| 2025 | ICLR | Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels. | Hyeonsu Jeong, Hye Won Chung |
| 2025 | ISIT | Improved Community Recovery via Exact Matching in Correlated Contextual Stochastic Block Models. | Joonhyuk Yang, Hye Won Chung |
| 2024 | ICML | BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. | Hoyong Choi, Nohyun Ki, Hye Won Chung |
| 2024 | ICML | SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. | Yongmin Lee, Hye Won Chung |
| 2024 | ISIT | Exact Graph Matching in Correlated Gaussian-Attributed Erdős- Rnyi Mode. | Joonhyuk Yang, Hye Won Chung |
| 2023 | ICLR | Test-Time Adaptation via Self-Training with Nearest Neighbor Information. | Minguk Jang, Sae-Young Chung, Hye Won Chung |
| 2023 | ICLR | Data Valuation Without Training of a Model. | Nohyun Ki, Hoyong Choi, Hye Won Chung |
| 2023 | ICML | Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. | Hyeonsu Jeong, Hye Won Chung |
| 2023 | ICML | Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. | Joonhyuk Yang, Dongpil Shin, Hye Won Chung |
| 2022 | ISIT | A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm. | Doyeon Kim, Jeonghwan Lee, Hye Won Chung |
| 2021 | ICML | Detection of Signal in the Spiked Rectangular Models. | Ji Hyung Jung, Hye Won Chung, Ji Oon Lee |
| 2021 | ISIT | Crowdsourced Labeling for Worker-Task Specialization Model. | Doyeon Kim, Hye Won Chung |
| 2020 | ISIT | Crowdsourced Classification with XOR Queries: An Algorithm with Optimal Sample Complexity. | Daesung Kim, Hye Won Chung |
| 2019 | ICML | Weak Detection of Signal in the Spiked Wigner Model. | Hye Won Chung, Ji Oon Lee |
| 2019 | ISIT | Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. | Youngjae Min, Hye Won Chung |
| 2018 | ICASSP | Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. | Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III |
| 2018 | ISIT | Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty. | Hye Won Chung, Ji Oon Lee, Alfred O. Hero III |
| 2016 | ISIT | Unequal error protection coding approaches to the noisy 20 questions problem. | Hye Won Chung, Lizhong Zheng, Brian M. Sadler, Alfred O. Hero III |
| 2014 | ISIT | Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. | Hye Won Chung, Saikat Guha, Lizhong Zheng |
| 2011 | ISIT | On capacity of optical channels with coherent detection. | Hye Won Chung, Saikat Guha, Lizhong Zheng |