Tao Song

Orcid: 0000-0002-5965-3140

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
THOR: A Generic Energy Estimation Approach for On-Device Training.
CoRR, January, 2025

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding.
CoRR, January, 2025

2024
OFL-W3: A One-shot Federated Learning System on Web 3.0.
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

Poisoning with A Pill: Circumventing Detection in Federated Learning.
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

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

PFLlib: Personalized Federated Learning Algorithm Library.
CoRR, 2023

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.
CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised Multi-object Tracking with Cycle-Consistency.
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

Information Bound and Its Applications in Bayesian Neural Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.
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

Improving Bayesian Neural Networks by Adversarial Sampling.
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

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.
IEEE Netw., 2021

Efficient shuffle management for DAG computing frameworks based on the FRQ model.
J. Parallel Distributed Comput., 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Positional Mask Attention for Video Sequence Modeling.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
VTT: Long-term Visual Tracking with Transformers.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Reinforcing Neural Network Stability with Attractor Dynamics.
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

Object Guided External Memory Network for Video Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
FastDesk: A remote desktop virtualization system for multi-tenant.
Future Gener. Comput. Syst., 2018

Efficient shuffle management with SCache for DAG computing frameworks.
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

A Continuously Adaptive Template Matching Algorithm for Human Tracking.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

2016
VSP: A Virtual Smartphone Platform to Enhance the Capability of Physical Smartphone.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Mmda: Metadata Based Malware Detection on Android.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

2015
Seagull - A Real-Time Coflow Scheduling System.
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


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