Prof. Qingjiang Shi (史清江)
Office：442L@Jishi Building
Email：shiqj AT tongji DOT edu DOT cn,
Wechat: SJTUMN
Google Scholar: https://scholar.google.com/citations?user=8xoKeR0AAAAJ&hl=zh-CN
欢迎懂感恩、不矫情、有追求、心态乐观、好奇心极强、数理基础良好的同学报考硕/博士研究生，也欢迎学有余力且能够坚持的本科生加入网络与机器智能实验室从事人工智能/优化算法与应用方面的研究，将为大家推荐名校深造和名企实习的机会。实验室目前的项目主要包括国家重点研发计划、国家自然科学基金与企业院所委托的工程项目。注：网络通信方向招生原则上要求员工是电子/通信/物联网专业毕业。
Recent research directions/近期研究方向:
1. Intelligent communications and networking
2. Machine learning for big data analytics
3. Optimization methods and distributed computing
Brief intro/简介: Dr. Qingjiang Shi received his Ph.D. degree in electronic engineering from Shanghai Jiao Tong University, Shanghai, China, in 2011. From September 2009 to September 2010, he visited Prof. Z.-Q. (Tom) Luo's research group at the University of Minnesota, Twin Cities. In 2011, he worked as a Research Scientist at Bell Labs China. From 2012, He was with the School of Information and Science Technology at Zhejiang Sci-Tech University. From Feb. 2016 to Mar. 2017, he worked as a research fellow at Iowa State University, USA. From 2018, He is currently a professor with the School of Software Engineering at Tongji University. His interests lie in algorithm design and analysis with applications in machine learning, signal processing and wireless networks. So far he has published more than 80 IEEE journals and filed more than 40 national patents.
Dr. Shi was an Associate Editor for the IEEE TRANSACTIONS ON SIGNAL PROCESSING. He was the recipient of IEEE Signal Processing Society Best Paper Award in 2022, the Huawei Technical Cooperation Achievement Transformation Award (2nd Prize) in 2022, the Huawei Outstanding Technical Achievement Award in 2021, the Golden Medal at the 46th International Exhibition of Inventions of Geneva in 2018, the First Prize of Science and Technology Award from China Institute of Communications in 2017, National Excellent Doctoral Dissertation Nomination Award in 2013, Shanghai Excellent Doctorial Dissertation Award in 2012, and the Best Paper Award from the IEEE PIMRC’09 conference.
Recent works/近期代表性工作:
[1] X. Zhao, S. Lu, Q. Shi* and Z. -Q. Luo, "Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?," IEEE Transactions on Signal Processing, vol. 71, pp. 433-446, 2023, doi: 10.1109/TSP.2023.3244104.
[2] Y. Dong, X. Jiang, H. Zhou, Y. Lin, Q. Shi*, "SR2CNN: Zero-Shot Learning for Signal Recognition", IEEE Transactions on Signal Processing, 2021, vol. 69, pp. 2316-2329, 2021.
[3] Q. Shi and M. Hong, "Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization—Part I&II: Algorithms and Applications," IEEE Transactions on Signal Processing, 2020. doi: 10.1109/TSP.2020.3001906.
[4] L. Xie, J. Liu, S. Lu, T.-H. Chang, and Q. Shi*, "An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization"，ACM Transactions on Intelligent Systems and Technology, vol. 13, no. 5, pp.1-28, 2022.
[5] H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, N. Sidiropoulos, "Learning To Optimize: Training Deep Neural Networks For Interference Management," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5438-5453, 2018
荣誉与获奖：
1) 2022 IEEE信号处理协会最佳论文奖
2）2020-2023爱思唯尔中国高被引学者
3）2022年华为技术合作成果转化二等奖
4）2020年华为优秀技术成果奖
5）2017年任国际信号处理顶级期刊IEEE Trans. Signal Process.编委
6）2018年获日内瓦国际发明展发明金奖
7）2018年获中国通信学会自然科学一等奖
8）2014年获得全国百篇优秀博士学位论文提名奖
9）2013年获得上海市研究生优秀成果（博士学位论文）奖
10）2009年获得国际个人移动通信领域IEEE PIMRC会议最佳论文奖，
11）2019年获得全国Intel杯人工智能软件创新大赛一等奖（优秀指导教师）
12）2019年获第五届中国“互联网+”老员工创新创业大赛上海赛区一等奖（优秀指导教师）
近期主持的部分项目:
【1】国家重点研发计划项目，学习优化理论与方法及其在5G中的应用，2022YFA1003900，2023.1-2027.12，在研，主持
【2】国家自然科学基金重点项目，大规模通信信号处理的分布式机器学习方法，62231019， 2023.1-2027.12，在研，主持
【3】国家重点研发计划（政府间国际合作重点专项）项目，基于物联网和大数据的智能建筑管理关键技术研究，2017YFE0119300，2019.1-2021.12，结题，主持
【4】华为技术有限公司合作项目，基于L2O的调度，2022.10-2023.10，在研，主持
【5】中电科某所委托项目，低零感知与计算技术，2023.9-2024.9，在研，主持
毕业员工去向:
刘嘉琦（23届硕士，百度）
周福佳（23届硕士，字节）
陆鹏威（22届硕士，阿里）
董益宏（22届硕士，北大计算机攻博）
颜子彦（21届硕士，腾讯）
陆思远（co-supervised 21届硕士，华为）
余 豪（co-supervised 21届硕士，获国奖，字节）
