2025 [C10] PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset; 2025 [C9] Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning; 2024 [C8] A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM; 2024 [C7] Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias; 2024 [C6] Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role; 2023 [C5] Video-based gait analysis for assessing Alzheimer’s Disease and Dementia with Lewy Bodies; 2023 [J7] Deep emotion change detection via facial expression analysis; 2023 [C4] Learning to Boost Training by Periodic Nowcasting Near Future Weights; 2023 [J6] Virtual portraits from rotating selfies; 2022 [C3] Real-world Validation Study of Daily Activity Detection for the Elderly; 2021 [J5] Efficient architecture for deep neural networks with heterogeneous sensitivity; 2020 [C2] ETRI-activity3D: A large-scale RGB-D dataset for robots to recognize daily activities of the elderly; 2020 [J4] Deep neural networks with a set of node-wise varying activation functions; 2018 [P1] Neural Networks with Activation Networks; 2018 [J3] Facial attribute recognition by recurrent learning with visual fixation; 2017 [J2] Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition.
Research Experience
Senior Researcher, Electronics and Telecommunications Research Institute (ETRI), 2017.2 - Present.
Education
B.S. in Electrical and Computer Engineering from UNIST, 2010.3.1-2013.11.21; M.S. in Electrical and Computer Engineering from UNIST, 2014.3.1-2016.02.23, advised by Prof. Seungjoon Yang; Ph.D. in Electrical Engineering from KAIST, 2021.03.1-2025.02.14, advised by Prof. Chan-Hyun Youn.
Background
Research Interests: Robotics, Vision-Language-Action, AI Safety, Trustworthy AI, Efficient Training, Acceleration. Brief Introduction: Senior Researcher at Social Robotics Research Team in ETRI.