教师名录

宋涛 助理研究员

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办公室电话:

办公地点:电信学院3号楼东309室

电子邮件:songt333@cs.sjtu.edu.cn

实验室: 省部共建国家重点实验室培育基地、上海市可扩展计算与系统重点实验室

  • 研究兴趣
  • 教育背景
  • 工作经验
  • 教授课程
  • 论文发表
  • 项目资助
  • 获奖信息
  • 学术服务

分布式机器学习分布式计算/云计算,System for AI,  AI for System.

实验室: 省部共建国家重点实验室培育基地、上海市可扩展计算与系统重点实验室、上海市云计算联合实验室

上海交通大学         计算机科学与技术             博士      2010.09 - 2018.06
上海交通大学         软件工程                          硕士      2007.09 - 2010.03

中国矿业大学         电气工程及自动化             本科      2001.09 - 2005.06

上海交通大学                              助理研究员         2020.10 – 至今

上海交通大学                              博士后               2018.09 – 2020.09

国家安全生产监督管理总局           电气工程师         2005.07 - 2007.07

1.     离散数学 2023 2022 2021

2.     工程实践与科技创新 III-D (系统虚拟化) 2023

3.     数据结构基础 2023 2022

4.     云计算和人工智能前沿进展  2019

会议:

1.     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. (CCF A)

2.     Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML, 2023. (CCF A通讯作者)

3.     Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, and Haibing Guan. "GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning." ICCV, 2023. (CCF A)

4.     Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Fedcp: Separating Feature Information for Personalized Federated Learning Via Conditional Policy. ACM SIGKDD, 2023. (CCF A)

5.     Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI, 2023. (CCF A)

6.     Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan. Information Bound and its Applications in Bayesian Neural Networks. ECAI, 2023. (CCF B)

7.     Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP, 2023. (CCF B)

8.     Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan. Improving Bayesian Neural Networks by Adversarial Sampling. AAAI, 2022. (CCF A)

9.     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.CCF A 通讯作者)

10.  Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, and Haibing Guan. Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI, 2021. (CCF A类,通讯作者)

11.  Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, and Haibing Guan. Self-supervised vessel segmentation via adversarial learning. ICCV, 2021. (CCF A)

12.  Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, and Haibing Guan. Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC, 2021. (CCF B)

13.  Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan. Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP, 2021. (CCF B 通讯作者)

14.  Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Reinforcing Neural Network Stability with Attractor Dynamics, AAAI, 2020.CCF A 通讯作者)

15.  Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia, October 19, 2019. (CCF A 通讯作者)

16.  Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Object Guided External Memory Network for Video Object Detection. ICCV, October 27, 2019.CCF A 类)

17.  Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Trackingassisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia, 2018.CCF A 通讯作者)

18.  Zhouwang Fu, Tao Song, Zhengwei Qi, Haibing Guan. Efficient shuffle management with SCache for DAG computing frameworks. In Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018.CCF A 类)

19.  Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, and Haibing Guan. Deep Learning Based Fetal Middle Cerebral Artery Segmentation in Large-Scale Ultrasound Images. BIBM, 2018. (CCF B 通讯作者)

 

期刊:

1.     Rui Zhang, Shuo Wang, Ruhui Ma, Yang Hua, Tao Song, Yunyun Cao, and Haibing Guan. MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023). (CCF B)

2.     Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, and Haibing Guan. WH2D2N2: Distributed AI-Enabled OK-ASN Service for Web of Things. ACM Transactions on Asian and Low-Resource Language Information Processing 22, no. 5 (2023): 1-16. (CCF B)

3.     Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, and Haibing Guan. Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. ACM/IMS Transactions on Data Science (TDS) 2, no. 4 (2022): 1-15. (Transactions 期刊,共同通讯作者)

4.     Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, and Haibing Guan. Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2022. (Transactions期刊)

5.     Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, and Haibing Guan. "Robust Searching-based Gradient Collaborative Management in Intelligent Transportation System." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022. (Transactions期刊)

6.     Rui Ren, Chunghsuan Wu, Zhouwang Fu, Tao Song, Yanqiang Liu, Zhengwei Qi, and Haibing Guan. Efficient shuffle management for DAG computing frameworks based on the FRQ model. Journal of Parallel and Distributed Computing (JPDC) 149 (2021): 163-173. (CCF B)

7.     Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, and Haibing Guan. SpaceDML: Enabling distributed machine learning in space information networks. IEEE Network 35, no. 4 (2021): 82-87. (SCI IF 10.294)

8.     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 Transactions on Big Data, 2018.Transactions期刊共同通讯作者)

9.     Tao Song, Yucheng Liu, Yiding Wang, Ruhui Ma, Alei Liang, Zhengwei Qi, Haibing Guan, Ashman: A Bandwidth Fragmentation-Based Dynamic Flow Scheduling for Data Center Networks. The Computer Journal, 2017, 60(10), 1498-1509.CCF B 类)

1. 20229–20258 An XPU accelerated decentralized ML framework for the Web3 era 资助方:Intel   PI

2. 20198–20227 A Viable Path Towards Ubiquitous Intelligent Computing   资助方:Intel   共同PI 

1.      上海交通大学晨星博士后激励计划(2019

IJCAI 2022 2023          Reviewer

ECAI 2023               Reviewer

AAAI 2022               Reviewer

Transactions on Dependable and Secure Computing     Reviewer

The Computer Journal                            Reviewer

IJCNN 2019                                    Reviewer

PPoPP 2019                        Artifact Evaluation Committee Member

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