Noise-induced transitions in slow wave neuronal dynamics. - Sukbin Lim; John Rinzel (J. Comput. Neurosci., 2010)

Noise Tolerance of Attractor and Feedforward Memory Models. - Sukbin Lim; Mark S. Goldman (Neural Comput., 2012)

T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training. - Jaehoon Heo; Junsoo Kim 002; Wontak Han; Sukbin Lim; Joo-Young Kim 001 (CICC, 2022)

Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training. - Wontak Han; Jaehoon Heo; Junsoo Kim 002; Sukbin Lim; Joo-Young Kim 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Unsupervised learning for robust working memory. - Jintao Gu; Sukbin Lim (PLoS Comput. Biol., 2022)

JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow. - Je Yang; Sukbin Lim; Sukjin Lee; Jae-Young Kim; Joo-Young Kim 001 (ESSCIRC, 2023)

T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training. - Jaehoon Heo; Junsoo Kim 002; Sukbin Lim; Wontak Han; Joo-Young Kim 001 (IEEE J. Solid State Circuits, 2023)

ACane: An Efficient FPGA-based Embedded Vision Platform with Accumulation-as-Convolution Packing for Autonomous Mobile Robots. - Jinho Yang; Sungwoong Yune; Sukbin Lim; Donghyuk Kim; Joo-Young Kim 001 (ASPDAC, 2024)

A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection. - Sukbin Lim; Jaehoon Heo; Jinho Yang; Joo-Young Kim 001 (CICC, 2024)

LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (CoRR, 2024)

A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (IEEE Micro, 2024)

Hawkeye: A Point Cloud Neural Network Processor With Virtual Pillar and Quadtree-Based Workload Management for Real-Time Outdoor BEV Detection. - Sukbin Lim; Jaehoon Heo; Jinho Yang; Joo-Young Kim 001 (IEEE J. Solid State Circuits, 2025)