史清江
职务（称）
实验室主任/教授
教育背景
2006.9~2011.1 上海交通大学，电子工程系
1999.9~2006.7 中国石油大学（华东），电子信息工程系
联系邮箱
shiqj@sribd.cn
研究方向
网络系统优化设计、网络/信号大数据、分布式机器学习
个人介绍
史清江，国家重点研发计划项目首席科学家，同济大学教授/博导，深圳市大数据研究院客座研究员兼信息系统大数据实验室主任，研究兴趣包括网络系统优化设计、网络/信号大数据、分布式机器学习。曾担任国际信号处理顶级期刊IEEE TSP编委，授权国家发明专利40余项，发表IEEE权威期刊论文80余篇，总引用6000余次（单篇最高引1400余次），连续三年入选爱思唯尔高被引学者，全球前2%顶尖科学家等榜单。主持国家重点研发计划项目、国家自然科学基金重点项目、国防基础加强课题等国家级项目以及华为技术有限公司、中电科等企业院所委托的技术服务项目。研究成果荣获IEEE信号处理协会最佳论文奖，华为优秀技术成果奖、华为技术合作成果转化二等奖、中国通信学会科学技术一等奖（自然类）、日内瓦国际发明展发明金奖，全国百篇优秀博士学位论文提名奖，上海市优博等。
代表作
[1] Qingjiang Shi, Mesiam Razaviyayn, Zhi.-Quan Luo, and Chen He. “An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast Channel,” IEEE Transactions on Signal Processing, vol.59, no. 9, pp. 4331-4340, Sept. 2011. google citation 1466, ESI高被引论文，获提名2016 IEEE SPS Best Paper Award
[2] H. Sun, X. Chen, Qingjiang Shi, M. Hong, X. Fu and N. D. Sidiropoulos, "Learning to optimize: training deep neural networks for interference management," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5438-5453, 15 Oct.15, 2018. 加上会议版Google citation 792, ESI高被引论文，获2022 IEEE SPS Best Paper Award
[3] Qingjiang Shi, Liang Liu, Weiqiang Xu, Rui Zhang, “Joint transmit beamforming and receive power splitting for MISO SWIPT systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 6, pp. 3269-3280, Jun. 2014. Google citation 520, ESI高被引论文
[4] X. Zhao, S. Lu, Qingjiang Shi, Z.-Q. Luo, “Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?” IEEE Transactions on Signal Processing, early access, 2023.
[5] L. Xie, J. Liu, S. Lu, T.-H. Chang, and Qingjiang Shi, "An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization"，accepted by ACM Transactions on Intelligent Systems and Technology, vol. 13, no. 5, pp.1-28, 2022.
[6] Li D, Li J, Zeng X, Stankovic V, Stankovic L, Xiao C, Qingjiang Shi. Transfer learning for multi-objective non-intrusive load monitoring in smart building[J]. Applied Energy, 2023, 329: 120223.
[7] Qingjiang Shi and M. Hong. Penalty dual decomposition method for nonsmooth nonconvex optimization—Part I: Algorithms and convergence analysis. IEEE Transactions on Signal Processing, 68, pp. 4108-4122, June 2020.
[8] Y. Dong, X. Jiang, H. Zhou, Y. Lin, and Qingjiang Shi*. SR2CNN: Zero-shot learning for signal recognition. IEEE Transactions on Signal Processing, 69:2316 – 2329, Mar. 2021. ESI高被引论文
[9] M. Zhao, Qingjiang Shi, Y. Cai, M. Zhao, and Y. Li. Distributed penalty dual decomposition algorithm for optimal power flow in radial networks. IEEE Transactions on Power Systems, 35(3): 2176-2189, May 2020.
[10] Qingjiang Shi, M. Hong, X. Fu, and T. -H. Chang. Penalty dual decomposition method for nonsmooth nonconvex optimization—Part II: Applications. IEEE Transactions on Signal Processing, 68: 4242-4257, June 2020.
