Seunghyeon Lee

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
EZ-Therm: Effective Zero-Shot Thermal Depth Completion by Adapting Diffusion Priors.
IEEE Robotics Autom. Lett., June, 2026

Affostruction: 3D Affordance Grounding with Generative Reconstruction.
CoRR, January, 2026

SecTracer: A framework for uncovering the root causes of network intrusions via security provenance.
Comput. Secur., 2026

Model-Specific Echo Chamber Formation Patterns in Repeated LLM Agent Networks.
Proceedings of the 14th International Conference on Advances in Information Technology, 2026

2025
CountSteer: Steering Attention for Object Counting in Diffusion Models.
CoRR, November, 2025

FreeAction: Training-Free Techniques for Enhanced Fidelity of Trajectory-to-Video Generation.
CoRR, September, 2025

RA6D: Reliability-Aware 6D Pose Estimation via Attention-Guided Point Cloud in Aerosol Environments.
Robotics, 2025

A hybrid clustering-regression approach for predicting passenger congestion in a carriage at a subway platform.
Expert Syst. Appl., 2025

2024
A hybrid neural network for real-time OD demand calibration under disruptions.
CoRR, 2024

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach.
CoRR, 2024

2023
Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

2022
A System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

B-GPS: Blockchain-Based Global Positioning System for Improved Data Integrity and Reliability.
ISPRS Int. J. Geo Inf., 2022

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation.
CoRR, 2022

Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images.
Remote. Sens., 2021

7 DOF Manipulator Construction and Inverse Kinematics Calculation and Analysis using Newton-Raphson Method.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

2019
Cybercriminal Minds: An investigative study of cryptocurrency abuses in the Dark Web.
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

2018
Duo: Software Defined Intrusion Tolerant System Using Dual Cluster.
Secur. Commun. Networks, 2018

2017
Athena: A Framework for Scalable Anomaly Detection in Software-Defined Networks.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

2016
Group-based approach to adaptive traffic-signal control.
PhD thesis, 2016

Vulnerabilities of network OS and mitigation with state-based permission system.
Secur. Commun. Networks, 2016

2015
Real-Time Estimation of Lane-to-Lane Turning Flows at Isolated Signalized Junctions.
IEEE Trans. Intell. Transp. Syst., 2015


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