Seongjin Choi

According to our database, Seongjin Choi authored at least 26 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Seongjin Choi, Zhixiong Jin, Seung Woo Ham, Jiwon Kim, Lijun Sun

CoRR, 2024

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control.

Sicong Jiang, Seongjin Choi, Lijun Sun

CoRR, 2024

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

Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo

CoRR, 2024

Better Batch for Deep Probabilistic Time Series Forecasting.

Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun

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

2023

Enhancing Deep Traffic Forecasting Models with Dynamic Regression.

Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun

CoRR, 2023

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

Bvunarvul Kim, Seungpil Lee, Beomseok Hah, Kanawoo Park, Yongsoon Park, Kangwook Jo, Yujong Noh, Hyeon-Cheon Seol, Hyunsoo Lee, Jae-Hyeon Shin, Seongjin Choi, Youngdon Jung, Sungho Ahn, Yonghun Park, Sujeong Oh, Myungsu Kim, Seonauk Kim, Hyunwook Park, Taeho Lee, Haeun Won, Minsung Kim, Cheulhee Koo, Yeonjoo Choi, Suyoung Choi, Sechun Park, Dongkyu Youn, Junyoun Lim, Wonsun Park, Hwang Hur, Kichang Kwean, Hongsok Choi, Woopyo Jeong, Sungyong Chung, Jungdal Choi, Seonyong Cha

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.

Sehyun Tak, Seongjin Choi

Sensors, 2022

Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting.

Seongjin Choi, Nicolas Saunier, Martin Trépanier, Lijun Sun

CoRR, 2022

Optimal Parking Planning for Shared Autonomous Vehicles.

Seongjin Choi, Jinwoo Lee

CoRR, 2022

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

Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo

CoRR, 2022

2021

Deep Learning based Urban Vehicle Trajectory Analytics.

Seongjin Choi

CoRR, 2021

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

Sehyun Tak, Seongjin Choi

CoRR, 2021

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

Zhixiong Jin, Seongjin Choi, Hwasoo Yeo

CoRR, 2021

2020

TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning.

Seongjin Choi, Jiwon Kim, Hwasoo Yeo

CoRR, 2020

Extended Urban Cell Transmission Model Using Agent-based Modeling.

Yeeun Kim, Seongjin Choi, Hwasoo Yeo

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.

Seongjin Choi, Jiwon Kim, Hwapyeong Yu, Hwasoo Yeo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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

Yeeun Kim, Seongjin Choi, Jihyuk Park, Hwasoo Yeo

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.

Seongjin Choi, Jiwon Kim, Hwasoo Yeo

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.

Seongjin Choi, Hyeong-Cheol Oh

IEICE Trans. Inf. Syst., 2018

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

Yeeun Kim, Seongjin Choi, Hwasoo Yeo

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.

Seongjin Choi, Sungho Kim

Expert Syst. Appl., 2017

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

Seongjin Choi, Hwasoo Yeo

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.

Byungwhan Kim, Hee Ju Kwon, Seongjin Choi

Expert Syst. Appl., 2009

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

Byungwhan Kim, Jeong Kim, Seongjin Choi

Expert Syst. Appl., 2009

2007

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

Byungwhan Kim, Seongjin Choi

Proceedings of the Advances in Neural Networks, 2007

2001

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

Seongjin Choi, James F. Antaki, J. Robert Boston, Douglas Thomas

IEEE Trans. Control. Syst. Technol., 2001