Effective zero compression on ReRAM-based sparse DNN accelerators. - Hoon Shin; Rihae Park; Seung Yul Lee; Yeonhong Park; Hyunseung Lee 001; Jae W. Lee (DAC, 2022)

A 40nm 5.6TOPS/W 239GOPS/mm2 Self-Attention Processor with Sign Random Projection-based Approximation. - Seong Hoon Seo; Soosung Kim 001; Sung Jun Jung; Sangwoo Kwon; Hyunseung Lee 001; Jae W. Lee (ESSCIRC, 2022)

ANNA: Specialized Architecture for Approximate Nearest Neighbor Search. - Yejin Lee 001; Hyunji Choi; Sunhong Min; Hyunseung Lee 001; Sangwon Beak; Dawoon Jeong; Jae W. Lee; Tae Jun Ham (HPCA, 2022)

A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression. - Hyunseung Lee 001; Jihoon Hong; Soosung Kim 001; Seung Yul Lee; Jae W. Lee (DAC, 2023)

ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks. - Soosung Kim 001; Yeonhong Park; Hyunseung Lee 001; Sungchan Yi; Jae W. Lee (ACCV (8), 2024)

Real-Time Ultrasound Imaging System for Drone and Robotic Applications. - Jinhong Ahn; Silin Chen; Junwei Feng; Hyunseung Lee 001; Junbeom Park; Hyoungjoon Kim; Jerald Yoo (ISOCC, 2024)

VGA: Hardware Accelerator for Scalable Long Sequence Model Inference. - Seung Yul Lee; Hyunseung Lee 001; Jihoon Hong; SangLyul Cho; Jae W. Lee (MICRO, 2024)