Mingyi Hong

Overview

Best Publications

• A UNIFIED CONVERGENCE ANALYSIS OF BLOCK SUCCESSIVE MINIMIZATION METHODS FOR NONSMOOTH OPTIMIZATION

  Meisam Razaviyayn;Mingyi Hong;Zhi Quan Luo

  1284
  Citations

• Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

  Mingyi Hong;Zhi Quan Luo;Meisam Razaviyayn

  978
  Citations

• On the linear convergence of the alternating direction method of multipliers

  Mingyi Hong;Zhi-Quan Luo

  824
  Citations

• Learning to Optimize: Training Deep Neural Networks for Interference Management

  Haoran Sun;Xiangyi Chen;Qingjiang Shi;Mingyi Hong

  813
  Citations

• Towards K-means-friendly spaces: simultaneous deep learning and clustering

  Bo Yang;Xiao Fu;Nicholas D. Sidiropoulos;Mingyi Hong

  690
  Citations

• Multi-Agent Distributed Optimization via Inexact Consensus ADMM

  Tsung Hui Chang;Mingyi Hong;Xiangfeng Wang

  474
  Citations

• A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

  Mingyi Hong;Meisam Razaviyayn;Zhi-Quan Luo;Jong-Shi Pang

  472
  Citations

• Topology attack and defense for graph neural networks: An optimization perspective

  Kaidi Xu;Hongge Chen;Sijia Liu;Pin Yu Chen

  362
  Citations

• A deep learning method for online capacity estimation of lithium-ion batteries

  Sheng Shen;Mohammadkazem Sadoughi;Xiangyi Chen;Mingyi Hong

  361
  Citations

• Learning to optimize: Training deep neural networks for wireless resource management

  Haoran Sun;Xiangyi Chen;Qingjiang Shi;Mingyi Hong

  356
  Citations

• Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks

  Mingyi Hong;Ruoyu Sun;H. Baligh;Zhi-Quan Luo

  342
  Citations

• Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization

  Qiang Li;Mingyi Hong;Hoi-To Wai;Ya-Feng Liu

  256
  Citations

• Asynchronous Distributed ADMM for Large-Scale Optimization—Part I: Algorithm and Convergence Analysis

  Tsung-Hui Chang;Mingyi Hong;Wei-Cheng Liao;Xiangfeng Wang

  237
  Citations

• Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization—Part I: Algorithms and Convergence Analysis

  Qingjiang Shi;Mingyi Hong

  214
  Citations

• On the convergence of a class of Adam-type algorithms for non-convex optimization

  Xiangyi Chen;Sijia Liu;Ruoyu Sun;Mingyi Hong

  210
  Citations

• Iteration complexity analysis of block coordinate descent methods

  Mingyi Hong;Xiangfeng Wang;Meisam Razaviyayn;Zhi-Quan Luo

  195
  Citations

• FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features

  Unknown

  179
  Citations

• FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data

  Xinwei Zhang;Mingyi Hong;Sairaj Dhople;Wotao Yin

  155
  Citations

• Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

  Hoi-To Wai;Zhuoran Yang;Zhaoran Wang;Mingyi Hong

  149
  Citations

• Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications

  Songtao Lu;Ioannis Tsaknakis;Mingyi Hong;Yongxin Chen

  146
  Citations

• A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

  Mingyi Hong;Hoi To Wai;Zhaoran Wang;Zhuoran Yang

  58
  Citations

• Understanding Gradient Clipping in Private SGD: A Geometric Perspective

  Xiangyi Chen;Zhiwei Steven Wu;Mingyi Hong

  55
  Citations

• FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.

  Xinwei Zhang;Mingyi Hong;Sairaj V. Dhople;Wotao Yin

  53
  Citations

• Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks

  Mingyi Hong;Ruo-Yu Sun;Hadi Baligh;Zhi-Quan Luo

  6
  Citations