Innovative Design Thinking Process with TRIZ. - Kyeongwon Lee (TFC, 2018)

Conceptual Design of the Technical System Using Complementary Use of TRIZ Function Analysis and Patent Information. - Sehoon Cho; Kyeongwon Lee; Yongwon Song (TFC, 2019)

Asymptotic Properties for Bayesian Neural Network in Besov Space. - Kyeongwon Lee; Jaeyong Lee (NeurIPS, 2022)

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)

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., 2024)

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)

Standalone FPGA-Based QAOA Emulator for Weighted-MaxCut on Embedded Devices. - Seonghyun Choi; Kyeongwon Lee; Jae-Jin Lee; Woojoo Lee (CoRR, 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, 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 (CoRR, 2025)

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality. - Kyeongwon Lee; Lizhen Lin; Jaewoo Park; Seonghyun Jeong (CoRR, 2025)