Park, K., Na, Y., Choi, Y., Ryu, H., Shin, H.w., Kim. H.S., 2026., SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures., Forty-third International Conference on Machine Learning.
Park, D., Ryu, H., Bae, S., Park. K., Kim. H.S., 2026., T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation., The Fourteenth International Conference on Learning Representations.
Park, K., Hong, J., Lee, W., Shin, H.W. and Kim, H.S., 2025. DistillSleep: Real-Time, On-Device, Interpretable Sleep Staging from Single-Channel EEG. SLEEPJ, p.zsaf240.
Baek, E., Park, K., Ko, J., Oh, M.H., Gong, T. and Kim, H.S., 2025. AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift. The Thirty-Ninth Annual Conference on Neural Information Processing Systems Position Paper Track.
Baek, E., Park, K., Kim, J. and Kim, H.S., 2024. Unexplored faces of robustness and out-of-distribution: Covariate shifts in environment and sensor domains. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 22294-22303).
Park, K., Choi, Y.R., Lee, I. and Kim, H.S., 2023, May. PointSplit: Towards on-device 3D object detection with heterogeneous low-power accelerators. In Proceedings of the 22nd International Conference on Information Processing in Sensor Networks (pp. 67-81).
Kim, W., Park, K., Sohn, K., Shu, R. and Kim, H.S., 2022. Federated semi-supervised learning with prototypical networks. arXiv preprint arXiv:2205.13921.
Park, K., Jang, W., Lee, W., Nam, K., Seong, K., Chai, K. and Li, W.S., 2020. Real-time mask detection on google edge TPU. arXiv preprint arXiv:2010.04427.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA