| 2026 | EACL | Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models. | Mengdie Flora Wang, Haochen Xie, Mun Young Kim, Baishali Chaudhury, Meghana Ashok, Suren Gunturu, Sungmin Hong, Jae Oh Woo |
| 2024 | ICML | Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. | JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min |
| 2023 | AAAI | Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract). | Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert |
| 2023 | ICCV | Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples. | JoonHo Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee |
| 2023 | ICLR | Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle. | Jae Oh Woo |
| 2022 | ISIT | Analytic Mutual Information in Bayesian Neural Networks. | Jae Oh Woo |
| 2017 | ISIT | On the coverage probability of a spatially correlated network. | Chang-Sik Choi, Jae Oh Woo, Jeffrey G. Andrews |
| 2016 | ISIT | On the entropy and mutual information of point processes. | Franois Baccelli, Jae Oh Woo |
| 2015 | ISIT | A discrete entropy power inequality for uniform distributions. | Jae Oh Woo, Mokshay M. Madiman |
| 2014 | ISIT | A lower bound on the Rnyi entropy of convolutions in the integers. | Liyao Wang, Jae Oh Woo, Mokshay M. Madiman |