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)

Adaptive Network-Based Fuzzy Inference Model of Plasma Enhanced Chemical Vapor Deposition Process. - Byungwhan Kim; Seongjin Choi (ISNN (1), 2007)

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)

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)

Framework for simulation-based lane change control for autonomous vehicles. - Seongjin Choi; Hwasoo Yeo (Intelligent Vehicles Symposium, 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)

Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior. - Yeeun Kim; Seongjin Choi; Hwasoo Yeo (ITSC, 2018)

Pipelined Squarer for Unsigned Integers of Up to 12 Bits. - Seongjin Choi; Hyeong-Cheol Oh (IEICE Trans. Inf. Syst., 2018)

Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. - Seongjin Choi; Jiwon Kim; Hwasoo Yeo (ANT/EDI40, 2019)

Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model. - Yeeun Kim; Seongjin Choi; Jihyuk Park; Hwasoo Yeo (ANT/EDI40, 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 (ITSC, 2019)

Extended Urban Cell Transmission Model Using Agent-based Modeling. - Yeeun Kim; Seongjin Choi; Hwasoo Yeo (ANT/EDI40, 2020)

TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning. - Seongjin Choi; Jiwon Kim; Hwasoo Yeo (CoRR, 2020)

Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach. - Zhixiong Jin; Seongjin Choi; Hwasoo Yeo (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)

Deep Learning based Urban Vehicle Trajectory Analytics. - Seongjin Choi (CoRR, 2021)

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)

Optimal Parking Planning for Shared Autonomous Vehicles. - Seongjin Choi; Jinwoo Lee (CoRR, 2022)

Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting. - Seongjin Choi; Nicolas Saunier; Martin Trépanier; Lijun Sun 001 (CoRR, 2022)

Safety Monitoring System of CAVs Considering the Trade-Off between Sampling Interval and Data Reliability. - Sehyun Tak; Seongjin Choi (Sensors, 2022)

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; et al. (ISSCC, 2023)

Enhancing Deep Traffic Forecasting Models with Dynamic Regression. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (CoRR, 2023)

Better Batch for Deep Probabilistic Time Series Forecasting. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (AISTATS, 2024)

A Customizable Neural Network Based Framework for Autonomous Vehicle Control with Human-Guided Learning. - Tianyi Li; Shian Wang; Mingfeng Shang; Seongjin Choi; Raphael E. Stern (ITSC, 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)

Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control. - Sicong Jiang; Seongjin Choi; Lijun Sun 001 (CoRR, 2024)

A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research. - Seongjin Choi; Zhixiong Jin; Seung Woo Ham; Jiwon Kim; Lijun Sun 001 (CoRR, 2024)

Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting. - Fuqiang Liu; Sicong Jiang; Luis Miranda-Moreno; Seongjin Choi; Lijun Sun 001 (AISTATS, 2025)

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning. - Seongjin Choi; Gahee Kim; Yong-Geun Oh (IEEE Access, 2025)

Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. - Seongjin Choi; Nicolas Saunier; Vincent Zhihao Zheng; Martin Trépanier; Lijun Sun 001 (Transp. Sci., 2025)

Probabilistic Traffic Forecasting with Dynamic Regression. - Vincent Zhihao Zheng; Seongjin Choi; Lijun Sun 001 (Transp. Sci., 2025)

TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows. - Mitch Kosieradzki; Seongjin Choi (CoRR, 2025)

Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction. - Jungwoo Cho; Seongjin Choi (CoRR, 2025)

A Survey on Vision-Language-Action Models for Autonomous Driving. - Sicong Jiang; Zilin Huang; Kangan Qian; Ziang Luo; Tianze Zhu; Yang Zhong; Yihong Tang; Menglin Kong; Yunlong Wang 009; Siwen Jiao; Hao Ye; Zihao Sheng; et al. (CoRR, 2025)