| 2024 | SIGMOD | ASM in Action: Fast and Practical Learned Cardinality Estimation. | Sangoh Lee, Kyoungmin Kim, Wook-Shin Han |
| 2023 | PODS | Guaranteeing the (AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins. | Kyoungmin Kim, Jaehyun Ha, George Fletcher, Wook-Shin Han |
| 2022 | SIGMOD | Learned Cardinality Estimation: An In-depth Study. | Kyoungmin Kim, Jisung Jung, In Seo, Wook-Shin Han, Kangwoo Choi, Jaehyok Chong |
| 2021 | SIGMOD | Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation. | Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han |
| 2020 | SIGMOD | G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching. | Yeonsu Park, Seongyun Ko, Sourav S. Bhowmick, Kyoungmin Kim, Kijae Hong, Wook-Shin Han |
| 2018 | SIGMOD | TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data. | Kyoungmin Kim, In Seo, Wook-Shin Han, Jeong-Hoon Lee, Sungpack Hong, Hassan Chafi, Hyungyu Shin, Geonhwa Jeong |
| 2017 | CCS | Criminal Minds: Reasoning Prime Suspect in Russian Hacking Scandal by Perspective of Insiders. | Mookyu Park, Junwoo Seo, Kyoungmin Kim, Moosung Park, Kyungho Lee |
| 2017 | SAC | Security software module update for heterogeneous VoT. | Kiwook Kang, Kyoungmin Kim, Jinwoo Lee, Joonhyouk Jang, Jiman Hong |