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ORCIDRui Song 0007
Person information
- affiliation: Technical University of Munich, TUM, Chair of Robotics, Artificial Intelligence and Real-time Systems, Garching, Germany
- affiliation: Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Ingolstadt, Germany
Other persons with the same name
- Rui Song — disambiguation page
- Rui Song 0001 — Beijing Jiaotong University, School of Traffic and Transportation, China
- Rui Song 0002
![[0000-0002-4119-4433]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4119-4433")
— Shandong University, School of Control Science and Engineering, China - Rui Song 0003 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
- Rui Song 0004 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Rui Song 0005 — University College London, Department of Mechanical Engineering, UK
- Rui Song 0006 — North Carolina State University, North Carolina State University, Raleigh, NC, USA (and 1 more)
- Rui Song 0008 — Jilin University, School of Artificial Intelligence, Changchun, China
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Journal Articles
- 2024
[j4]Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois Knoll:
ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals. IEEE Internet Things J. 11(6): 9458-9472 (2024)- [j3]Rui Song, Runsheng Xu, Andreas Festag, Jiaqi Ma, Alois Knoll:
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems. IEEE Trans. Intell. Veh. 9(1): 958-969 (2024) - 2023
- [j2]Anupama Hegde, Rui Song, Andreas Festag:
Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach. IEEE Access 11: 87225-87244 (2023) - [j1]Liguo Zhou, Rui Song, Guang Chen, Andreas Festag, Alois Knoll:
Residual encoding framework to compress DNN parameters for fast transfer. Knowl. Based Syst. 277: 110815 (2023)
Conference and Workshop Papers
- 2023
- [c5]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. IJCNN 2023: 1-10 - 2022
- [c4]Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, Alois C. Knoll:
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. ITSC 2022: 3502-3508 - [c3]Shiva Agrawal, Rui Song, Kristina Doycheva, Alois Knoll, Gordon Elger:
Intelligent Roadside Infrastructure for Connected Mobility. SMARTGREENS/VEHITS (Selected Papers) 2022: 134-157 - [c2]Shiva Agrawal, Rui Song, Akhil Kohli, Andreas Korb, Maximilian Andre, Erik Holzinger, Gordon Elger:
Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization. VEHITS 2022: 360-367 - [c1]Rui Song, Anupama Hegde, Numan Senel, Alois C. Knoll, Andreas Festag:
Edge-Aided Sensor Data Sharing in Vehicular Communication Networks. VTC Spring 2022: 1-7
Informal and Other Publications
- 2024
- [i8]Rui Song, Chenwei Liang, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll:
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles. CoRR abs/2402.07635 (2024) - [i7]Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll:
TUMTraf V2X Cooperative Perception Dataset. CoRR abs/2403.01316 (2024) - 2023
- [i6]Rui Song, Runsheng Xu, Andreas Festag, Jiaqi Ma, Alois C. Knoll:
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems. CoRR abs/2304.01534 (2023) - [i5]Rui Song, Lingjuan Lyu, Wei Jiang, Andreas Festag, Alois C. Knoll:
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection. CoRR abs/2305.11654 (2023) - 2022
- [i4]Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, Alois C. Knoll:
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. CoRR abs/2204.00215 (2022) - [i3]Rui Song, Anupama Hegde, Numan Senel, Alois C. Knoll, Andreas Festag:
Edge-Aided Sensor Data Sharing in Vehicular Communication Networks. CoRR abs/2206.08882 (2022) - [i2]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois C. Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. CoRR abs/2208.11311 (2022) - [i1]Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois C. Knoll:
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals. CoRR abs/2212.05602 (2022)
Coauthor Index
aka: Alois Knoll
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