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Lok-Won Kim
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2020 – today
- 2023
- [j15]Lok-Won Kim, Quang Hieu Vo, Choong Seon Hong:
Runtime Testability on Autonomous System. IEEE Trans. Reliab. 72(1): 274-288 (2023) - [c2]Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong:
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. ICCV 2023: 6068-6077 - [c1]Quang Hieu Vo, Sang Hoon Hong, Lok-Won Kim, Choong Seon Hong:
Integrated Optimization in Training Process for Binary Neural Network. ICOIN 2023: 545-548 - [i1]Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong:
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. CoRR abs/2308.13735 (2023) - 2022
- [j14]Quang Hieu Vo, Linh Ngoc Le, Faaiz Asim, Lok-Won Kim, Choong Seon Hong:
A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks. IEEE Access 10: 21141-21159 (2022) - 2020
- [j13]Muhammad Salman Ali, Md. Tauhid Bin Iqbal, Kang-Ho Lee, Abdul Muqeet, Seunghyun Lee, Lokwon Kim, Sung-Ho Bae:
ERDNN: Error-Resilient Deep Neural Networks With a New Error Correction Layer and Piece-Wise Rectified Linear Unit. IEEE Access 8: 158702-158711 (2020) - [j12]Sung-Ho Bae, Jae-Hyeong Bae, Abdul Muqeet, Mst. Sirazam Monira, Lokwon Kim:
Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion. IEEE Access 8: 224383-224393 (2020) - [j11]Phuoc Duc Nguyen, Quang Hieu Vo, Linh Ngoc Le, SeokJin Eo, Lokwon Kim:
An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors. Sensors 20(21): 6082 (2020)
2010 – 2019
- 2019
- [j10]Madyan Alsenwi, Ibrar Yaqoob, Shashi Raj Pandey, Yan Kyaw Tun, Anupam Kumar Bairagi, Lok-Won Kim, Choong Seon Hong:
Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach. IEEE Access 7: 110023-110034 (2019) - 2018
- [j9]Lok-Won Kim:
DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1441-1453 (2018) - 2015
- [j8]Jaeyong Chung, Lok-Won Kim:
Bit-Width Optimization by Divide-and-Conquer for Fixed-Point Digital Signal Processing Systems. IEEE Trans. Computers 64(11): 3091-3101 (2015) - [j7]Lok-Won Kim, Dong-U Lee, John D. Villasenor:
Automated Iterative Pipelining for ASIC Design. ACM Trans. Design Autom. Electr. Syst. 20(2): 28:1-28:24 (2015) - [j6]Lok-Won Kim, John D. Villasenor:
Dynamic Function Verification for System on Chip Security Against Hardware-Based Attacks. IEEE Trans. Reliab. 64(4): 1229-1242 (2015) - 2014
- [j5]Lok-Won Kim, John D. Villasenor:
Dynamic Function Replacement for System-on-Chip Security in the Presence of Hardware-Based Attacks. IEEE Trans. Reliab. 63(2): 661-675 (2014) - [j4]Lok-Won Kim, Sameh W. Asaad, Ralph Linsker:
A Fully Pipelined FPGA Architecture of a Factored Restricted Boltzmann Machine Artificial Neural Network. ACM Trans. Reconfigurable Technol. Syst. 7(1): 5:1-5:23 (2014) - 2012
- [j3]Dong-U Lee, Lok-Won Kim, John D. Villasenor:
Precision-Aware Self-Quantizing Hardware Architectures for the Discrete Wavelet Transform. IEEE Trans. Image Process. 21(2): 768-777 (2012) - 2011
- [j2]Lok-Won Kim, John D. Villasenor:
A System-On-Chip Bus Architecture for Thwarting Integrated Circuit Trojan Horses. IEEE Trans. Very Large Scale Integr. Syst. 19(10): 1921-1926 (2011)
2000 – 2009
- 2002
- [j1]Woo-Seop Kim, Lok-Won Kim, Chang-Eun Lee, Kyeong-Deok Moon, Suki Kim:
A control network architecture based on EIA-709.1 protocol for power line data communications. IEEE Trans. Consumer Electron. 48(3): 650-655 (2002)
Coauthor Index
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