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We stand with Ukraine

Seongjin Choi

Orcid: 0009-0006-0263-5589

According to our database¹, Seongjin Choi authored at least 51 papers between 2001 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Do E-Scooter Speed Governance Policies Reduce Harsh Acceleration and Deceleration? Evidence from 19.5 Million Trips Around a Regulatory Ban.

[DOI]

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CoRR, April, 2026

Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967-2025.

[DOI]

CoRR, April, 2026

Automated Detection of Multiple Sclerosis Lesions on 7-tesla MRI Using U-net and Transformer-based Segmentation.

[DOI]

Michael Maynord

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Cornelia Fermüller

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Daniel M. Harrison

CoRR, April, 2026

Weisfeiler and Lehman Go Categorical.

[DOI]

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CoRR, February, 2026

Impact Analysis of Parameters in the Licklider Transmission Protocol.

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Proceedings of the 40th International Conference on Information Networking, 2026

Energy-Efficient Federated Learning Over-the-Air with Perfect Amplitude Alignment Based on Magnitude-Scaled One-Bit Quantization.

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Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

Researches on Dynamic Metasurface Antenna Based Wireless Communication System.

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Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

Recent Advances in Artificial Intelligence for RIS in 6G Wireless Networks.

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Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

A Survey on AI-Enhanced CSI Feedback in Cell-Free Massive MIMO.

[DOI]

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Thanh Phung Truong

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Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026

2025

PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations.

[DOI]

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CoRR, December, 2025

Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting.

[DOI]

Christopher Cheong

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CoRR, November, 2025

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment.

[DOI]

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CoRR, November, 2025

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem.

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Carolina Osorio

CoRR, October, 2025

Video-based Vehicle Surveillance in the Wild: License Plate, Make, and Model Recognition with Self Reflective Vision-Language Models.

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Kara M. Kockelman

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CoRR, August, 2025

Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction.

[DOI]

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CoRR, January, 2025

TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows.

[DOI]

Mitch Kosieradzki

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CoRR, January, 2025

Probabilistic Traffic Forecasting with Dynamic Regression.

[DOI]

Vincent Zhihao Zheng

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Transp. Sci., 2025

Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting.

[DOI]

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Nicolas Saunier

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Vincent Zhihao Zheng

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Martin Trépanier

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Transp. Sci., 2025

A Mutual Information-Based Framework for Enhancing Graph Neural Networks on Heterophily.

[DOI]

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IEEE Access, 2025

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning.

[DOI]

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IEEE Access, 2025

A Survey on Vision-Language-Action Models for Autonomous Driving.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

TrafficNetQA: Question Answering Datasets for Evaluating LLM Performance on Traffic Network Files.

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Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Federated Continual Recommendation.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting.

[DOI]

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Luis Miranda-Moreno

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research.

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CoRR, 2024

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control.

[DOI]

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CoRR, 2024

A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time.

[DOI]

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CoRR, 2024

A Customizable Neural Network Based Framework for Autonomous Vehicle Control with Human-Guided Learning.

[DOI]

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Raphael E. Stern

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Better Batch for Deep Probabilistic Time Series Forecasting.

[DOI]

Vincent Zhihao Zheng

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Enhancing Deep Traffic Forecasting Models with Dynamic Regression.

[DOI]

Vincent Zhihao Zheng

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CoRR, 2023

A High-Performance 1Tb 3b/Cell 3D-NAND Flash with a 194MB/s Write Throughput on over 300 Layers $\mathsf{i}$.

[DOI]

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2022

Safety Monitoring System of CAVs Considering the Trade-Off between Sampling Interval and Data Reliability.

[DOI]

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Sensors, 2022

Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting.

[DOI]

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Nicolas Saunier

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Martin Trépanier

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CoRR, 2022

Optimal Parking Planning for Shared Autonomous Vehicles.

[DOI]

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CoRR, 2022

A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data.

[DOI]

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CoRR, 2022

2021

Deep Learning based Urban Vehicle Trajectory Analytics.

[DOI]

CoRR, 2021

Development of Safety Monitoring System of Connected and Automated Vehicles considering the Trade-off between Communication Efficiency and Data Reliability.

[DOI]

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CoRR, 2021

Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach.

[DOI]

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CoRR, 2021

2020

TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning.

[DOI]

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CoRR, 2020

Extended Urban Cell Transmission Model Using Agent-based Modeling.

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Proceedings of the 11th International Conference on Ambient Systems, 2020

2019

Real-time Prediction of Arterial Vehicle Trajectories: An Application to Predictive Route Guidance for an Emergency Vehicle.

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Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model.

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Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction.

[DOI]

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Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018

Pipelined Squarer for Unsigned Integers of Up to 12 Bits.

[DOI]

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Hyeong-Cheol Oh

IEICE Trans. Inf. Syst., 2018

Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior.

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Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

An investigation of operating behavior characteristics of a wind power system using a fuzzy clustering method.

[DOI]

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Expert Syst. Appl., 2017

Framework for simulation-based lane change control for autonomous vehicles.

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Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2009

Use of adaptive network fuzzy inference system to predict plasma charging damage on electrical MOSFET properties.

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Expert Syst. Appl., 2009

Use of neural network to model X-ray photoelectron spectroscopy data for diagnosis of plasma etch equipment.

[DOI]

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Expert Syst. Appl., 2009

2007

Adaptive Network-Based Fuzzy Inference Model of Plasma Enhanced Chemical Vapor Deposition Process.

[DOI]

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Proceedings of the Advances in Neural Networks, 2007

2001

A sensorless approach to control of a turbodynamic left ventricular assist system.

[DOI]

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James F. Antaki

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J. Robert Boston

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IEEE Trans. Control. Syst. Technol., 2001

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