RealSSim: a simulator for indoor sensor network systems. - Yu-Seung Ma; Junkeun Song; Ji-Young Kwak; Misun Yu; Duk-Kyun Woo; Pyungsoo Mah (SenSys, 2010)

SimpleLock: Fast and Accurate Hybrid Data Race Detector. - Misun Yu; Sang-Kyung Yoo; Doo-Hwan Bae (PDCAT, 2013)

Characterizing non-deadlock concurrency bug fixes in open-source Java programs. - Misun Yu; Yu-Seung Ma; Doo-Hwan Bae (SAC, 2016)

SimpleLock+: Fast and Accurate Hybrid Data Race Detection. - Misun Yu; Doo-Hwan Bae (Comput. J., 2016)

AdaptiveLock: Efficient Hybrid Data Race Detection Based on Real-World Locking Patterns. - Misun Yu; Joon-Sang Lee; Doo-Hwan Bae (Int. J. Parallel Program., 2019)

Possibility of cost reduction by mutant clustering according to the clustering scope. - Misun Yu; Yu-Seung Ma (Softw. Test. Verification Reliab., 2019)

Efficient noise injection for exposing hidden data races. - Misun Yu; Yu-Seung Ma; Doo-Hwan Bae (J. Supercomput., 2020)

Correction to: Efficient noise injection for exposing hidden data races. - Misun Yu; Yu-Seung Ma; Doo-Hwan Bae (J. Supercomput., 2020)

Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment. - Jemin Lee; Misun Yu; Yongin Kwon; Taeho Kim 001 (Future Gener. Comput. Syst., 2022)

Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction. - Jemin Lee; Yongin Kwon; Jeman Park 002; Misun Yu; Hwanjun Song (CoRR, 2023)

Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers With Bridge Block Reconstruction for IoT Systems. - Jemin Lee; Yongin Kwon; Sihyeong Park; Misun Yu; Jeman Park 002; Hwanjun Song (IEEE Internet Things J., 2024)