| HNPU-V1: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching D Han, HJ Yoo On-Chip Training NPU-Algorithm, Architecture and SoC Design, 121-161, 2023 | 51 | 2023 |
| A 0.95 mJ/frame DNN training processor for robust object detection with real-world environmental adaptation D Han, D Im, G Park, Y Kim, S Song, J Lee, HJ Yoo 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 4 | 2022 |
| A 49.5 mW multi-scale linear quantized online learning processor for real-time adaptive object detection S Song, S Kim, G Park, D Han, HJ Yoo IEEE Transactions on Circuits and Systems II: Express Briefs 69 (5), 2443-2447, 2022 | 3 | 2022 |
| HNPU-V2: A 46.6 FPS DNN Training Processor for Real-World Environmental Adaptation based Robust Object Detection on Mobile Devices. D Han, D Im, G Park, Y Kim, S Song, J Lee, HJ Yoo HCS, 1-18, 2022 | 2 | 2022 |
| A dnn training processor for robust object detection with real-world environmental adaptation D Han, D Im, G Park, Y Kim, S Song, J Lee, HJ Yoo 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 2 | 2022 |
| A mobile DNN training processor with automatic bit precision search and fine-grained sparsity exploitation D Han, D Im, G Park, Y Kim, S Song, J Lee, HJ Yoo IEEE Micro 42 (2), 16-25, 2021 | 2 | 2021 |
| 20.8 Space-Mate: A 303.5 mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing G Park, S Song, H Sang, D Im, D Han, S Kim, H Lee, HJ Yoo 2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 374-376, 2024 | 1 | 2024 |
| GPPU: A 330.4-μJ/task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation S Song, D Han, S Kim, S Kim, G Park, HJ Yoo 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2023 | 1 | 2023 |
| A Low-power and Real-time Neural-Rendering Dense SLAM Processor with 3-Level Hierarchical Sparsity Exploitation G Park, S Song, H Sang, D Im, D Han, S Kim, H Lee, HJ Yoo 2024 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2024 | | 2024 |
| An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation D Han, D Im, G Park, Y Kim, S Song, J Lee, HJ Yoo 2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2021 | | 2021 |
