
Mingyi Hong
Associate Professor, Electrical and Computer Engineering
Contact
6-109 Kenneth H. Keller Hall
200 Union Street Se
Minneapolis, MN 55455
Mingyi Hong
Associate Professor, Electrical and Computer Engineering
I was born in Hangzhou, China. I received my B.S. degree from Zhejiang University in 2005, M.S. degree in Electrical and Computer Engineering from Stony Brook University in 2007 (advisors Prof. Petar M. Djuric and Monica F. Bugallo), and Ph. D. degree in Systems and Information Engineering from University of Virginia in 2011 (advisor Prof. Alfredo Garcia).
In the summer of 2004, I was with Dingli Communications Inc. as a summer intern. From 2007 to 2011, I was affiliated with Wireless Internet Center for Advanced Technology (WICAT) conducting research related to spectrum management and resource allocation in cognitive radio networks. In the summer of 2008, I was with the UBS AG as a summer intern.
From 2011-2014, I have been a Post-Doctorate Fellow at the Department of Electrical Engineering, with Prof. Zhi-Quan (Tom) Luo. From 2014-2017, I was an Assistant Professor at IMSE Department and ECpE Department (by courtesy), Iowa State University. Currently, I am an Associate Professor at ECE Department, University of Minnesota.
Currently Teaching Courses
- EE 5239 Nonlinear Optimization, Fall 2017, 2018, 2019, 2020, 2021 UMN, ECE Department
- EE 3015 Signal and Systems, Spring 2019, 2022, UMN, ECE Department
Books
- Mingyi Hong and Zhi-Quan Luo, “Signal Processing and Optimal Resource Allocation for the Interference Channel”, Academic Press Library in Signal Processing, Elsevier, 2013, available at [arXiv.org]
- Mingyi Hong, Wei-Cheng Liao, Ruoyu Sun and Zhi-Quan Luo “Optimization Algorithms for Big Data with Application in Wireless Networks”, Big Data Over Networks, Cambridge University Press, 2014
Selected Publications
- G. Zhang, X. Fu, J. Wang, X. L. Zhao, M. Hong, “Spectrum Cartography via Coupled Block-Term Tensor Decomposition”, IEEE Transactions on Signal Processing, 2020
- M. Razaviyayn, T. Huang, S. Lu, M. Nouiehed, M. Sanjabi, M. Hong, “Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances”, IEEE Signal Processing Magazine, 2020; available at [arXiv.org]
- S. A. H. Hosseini, B. Yaman, S. Moeller, M. Hong and M. Akcakaya, “Dense recurrent neural networks for accelerated MRI: History-cognizant unrolling of optimization algorithms” IEEE Journal of Selected Topics in Signal Processing, 2020; available at [arXiv.org]
- Qingjiang Shi and Mingyi Hong, “Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization—Part I: Algorithms and Convergence Analysis”, accepted IEEE TSP; available at [arXiv.org]
- Qingjiang Shi, Mingyi Hong, Xiao Fu and Tsung-Hui Chang, “Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization—Part II: Applications”, accepted IEEE TSP; available at [arXiv.org]
- K. Tang, N. Kan, J. Zou, C. Li, X. Fu, M. Hong, H. Xiong, “Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach”, IEEE Transactions on Circuits and Systems for Video Technology, 2020
- Tsung-Hui Chang, Mingyi Hong and Jong-Shi Pang, “Local Minimizers and Second-Order Conditions in Composite Piecewise Programming via Directional Derivatives", accepted Journal of Optimization Theory and Applications, 2020
- Tsung-Hui Chang *, Mingyi Hong *, Hoi-To Wai *, Xinwei Zhang and Songtao Lu, “Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond”, accepted, IEEE Signal Processing Magazine, Jan, 2020. (* equal contribution),
- Songtao Lu, Ioannis Tsaknakis, Mingyi Hong and Yongxin Chen, “Block Alternating Optimization for Non-Convex Min-Max Problems: Algorithms and Applications in Signal Processing and Communications”, accepted, IEEE Transactions on Signal Processing, Dec. 2019; available at [arXiv]
- Haoran Sun and Mingyi Hong, “Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms”, accepted, IEEE Transactions on Signal Processing, July 2019; available at [arXiv.org];
- S. Shen, X. Chen, M. Sadoughi, M. Hong and C. Hu, “A Deep Learning Method for Online Capacity Estimation of Lithium-Ion Batteries”, Journal of Energy Storage, accepted, 2019
- M. Razaviyayn *, M. Hong *, N. Reyhanian, and Z.-Q. Luo,“A Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and Certain Convex Minimization Problems”, accepted, Mathematical Programming Series B, May. 2019 (* equal contribution), available at [arXiv.org]
- Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn , Shiqian Ma and Zhi-Quan Luo, “A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization”, accepted, Mathematics of Operations Research, available at [Optimization-Online]
- Davood Hajenizhad and Mingyi Hong, “Perturbed Proximal Primal Dual Algorithm for Nonconvex Nonsmooth Optimization”, Mathematical Programming Series B, Vol 176, No. 1-2, pages 207-245. 2019; see [here] for the full version with proof.
- Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, and Mingyi Hong, “Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data”, IEEE Transactions on Signal Processing, Vol. 76, No. 2, Jan. pages 306-319, 2019
- Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, and Mingyi Hong, “Anchor-Free Correlated Topic Modeling”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 5, pages 1056-1071, May, 2019
- Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, and Nicholas D.Sidiropoulos, “Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management”, IEEE Transactions on Signal Processing, Vol 66, No. 20, pages 5438 – 5453, Oct. 2018; available at [arXiv.org], [code].
- Qingjiang Shi, Mingyi Hong, “Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems”, IEEE Journal on Selected Topics in Signal Processing, Vol. 12, No. 3 pp. 455 - 468, 2018
- Davood Hajinezhad, Mingyi Hong, Alfredo Garcia, “Zeroth Order Nonconvex Multi-Agent Optimization over Networks”, accepted by IEEE Transactions on Automatic Control, Jan. 2018
- Xingguo Li, Tuo Zhao, Raman Aurora, Han Liu and Mingyi Hong, “On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization”, Journal of Machine Learning Research, Vol. 184, No. 18, pages 1-24, 2018
- Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar, and Zhi-Quan Luo, “A Distributed Semi-Asynchronous Algorithm for Network Traffic Engineering” IEEE Transactions on Signal and Information Processing over Networks, Vol. 4, No. 3, pages 436 – 450, 2018.
- Yijian Zhang, Mingyi Hong, Emiliano Dall’Anese, Sairaj Dhople, and Zi Xu, ‘‘Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM", IEEE Transactions on Smart Grid, Vol. 9, No. 5, Sept, 2018.
- Nan Zhang, Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, and Zhi-Quan Luo, “Network Slicing for Service-Oriented Networks Under Resource Constraints”, IEEE Journal on Selected Areas in Communication, Special issue on Emerging Technologies in Software-Driven Communication, Vol. 35, No. 11, pp. 2512-2521., 2017; available at [arXiv.org]
- Qingjiang Shi, Haoran Sun, Songtao Lu, Mingyi Hong and Meisam Razaviyayn, “Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization”, IEEE Transactions on Signal Processing, Vol. 65, No. 22, pp. 5995-6008, Nov.,2017; available at [arXiv.org] [code].
- Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, and Anthony Man-Cho So. “Scalable and Optimal Generalized Canonical Correlation Analysis via Alternating Optimization.”, IEEE Transactions on Signal Processing, Vol. 65, No. 16, pp. 4150-4165, Aug. 2017; available at [arXiv.org]
- Songtao Lu, Mingyi Hong and Zhengdao Wang, “A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality” IEEE Transactions on Signal Processing, Vol. 65, No. 12, pp. 3120-3135, 2017
- Mingyi Hong and Tsung-Hui Chang, “Stochastic Proximal Gradient Consensus Over Random Networks”, IEEE Transactions on Signal Processing, Vol. 65, No. 11, pages 2933-2948, 2017; available at [arXiv.org]
- Mingmin Zhao, Yunlong Cai, Qingjiang Shi, Mingyi Hong, and Benoit Champagne, “Joint Transceiver Designs for Full-Duplex K-Pair MIMO Interference Channel with SWIPT", IEEE Transactions on Communication, Vol. 65, No. 2, pages 890-905, 2017
- Mingyi Hong and Zhi-Quan Luo, “On the Linear Convergence of the Alternating Direction Method of Multipliers”, Mathematical Programming Series A, Vol. 162, No.1, pages 165–199, 2017; available at [arXiv.org]
- Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn and Zhi-Quan Luo, “Iterations Complexity Analysis of Block Coordinate Descent Method”, Mathematical Programming Series A, Vol. 163, No. 1, pages 85 - 114, 2017; available at [arXiv.org]
- Mingyi Hong, “A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach”, IEEE Transactions on Control of Network Systems, available at [arXiv.org], Nov. 2016
- Qingjiang Shi, Mingyi Hong, Enbin Song, Yunlong Cai, Weiqiang Xu, Xiqi Gao, “Joint Source-Relay Design for Full–Duplex MIMO AF Relay Systems”, Vol. 64, No. 23, pages 6118-6131, IEEE Transactions on Signal Processing, 2016.
- Ya-Feng Liu, Mingyi Hong and Enbin Song, "Sample Approximation Based Deflation Approaches for Chance Constrained Joint Power and Admission Control”, IEEE Transactions on Wireless Communication, Vol. 15, No 7, pages 4535 - 4547, 2016; available at [arXiv.org]
- Tsung-Hui Chang, Mingyi Hong and Xiangfeng Wang, “Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis”, IEEE Transactions on Signal Processing, Vol. 64, No 12, pages 3118 - 3130, 2016; available at [arXiv.org]
- Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong and Xiangfeng Wang, “Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance”, IEEE Transactions on Signal Processing, Vol. 64, No. 12, pages 3131 - 3144, 2016; available at [arXiv.org]
- Brendan Ames and Mingyi Hong, "Alternating direction method of multipliers for sparse zero-variance discriminant analysis and principal component analysis”, Computational Optimization and Applications, Vol 64, No. 3, pp 725-754, 2016; available at [arXiv.org], [R-code], [MATLAB code]
- Mingyi Hong, Zhi-Quan Luo and Meisam Razaviyayn, “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems”, SIAM Journal on Optimization, Vol. 26, No 1, pages 337 - 364, 2016; available at [arXiv.org] Finalist, Best Paper Prize for Young Researchers in Continuous Optimization, 2016 ; SIOPT 20 most read articles, 2017, 2018 [see here]
- Qingjiang Shi, Meisam Razaviyayn Mingyi Hong, and Zhi-Quan Luo, “SINR Constrained Beamforming for a MIMO Multi-user Downlink System”, IEEE Transactions on Signal Processing, Vol. 64, No. 11, pages 2920-2933, 2016; available at [arXiv.org]
- Mingyi Hong, Qiang Li and Ya-Feng Liu, “Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks”, IEEE Transactions on Wireless Communication, No. 15, Vol. 2, pages 1377-1392, 2016; available at [arXiv.org]
- Mingyi Hong *, Meisam Razaviyayn*, Zhi-Quan Luo and Jong-Shi Pang, “A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data”, Feature Article, IEEE Signal Processing Magazine (* equal contribution), Vol. 33, No. 1, pages 57 - 77, Jan. 2016; available at [arXiv.org]
- 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, Vol. 64, No. 4 pages 842-854, 2016; available at [IEEE Xplore]
- Alfredo Garcia and Mingyi Hong, “Efficient Rate Allocation in Wireless Networks Under Incomplete Information”, IEEE Transactions on Automatic Control, Vol. 61, No. 5, pages 1397 - 1402, 2016.
- Ruoyu Sun, Mingyi Hong and Zhi-Quan Luo, "Joint Downlink Base Station Association and Power Control for Max-Min Fairness Computation and Complexity”, IEEE Journal on Selected Areas of Communications, Vol. 33, No. 6, pages 1040-1054, 2015 available at [arXiv.org]
- Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo, “Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers”, Pacific Journal on Optimization, Vol. 11, No. 4, pages 645 - 667, 2015; available at [arXiv.org]
- Zi Xu and Mingyi Hong , “Approximation Algorithm for A Mixed Binary Quadratically Constrained Quadratic Programming Problem”, Pacific Journal on Optimization, Vol. 11, No. 2, pages 239 - 255, 2015 (invited)
- Tsung-Hui Chang, Mingyi Hong and Xiangfeng Wang, “Multi-Agent Distributed Optimization via Inexact Consensus ADM”, IEEE Transactions on Signal Processing, vol.63, no.2, pp.482,497, Jan.15, 2015; available at [arXiv.org]
- M.Baligh, M. Hong, W.-C Liao, Z.-Q Luo, M. Razaviyayn, M. Sanjabi, and R. Sun, “Cross-Layer Provisioning of Future Cellular Networks”, IEEE Signal Processing Magazine, special issue on 5G revolution, vol.31, no.6, pp.56,68, Nov. 2014; available at [arXiv.org]
- Wei-Cheng Liao, Mingyi Hong, Hamid Farmanba, Xu Li, Zhi-Quan Luo and Hang Zhang, “Min Flow Rate Maximization for Software Defined Radio Access Networks”, IEEE Journal on Selected Areas in Communication, special issue on 5G wireless networks, Vol. 23, No. 6, pp. , 1282-1294, 2014; available at [arXiv.org]
- Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang and Dechun Sun, “Outage Constrained Robust Secure Transmission for MISO Wiretap Channel", IEEE Transactions on Wireless Communications, Vol. 13, No. 10, May 2014, pp. 5558-5570; available at [arXiv.org]
- J. Joaquin Escudero Garzas, Mingyi Hong, Alfredo Garcia, and Ana Garcia-Armada, “Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming”, IEEE Transactions on Communications, Vol. 62, No, 6, pp., June 2014. 1871-1883
- Zi Xu, Mingyi Hong, and Zhi-Quan Luo, “Semidefinite approximation for mixed binary quadratically constrained quadratic programs", SIAM Journal on Optimization, Vol 24, No. 3, pp., 1265–1293, 2014; available at [arXiv.org]
- Wei-Cheng Liao, Mingyi Hong, Ya-Feng Liu and Zhi-Quan Luo, “Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks”, IEEE Transactions on Signal Processing, VOL. 62, NO. 15, August 2014, pp.3939-3952; available at [arXiv.org]
- Meisam Razaviyayn, Mingyi Hong and Zhi-Quan Luo, “A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization”, SIAM Journal on Optimization. Vol. 23, No. 2, pp. 1126–1153, 2013; available at [arXiv.org] Finalist, Best Paper Prize for Young Researchers in Continuous Optimization, 2013 ; SIOPT 20 most read articles, 2017, 2018 [see here]
- Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu, and Zhi-Quan Luo, “Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization and Water-Filling”, IEEE Journal on Selected Areas in Communications, special issues on Signal Processing Techniques for Wireless Physical Layer Security. Vol. 31, No. 9, pp. 1714-1727, 2013; available at [IEEE Xplorer]
- Mingyi Hong, Zi Xu, Meisam Razaviyayn, and Zhi-Quan Luo, “Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds”, IEEE Journal on Selected Areas in Communications, Vol. 31, No. 10, Oct. 2013, special issues on virtual MIMO systems; available at [arXiv.org], supporting document for additional proofs can be found [here].
- Meisam Razaviyayn, Mingyi Hong and Zhi-Quan Luo, “Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max-Min Fairness”, Signal Processing, Vol. 93, No. 12, 2013, pp. 3327–3340, 2013, special issue on sensor array processing; available at [arXiv.org]
- Mingyi Hong, Alfredo Garcia, Jorge Barrera and Stephen Wilson, “Joint Access Point Selection and Power Allocation for Uplink Wireless Networks”, IEEE Transactions on Signal Processing, Vol. 61, No. 13, pp. 3334-3347, July, 2013; available at [arXiv.org]
- Mingyi Hong and Zhi-Quan Luo,“Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network”, IEEE Transactions on Signal Processing, Vol. 61, No. 12, pp. 3214–3228 , June, 2013; available at [arXiv.org]
- Mingyi Hong, Ruoyu Sun, Hadi Baligh and Zhi-Quan Luo, “Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks”, IEEE Journal on Selected Areas in Communications, special issues on Large-Scale multiple antenna systems Vol. 31, No. 2, pp. 226-240, Feb. 2013; available at [arXiv.org]
- Ya-Feng Liu, Mingyi Hong, Yu-Hong Dai, “Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel Is Polynomial Time Solvable”, IEEE Signal Processing Letters, Vol. 20, No. 1, pp. 27-30, Jan. 2013
- Alfredo Garcia, Mingyi Hong and Jorge Barrera, “Cap and Trade for Congestion Control”, Dynamic Games and Applications , vol. 2, no. 3, pp. 280-293, 2012.
- Mingyi Hong and Alfredo Garcia, “Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network”, IEEE Journal on Selected Areas in Communications, special issues on Game Theory for Communication Networks, Vol 30, No 11, pp. 2238-2250, Dec., 2012; available at [arXiv.org]
- Mingyi Hong and Alfredo Garcia, “Averaged Iterative Water Filling Algorithm”, IEEE Transactions on Signal Processing , vol.59, no. 5, pp. 2448-2454, May 2011; available [here]
- Mingyi Hong and Alfredo Garcia, “Equilbirium Pricing of Interference in Cognitive Radio Networks”, IEEE Transactions on Signal Processing vol. 59, no. 12, pp. 6058-6072, December 2011; available [here]
- Mingyi Hong , Monica Bugallo and Petar Djurić, “Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation”, IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 3,pp. 526-539, July 2010; available [here]