Jiawei Zhang

Jiawei Zhang

Postdoctoral scholar in LIDS @ MIT

Massachusetts Institute of Technology

Biography

Jiawei Zhang is currently the postdoctoral scholar in the Laboratory for Information & Decision Systems (LIDS) at MIT, working with Asuman Ozdaglar. He obtained the Ph.D. degree in Computer and Information Engineering from the Chinese University of Hong Kong (CUHK), studied in CUHK-Shenzhen with advisory of Zhi-Quan (Tom) Luo. Previously, he obtained the B.Sc. in Mathematics (Hua Loo-Keng talent program) University of Science and Technology of China.

His research interests include optimization theory, designing efficient optimization algorithms and their applications to machine learning and data science. Recently, I am very interested in understanding machine learning especially deep learning from an optimization perspective.

Download my resumé.

Interests
  • Optimization theory
  • Optimization algorithms and their applications to machine learning and data science
  • Understanding machine learning especially deep learning from an optimization perspective
Education
  • Ph.D. in Computer and Information Engineering

    The Chinese University of Hong Kong (CUHK)

  • B.Sc. in Mathematics

    University of Science and Technology of China (USTC)

Recent Publications

Quickly discover relevant content by filtering publications.
(2021). Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. International Conference on Artificial Intelligence and Statistics.

Cite

(2021). Decentralized Non-Convex Learning with Linearly Coupled Constraints. arXiv preprint arXiv:2103.05378.

Cite

(2021). Distributed stochastic consensus optimization with momentum for nonconvex nonsmooth problems. IEEE Transactions on Signal Processing.

Cite

(2021). When Expressivity Meets Trainability: Fewer than $ n $ Neurons Can Work. Thirty-Fifth Conference on Neural Information Processing Systems.

Cite

Contact