Mingyi Hong

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Mingyi Hong

Assistant Professor
Electrical and Computer Engineering
University of Minnesota
6-109 Keller Hall
University of Minnesota, Minneapolis, MN 55455
Google Scholar citation
Biographical Sketch, [Curriculum Vitae]
Email: mhong at umn.edu

Research Interests

My research focus on contemporary issues in machine learning, optimization, information processing and wireless networking.

See here for our publication, and here for the current projects.

Teaching

Special Note

We are looking for students that have strong mathematical background, and are interested in theoretical aspects of large-scale optimization, big data analytics, and/or applications in machine learning, signal processing and networking. Please drop us a line if you are interested in joining our group. You will be placed in either IMSE or ECpE depending your interest/background. Most importantly, convince us that you have the potential!

RA and Postdoctoral position available

We have research assistants and post doctoral fellow position available. If you are interested, please contact Dr. Hong via email

Group News

  • Jan. 2018, M. gave a talk in IMA data science seminar on ‘‘Distributed and Learning based Approach for Non-Convex Optimization”

  • Jan. 2018, M. , with Qing, Serhat, and Tom is organizing a Symposium for GlobalSIP 2018, entitled “Distributed Optimization and Learning over Networks”. The conference is to be held Nov 26-28th in Anaheim, CA, and the submission deadline is tentatively June 10th, 2018

  • Jan. 2018, M. , with Xiao and Nikos, is organizing a special session for SPAWC 2018, entitled “Machine Learning for Communications”. The conference is to be held June 25-28th in Kalamata, Greece

  • Dec. 2017, M. visited Ken Ma’s group at CUHK and gave a talk on ‘‘Distributed and Learning based Approach for Non-Convex Optimization”

  • Dec. 2017, working two-part paper (first-part with Qingjiang, second-part with Qingjiang, Tsung-Hui and Xiao) entitled “Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization” has submitted for publication; available at [arXiv.org];

See more for our past news/activities

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