin Sumbul; Tony F. Wu; Yuecheng Li; Syed Shakib Sarwar; William Koven; Eli Murphy-Trotzky; Xingxing Cai; Elnaz Ansari; Daniel H. Morris; Huichu Liu; Doyun Kim; Edith Beigné (CICC, 2022)

A scalable artificial intelligence platform that automatically finds copy number variations (CNVs) in journal articles and transforms them into a database: CNV extraction, transformation, and loading AI (CNV-ETLAI). - Jongmun Choi; Soomin Jeon; Doyun Kim; Michelle Chua; Synho Do (Comput. Biol. Medicine, 2022)

Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data. - Doyun Kim; Tae-Young Heo (Sensors, 2022)

TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer. - Doyun Kim; Jaemin Park; Youngmin Oh; Bosun Hwang (DAC, 2024)

CRONuS: Circuit Rapid Optimization with Neural Simulator. - Youngmin Oh; Doyun Kim; Yoon Hyeok Lee; Bosun Hwang (DATE, 2024)