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ORCIDTao Song 0003
Person information
- affiliation: Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
- affiliation (PhD): Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
Other persons with the same name
- Tao Song — disambiguation page
- Tao Song 0001
![[0000-0002-0130-3340]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0130-3340")
— China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China (and 2 more) - Tao Song 0002 — SenseTime Research, Shanghai, China
- Tao Song 0004 — Beijing Institute of Technology, School of Aerospace Engineering, Beijing, China
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Journal Articles
- 2024
[j12]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. 17(12): 4461-4464 (2024)- [j11]Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan:
Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. IEEE Trans. Dependable Secur. Comput. 21(5): 4843-4860 (2024) - [j10]Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan:
Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 34:1-34:23 (2024) - 2023
- [j9]Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan:
WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 145:1-145:16 (2023) - [j8]Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan:
Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2494-2505 (2023) - 2022
- [j7]Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan:
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Trans. Big Data 8(3): 644-657 (2022) - 2021
- [j6]Rui Ren, Chunghsuan Wu, Zhouwang Fu, Tao Song, Yanqiang Liu, Zhengwei Qi, Haibing Guan:
Efficient shuffle management for DAG computing frameworks based on the FRQ model. J. Parallel Distributed Comput. 149: 163-173 (2021) - [j5]Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. IEEE Netw. 35(4): 82-87 (2021) - [j4]Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan:
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. Trans. Data Sci. 2(4): 32:1-32:15 (2021) - 2018
- [j3]Tao Song, Jiajun Wang, Jiewei Wu, Ruhui Ma, Alei Liang, Tao Gu, Zhengwei Qi:
FastDesk: A remote desktop virtualization system for multi-tenant. Future Gener. Comput. Syst. 81: 478-491 (2018) - 2017
- [j2]Tao Song, Yuchen Liu, Yiding Wang, Ruhui Ma, Alei Liang, Zhengwei Qi, Haibing Guan:
Ashman: A Bandwidth Fragmentation-Based Dynamic Flow Scheduling for Data Center Networks. Comput. J. 60(10): 1498-1509 (2017) - 2014
- [j1]Yongqiang Gao, Haibing Guan, Zhengwei Qi, Tao Song, Fei Huan, Liang Liu:
Service level agreement based energy-efficient resource management in cloud data centers. Comput. Electr. Eng. 40(5): 1621-1633 (2014)
Conference and Workshop Papers
- 2024
- [c29]Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan:
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CVPR 2024: 10812-10821 - [c28]Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan:
SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. ECCV (19) 2024: 291-308 - 2023
- [c27]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI 2023: 11237-11244 - [c26]Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Information Bound and Its Applications in Bayesian Neural Networks. ECAI 2023: 3010-3017 - [c25]Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP 2023: 1-5 - [c24]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. ICCV 2023: 5018-5028 - [c23]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML 2023: 20763-20786 - [c22]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD 2023: 3249-3261 - [c21]Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Self-supervised Multi-object Tracking with Cycle-Consistency. MMM (2) 2023: 483-495 - [c20]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS 2023 - 2022
- [c19]Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Improving Bayesian Neural Networks by Adversarial Sampling. AAAI 2022: 10110-10117 - 2021
- [c18]Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI 2021: 1-5 - [c17]Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan:
Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC 2021: 47-60 - [c16]Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan:
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR 2021: 3815-3824 - [c15]Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP 2021: 2205-2209 - [c14]Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan:
Self-Supervised Vessel Segmentation via Adversarial Learning. ICCV 2021: 7516-7525 - [c13]Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. ICIP 2021: 2508-2512 - [c12]Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan:
Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI 2021: 599-605 - 2020
- [c11]Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. AAAI 2020: 3765-3772 - [c10]Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
VTT: Long-term Visual Tracking with Transformers. ICPR 2020: 9585-9592 - 2019
- [c9]Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Object Guided External Memory Network for Video Object Detection. ICCV 2019: 6677-6686 - [c8]Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia 2019: 2296-2304 - 2018
- [c7]Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan:
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. BIBM 2018: 532-539 - [c6]Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia 2018: 941-949 - [c5]Zhouwang Fu, Tao Song, Zhengwei Qi, Haibing Guan:
Efficient shuffle management with SCache for DAG computing frameworks. PPoPP 2018: 305-316 - 2017
- [c4]Shusheng He, Alei Liang, Ling Lin, Tao Song:
A Continuously Adaptive Template Matching Algorithm for Human Tracking. IRC 2017: 303-309 - 2016
- [c3]Kun Wang, Tao Song, Alei Liang:
Mmda: Metadata Based Malware Detection on Android. CIS 2016: 598-602 - [c2]Meng Lai, Jiajun Wang, Tao Song, Ning Liu, Zhengwei Qi, Weijia Zhou:
VSP: A Virtual Smartphone Platform to Enhance the Capability of Physical Smartphone. Trustcom/BigDataSE/ISPA 2016: 1434-1441 - 2015
- [c1]Zhouwang Fu, Tao Song, Sheng Wang, Fuzong Wang, Zhengwei Qi:
Seagull - A Real-Time Coflow Scheduling System. CSCloud 2015: 540-545
Informal and Other Publications
- 2025
- [i17]Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan:
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. CoRR abs/2501.00216 (2025) - [i16]Jiaru Zhang, Zesong Wang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan:
THOR: A Generic Energy Estimation Approach for On-Device Training. CoRR abs/2501.16397 (2025) - [i15]Kuai Yu, Xiaoyu Wu, Peishen Yan, Qingqian Yang, Linshan Jiang, Hao Wang, Yang Hua, Tao Song, Haibing Guan:
POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning. CoRR abs/2510.19056 (2025) - 2024
- [i14]Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan:
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR abs/2403.11162 (2024) - [i13]Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan:
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR abs/2405.19931 (2024) - [i12]Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang:
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR abs/2407.15389 (2024) - [i11]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR abs/2408.07096 (2024) - [i10]Zhibai Huang, Yihan Shen, Yongchen Xie, Zhixiang Wei, Yun Wang, Fangxin Liu, Tao Song, Zhengwei Qi:
Phantom: Constraining Generative Artificial Intelligence Models for Practical Domain Specific Peripherals Trace Synthesizing. CoRR abs/2411.06376 (2024) - 2023
- [i9]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. CoRR abs/2302.04578 (2023) - [i8]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR abs/2307.01217 (2023) - [i7]Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan:
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. CoRR abs/2307.11339 (2023) - [i6]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. CoRR abs/2308.10279 (2023) - [i5]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. CoRR abs/2311.14975 (2023) - [i4]Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao:
PFLlib: Personalized Federated Learning Algorithm Library. CoRR abs/2312.04992 (2023) - [i3]Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad R. Haghighat, Haibing Guan:
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks. CoRR abs/2312.12484 (2023) - 2022
- [i2]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR abs/2212.01197 (2022) - 2021
- [i1]Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks. CoRR abs/2105.11651 (2021)
Coauthor Index
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