| 2023 | QCE | Bounded Quantum Regular Language Generator. | YoungMin Kwon, Gul Agha |
| 2021 | CVPR | Keyword-Based Vehicle Retrieval. | Eun-Ju Park, Hoyoung Kim, Seonghwan Jeong, Byungkon Kang, YoungMin Kwon |
| 2021 | VMCAI | A Design of GPU-Based Quantitative Model Checking. | YoungMin Kwon, Eunhee Kim |
| 2020 | ICPR | Color, Edge, and Pixel-wise Explanation of Predictions Based on Interpretable Neural Network Model. | Jay Hoon Jung, YoungMin Kwon |
| 2020 | ICPR | Boundaries of Single-Class Regions in the Input Space of Piece-Wise Linear Neural Networks. | Jay Hoon Jung, YoungMin Kwon |
| 2019 | ICFEM | Robustness of Piece-Wise Linear Neural Network with Feasible Region Approaches. | Jay Hoon Jung, YoungMin Kwon |
| 2018 | Tencon | Extension of Convolutional Neural Network with General Image Processing Kernels. | Jay Hoon Jung, Yousun Shin, YoungMin Kwon |
| 2006 | RTAS | Scalable Modeling and Performance Evaluation of Wireless Sensor Networks. | YoungMin Kwon, Gul Agha |
| 2005 | ICDCS | Resilient Localization for Sensor Networks in Outdoor Environments. | YoungMin Kwon, Kirill Mechitov, Sameer Sundresh, WooYoung Kim, Gul A. Agha |
| 2004 | ICFEM | Linear Inequality LTL (iLTL): A Model Checker for Discrete Time Markov Chains. | YoungMin Kwon, Gul Agha |
| 2003 | SENSYS | Cooperative tracking with binary-detection sensor networks. | Kirill Mechitov, Sameer Sundresh, YoungMin Kwon, Gul Agha |