Stochastic Learning with Back Propagation. - Guhyun Kim; Cheol Seong Hwang; Doo Seok Jeong (ISCAS, 2019)

Combination-Encoding Content-Addressable Memory With High Content Density. - Guhyun Kim; Vladimir Kornijcuk; Jeeson Kim; Dohun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2019)

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units. - Guhyun Kim; Vladimir Kornijcuk; Dohun Kim; Inho Kim; Jaewook Kim; Hyo Cheon Woo; Ji-Hun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2019)

Optimal Distribution of Spiking Neurons Over Multicore Neuromorphic Processors. - Guhyun Kim; Vladimir Kornijcuk; Jeeson Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2020)

Simplified calcium signaling cascade for synaptic plasticity. - Vladimir Kornijcuk; Dohun Kim; Guhyun Kim; Doo Seok Jeong (Neural Networks, 2020)

CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method. - Guhyun Kim; Doo Seok Jeong (NeurIPS, 2021)

eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks. - Dohun Kim; Guhyun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2021)

System Architecture and Software Stack for GDDR6-AiM. - Yongkee Kwon; Kornijcuk Vladimir; Nahsung Kim; Woojae Shin; Jongsoon Won; Minkyu Lee; Hyunha Joo; Haerang Choi; Guhyun Kim; Byeongju An; Jeongbin Kim 001; Jaewook Lee; et al. (HCS, 2022)

Memory-Centric Computing with SK Hynix's Domain-Specific Memory. - Yongkee Kwon; Guhyun Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2023)

A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. - Dae-Han Kwon; Seongju Lee; Kyuyoung Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dongyoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; et al. (IEEE J. Solid State Circuits, 2023)

IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System. - Minseok Seo; Xuan Truong Nguyen; Seok Joong Hwang; Yongkee Kwon; Guhyun Kim; Chanwook Park; Ilkon Kim; Jaehan Park; Jeongbin Kim 001; Woojae Shin; Jongsoon Won; Haerang Choi; et al. (ASPLOS (3), 2024)

SK Hynix AI-Specific Computing Memory Solution: From AiM Device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference. - Guhyun Kim; Jinkwon Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2024)

LauWS: Local Adaptive Unstructured Weight Sparsity of Load Balance for DNN in Near-Data Processing. - Zixu Li; Wang Wang; Xin Zhong; Manni Li; Jiayu Yang; Yinyin Lin; Guhyun Kim; Yosub Song; Chengchen Wang; Xiankui Xiong (ISCAS, 2024)

Cost-Effective LLM Accelerator Using Processing in Memory Technology. - Hyungdeok Lee; Guhyun Kim; Dayeon Yun; Ilkon Kim; Yongkee Kwon; Euicheol Lim (VLSI Technology and Circuits, 2024)

LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System. - Hyucksung Kwon; Kyungmo Koo; Janghyeon Kim; Woongkyu Lee; Minjae Lee; Hyungdeok Lee; Yousub Jung; Jaehan Park; Yosub Song; Byeongsu Yang; Haerang Choi; Guhyun Kim; et al. (CoRR, 2024)