Mingyi Hong
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Group - Publications

Summary

  1. Google Scholar Page

Book Chapters

  1. 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]

  2. 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

Patents

  1. R. Sun, M. Hong, M. Baligh, Z.-Q. Luo, M. Razaviyayn, “System and Method for Transmission Point (TP) Association and Beamforming Assignment in Heterogeneous Networks”, US 20130201937 A1

  2. W.-C. Liao, M. Hong, Z.-Q. Luo, H. Farmanbar, X. Li, H. Zhang, “System and method for joint power allocation and routing for software defined networks”, US 20150119050

  3. N. Zhang, W.-C. Liao, M. Hong, H. Baligh and Z.-Q. Luo, “Systems and Methods for Performing Traffic Engineering In a Communications Network”, International Patent Application No. PCT/IB2016/051777

  4. Wei-cheng Liao, Zhi-Quan Luo, Ivo Merks, Mingyi Hong and Tao Zhang , ‘‘Hearing assistance device with beamformer optimized using a priori spatial information", EP2986026B1, Granted, 2018

  5. Nan Zhang, Ya-feng Liu, Hamidreza Farmanbar, Tsung-Hui Chang, Mingyi Hong and Zhi-Quan Luo, ‘‘System and method for network slicing for service-oriented networks", Application number WO 2018176385A1.

Submitted Journal Papers/Preprints

  1. Yijian Zhang, Emiliano Dall'Anese, and Mingyi Hong, “Proximal-ADMM For Time-varying Network Optimization”, Dec 2018

  2. Xingguo Li, Jarvis Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao, “A First Order Free Lunch for SQRT-Lasso”, working paper, available at [arXiv.org], May 2016

Journal Papers

  1. 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

  2. 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]

  3. 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]

  4. 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]

  5. 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]

  6. 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

  7. 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

  8. 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),

  9. 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]

  10. 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];

  11. 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

  12. 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]

  13. 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]

  14. 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.

  15. 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

  16. 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

  17. 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].

  18. 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

  19. Davood Hajinezhad, Mingyi Hong, Alfredo Garcia, “Zeroth Order Nonconvex Multi-Agent Optimization over Networks”, accepted by IEEE Transactions on Automatic Control, Jan. 2018

  20. 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

  21. 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.

  22. 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.

  23. 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]

  24. 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].

  25. 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]

  26. 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

  27. 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]

  28. 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

  29. 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]

  30. 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]

  31. 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

  32. 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.

  33. 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]

  34. 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]

  35. 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]

  36. 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]

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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]

  42. 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.

  43. 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]

  44. 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]

  45. 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)

  46. 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]

  47. 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]

  48. 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]

  49. 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]

  50. 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

  51. 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]

  52. 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]

  53. 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]

  54. 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]

  55. 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].

  56. 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]

  57. 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]

  58. 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]

  59. 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]

  60. 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

  61. 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.

  62. 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]

  63. 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]

  64. 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]

  65. 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]

Conference Papers

  1. Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox, “ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization”, Proc. NeurIPS 2019, (acceptance rate %21.1)

  2. Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang, “Variance Reduced Policy Evaluation with Smooth Function Approximation”, Proc. NeurIPS 2019, (acceptance rate %21.1)

  3. Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang, “Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost”, Proc. NeurIPS 2019, (acceptance rate %21.1)

  4. Songtao Lu, Mingyi Hong and Zhengdao Wang, “On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions”, Proc. International Conference on Machine Learning (ICML) 2019, (acceptance rate %22.5); available at [arXiv.org];

  5. Songtao Lu, Mingyi Hong and Zhengdao Wang, ‘‘Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point”, Proc. ICASSP 2019

  6. Songtao Lu, Ziping Zhao, Kejun Huang and Mingyi Hong, ‘‘'PERTURBED PROJECTED GRADIENT DESCENT CONVERGES TO APPROXIMATE SECOND-ORDER POINTS FOR BOUND CONSTRAINED NONCONVEX PROBLEMS”, Proc. ICASSP 2019

  7. Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, ‘‘Block Alternating Optimization for Non-Convex Min-Max Problems: Algorithms and Applications in Signal Processing and Communications”, Proc. ICASSP 2019

  8. Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong, "On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization”, Proc. International Conference on Learning Representation (ICLR) 2019, (acceptance rate %31); available at [openreview.net];

  9. Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong, "signSGD via Zeroth-Order Oracle”, Proc. International Conference on Learning Representation (ICLR) 2019, (acceptance rate %31); available at [openreview.net];

  10. Haoran Sun, Mingyi Hong, “Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithm”, Asilomar Conference on Communication, Systems and Computers, 2018; Best Student Paper Award (third prize)

  11. Haoran Sun, Ziping Zhao, Xiao Fun and Mingyi Hong, “Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning”, Proc. SPAWC 2018

  12. Zhuoran Yang, Kaiqing Zhang, Mingyi Hong and Tamer Basar, “A Finite Sample Analysis of the Actor-Critic Algorithm”, Proc. CDC 2018

  13. Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, and Mingyi Hong, “Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization”, Proc. NeuroIPS 2018 (acceptance rate %25.1); available at [arXiv.org];

  14. Mingyi Hong, Jason Lee and Meisam Razaviyayn, “Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization”, Proc. ICML 2018 (acceptance rate %24.9), Available at [arXiv.org];

  15. Nan Zhang, Ya-Feng Liu, Hamid Farmanbar,Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo, “SOFTWARE DEFINED RESOURCE ALLOCATION FOR SERVICE-ORIENTED NETWORKS”, Proc. ICASSP 2018

  16. Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos and Mingyi Hong, “LARGE-SCALE REGULARIZED SUMCOR GCCA VIA PENALTY-DUAL DECOMPOSITION”, Proc. ICASSP 2018

  17. Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao, “Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks”, Proc. ICML 2017 (acceptance rate %25.1).

  18. Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong, “Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering”, Proc. ICML 2017 (acceptance rate %25.1); available at [arXiv.org][code].

  19. Ming-Min Zhao, Qingjiang Shi, Mingyi Hong, Yunlong Cai, Minjian Zhao, “Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT”, Proc. WCNC 2017

  20. Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong and Xiao Fu, “Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management”, Proc. SPAWC 2017; available at [arXiv.org], [code].

  21. Songtao Lu, Mingyi Hong and Zhengdao Wang, “A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization”, Proc. AISTATS 2017 (acceptance rate %31.6)

  22. Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So, “Scalable and Flexible MAX-VAR Generalized Canonical Correlation Analysis via Alternating Optimization”, Proc. ICASSP 2017

  23. Qingjiang Shi and Mingyi Hong, “Penalty Dual Decomposition Method With Its Application in Signal Processing”, Proc. ICASSP 2017

  24. Songtao Lu, Mingyi Hong and Zhengdao Wang, “A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization”, Proc. ICASSP 2017

  25. Nan Zhang, Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbarx, and Zhi-Quan Luo， “Traffic Engineering for Backhaul Networks with Wireless Lin Scheduling”, Proc. ICASSP 2017

  26. Ming-Min Zhao, Qingjiang Shi and Mingyi Hong, “A Distributed Algorithm For Dictionary Learning over Networks”, Proc. GlobalSIP 2016,

  27. Davood Hajinezhad, Mingyi Hong, Tuo Zhao and Zhaoran Wang, “NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization”, Proc. NIPS 2016. Available at [arXiv.org]. (acceptance rate %22.72)

  28. Chao Hu, Mingyi Hong and Ha-Lim Jeong “On-Board Analysis of Degradation Mechanisms of Lithium-Ion Battery using Differential Voltage Analysis”, Proc. ASME IDETCT conference 2016

  29. Xingguo Li, Tuo Zhao, Raman Aurora, Han Liu and Mingyi Hong, “An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization”, Proc. AISTATS 2016

  30. Shengyu Zhu, Mingyi Hong, Biao Chen, “Quantized Consensus ADMM for Multi-Agent Distributed Optimization”, Proc. ICASSP 2016

  31. Qingjiang Shi, Mingyi Hong, Enbin Song, Yunlong Cai, Weiqiang Xu, “A Penalty-BSUM approach for rate optimization in Full-Duplex MIMO Relay Networks with Relay Processing Delay”, Proc. ICASSP 2016

  32. Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qinagjiang Shi, Mingyi Hong, “Nonnegative Matrix Factorization using ADMM: Algorithm and Convergence Analysis”, Proc. ICASSP 2016

  33. Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang “Asynchronous Distributed Alternating Direction Method of Multipliers: Algorithm and Convergence Analysis”, Proc, ICASSP 2016

  34. Davood Hajinezhad and Mingyi Hong, “Nonconvex Alternating Direction Method of Multipliers for Distributed Sparse Principal Component Analysis”, Proc. GlobalSIP 2015

  35. Ruoyu Sun* and Mingyi Hong*, “Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems”, Proc. NIPS 2015 (* equal contribution, acceptance rate %21.92)

  36. Wei-Cheng Liao, Mingyi Hong, Ivo Merks, Tao Zhang and Zhi-Quan Luo, “Incorporating Spatial Information into Optimal Binaural Noise Supression Design for Hearing Adis”, Proc. ICASSP 2015

  37. Hung-Wei Tseng, Mingyi Hong and Zhi-Quan Luo, “Combining Sparse NMF with Deep Neural Network: A New Classification Based Approach for Speech Enhancement”, Proc. ICASSP 2015; available [here]

  38. Wei-Cheng Liao, Mingyi Hong, Hamid Farmanbar and Zhi-Quan Luo, “Semi-Asynchronous Routing for Large-Scale Hierarchical Networks", Proc. ICASSP 2015; available [here]

  39. Mingyi Hong, Zhi-Quan Luo and Meisam Razaviyayn, “Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems”, Proc. ICASSP 2015; available [here]

  40. Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo and Jong-Shi Pang, “Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization”, Proc. NIPS 2014, (acceptance rate %24.67); available [here]

  41. Mingyi Hong and Hao Zhu, “Power-Efficient Operation of Wireless Heterogeneous Networks using Smart Grids”, Proc. SmartGridComm, 2014

  42. Mazair Sanjabi, Mingyi Hong, Meisam Razaviyayn and Zhi-Quan Luo, “Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission using Statistical Channel State Information”, Proc. SPAWC 2014

  43. Tsung-Hui Chang, Mingyi Hong and Xiangfeng Wang “Multi-agent Distributed Large-Scale Optimization by Inexact Consensus Alternating Direction Method of Multipliers", Proc. ICASSP 2014

  44. Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyay and Shiqian Ma, Zhi-Quan Luo, “A Block Coordinate Descent Method of Multipliers: Convergence Analysis and Applications", Proc. ICASSP 2014; available [here]

  45. Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyany, Zhi-Quan Luo, “Joint Day-Ahead Power Procurement and Load Scheduling Using Stochastic Alternating Direction Method of Multipliers", Proc. ICASSP 2014; available [here]

  46. Wei-Cheng Liao, Mingyi Hong and Zhi-Quan Luo, “Max-Min Network Flow and Resource Allocation for Backhaul Constrained Heterogeneous Wireless Networks", Proc. ICASSP 2014

  47. Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Jinjun Xiao, Xiangfeng Wang, Zhi-Quan Luo and Tao Zhang, “A Single Channel Speech Enhancement Approach by Combining Statistical Criterion and Multi-Frame Sparse Dictionary Learning", to appear, InterSpeech 2013

  48. Wei-Cheng Liao, Mingyi Hong and Zhi-Quan Luo, “Base Station Activation and LinearTransceiver Design for Utility Maximization in Heterogeneous Networks”, Proc. ICASSP 2013 Shu-Hsien Chu, Mingyi Hong, Zhi-Quan Luo, Kelly Fitz, Martin McKinney, Tao Zhang, “Derivative-Free Optimization Of Hearing Aid Parameters”, Proc. ICASSP 2013

  49. Qiang Li, Mingyi Hong, Hoi-To Wai, Wing-Kin Ma, Ya-Feng Liu and Zhi-Quan Luo, “An AlternatingOptimization Algorithm for the MIMO Secrecy Capacity Problem under Sum Power Power and Per-Antenna Power Constraint", Proc. ICASSP 2013

  50. Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Jinjun Xiao, Zhi-Quan Luo and Tao Zhang,“Single channel speech denoising using Wiener plus dictionary learning approach”, Proc. ICASSP 2013

  51. Mingyi Hong, Meisam Razaviyayn, Ruo-Yu Sun and Zhi-Quan Luo, “Joint Transceiver Design and Base Station Clustering for Heterogeneous Networks”, to appear, Proc Asilomar Conference on Signals, Systems and Computers, 2012

  52. Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong and Zhi-Quan Luo, “SINR Constrained Beamforming for a MIMO Multi-user Downlink System”, Proc. Proc Asilomar Conference on Signals, Systems and Computers, 2012

  53. Jorge Barrera, Mingyi Hong and Alfredo Garcia, “Truthful Multi-unit Conflictive Auction For Spectrum”, Proc. IEEE Globecome 2013

  54. Ruoyu Sun, Mingyi Hong and Zhi-Quan Luo “Optimal Joint Base Station Assignment and Power Allocation in a Multiuser SISO Network”, Proc. IEEE SPAWC 2012

  55. Mingyi Hong and Zhi-Quan Luo, “Joint Linear Precoder Optimization and Base Station Selection for an Uplink MIMO Network: A Game Theoretic Approach”, Proc. IEEE ICASSP 2012

  56. Meisam Razaviyayn, Mingyi Hong and Zhi-Quan Luo “Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max-Min Fairness”, Proc. Asilomar Conference on Signals Systems and Computers, 2011

  57. Mingyi Hong, Alfredo Garcia and Jorge Barrera, “Joint Distributed Access Point Selection and Power Allocation in Cognitive Radio Networks”, Proc. IEEE INFOCOM, 2011 (acceptance rate %15.96)

  58. Zhiheng Xie, Mingyi Hong, Hengchang Liu and John Stankovic, “Quantitative Uncertainty-Based Incremental Localization and Anchor Selection In Wireless Sensor Networks”, Proc. ACM MSWiM 2011 (acceptance rate %30)

  59. Chenyang Li, Mingyi Hong, Randy Cogill and Alfredo Garcia, “An Adaptive Online Ad Auction Scoring Algorithm for Search Engine Revenue Maximization”, INFORMS 2011

  60. Mingyi Hong and Alfredo Garcia, “Competitive Sharing of the Spetrum in Cognitive Radio Networks: A Market Equilibrium Framework”, Proc. IEEE/ACM WiOPT 2010 (acceptance rate %%33.04)

  61. Monica Bugallo, Mingyi Hong and Petar Djurić, “Marginalized Population Monte Carlo”, Proc. IEEE ICASSP 2009