Yongkang Liu

44 papers A* 1B 3C 7Misc 4Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning.
CoRR
Ziyan Zhang, Changxin Wan, Peng Hao, Kanok Boriboonsomsin, Matthew J. Barth, Yongkang Liu, Seyhan Ucar, Guoyuan Wu
2025 — conf
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection.
EMNLP (Industry Track)
Can Cui, Yongkang Liu, Seyhan Ucar, Juntong Peng, Ahmadreza Moradipari, Maryam Khabazi, Ziran Wang
2025 A* conf
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations.
ICLR
Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding
2025 J jnl
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations.
CoRR
Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding
2025 B conf
Poster: Connected Vehicle Surveillance.
MobiHoc
Can Cui, Seyhan Ucar, Yongkang Liu, Ahmadreza Moradipari, Akin Sisbot, Kentaro Oguchi
2025 Misc conf
TinyBEV: Compact Temporal Fusion for Multi-View 3D Perception.
SEC
Hongyu Ke, Jack Morris, Yongkang Liu, Satoshi Kitai, Kentaro Oguchi, Yi Ding, Haoxin Wang
2024 J jnl
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation.
IEEE Trans. Intell. Transp. Syst.
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang
2024 J jnl
Pillar Attention Encoder for Adaptive Cooperative Perception.
IEEE Internet Things J.
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Hang Qiu, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2023 Misc conf
Continual Vision-based Reinforcement Learning with Group Symmetries.
CoRL
Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
2023 J jnl
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation.
CoRR
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2023 J jnl
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform.
IEEE Intell. Transp. Syst. Mag.
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
2023 J jnl
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR.
IEEE Trans. Intell. Transp. Syst.
Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2023 J jnl
Distracted driving detection based on the fusion of deep learning and causal reasoning.
Inf. Fusion
Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda
2023 — conf
Dynamic Feature Sharing for Cooperative Perception from Point Clouds.
ITSC
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2023 — conf
Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models.
PLANS
Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2023 B conf
Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions.
SECON
Seyhan Ucar, Sachin Sharma, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Richard T. Meyer
2023 C conf
Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications.
IV
Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han
2023 Misc conf
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles.
SEC
Yongkang Liu, Chianing Wang, Kentaro Oguchi
2022 J jnl
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation.
CoRR
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang
2022 — conf
Aggressive Driving Detection on Other Vehicles.
VTC Fall
Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 C conf
An enhanced driver's risk perception modeling based on gate recurrent unit network.
IV
Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda
2022 J jnl
Continual Reinforcement Learning with Group Symmetries.
CoRR
Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
2022 J jnl
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR.
CoRR
Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi
2022 Misc conf
Demo: Nearby Aggressive Driving Detection.
SEC
Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 C conf
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey.
IV
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
2022 J jnl
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey.
CoRR
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
2022 C conf
Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network.
IV
Yongkang Liu, Xuewei Qi, Emrah Akin Sisbot, Kentaro Oguchi
2022 — conf
PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR.
ITSC
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 J jnl
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR.
CoRR
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 — conf
Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras.
ITSC
Jiahe Cao, Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 C conf
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud.
IV
Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi
2022 J jnl
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud.
CoRR
Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi
2022 J jnl
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection.
CoRR
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
2022 J jnl
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study.
IEEE Trans. Intell. Veh.
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
2021 J jnl
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study.
CoRR
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
2020 C conf
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron.
IV
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
2020 J jnl
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron.
CoRR
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
2020 C conf
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles.
IV
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
2020 J jnl
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles.
CoRR
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
2019 — conf
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer.
ITSC
Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
2019 J jnl
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer.
CoRR
Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
2019 — conf
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information.
ITSC
Yongkang Liu, John H. L. Hansen
2017 — conf
Intent detection and semantic parsing for navigation dialogue language processing.
ITSC
Yang Zheng, Yongkang Liu, John H. L. Hansen
2017 B conf
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue.
Intelligent Vehicles Symposium
Yang Zheng, Yongkang Liu, John H. L. Hansen