| 2026 | WSDM | N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy. | Won-Seok Hwang, Jeong-Han Yun, Byung-Gil Min |
| 2022 | SAC | "Do you know existing accuracy metrics overrate time-series anomaly detections?". | Won-Seok Hwang, Jeong-Han Yun, Jonguk Kim, Byung-Gil Min |
| 2022 | SAC | Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series. | Jeong-Han Yun, Jonguk Kim, Won-Seok Hwang, Young Geun Kim, Simon S. Woo, Byung-Gil Min |
| 2019 | CIKM | Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling. | Won-Seok Hwang, Jeong-Han Yun, Jonguk Kim, HyoungChun Kim |
| 2016 | ICDE | "Told you i didn't like it": Exploiting uninteresting items for effective collaborative filtering. | Won-Seok Hwang, Juan Parc, Sang-Wook Kim, Jongwuk Lee, Dongwon Lee |
| 2014 | WWW | Data imputation using a trust network for recommendation. | Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, Kichun Lee |
| 2014 | SAC | Context-aware music recommendation in mobile smart devices. | Jiwon Hong, Won-Seok Hwang, Jin-Hyung Kim, Sang-Wook Kim |
| 2013 | CIKM | Exploiting trustors as well as trustees in trust-based recommendation. | Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, Ho Jin Choi |
| 2012 | CIKM | On using category experts for improving the performance and accuracy in recommender systems. | Won-Seok Hwang, Ho-Jong Lee, Sang-Wook Kim, Minsoo Lee |
| 2011 | DASC | On Analyzing User Ratings and Directional Trusts in Epinions.com. | Shaoyu Li, Won-Seok Hwang, Sang-Wook Kim |
| 2011 | WWW | On computing text-based similarity in scientific literature. | Seok-Ho Yoon, Sang-Wook Kim, Ji-Soo Kim, Won-Seok Hwang |
| 2010 | WWW | Yet another paper ranking algorithm advocating recent publications. | Won-Seok Hwang, Soo-Min Chae, Sang-Wook Kim, Gyun Woo |