Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. - Seunghyun Park 002; Daejin Park (ICCE-TW, 2022)

Lightweighted FPGA Implementation of Even-Odd-Buffered Active Noise Canceller with On-Chip Convolution Acceleration Units. - Seunghyun Park 002; Daejin Park (ICEIC, 2023)

Tcl-based Simulation Platform for Light-weight ResNet Implementation. - Seunghyun Park 002; Dongkyu Lee; Daejin Park (ISOCC, 2023)

Integrated 3D Active Noise Cancellation Simulation and Synthesis Platform Using Tcl. - Seunghyun Park 002; Daejin Park (MCSoC, 2023)

Bit-Separable Radix-4 Booth Multiplier for Power-Efficient CNN Accelerator. - Seunghyun Park 002; Daejin Park (COOL CHIPS, 2024)

Low-Power Scalable TSPI: A Modular Off-Chip Network for Edge AI Accelerators. - Seunghyun Park 002; Daejin Park (IEEE Access, 2024)

Bit-Separable Transformer Accelerator Leveraging Output Activation Sparsity for Efficient DRAM Access. - Seunghyun Park 002; Daejin Park (HCS, 2025)

Exploiting Output Activation Sparsity Using Bit-Separable Multiplier in Convoluted Neural Network Accelerator. - Seunghyun Park 002; Daejin Park (IEEE Micro, 2026)