Real-Time Estimation of Lane-to-Lane Turning Flows at Isolated Signalized Junctions. - Seunghyeon Lee; Sze Chun Wong; Clement Chun Cheong Pang; Keechoo Choi (IEEE Trans. Intell. Transp. Syst., 2015)

Vulnerabilities of network OS and mitigation with state-based permission system. - Jiseong Noh; Seunghyeon Lee; Jaehyun Park 002; Seungwon Shin 001; Brent ByungHoon Kang (Secur. Commun. Networks, 2016)

Group-based approach to adaptive traffic-signal control. - Seunghyeon Lee (2016)

Athena: A Framework for Scalable Anomaly Detection in Software-Defined Networks. - Seunghyeon Lee; Jinwoo Kim; Seungwon Shin 001; Phillip A. Porras; Vinod Yegneswaran (DSN, 2017)

Duo: Software Defined Intrusion Tolerant System Using Dual Cluster. - Yongjae Lee; Seunghyeon Lee; Hyunmin Seo; Changhoon Yoon; Seungwon Shin 001; Hyunsoo Yoon (Secur. Commun. Networks, 2018)

Cybercriminal Minds: An investigative study of cryptocurrency abuses in the Dark Web. - Seunghyeon Lee; Changhoon Yoon; Heedo Kang; Yeonkeun Kim; Yongdae Kim; Dongsu Han; Sooel Son; Seungwon Shin 001 (NDSS, 2019)

7 DOF Manipulator Construction and Inverse Kinematics Calculation and Analysis using Newton-Raphson Method. - Seunghyeon Lee; Jonghak Lee; Jin-uk Bang; Jangmyung Lee (UR, 2021)

Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images. - Seunghyeon Lee; Youngkeun Song; Sung-Ho Kil (Remote. Sens., 2021)

Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach. - Seunghyeon Lee; Fang Chen (AI, 2022)

Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory. - Seunghyeon Lee; Dong Ngoduy; Fang Chen (AI, 2022)

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. - Artur Grigorev 001; Adriana Simona Mihaita; Seunghyeon Lee; Fang Chen 001 (CoRR, 2022)

B-GPS: Blockchain-Based Global Positioning System for Improved Data Integrity and Reliability. - Seunghyeon Lee; Hong-Woo Seok; Kirim Lee; Hoh Peter In (ISPRS Int. J. Geo Inf., 2022)

A System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles. - Cuong H. P. Nguyen; Nam H. Hoang; Seunghyeon Lee; Hai Le Vu (IEEE Trans. Intell. Transp. Syst., 2022)

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network. - Tenglong Li; Dong Ngoduy; Seunghyeon Lee; Ziyuan Pu (MT-ITS, 2023)

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. - Shuang Li 016; Ziyuan Pu; Zhiyong Cui; Seunghyeon Lee; Xiucheng Guo; Dong Ngoduy (CoRR, 2024)

A hybrid neural network for real-time OD demand calibration under disruptions. - Takao Dantsuji; Dong Ngoduy; Ziyuan Pu; Seunghyeon Lee; Hai L. Vu (CoRR, 2024)

A hybrid clustering-regression approach for predicting passenger congestion in a carriage at a subway platform. - Juhyeon Kwak; Donggyun Ku; Joonsik Jo; Sze Chun Wong; Seunghyeon Lee; Seungjae Lee 001 (Expert Syst. Appl., 2025)