麻花星空天美视频

张娇娇触长聘副教授
2025/06/16 来源: 编辑:



张娇娇触长聘副教授



       jiaoz@gbu.edu.cn          



              2011-2015,哈尔滨工程大学,自动化,学士

     2015-2018,中国科学技术大学,自动化,硕士 

             2018-2022,香港中文大学,系统工程与工程管理,博士                                           

           



科研领域



      

   &苍产蝉辫;张娇娇,博士毕业于香港中文大学,现为麻花星空天美视频智能计算中心长聘副教授。主要研究方向:最优化算法与理论及其在分布式优化、联邦学习、安全鲁棒计算与隐私保护等领域的应用。研究成果发表于 IEEE Trans on Signal Processing、IEEE Trans on Automatic Control、IEEE Trans on Signal and Information Processing over Networks 等国际权威期刊,以及NeurIPS、ICLR等机器学习领域的重要学术会议。其第一作者论文荣获国际信号处理领域旗舰会议 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)最佳论文奖。2018年获香港博士研究生奖学金计划(HKPFS),2022年获瑞典数字未来博士后奖学金计划(Digital Futures)。2024年入选国家级青年人才计划。


      个人简历:



工作经历



  • 2022-2025,碍罢贬-瑞典皇家理工学院电气工程与计算机科学系,博士后


主要成果


 

  • Jiaojiao Zhang Huikang Liu, Anthony Man-Cho So and Qing Ling. “Variance-Reduced Stochastic
Quasi-Newton Methods for Decentralized Learning.” IEEE Transactions on Signal Processing (2023).
  • Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So and Qing Ling. “A Penalty Alternating Direction
Method of Multipliers for Convex Composite Optimization over Decentralized Networks.” IEEE
Transactions on Signal Processing (2021).
  • Jiaojiao Zhang, Qing Ling and Anthony Man-Cho So. “A Newton Tracking Algorithm with Exact
Linear Convergence for Decentralized Consensus Optimization.” IEEE Transactions on Signal and
Information Processing over Networks (2021).
  • Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li and Herschel Rabitz. “Quantum State Filter with
Disturbance and Noise.” IEEE Transactions on Automatic Control (2019).
  • Jiaojiao Zhang, Shuang Cong, Qing Ling and Kezhi Li. “An Efficient and Fast Quantum State
Estimator with Sparse Disturbance.” IEEE Transactions on Cybernetics (2018).
  • Jiaojiao Zhang, Kezhi Li and Shuang Cong. “Efficient Reconstruction of Density Matrices for High
Dimensional Quantum State Tomography.” Signal Processing (2017).
  •  Huikang Liu, Jiaojiao Zhang*, Anthony Man-Cho So and Qing Ling. “A Communication-Efficient
Decentralized Newton’s Method with Provably Faster Convergence.” IEEE Transactions on Signal and Information Processing over Networks (2023). (I am the corresponding author)




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