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    Author information
    First name: Mingyi
    Last name: Hong
    DBLP: 57/8053
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    Below you find the publications which have been written by this author.

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    Conference paper
    Ming-Min Zhao, Yunlong Cai, Qingjiang Shi, Mingyi Hong, Benoît Champagne.
    Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT.
    IEEE Trans. Communications 2017, Volume 65 (0) 2017
    Conference paper
    Mingyi Hong, Zhi-Quan Luo.
    On the linear convergence of the alternating direction method of multipliers.
    Math. Program. 2017, Volume 162 (0) 2017
    Journal article
    Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, Zhi-Quan Luo.
    Iteration complexity analysis of block coordinate descent methods.
    Math. Program. 2017, Volume 163 (0) 2017
    Conference paper
    Songtao Lu, Mingyi Hong, Zhengdao Wang.
    A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Mingyi Hong, Tsung-Hui Chang.
    Stochastic Proximal Gradient Consensus Over Random Networks.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Yunlong Cai, Minjian Zhao.
    Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT.
    2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, CA, USA, March 19-22, 2017 2017 (0) 2017
    Conference paper
    Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu 0001, Nicholas D. Sidiropoulos.
    Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Songtao Lu, Mingyi Hong, Zhengdao Wang.
    A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Xiao Fu 0001, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So.
    Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Nan Zhang, Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, Zhi-Quan Luo.
    Traffic engineering for backhaul networks with wireless link scheduling.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Qingjiang Shi, Mingyi Hong.
    Penalty dual decomposition method with application in signal processing.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Songtao Lu, Mingyi Hong, Zhengdao Wang.
    A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Conference paper
    Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong, Sairaj V. Dhople, Zi Xu.
    Regulation of renewable energy sources to optimal power flow solutions using ADMM.
    2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017 2017 (0) 2017
    Conference paper
    Xiao Fu 0001, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So.
    Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis.
    IEEE Trans. Signal Processing 2017, Volume 65 (0) 2017
    Conference paper
    Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao.
    Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo.
    Network Slicing for Service-Oriented Networks Under Resource Constraints.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Bo Yang, Xiao Fu 0001, Nicholas D. Sidiropoulos, Mingyi Hong.
    Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Journal article
    Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo, Jong-Shi Pang.
    A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing.
    IEEE Signal Process. Mag. 2016, Volume 33 (0) 2016
    Conference paper
    Qingjiang Shi, Cheng Peng, WeiQiang Xu, Mingyi Hong, Yunlong Cai.
    Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Conference paper
    Mingyi Hong, Qiang Li, Ya-Feng Liu.
    Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
    IEEE Transactions on Wireless Communications 2016, Volume 15 (0) 2016
    Conference paper
    Mingyi Hong, Zhi-Quan Luo, Meisam Razaviyayn.
    Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems.
    SIAM Journal on Optimization 2016, Volume 26 (0) 2016
    Conference paper
    Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo.
    SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Conference paper
    Mingyi Hong.
    Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang.
    Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Conference paper
    Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang.
    Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance.
    IEEE Transactions on Signal Processing 2016, Volume 64 (0) 2016
    Show item 1 to 25 of 120  

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