Ming-yi Hong

Ming-yi Hong's AcademicInfluence.com Rankings

Ming-yi Hong

Engineering

#6581

World Rank

#7917

Historical Rank

Electrical Engineering

#1980

World Rank

#2083

Historical Rank

Applied Physics

#2132

World Rank

#2171

Historical Rank

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Engineering

Ming-yi Hong's Degrees

PhD Electrical Engineering National Taiwan University
Masters Electrical Engineering National Taiwan University
Bachelors Electrical Engineering National Taiwan University

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Ming-yi Hong's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization (2012) (940)
Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems (2014) (742)
On the linear convergence of the alternating direction method of multipliers (2012) (624)
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering (2016) (604)
Learning to Optimize: Training Deep Neural Networks for Interference Management (2018) (367)
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing (2015) (335)
Multi-Agent Distributed Optimization via Inexact Consensus ADMM (2014) (331)
Learning to optimize: Training deep neural networks for wireless resource management (2017) (291)
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks (2012) (263)
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective (2019) (241)
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization (2018) (234)
Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization (2013) (176)
Asynchronous Distributed ADMM for Large-Scale Optimization—Part I: Algorithm and Convergence Analysis (2015) (159)
Iteration complexity analysis of block coordinate descent methods (2013) (137)
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization (2018) (133)
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic (2020) (132)
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks (2017) (120)
Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming (2016) (120)
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications (2019) (118)
A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach (2014) (106)
Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks (2013) (98)
Understanding Gradient Clipping in Private SGD: A Geometric Perspective (2020) (93)
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization—Part I: Algorithms and Convergence Analysis (2020) (90)
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity (2014) (88)
Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness (2011) (88)
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers (2013) (87)
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data (2020) (86)
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization (2014) (84)
Signal Processing and Optimal Resource Allocation for the Interference Channel (2012) (78)
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features (2019) (72)
Stochastic Proximal Gradient Consensus Over Random Networks (2015) (71)
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels (2013) (69)
Network Slicing for Service-Oriented Networks Under Resource Constraints (2017) (68)
Min Flow Rate Maximization for Software Defined Radio Access Networks (2013) (68)
signSGD via Zeroth-Order Oracle (2019) (66)
Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems (2018) (66)
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization (2019) (64)
Perturbed proximal primal–dual algorithm for nonconvex nonsmooth optimization (2019) (59)
Distributed Non-Convex First-Order optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms (2018) (59)
Asynchronous Distributed ADMM for Large-Scale Optimization—Part II: Linear Convergence Analysis and Numerical Performance (2015) (57)
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum (2021) (57)
Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network (2012) (56)
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost (2019) (55)
Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis (2016) (55)
Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM (2018) (54)
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances (2020) (54)
A Communication Efficient Vertical Federated Learning Framework (2019) (51)
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms (2019) (51)
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization (2019) (51)
Joint Source-Relay Design for Full-Duplex MIMO AF Relay Systems (2016) (50)
On lower iteration complexity bounds for the convex concave saddle point problems (2019) (49)
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms (2020) (48)
ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks (2017) (47)
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization (2014) (45)
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization—Part II: Applications (2017) (45)
Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network (2012) (45)
Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications (2016) (44)
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond (2020) (42)
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems (2015) (42)
A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality (2017) (42)
Quantized consensus ADMM for multi-agent distributed optimization (2015) (42)
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization (2016) (42)
Zeroth Order Nonconvex Multi-Agent Optimization over Networks (2017) (41)
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking (2020) (41)
Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks (2012) (38)
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data (2020) (37)
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost (2019) (37)
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks (2020) (36)
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis (2016) (35)
Equilibrium Pricing of Interference in Cognitive Radio Networks (2011) (35)
Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach (2014) (33)
Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable (2013) (31)
SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis (2012) (31)
Penalty dual decomposition method with application in signal processing (2017) (31)
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization (2018) (31)
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator (2019) (29)
Signal Processing and Networking for Big Data Applications (2017) (28)
Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications (2019) (27)
Variance Reduced Policy Evaluation with Smooth Function Approximation (2019) (27)
Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT (2017) (27)
Alternating direction method of multipliers for penalized zero-variance discriminant analysis (2014) (27)
Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement (2015) (26)
Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis (2015) (26)
Averaged Iterative Water-Filling Algorithm: Robustness and Convergence (2011) (26)
A Finite Sample Analysis of the Actor-Critic Algorithm (2018) (26)
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data (2018) (25)
Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning (2018) (25)
A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems (2018) (24)
Joint distributed access point selection and power allocation in cognitive radio networks (2011) (24)
Dynamic ADMM for real-time optimal power flow (2017) (23)
Anchor-Free Correlated Topic Modeling (2019) (23)
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization (2016) (23)
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML (2019) (22)
Generalization Bounds for Stochastic Saddle Point Problems (2020) (22)
Inexact Block Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization (2016) (21)
Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds (2012) (20)
Spectrum Cartography via Coupled Block-Term Tensor Decomposition (2019) (20)
Optimal joint base station assignment and power allocation in a cellular network (2012) (20)
Joint Access Point Selection and Power Allocation for Uplink Wireless Networks (2012) (19)
Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control (2013) (19)
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds (2020) (18)
Semi-asynchronous routing for large scale hierarchical networks (2015) (18)
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization (2021) (18)
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach (2019) (17)
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks (2018) (16)
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization (2016) (16)
Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT (2017) (15)
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization (2019) (15)
Decentralized Riemannian Gradient Descent on the Stiefel Manifold (2021) (15)
Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming (2014) (15)
Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach (2012) (15)
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond (2020) (14)
RMSprop converges with proper hyper-parameter (2021) (13)
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment (2020) (13)
A First Order Free Lunch for SQRT-Lasso (2016) (12)
Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs (2013) (12)
A Study of Piecewise Linear-Quadratic Programs (2017) (12)
Incorporating spatial information in binaural beamforming for noise suppression in hearing aids (2015) (11)
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup (2020) (11)
“Cap and Trade” for Congestion Control (2012) (11)
Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach (2021) (11)
Minimax Problems with Coupled Linear Constraints: Computational Complexity, Duality and Solution Methods (2021) (10)
A distributed algorithm for dictionary learning over networks (2016) (10)
Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack (2020) (10)
An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints (2013) (10)
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection (2018) (10)
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems (2019) (10)
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems (2020) (9)
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective (2021) (9)
Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers (2014) (9)
Learning to Beamform in Heterogeneous Massive MIMO Networks (2020) (9)
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms (2019) (9)
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms (2018) (9)
Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis (2016) (8)
On the Local Linear Rate of Consensus on the Stiefel Manifold (2021) (8)
Base station activation and linear transceiver design for utility maximization in Heterogeneous networks (2013) (8)
Understand the dynamics of GANs via Primal-Dual Optimization (2018) (8)
Energy efficiency optimization for multi-user MISO swipt systems (2015) (8)
First-Order Methods (2017) (8)
To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models? (2021) (7)
Power-efficient operation of wireless heterogeneous networks using Smart Grids (2014) (7)
HETEROGENEOUS WIRELESS NETWORKS (2014) (7)
Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks (2014) (7)
Cross Layer Provision of Future Cellular Networks (2014) (7)
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees (2021) (7)
Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework (2010) (7)
Quantitative uncertainty-based incremental localization and anchor selection in wireless sensor networks (2011) (7)
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization (2020) (7)
Convergence Analysis of ADMM for a Family of Nonconvex Problems (2014) (6)
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations (2021) (6)
Deep Learning Based Preamble Detection and TOA Estimation (2019) (6)
Hybrid Federated Learning: Algorithms and Implementation (2020) (6)
Local Minimizers and Second-Order Conditions in Composite Piecewise Programming via Directional Derivatives (2017) (6)
On the linear convergence of the alternating direction method of multipliers (2016) (5)
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part I: Equilibria and Algorithms for Power Allocation (2011) (5)
ZENITH : A Zeroth-Order Distributed Algorithm for Multi-Agent Nonconvex Optimization (2016) (5)
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization (2017) (5)
Alternating direction method of multipliers for sparse zero-variance discriminant analysis and principal component analysis (2014) (5)
Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems (2020) (5)
Learned Conjugate Gradient Descent Network for Massive MIMO Detection (2020) (5)
Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms (2019) (5)
Efficient Rate Allocation in Wireless Networks Under Incomplete Information (2016) (4)
Efficient Resource Allocation for Multi-UAV Communication Against Adjacent and Co-Channel Interference (2021) (4)
Regulation of renewable energy sources to optimal power flow solutions using ADMM (2017) (4)
A Distributed Semiasynchronous Algorithm for Network Traffic Engineering (2018) (4)
Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography (2019) (4)
Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems (2021) (4)
Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers (2014) (4)
Semidefinite Relaxation for Two Mixed Binary Quadratically Constrained Quadratic Programs: Algorithms and Approximation Bounds (2014) (4)
Primal-Dual First-Order Methods for Affinely Constrained Multi-Block Saddle Point Problems (2021) (4)
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima (2021) (4)
A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning (2013) (4)
A block coordinate descent method of multipliers: Convergence analysis and applications (2014) (4)
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs (2019) (4)
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization (2017) (4)
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function (2016) (4)
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning (2022) (3)
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work (2022) (3)
Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information (2014) (3)
Auction design for spectrum allocation under interference constraints (2013) (3)
A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning (2013) (3)
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach (2020) (3)
Iteration complexity analysis of block coordinate descent methods (2016) (3)
Scalable and Optimal Generalized Canonical Correlation Analysis via Alternating Optimization (2016) (3)
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function (2021) (3)
Distributed optimization for Generalized Phase Retrieval Over Networks (2018) (3)
Stochastic proximal gradient consensus over time-varying networks (2016) (3)
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems (2019) (3)
Joint transceiver design and base station clustering for heterogeneous networks (2012) (3)
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations (2021) (3)
An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems (2022) (2)
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence (2021) (2)
Approximation Algorithm for A Mixed Binary Quadratically Constrained Quadratic Programming Problem (2015) (2)
A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems (2020) (2)
Optimization algorithms for big data with application in wireless networks (2016) (2)
Imitation Privacy (2020) (2)
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses (2021) (2)
Provably Efficient Neural GTD for Off-Policy Learning (2020) (2)
Traffic engineering for backhaul networks with wireless link scheduling (2017) (2)
A penalty-BSUM approach for rate optimization in full-duplex MIMO relay networks with relay processing delay (2016) (2)
On the Divergence of Decentralized Non-Convex Optimization (2020) (2)
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions (2018) (2)
On the Divergence of Decentralized Nonconvex Optimization (2022) (2)
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic (2023) (1)
Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition (2018) (1)
Online Proximal-ADMM For Time-varying Constrained Optimization (2020) (1)
Deep Learning and Applications (2017) (1)
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees (2022) (1)
A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems (2019) (1)
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach (2019) (1)
Perturbed proximal primal–dual algorithm for nonconvex nonsmooth optimization (2019) (1)
Software Defined Resource Allocation for Service-Oriented Networks (2018) (1)
Hybrid Transceiver Design for mmWave MIMO Systems with Non-Linear Power Consumption Model (2017) (1)
Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point (2019) (1)
Joint Transceiver Design for Full-Duplex K-Pair MIMO Interference Channel with Energy Harvesting (2016) (1)
Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink (2011) (1)
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation (2011) (1)
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization (2022) (1)
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition (2019) (0)
Data Parallelism: The Supporting Architecture (2017) (0)
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms (2022) (0)
Compressive Sensing-Based Big Data Analysis (2017) (0)
Nonconvex ADMM for Distributed Sparse PCA (2016) (0)
Big Data Optimization for Communication Networks (2017) (0)
On lower iteration complexity bounds for the convex concave saddle point problems (2021) (0)
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning (2022) (0)
CNV Convex and Nonsmooth Optimization DER Derivative-free and Simulation-based Optimization GLO Global Optimization MUL Multi-Objective and Vector Optimization NON Nonlinear Optimization PLA Optimization Applications in Mathematics of Planet Earth IMP Optimization Implementations and Software PDE PD (2019) (0)
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective (2022) (0)
Joint Channel Assignment and Power Allocation for Multi-UAV Communication (2020) (0)
Technical Report: Equilibrium Pricing of Interference in Cognitive Radio Networks (2011) (0)
Incorporating Spatial Information Into Optimal Binaural Noise Suppression Design for Hearing Aids (2012) (0)
Derivative-free optimization of hearing aid parameters (2013) (0)
A Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and Certain Convex Minimization Problems (2018) (0)
Decomposition by Successive (2012) (0)
Distributed Large-Scale Optimization (2017) (0)
Tensor for Big Data (2017) (0)
DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers (2019) (0)
Overview on parallel sessions / tentative schedule Version from 2019-0711 Cluster Shortcuts (2019) (0)
Big Data Applications (2017) (0)
Massive Data Collection Using Wireless Sensor Networks (2017) (0)
Optimization of Finite Sums (2017) (0)
“Cap and Trade” for Congestion Control (2012) (0)
Alternating direction method of multipliers for penalized zero-variance discriminant analysis (2016) (0)
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity (2022) (0)
An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization (2012) (0)
Processing Large Data Sets in MapReduce (2017) (0)
Big Data Optimization for Smart Grid Systems (2017) (0)

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Ming-yi Hong's Academic­Influence.com Rankings

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Why Is Ming-yi Hong Influential?

Ming-yi Hong's Published Works

Published Works

Ming-yi Hong's AcademicInfluence.com Rankings