Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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16 results for Mingyi Hong

Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack
- - Ioannis Tsaknakis
  - Mingyi Hong
  - et al.
- 2020
- ICASSP 2020
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs
- - Songtao Lu
  - Rahul Singh
  - et al.
- 2019
- ACSSC 2019
Topology attack and defense for graph neural networks: An optimization perspective
- - Kaidi Xu
  - Hongge Chen
  - et al.
- 2019
- IJCAI 2019
Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems
- - Songtao Lu
  - Jason Lee
  - et al.
- 2021
- IEEE TSP
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
- - Meisam Razaviyayn
  - Tianjian Huang
  - et al.
- 2020
- IEEE SPM
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond
- - Tsung Hui Chang
  - Mingyi Hong
  - et al.
- 2020
- IEEE SPM