Kyeongwon Lee

According to our database, Kyeongwon Lee authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CMAX-CAMEL: A Coarse-to-Fine Adaptive, Memory-Efficient, and Low-Power Edge Processor for Contrast Maximization.

Kyeongpil Min, Jongin Choi, Kyeongwon Lee, Woojoo Lee

CoRR, May, 2026

SA-Kura: An Energy-Efficient Systolic Array Accelerator for Locally-Coupled Kuramoto Drift in Diffusion Sampling.

Jeongmin Jin, Kyeongwon Lee, Mundo Jeong, Jongin Choi, Woojoo Lee

CoRR, May, 2026

Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces.

Jeunghun Oh, Kyeongwon Lee, Jaeyong Lee, Lizhen Lin

CoRR, May, 2026

TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI.

Hyunseok Kwak, Kyeongwon Lee, Kyeongpil Min, Chaebin Jung, Woojoo Lee

Proceedings of the Design, Automation & Test in Europe Conference, 2026

LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices.

Hyunseok Kwak, Kyeongwon Lee, Jae-Jin Lee, Woojoo Lee

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Asymptotic Error Bounds and Fractional-Bit Design for Fixed-Point Grover's Quantum Algorithm Emulation.

Seonghyun Choi, Kyeongwon Lee, Jongin Choi, Woojoo Lee

CoRR, April, 2025

Standalone FPGA-Based QAOA Emulator for Weighted-MaxCut on Embedded Devices.

Seonghyun Choi, Kyeongwon Lee, Jae-Jin Lee, Woojoo Lee

CoRR, February, 2025

bspcov: An R Package for Bayesian sparse covariance matrix estimation.

Kyeongwon Lee, Kyoungjae Lee, Seongil Jo, Kwangmin Lee

SoftwareX, 2025

Radar-PIM: Developing IoT Processors Utilizing Processing-in-Memory Architecture for Ultrawideband-Radar-Based Respiration Detection.

Kyeongwon Lee, Sangmin Jeon, Kangju Lee, Woojoo Lee, Massoud Pedram

IEEE Internet Things J., 2025

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality.

Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Demo Abstract: Radar-PIM-Lite: Ultra-Low-Power PIM Processor for Real-Time UWB Radar Respiration Detection on UAVs.

Kyeongwon Lee, Hyunseok Kwak, Kyeongpil Min, Chaebin Jung, Sangmin Jeon, Woojoo Lee, Jina Park, Massoud Pedram

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices.

Sangmin Jeon, Kangju Lee, Kyeongwon Lee, Woojoo Lee

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Designing Low-Power RISC-V Multicore Processors With a Shared Lightweight Floating Point Unit for IoT Endnodes.

Jina Park, Kyuseung Han, Eunjin Choi, Jae-Jin Lee, Kyeongwon Lee, Woojoo Lee, Massoud Pedram

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2024

Day-Night architecture: Development of an ultra-low power RISC-V processor for wearable anomaly detection.

Eunjin Choi, Jina Park, Kyeongwon Lee, Jae-Jin Lee, Kyuseung Han, Woojoo Lee

J. Syst. Archit., 2024

2022

Asymptotic Properties for Bayesian Neural Network in Besov Space.

Kyeongwon Lee, Jaeyong Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Conceptual Design of the Technical System Using Complementary Use of TRIZ Function Analysis and Patent Information.

Sehoon Cho, Kyeongwon Lee, Yongwon Song

Proceedings of the New Opportunities for Innovation Breakthroughs for Developing Countries and Emerging Economies, 2019

2018

Innovative Design Thinking Process with TRIZ.

Kyeongwon Lee

Proceedings of the Automated Invention for Smart Industries, 2018