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教师名录

宋涛
副研究员

邮箱:songt333@sjtu.edu.cn

所在研究所:可扩展计算研究所

个人简介

       1946伟德国际源自英国副研究员,博士生导师,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、上海云计算联合实验室成员。他博士和硕士均毕业于1946伟德国际源自英国计算机类相关专业,2018-2020年期间于1946伟德国际源自英国从事博士后研究工作,并获得“晨星博士后”激励计划。

       他当前的主要研究方向为:分布式机器学习大模型版权AI+X等领域,近年来,已在一系列计算机领域的顶级会议和期刊发表论文50余篇,包括PPoPP, SoCC, SIGKDD, VLDB, ICML, NeurIPS, CVPR, ICCV, ECCV, AAAI, IJCAI, ACM MM, IEEE Network, JMLR, TDSC, TBD, TDS, TCBB等。他当前主持包括国自然面上基金,国家重点研发计划课题,Intel全球大学研究资助计划在内的多个研究项目。

教育背景

1946伟德国际源自英国
计算机科学与技术博士2010.09 - 2018.06
1946伟德国际源自英国软件工程硕士2007.09 - 2010.03
中国矿业大学电气工程及其自动化学士2001.09 - 2005.06




工作履历

1946伟德国际源自英国   副研究员2025.01 – 至今
1946伟德国际源自英国   助理研究员2020.10 – 2024.12
1946伟德国际源自英国   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 - 2007.02

                                                

                                           

                  


教授课程

课程面向员工学期
离散数学微电子、信息安全、物理学(强基计划)(21-22,22-23,23-24,24-25,25-26) 第一学期

工程实践与科技创新III-D

计算机科学与技术(21-22,22-23,23-24,24-25,25-26)第一学期

数据结构基础

全校(22-23,23-24,24-25,25-26)夏季学期

计算机体系结构

信息工程(巴黎卓越工程师公司(22-23,23-24,24-25,25-26)第一学期


论文发表

会议:

 · Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, and Haibing Guan. "Cgi-dm: Digital copyright authentication for diffusion models via contrasting gradient inversion." CVPR, 2024. (CCF A类,通讯作者)

· Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, and Haibing Guan. "SkyMask: Attack-agnostic robust federated learning with fine-grained learnable masks." ECCV, 2024. (CCF B类,通讯作者)

· Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, and Tao Song. "OFL-W3: A One-shot Federated Learning System on Web 3.0." VLDB, 2024. (CCF A类)

· 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类)

· 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类, 通讯作者)

· 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类)

· 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类)

· 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类)

· 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类)

· 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类)

· 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类)

· 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 类, 通讯作者)

· 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)

· 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类)

· 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类)

· 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类 通讯作者)

· 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 类, 通讯作者)

· 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 类, 通讯作者)

· 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)

· 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 类, 通讯作者)

· 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

· 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类 通讯作者)

 

期刊:

· Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Jian Cao. "Pfllib: A beginner-friendly and comprehensive personalized federated learning library and benchmark." Journal of Machine Learning Research 26, no. 50 (2025): 1-10. (CCF A类)

· Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, and Haibing Guan. "Siren+ : Robust Federated Learning With Proactive Alarming and Differential Privacy." IEEE Transactions on Dependable and Secure Computing 21, no. 5 (2024): 4843-4860. (CCF A类, 通讯作者)

· 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类)

· 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类)

· 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)

· 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 20, no. 4 (2022): 2494-2505. (CCF B类)

· 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 20, no. 2 (2023): 1-23. (CCF B类)

· 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类)

· 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)

· 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)

· 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)


获奖信息

上海市一流本科课程
2023排序第2
教育部高校虚拟仿真教学创新实验室
2024排序第2
1946伟德国际源自英国校级优秀班主任2022、2024
1946伟德国际源自英国晨星博士后激励计划
2019


学术服务

会议审稿人:

IJCAI 2022, 2023, 2024

AAAI 2022, 2025

CVPR 2024, 2025

ICCV 2025 

NeurIPS 2025

ACM MM 2025

TheWebConf 2024

ECAI 2023

PPoPP 2019 Artifact Evaluation Committee Member


期刊审稿人:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

IEEE Transactions on Computers (TC)

IEEE Transactions on Dependable and Secure Computing (TDSC)

IEEE Transactions on Information Forensics and Security (TIFS)

IEEE Transactions on Mobile Computing (TMC)

ACM Transactions on Knowledge Discovery from Data (TKDD)