A 65nm 236.5nJ/Classification Neuromorphic Processor with 7.5% Energy Overhead On-Chip Learning Using Direct Spike-Only Feedback. - Jeongwoo Park; Juyun Lee; Dongsuk Jeon (ISSCC, 2019)

Power-up control techniques for reliable SRAM PUF. - Juyun Lee; Dong-Woo Jee; Dongsuk Jeon (IEICE Electron. Express, 2019)

A 65-nm Neuromorphic Image Classification Processor With Energy-Efficient Training Through Direct Spike-Only Feedback. - Jeongwoo Park; Juyun Lee; Dongsuk Jeon (IEEE J. Solid State Circuits, 2020)

TCP: A Tensor Contraction Processor for AI Workloads Industrial Product. - Hanjoon Kim; Younggeun Choi; Junyoung Park; Byeongwook Bae; Hyunmin Jeong; Sang Min Lee 014; Jeseung Yeon; Minho Kim; Changjae Park; Boncheol Gu; Changman Lee; Jaeick Bae; et al. (ISCA, 2024)

16.2 RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models. - Sang Min Lee; Hanjoon Kim; Jeseung Yeon; Minho Kim; Changjae Park; Byeongwook Bae; Yojung Cha; Wooyoung Choe; Jonguk Choi; Younggeun Choi; Ki Jin Han; Seokha Hwang; et al. (ISSCC, 2025)