Intent detection and semantic parsing for navigation dialogue language processing. - Yang Zheng; Yongkang Liu 005; John H. L. Hansen (ITSC, 2017)

Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue. - Yang Zheng; Yongkang Liu 005; John H. L. Hansen (Intelligent Vehicles Symposium, 2017)

Towards Complexity Level Classification of Driving Scenarios Using Environmental Information. - Yongkang Liu 005; John H. L. Hansen (ITSC, 2019)

Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. - Ekim Yurtsever; Yongkang Liu 005; Jacob Lambert 001; Chiyomi Miyajima; Eijiro Takeuchi; Kazuya Takeda; John H. L. Hansen (ITSC, 2019)

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)

Demo: Nearby Aggressive Driving Detection. - Tomohiro Matsuda; Seyhan Ucar; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (SEC, 2022)

PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (ITSC, 2022)

Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras. - Jiahe Cao; Zhouqiao Zhao; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (ITSC, 2022)

Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. - Zhengwei Bai; Guoyuan Wu 001; Xuewei Qi; Yongkang Liu 005; Kentaro Oguchi 001; Matthew J. Barth (IV, 2022)

Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network. - Yongkang Liu 005; Xuewei Qi; Emrah Akin Sisbot; Kentaro Oguchi 001 (IV, 2022)

An enhanced driver's risk perception modeling based on gate recurrent unit network. - Peng Ping; Weiping Ding 001; Yongkang Liu 005; Kazuya Takeda (IV, 2022)

Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. - Zhensong Wei; Xuewei Qi; Zhengwei Bai; Guoyuan Wu 001; Saswat Priyadarshi Nayak; Peng Hao 001; Matthew J. Barth; Yongkang Liu 005; Kentaro Oguchi 001 (IV, 2022)

Aggressive Driving Detection on Other Vehicles. - Tomohiro Matsuda; Seyhan Ucar; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (VTC Fall, 2022)

Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR. - Zhengwei Bai; Saswat Priyadarshi Nayak; Xuanpeng Zhao; Guoyuan Wu 001; Matthew J. Barth; Xuewei Qi; Yongkang Liu 005; Kentaro Oguchi 001 (CoRR, 2022)

Continual Reinforcement Learning with Group Symmetries. - Shiqi Liu 005; Mengdi Xu; Peide Huang; Yongkang Liu 005; Kentaro Oguchi 001; Ding Zhao (CoRR, 2022)

VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (CoRR, 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)

Continual Vision-based Reinforcement Learning with Group Symmetries. - Shiqi Liu 005; Mengdi Xu; Peide Huang; Xilun Zhang; Yongkang Liu 005; Kentaro Oguchi 001; Ding Zhao (CoRL, 2023)

Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles. - Yongkang Liu 005; Chianing Wang; Kentaro Oguchi 001 (SEC, 2023)

Dynamic Feature Sharing for Cooperative Perception from Point Clouds. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (ITSC, 2023)

Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. - Hao Gao 008; Yongkang Liu 005; Emrah Akin Sisbot; Yashar Zeiynali Farid; Kentaro Oguchi 001; Zhu Han 001 (IV, 2023)

Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models. - Saswat Priyadarshi Nayak; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (PLANS, 2023)

Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions. - Seyhan Ucar; Sachin Sharma 003; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001; Richard T. Meyer (SECON, 2023)

Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (CoRR, 2023)

Distracted driving detection based on the fusion of deep learning and causal reasoning. - Peng Ping; Cong Huang; Weiping Ding 001; Yongkang Liu 005; Chiyomi Miyajima; Kazuya Takeda (Inf. Fusion, 2023)

Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform. - Zhengwei Bai; Guoyuan Wu 001; Xuewei Qi; Yongkang Liu 005; Kentaro Oguchi 001; Matthew J. Barth (IEEE Intell. Transp. Syst. Mag., 2023)

Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR. - Zhengwei Bai; Saswat Priyadarshi Nayak; Xuanpeng Zhao; Guoyuan Wu 001; Matthew J. Barth; Xuewei Qi; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Pillar Attention Encoder for Adaptive Cooperative Perception. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Hang Qiu 001; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001 (IEEE Internet Things J., 2024)

A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. - Zhengwei Bai; Guoyuan Wu 001; Matthew J. Barth; Yongkang Liu 005; Emrah Akin Sisbot; Kentaro Oguchi 001; Zhitong Huang (IEEE Trans. Intell. Transp. Syst., 2024)

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations. - Hongyu Ke; Jack Morris; Kentaro Oguchi 001; Xiaofei Cao; Yongkang Liu 005; Haoxin Wang; Yi Ding 010 (ICLR, 2025)