| A deep learning accelerator based on a streaming architecture for binary neural networks QH Vo, NL Le, F Asim, LW Kim, CS Hong IEEE Access 10, 21141-21159, 2022 | 14 | 2022 |
| An IoT hardware platform architecture for monitoring power grid systems based on heterogeneous multi-sensors PD Nguyen, HQ Vo, LN Le, SJ Eo, LW Kim Sensors 20 (21), 6082, 2020 | 6 | 2020 |
| MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree QH Vo, LT Tran, SH Bae, LW Kim, CS Hong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Runtime Testability on Autonomous System LW Kim*, QH Vo*, CS Hong IEEE Transactions on Reliability 72 (1), 274-288, 2022 | 2 | 2022 |
| Hardware platform-aware binarized neural network model optimization QH Vo, F Asim, B Alimkhanuly, S Lee, L Kim Applied Sciences 12 (3), 1296, 2022 | 2 | 2022 |
| A Deep Learning Accelerator for a Typical Binary Neural Network Layer HV Quang, LW Kim, CS Hong 한국정보과학회 학술발표논문집, 597-599, 2021 | 2 | 2021 |
| Neural processing unit for binarized neural network LW Kim, QH Vo US Patent 11,861,486, 2024 | | 2024 |
| Distribution Matching with Multi-formation Function for Dataset Distillation QH Vo, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | | 2023 |
| Distilling Training Dataset with an Improved Distribution Matching QH Vo, K Kim, CS Hong 한국정보과학회 학술발표논문집, 830-832, 2023 | | 2023 |
| Minimizing the Communication Time in Semantic Communication for Image Retrieval LX Nguyen, QH Vo, CS Hong 한국정보과학회 학술발표논문집, 1323-1325, 2023 | | 2023 |
| Integrated Optimization in Training Process for Binary Neural Network QH Vo, SH Hong, LW Kim, CS Hong 2023 International Conference on Information Networking (ICOIN), 545-548, 2023 | | 2023 |
| Deep Learning Accelerator with MAC Optimization for Binary Neural Network QH Vo, LW Kim, CS Hong 한국정보과학회 학술발표논문집, 957-959, 2022 | | 2022 |
Lok-won KimDEEPXVerified email at deepx.ai
