publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2020

  1. Block Alternating Optimization for Non-Convex Min-Max Problems: Algorithms and Applications in Signal Processing and Communications
    Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, and 1 more author
    IEEE Transactions on Signal Processing, 2020
    DOI arXiv
  2. Non-Convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
    Meisam Razaviyayn, Tianjiao Huang, Songtao Lu, and 3 more authors
    IEEE Signal Processing Magazine, 2020
    DOI arXiv
  3. Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
    Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, and 2 more authors
    IEEE Signal Processing Magazine, 2020
    DOI
  4. Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization–Part I: Algorithms and Convergence Analysis
    Qingjiang Shi and Mingyi Hong
    IEEE Transactions on Signal Processing, 2020
    DOI arXiv
  5. Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization–Part II: Applications
    Qingjiang Shi, Mingyi Hong, Xiao Fu, and 1 more author
    IEEE Transactions on Signal Processing, 2020
    DOI arXiv

2019

  1. barrier.png
    Perturbed Proximal Primal Dual Algorithm for Nonconvex Nonsmooth Optimization
    Davood Hajinezhad and Mingyi Hong
    Mathematical Programming, 2019
    DOI
  2. ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
    Xiangyi Chen, Sijia Liu, Kaidi Xu, and 4 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2019
  3. On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions
    Songtao Lu, Mingyi Hong, and Zhengdao Wang
    In International Conference on Machine Learning (ICML), 2019
    arXiv
  4. On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
    Xiangyi Chen, Sijia Liu, Ruoyu Sun, and 1 more author
    In International Conference on Learning Representations (ICLR), 2019

2018

  1. Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms
    Haoran Sun and Mingyi Hong
    IEEE Transactions on Signal Processing, 2018
    DOI arXiv
  2. Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
    Haoran Sun, Xiangyi Chen, Qingjiang Shi, and 3 more authors
    IEEE Transactions on Signal Processing, 2018
    DOI arXiv Code
  3. Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization
    Mingyi Hong, Jason Lee, and Meisam Razaviyayn
    In International Conference on Machine Learning (ICML), 2018
    arXiv

2017

  1. Stochastic Proximal Gradient Consensus Over Random Networks
    Mingyi Hong and Tsung-Hui Chang
    IEEE Transactions on Signal Processing, 2017
    DOI arXiv
  2. On the Linear Convergence of the Alternating Direction Method of Multipliers
    Mingyi Hong and Zhi-Quan Luo
    Mathematical Programming, 2017
    DOI arXiv
  3. Iteration Complexity Analysis of Block Coordinate Descent Methods
    Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, and 1 more author
    Mathematical Programming, 2017
    DOI arXiv
  4. Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
    Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, and 1 more author
    In International Conference on Machine Learning (ICML), 2017
    arXiv Code
  5. Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
    Mingyi Hong, Davood Hajinezhad, and Ming-Min Zhao
    In International Conference on Machine Learning (ICML), 2017
  6. Scalable and Optimal Generalized Canonical Correlation Analysis via Alternating Optimization
    Xiao Fu, Kejun Huang, Mingyi Hong, and 2 more authors
    IEEE Transactions on Signal Processing, 2017
    DOI arXiv
  7. A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality
    Songtao Lu, Mingyi Hong, and Zhengdao Wang
    IEEE Transactions on Signal Processing, 2017
    DOI
  8. Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
    Qingjiang Shi, Haoran Sun, Songtao Lu, and 2 more authors
    IEEE Transactions on Signal Processing, 2017
    DOI arXiv Code
  9. Network Slicing for Service-Oriented Networks Under Resource Constraints
    Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, and 3 more authors
    IEEE Journal on Selected Areas in Communications, 2017
    DOI arXiv

2016

  1. optimization.png
    A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data
    Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo, and 1 more author
    IEEE Signal Processing Magazine, Jan 2016
    Abs DOI arXiv
  2. Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems
    Mingyi Hong, Zhi-Quan Luo, and Meisam Razaviyayn
    SIAM Journal on Optimization, 2016
    ICCOPT Best Paper Finalist DOI arXiv
  3. Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis
    Tsung-Hui Chang, Mingyi Hong, and Xiangfeng Wang
    IEEE Transactions on Signal Processing, 2016
    DOI arXiv
  4. Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance
    Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, and 1 more author
    IEEE Transactions on Signal Processing, 2016
    DOI arXiv
  5. NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
    Davood Hajinezhad, Mingyi Hong, Tuo Zhao, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2016
    arXiv
  6. Sample Approximation Based Deflation Approaches for Chance Constrained Joint Power and Admission Control
    Ya-Feng Liu, Mingyi Hong, and Enbin Song
    IEEE Transactions on Wireless Communications, 2016
    DOI arXiv
  7. Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks
    Mingyi Hong, Qiang Li, and Ya-Feng Liu
    IEEE Transactions on Wireless Communications, 2016
    DOI arXiv

2015

  1. Multi-Agent Distributed Optimization via Inexact Consensus ADMM
    Tsung-Hui Chang, Mingyi Hong, and Xiangfeng Wang
    IEEE Transactions on Signal Processing, 2015
    DOI arXiv
  2. Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
    Ruoyu Sun and Mingyi Hong
    In Advances in Neural Information Processing Systems (NeurIPS), 2015
  3. Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity
    Ruoyu Sun, Mingyi Hong, and Zhi-Quan Luo
    IEEE Journal on Selected Areas in Communications, 2015
    DOI arXiv

2014

  1. Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
    Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2014
    arXiv Code
  2. Cross-Layer Provisioning of Future Cellular Networks
    Mohamed Baligh, Mingyi Hong, Wei-Cheng Liao, and 4 more authors
    IEEE Signal Processing Magazine, 2014
    DOI arXiv

2013

  1. A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization
    Meisam Razaviyayn, Mingyi Hong, and Zhi-Quan Luo
    SIAM Journal on Optimization, 2013
    ICCOPT Best Paper Finalist DOI arXiv
  2. Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network
    Mingyi Hong and Zhi-Quan Luo
    IEEE Transactions on Signal Processing, 2013
    DOI arXiv
  3. Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks
    Mingyi Hong, Ruoyu Sun, Hadi Baligh, and 1 more author
    IEEE Journal on Selected Areas in Communications, 2013
    DOI arXiv
  4. Joint Access Point Selection and Power Allocation for Uplink Wireless Networks
    Mingyi Hong, Alfredo Garcia, Jorge Barrera, and 1 more author
    IEEE Transactions on Signal Processing, 2013
    DOI arXiv

2012

  1. Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network
    Mingyi Hong and Alfredo Garcia
    IEEE Journal on Selected Areas in Communications, 2012
    DOI arXiv