Oh, Y., et al. Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration. Annual Conference on Artificial Intelligence and Statistics (AISTATS), 2026.

Ahn, H., et al. (incl. Oh, Y.). Prevalence of negative transfer in continual reinforcement learning: Analyses and a simple baseline. International Conference on Learning Representations (ICLR), 2025.

Poddar, S., et al. (incl. Oh, Y.). Insight: Universal neural simulator for analog circuits harnessing autoregressive transformers. Design Automation Conference (DAC), 2025.

Oh, Y. Physician Workforce and Population Mortality: A Globally Validated Age-Structured Modeling Approach. medRxiv, 2025.

Oh, Y., et al. M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling. International Conference on Computer-Aided Design (ICCAD), 2024.

Kim, D., et al. (incl. Oh, Y.). TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer. Design Automation Conference (DAC), 2024.

Oh, Y., et al. CRONuS: Circuit Rapid Optimization with Neural Simulator. Design, Automation & Test in Europe (DATE), 2024.

Lee, Y. H.*, Oh, Y.*, Jeong, G., et al. GRAFT: Graph-assisted Reinforcement learning for Automated SSD Firmware Testing. International Conference on Computer-Aided Design (ICCAD), 2023.

Oh, Y., et al. Model-augmented Prioritized Experience Replay. International Conference on Learning Representations (ICLR), 2022.

Oh, Y., et al. Learning to Sample with Local and Global Contexts in Experience Replay Buffer. International Conference on Learning Representations (ICLR), 2021.

Oh, Y., et al. Effect of time-varying flow-shear on the nonlinear stability of the boundary of magnetized toroidal plasmas. AIP Advances 8.2, 2018.

Lee, S., et al. (incl. Oh, Y.). Mathematical modeling and its analysis for instability of the immune system induced by chemotaxis. Journal of Mathematical Biology 75.5, 2017.

Oh, Y., Yun, G. S., and Hwang, H. J. Mathematical analysis of long-time behavior of magnetized fluid instabilities with shear flow. arXiv:1706.08036, 2017.

Oh, Y., et al. Variational approach to powder-binder separation in Poiseuille and Couette flows. Physics of Fluids 29.3, 2017.

Park, D. Y., et al. (incl. Oh, Y.). An experimental approach to powder-binder separation of feedstock. Powder Technology 306, 2017.

Hwang, H. J., Oh, Y., and Fontelos, M. A. The vanishing surface tension limit for the Hele-Shaw problem. Discrete & Continuous Dynamical Systems-B 21.10, 2016.

Fontelos, M. A., Hwang, H. J., and Oh, Y. Stability, instability, and bifurcation in electrified thin films. SIAM Journal on Mathematical Analysis 48.4, 2016.

Oh, Y. On the well-posedness and vanishing viscosity limit of MHD with a slip boundary condition. PhD Thesis, POSTECH, 2016.

Won Jo Lee, Youngmin Oh, Minkyoung Cho, ”Method and apparatus with neural-network pruning”, US2022114453A1

Jun Haeng Lee, et al. ”Method and apparatus with system verification based on reinforcement learning”, US2022114453A1

Youngmin Oh, ”Apparatus and method of compressing neural network”, US KR US20200184333A1

In, H. et al. ”Device for generating verification vector for circuit design verification, circuit design system, and reinforcement learning method of the device and the circuit design system.” U.S. Patent Application No. 16/788,924