Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. - Rui Song 007; Liguo Zhou; Venkatnarayanan Lakshminarasimhan; Andreas Festag; Alois C. Knoll (ITSC, 2022)

Intelligent Roadside Infrastructure for Connected Mobility. - Shiva Agrawal; Rui Song 007; Kristina Doycheva; Alois Knoll; Gordon Elger (SMARTGREENS/VEHITS (Selected Papers), 2022)

Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization. - Shiva Agrawal; Rui Song 007; Akhil Kohli; Andreas Korb; Maximilian Andre; Erik Holzinger; Gordon Elger (VEHITS, 2022)

Edge-Aided Sensor Data Sharing in Vehicular Communication Networks. - Rui Song 007; Anupama Hegde; Numan Senel; Alois C. Knoll; Andreas Festag (VTC Spring, 2022)

ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals. - Rui Song 007; Liguo Zhou; Lingjuan Lyu; Andreas Festag; Alois C. Knoll (CoRR, 2022)

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception. - Runsheng Xu; Xin Xia 007; Jinlong Li; Hanzhao Li; Shuo Zhang; Zhengzhong Tu; Zonglin Meng; Hao Xiang; Xiaoyu Dong; Rui Song 007; Hongkai Yu; Bolei Zhou; et al. (CVPR, 2023)

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. - Rui Song 007; Dai Liu; Dave Zhenyu Chen; Andreas Festag; Carsten Trinitis; Martin Schulz 001; Alois Knoll (IJCNN, 2023)

Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach. - Anupama Hegde; Rui Song 007; Andreas Festag (IEEE Access, 2023)

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection. - Rui Song 007; Lingjuan Lyu; Wei Jiang; Andreas Festag; Alois C. Knoll (CoRR, 2023)

Residual encoding framework to compress DNN parameters for fast transfer. - Liguo Zhou; Rui Song 007; Guang Chen 001; Andreas Festag; Alois Knoll (Knowl. Based Syst., 2023)

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles. - Rui Song 007; Chenwei Liang; Hu Cao; Zhiran Yan; Walter Zimmer; Markus Gross 003; Andreas Festag; Alois Knoll (CVPR, 2024)

TUMTraf V2X Cooperative Perception Dataset. - Walter Zimmer; Gerhard Arya Wardana; Suren Sritharan; Xingcheng Zhou; Rui Song 007; Alois C. Knoll (CVPR, 2024)

Generative Dataset Distillation Based on Diffusion Model. - Duo Su; Junjie Hou; Guang Li 008; Ren Togo; Rui Song 007; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (19), 2024)

First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems. - Rui Song 007; Andreas Festag; Abhishek Dinkar Jagtap; Maximilian Bialdyga; Zhiran Yan; Maximilian Otte; Sanath Tiptur Sadashivaiah; Alois Knoll (IV, 2024)

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems. - Rui Song 007; Runsheng Xu; Andreas Festag; Jiaqi Ma 003; Alois Knoll (IEEE Trans. Intell. Veh., 2024)

ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals. - Rui Song 007; Liguo Zhou; Lingjuan Lyu; Andreas Festag; Alois Knoll (IEEE Internet Things J., 2024)

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors. - Walter Zimmer; Ross Greer; Xingcheng Zhou; Rui Song 007; Marc Pavel; Daniel Lehmberg; Ahmed Alaaeldin Ghita; Akshay Gopalkrishnan; Mohan M. Trivedi; Alois Knoll (CoRR, 2025)

CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving. - Rui Song 007; Chenwei Liang; Yan Xia 003; Walter Zimmer; Hu Cao; Holger Caesar; Andreas Festag; Alois Knoll (CoRR, 2025)

Towards Vision Zero: The Accid3nD Dataset. - Walter Zimmer; Ross Greer; Daniel Lehmberg; Marc Pavel; Holger Caesar; Xingcheng Zhou; Ahmed Alaaeldin Ghita; Mohan M. Trivedi; Rui Song 007; Hu Cao; Akshay Gopalkrishnan; Alois C. Knoll (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset. - Walter Zimmer; Ross Greer; Xingcheng Zhou; Rui Song 007; Marc Pavel; Daniel Lehmberg; Ahmed Alaaeldin Ghita; Akshay Gopalkrishnan; Mohan M. Trivedi; Alois Knoll (CoRR, 2025)