Android Malware Detection Based on Useful API Calls and Machine Learning. - Jaemin Jung; Hyun-Jin Kim; Dongjin Shin; Myeonggeon Lee; Hyunjae Lee; Seong-je Cho; Kyoungwon Suh (AIKE, 2018)

A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput. - Seungjae Lee 001; Chulbum Kim; Minsu Kim 004; Sung-Min Joe; Joonsuc Jang; Seungbum Kim; Kangbin Lee; Jisu Kim; Jiyoon Park; Hanjun Lee; Min-Seok Kim; Seonyong Lee; et al. (ISSCC, 2018)

AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features. - Masoud Reyhani Hamedani; Dongjin Shin; Myeonggeon Lee; Seong-je Cho; Changha Hwang (Wirel. Commun. Mob. Comput., 2018)

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Byung-Gon Chun (NSDI, 2019)

Stage-based Hyper-parameter Optimization for Deep Learning. - Ahnjae Shin; Dongjin Shin; Sungwoo Cho; Do Yoon Kim; Eunji Jeong; Gyeong-In Yu; Byung-Gon Chun (CoRR, 2019)

Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Taebum Kim; Byung-Gon Chun (ACM SIGOPS Oper. Syst. Rev., 2019)

ViT-slice: End-to-end Vision Transformer Accelerator with Bit-slice Algorithm. - Dongjin Shin; Insu Choi; Joon-Sung Yang (DAC, 2024)

13.3 A 280-Layer 1Tb 4b/cell 3D-NAND Flash Memory with a 28.5Gb/mm2 Areal Density and a 3.2GB/s High-Speed IO Rate. - Wontaeck Jung; Hyunggon Kim; Do-Bin Kim; Tae-Hyun Kim; Nam-Hee Lee; Dongjin Shin; Minyoung Kim; Youngsik Rho; Hun-Jong Lee; Yujin Hyun; Jaeyoung Park; Taekyung Kim; et al. (ISSCC, 2024)