Numerical word-length optimization for CDMA demodulator. - Kyungtae Han; Iksu Eo; Kyungsu Kim; Hanjin Cho (ISCAS (4), 2001)

Wordlength optimization with complexity-and-distortion measure and its application to broadband wireless demodulator design. - Kyungtae Han; Brian L. Evans (ICASSP (5), 2004)

Optimum Wordlength Search Using Sensitivity Information. - Kyungtae Han; Brian L. Evans (EURASIP J. Adv. Signal Process., 2006)

Using checksum to reduce power consumption of display systems for low-motion content. - Kyungtae Han; Zhen Fang 002; Paul Diefenbaugh; Richard Forand; Ravi R. Iyer 001; Donald Newell (ICCD, 2009)

A hybrid display frame buffer architecture for energy efficient display subsystems. - Kyungtae Han; Alexander W. Min; Nithyananda S. Jeganathan; Paul Diefenbaugh (ISLPED, 2013)

Learning-Based Power Modeling of System-Level Black-Box IPs. - Dongwook Lee; Taemin Kim; Kyungtae Han; Yatin Hoskote; Lizy K. John; Andreas Gerstlauer (ICCAD, 2015)

A Polyhedral-based SystemC Modeling and Generation Framework for Effective Low-power Design Space Exploration. - Wei Zuo; Warren Kemmerer; Jong Bin Lim; Louis-Noël Pouchet; Andrey Ayupov; Taemin Kim; Kyungtae Han; Deming Chen (ICCAD, 2015)

Adaptive touch sampling for energy-efficient mobile platforms. - Alexander W. Min; Kyungtae Han; Dongho Hong; Yong-joon Park (SysCon, 2015)

Statistical quality modeling of approximate hardware. - Seogoo Lee; Dongwook Lee; Kyungtae Han; Emily Shriver; Lizy K. John; Andreas Gerstlauer (ISQED, 2016)

Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. - Ziran Wang; Kyungtae Han; BaekGyu Kim; Guoyuan Wu 001; Matthew J. Barth (ACC, 2019)

A Case Study of Trust on Autonomous Driving. - Shili Sheng; Erfan Pakdamanian; Kyungtae Han; BaekGyu Kim; Prashant Tiwari; Inki Kim; Lu Feng 001 (ITSC, 2019)

Probabilistic Modeling of Vehicle Acceleration and State Propagation With Long Short-Term Memory Neural Networks. - Ian Jones; Kyungtae Han (IV, 2019)

Edge Assisted Misbehavior Detection for Platoons. - Xinyue Kan; Akila Ganlath; Seyhan Ucar; Kyungtae Han; Prashant Tiwari; Konstantinos Karydis (VNC, 2019)

Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems. - Hiromitsu Kobayashi; Kyungtae Han; BaekGyu Kim (VTC Spring, 2019)

Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. - Jianyu Su; Peter A. Beling; Rui Guo; Kyungtae Han (ITSC, 2020)

Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. - Yongkang Liu 005; Ziran Wang; Kyungtae Han; Zhenyu Shou; Prashant Tiwari; John H. L. Hansen (IV, 2020)

Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. - Zhenyu Shou; Ziran Wang; Kyungtae Han; Yongkang Liu 005; Prashant Tiwari; Xuan Di (IV, 2020)

Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. - Ziran Wang; Kyungtae Han; Prashant Tiwari (SMC, 2020)

A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. - Ziran Wang; Xishun Liao; Xuanpeng Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (VTC Spring, 2020)

Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. - Ziran Wang; Xishun Liao; Chao Wang 089; David Oswald; Guoyuan Wu 001; Kanok Boriboonsomsin; Matthew J. Barth; Kyungtae Han; BaekGyu Kim; Prashant Tiwari (IEEE Trans. Intell. Veh., 2020)

Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine. - Ziran Wang; Kyungtae Han; Prashant Tiwari (DTPI, 2021)

Trust-based route planning for automated vehicles. - Shili Sheng; Erfan Pakdamanian; Kyungtae Han; Ziran Wang; John Lenneman; Lu Feng 001 (ICCPS, 2021)

Personalized Adaptive Cruise Control via Gaussian Process Regression. - Yanbing Wang; Ziran Wang; Kyungtae Han; Prashant Tiwari; Daniel B. Work (ITSC, 2021)

Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications. - Ziran Wang; Kyungtae Han; Prashant Han (CoRR, 2021)

A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. - Xishun Liao; Xuanpeng Zhao; Guoyuan Wu 001; Matthew J. Barth; Ziran Wang; Kyungtae Han; Prashant Tiwari (CoRR, 2021)

Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. - Xishun Liao; Ziran Wang; Xuanpeng Zhao; Zhouqiao Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (ICRA, 2022)

Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning. - Zhouqiao Zhao; Ziran Wang; Kyungtae Han; Rohit Gupta; Prashant Tiwari; Guoyuan Wu 001; Matthew J. Barth (ICRA, 2022)

Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing. - Yueyang Liu; Haoxin Wang; Zhipeng Cai 001; Dawei Chen; Kyungtae Han (SEC, 2022)

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. - Noveen Sachdeva; Ziran Wang; Kyungtae Han; Rohit Gupta; Julian J. McAuley (ITSC, 2022)

A Study on Learning and Simulating Personalized Car-Following Driving Style. - Shili Sheng; Erfan Pakdamanian; Kyungtae Han; Ziran Wang; Lu Feng 001 (ITSC, 2022)

Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges. - Ziran Wang; Rohit Gupta; Kyungtae Han; Haoxin Wang; Akila Ganlath; Nejib Ammar; Prashant Tiwari (IEEE Internet Things J., 2022)

Planning for Automated Vehicles with Human Trust. - Shili Sheng; Erfan Pakdamanian; Kyungtae Han; Ziran Wang; John Lenneman; David Parker 001; Lu Feng 001 (ACM Trans. Cyber Phys. Syst., 2022)

Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. - Xishun Liao; Ziran Wang; Xuanpeng Zhao; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Gaussian Process-Based Personalized Adaptive Cruise Control. - Yanbing Wang; Ziran Wang; Kyungtae Han; Prashant Tiwari; Daniel B. Work (IEEE Trans. Intell. Transp. Syst., 2022)

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. - Yongkang Liu 005; Ziran Wang; Kyungtae Han; Zhenyu Shou; Prashant Tiwari; John H. L. Hansen (IEEE Trans. Intell. Veh., 2022)

Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. - Ziran Wang; Kyungtae Han; Prashant Tiwari (IEEE Trans. Intell. Veh., 2022)

Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. - Xishun Liao; Xuanpeng Zhao; Ziran Wang; Kyungtae Han; Prashant Tiwari; Matthew J. Barth; Guoyuan Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. - Yunsheng Ma; Liangqi Yuan; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Zihao Li; Ziran Wang (CVPR Workshops, 2023)

Confidence-Based Federated Distillation for Vision-Based Lane-Centering. - Yitao Chen; Dawei Chen; Haoxin Wang; Kyungtae Han; Ming Zhao (ICASSP Workshops, 2023)

High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang (Linda) Xie; Zhu Han 001 (ICC, 2023)

EPAM: A Predictive Energy Model for Mobile AI. - Anik Mallik; Haoxin Wang; Jiang (Linda) Xie; Dawei Chen; Kyungtae Han (ICC, 2023)

CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. - Yongjie Xue; Yuru Zhang; Qiang Liu 013; Dawei Chen; Kyungtae Han (ICC, 2023)

Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Yanpeng Dai; Jiang (Linda) Xie; Zhu Han 001 (ICCC, 2023)

Poster: Efficient Video Instance Segmentation with Early Exit at the Edge. - Yitao Chen; Ming Zhao; Dawei Chen; Kyungtae Han; John Kenney (SEC, 2023)

AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. - Qiang Liu 013; Yongjie Xue; Yuru Zhang; Dawei Chen; Kyungtae Han (SEC, 2023)

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. - Xiaolong Tu; Anik Mallik; Dawei Chen; Kyungtae Han; Onur Altintas; Haoxin Wang; Jiang Xie 001 (SEC, 2023)

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios. - Siyan Li; Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (IRC, 2023)

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. - Amr Abdelraouf; Rohit Gupta; Kyungtae Han (ITSC, 2023)

CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. - Yunsheng Ma; Wenqian Ye; Xu Cao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Ziran Wang (ITSC, 2023)

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (ITSC, 2023)

Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework. - Runjia Du; Kyungtae Han; Rohit Gupta; Sikai Chen; Samuel Labi; Ziran Wang (IV, 2023)

Exploring Vehicular Interaction from Trajectories Based on Granger Causality. - Xishun Liao; Guoyuan Wu 001; Matthew J. Barth; Rohit Gupta; Kyungtae Han (IV, 2023)

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (SMC, 2023)

Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach. - Dawei Chen; Haoxin Wang; Kyungtae Han (WOCC, 2023)

Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges. - Yueyang Liu; Xiaolong Tu; Dawei Chen; Kyungtae Han; Onur Altintas; Haoxin Wang; Jiang (Linda) Xie (CoRR, 2023)

Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. - Xishun Liao; Xuanpeng Zhao; Ziran Wang; Zhouqiao Zhao; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (IEEE Internet Things J., 2023)

Metamobility: Connecting Future Mobility With the Metaverse. - Haoxin Wang; Ziran Wang; Dawei Chen; Qiang Liu 013; Hongyu Ke; Kyungtae Han (IEEE Veh. Technol. Mag., 2023)

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang Xie 001; Zhu Han 001 (IEEE Trans. Intell. Transp. Syst., 2023)

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. - Yunsheng Ma; Can Cui; Xu Cao; Wenqian Ye; Peiran Liu; Juanwu Lu; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Aniket Bera; James M. Rehg; Ziran Wang (CVPR, 2024)

KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections. - Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (CVPR Workshops, 2024)

CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. - Jiahe Cao; Qiang Liu 013; Dawei Chen; Kyungtae Han (GLOBECOM, 2024)

Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. - Anik Mallik; Dawei Chen; Kyungtae Han; Jiang (Linda) Xie; Zhu Han 001 (ICC, 2024)

Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Jiang (Linda) Xie; Zhu Han 001 (IV, 2024)

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. - Jessica Maria Echterhoff; An Yan 003; Kyungtae Han; Amr Abdelraouf; Rohit Gupta; Julian J. McAuley (WACV, 2024)

Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. - Ziye Qin; Siyan Li; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (CoRR, 2024)

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving. - Yunsheng Ma; Amr Abdelraouf; Rohit Gupta; Ziran Wang; Kyungtae Han (CoRR, 2024)

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment. - Can Cui; Yunsheng Ma; Zichong Yang; Yupeng Zhou; Peiran Liu; Juanwu Lu; Lingxi Li; Yaobin Chen; Jitesh H. Panchal; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; et al. (CoRR, 2024)

Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang (Linda) Xie; Zhu Han 001 (Intell. Converged Networks, 2024)

Driver Digital Twin for Online Recognition of Distracted Driving Behaviors. - Yunsheng Ma; Runjia Du; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing. - Yuru Zhang; Qiang Liu 013; Haoxin Wang; Dawei Chen; Kyungtae Han (IEEE Trans. Veh. Technol., 2024)

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices. - Xiaolong Tu; Dawei Chen; Kyungtae Han; Onur Altintas; Haoxin Wang (HotMobile, 2025)

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. - Xishun Liao; Zhouqiao Zhao; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Jiaqi Ma 003; Guoyuan Wu 001 (IEEE Trans. Intell. Veh., 2025)

PDB: Not All Drivers Are the Same - A Personalized Dataset for Understanding Driving Behavior. - Chuheng Wei; Ziye Qin; Siyan Li; Ziyan Zhang; Xuanpeng Zhao; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Matthew J. Barth; Guoyuan Wu 001 (CoRR, 2025)

NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models. - Sung-Yeon Park; Can Cui; Yunsheng Ma; Ahmadreza Moradipari; Rohit Gupta; Kyungtae Han; Ziran Wang (CoRR, 2025)

Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance. - Kyungtae Han; Yitao Chen; Rohit Gupta; Onur Altintas (CoRR, 2025)

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior. - Junda Wu; Jessica Maria Echterhoff; Kyungtae Han; Amr Abdelraouf; Rohit Gupta; Julian J. McAuley (CoRR, 2025)

On Learning Closed-Loop Probabilistic Multi-Agent Simulator. - Juanwu Lu; Rohit Gupta; Ahmadreza Moradipari; Kyungtae Han; Ruqi Zhang; Ziran Wang (CoRR, 2025)

Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. - Ziye Qin; Siyan Li; Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (IEEE Robotics Autom. Lett., 2025)