Tao Song
Orcid: 0000-0002-5965-3140Affiliations:
- Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China (PhD)
According to our database1,
Tao Song
authored at least 48 papers
between 2014 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
CoRR, January, 2025
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding.
CoRR, January, 2025
2024
Proc. VLDB Endow., August, 2024
Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2024
Phantom: Constraining Generative Artificial Intelligence Models for Practical Domain Specific Peripherals Trace Synthesizing.
CoRR, 2024
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks.
CoRR, 2024
SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks.
Proceedings of the Computer Vision - ECCV 2024, 2024
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
<i>WH</i><sup>2</sup><i>D</i><sup>2</sup><i>N</i><sup>2</sup>: Distributed AI-enabled OK-ASN Service for Web of Things.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.
Proceedings of the International Conference on Machine Learning, 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks.
IEEE Trans. Big Data, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data.
Trans. Data Sci., 2021
IEEE Netw., 2021
J. Parallel Distributed Comput., 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Future Gener. Comput. Syst., 2018
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018
Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Ashman: A Bandwidth Fragmentation-Based Dynamic Flow Scheduling for Data Center Networks.
Comput. J., 2017
Proceedings of the First IEEE International Conference on Robotic Computing, 2017
2016
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016
2015
Proceedings of the IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015
2014
Service level agreement based energy-efficient resource management in cloud data centers.
Comput. Electr. Eng., 2014