| 2025 | APSEC | Enhancing Diffusion-Driven Test Input Generation using Large Language Model. | Joonwoo Lee, Seungho Kim, Scott Uk-Jin Lee |
| 2025 | SANER | Can We Trust the Actionable Guidance from Explainable AI Techniques in Defect Prediction? | Gichan Lee, Hansae Ju, Scott Uk-Jin Lee |
| 2024 | ICECCS | Less is More: An Empirical Study of Undersampling Techniques for Technical Debt Prediction. | Gichan Lee, Scott Uk-Jin Lee |
| 2020 | ICSE | Semantic-based Architecture Smell Analysis. | Nacha Chondamrongkul, Jing Sun, Ian Warren, Scott Uk-Jin Lee |
| 2019 | APSEC | Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment. | Chenghao Cai, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee |
| 2014 | SERVICES | Predicting Student Blood Pressure by Support Vector Machine Using Facebook. | Shazada Muhammad Umair Khan, Javeria Shaikh Manzoor, Scott Uk-Jin Lee |
| 2009 | TASE | Verifying Semistructured Data Normalization Using SWRL. | Yuan-Fang Li, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee, Hai H. Wang |
| 2008 | ICECCS | Verifying Semistructured Data Normalization Using PVS. | Scott Uk-Jin Lee, Jing Sun, Gillian Dobbie, Lindsay Groves |
| 2007 | APCCM | Towards Verifying Semistructured Data. | Gillian Dobbie, Jing Sun, Yuan-Fang Li, Scott Uk-Jin Lee |
| 2006 | ICDCIT | Research into Verifying Semistructured Data. | Gillian Dobbie, Jing Sun, Yuan-Fang Li, Scott Uk-Jin Lee |
| 2006 | SEKE | A PVS Approach to Verifying ORA-SS Data Models. | Scott Uk-Jin Lee, Gillian Dobbie, Jing Sun, Lindsay Groves |