Mingyi Hong
Orcid: 0000-0003-1263-9365
According to our database1,
Mingyi Hong
authored at least 261 papers
between 2009 and 2024.
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Bibliography
2024
IEEE Trans. Autom. Control., April, 2024
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.
IEEE Signal Process. Mag., January, 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
CoRR, 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR, 2024
A Survey of Advances in Optimization Methods for Wireless Communication System Design.
CoRR, 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
CoRR, 2024
2023
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality.
SIAM J. Optim., December, 2023
IEEE Trans. Wirel. Commun., July, 2023
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems.
SIAM J. Optim., June, 2023
A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
SIAM J. Optim., March, 2023
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning.
IEEE Trans. Signal Process., 2023
Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup.
IEEE Trans. Signal Process., 2023
Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective.
SIAM J. Optim., 2023
CoRR, 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR, 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data.
CoRR, 2023
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
CoRR, 2023
Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Conference on Robot Learning, 2023
2022
SIAM J. Optim., December, 2022
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective.
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses.
IEEE Trans. Signal Process., 2022
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process., 2022
Math. Program., 2022
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees.
CoRR, 2022
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning.
CoRR, 2022
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning.
CoRR, 2022
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 4th IEEE International Conference on Trust, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms.
Proceedings of the International Conference on Machine Learning, 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Efficient Resource Allocation for Multi-UAV Communication Against Adjacent and Co-Channel Interference.
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Inf. Process. over Networks, 2021
Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
IEEE Trans. Circuits Syst. Video Technol., 2021
To Supervise or Not: How to Effectively Learn Wireless Interference Management Models?
CoRR, 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.
CoRR, 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.
CoRR, 2021
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR, 2021
To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models?
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment.
Proceedings of the IEEE International Conference on Acoustics, 2021
Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications.
IEEE Trans. Signal Process., 2020
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part I: Algorithms and Convergence Analysis.
IEEE Trans. Signal Process., 2020
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.
IEEE Trans. Signal Process., 2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
IEEE Signal Process. Mag., 2020
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag., 2020
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.
Math. Oper. Res., 2020
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.
IEEE J. Sel. Top. Signal Process., 2020
CoRR, 2020
CoRR, 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
CoRR, 2020
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR, 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
CoRR, 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR, 2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR, 2020
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking.
Proceedings of the 37th International Conference on Machine Learning, 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems.
Proceedings of the 2020 American Control Conference, 2020
2019
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms.
IEEE Trans. Signal Process., 2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Autom. Control., 2019
A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems.
Math. Program., 2019
Math. Program., 2019
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
CoRR, 2019
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach.
CoRR, 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR, 2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.
CoRR, 2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR, 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.
CoRR, 2019
Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019
Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications.
Proceedings of the IEEE International Conference on Acoustics, 2019
Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
Proceedings of the IEEE Data Science Workshop, 2019
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition.
Proceedings of the IEEE Data Science Workshop, 2019
Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms.
Proceedings of the 2019 American Control Conference, 2019
DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Inf. Process. over Networks, 2018
IEEE Trans. Smart Grid, 2018
A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach.
IEEE Trans. Control. Netw. Syst., 2018
IEEE J. Sel. Top. Signal Process., 2018
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions.
CoRR, 2018
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization.
CoRR, 2018
CoRR, 2018
Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT.
IEEE Trans. Commun., 2017
Math. Program., 2017
Math. Program., 2017
IEEE J. Sel. Areas Commun., 2017
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
J. Mach. Learn. Res., 2017
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
Learning to optimize: Training deep neural networks for wireless resource management.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
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, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Hybrid Transceiver Design for mmWave MIMO Systems with Non-Linear Power Consumption Model.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 2017 American Control Conference, 2017
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control.
IEEE Trans. Wirel. Commun., 2016
Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
IEEE Trans. Wirel. Commun., 2016
SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance.
IEEE Trans. Signal Process., 2016
Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2016
IEEE Trans. Autom. Control., 2016
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing.
IEEE Signal Process. Mag., 2016
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems.
SIAM J. Optim., 2016
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization.
CoRR, 2016
Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications.
CoRR, 2016
Alternating direction method of multipliers for penalized zero-variance discriminant analysis.
Comput. Optim. Appl., 2016
Joint Transceiver Design for Full-Duplex K-Pair MIMO Interference Channel with Energy Harvesting.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A penalty-BSUM approach for rate optimization in full-duplex MIMO relay networks with relay processing delay.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Big Data over Networks, 2016
2015
IEEE Trans. Signal Process., 2015
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity.
IEEE J. Sel. Areas Commun., 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Incorporating spatial information in binaural beamforming for noise suppression in hearing aids.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
IEEE Trans. Wirel. Commun., 2014
Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks.
IEEE Trans. Signal Process., 2014
IEEE Trans. Commun., 2014
IEEE Signal Process. Mag., 2014
Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs.
SIAM J. Optim., 2014
IEEE J. Sel. Areas Commun., 2014
A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach.
CoRR, 2014
Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014
Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks.
Proceedings of the IEEE International Conference on Acoustics, 2014
A block coordinate descent method of multipliers: Convergence analysis and applications.
Proceedings of the IEEE International Conference on Acoustics, 2014
Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network.
IEEE Trans. Signal Process., 2013
IEEE Trans. Signal Process., 2013
Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable.
IEEE Signal Process. Lett., 2013
Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness.
Signal Process., 2013
A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization.
SIAM J. Optim., 2013
IEEE J. Sel. Areas Commun., 2013
Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds.
IEEE J. Sel. Areas Commun., 2013
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks.
IEEE J. Sel. Areas Commun., 2013
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers.
CoRR, 2013
A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning.
Proceedings of the INTERSPEECH 2013, 2013
A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2013
Base station activation and linear transceiver design for utility maximization in Heterogeneous networks.
Proceedings of the IEEE International Conference on Acoustics, 2013
An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 2013 IEEE Global Communications Conference, 2013
2012
Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network.
IEEE J. Sel. Areas Commun., 2012
Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
CoRR, 2012
CoRR, 2012
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks
CoRR, 2012
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012
Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Signal Process., 2011
Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink
CoRR, 2011
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation
CoRR, 2011
Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part I: Equilibria and Algorithms for Power Allocation
CoRR, 2011
Quantitative uncertainty-based incremental localization and anchor selection in wireless sensor networks.
Proceedings of the 14th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2011
Joint distributed access point selection and power allocation in cognitive radio networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
2010
IEEE J. Sel. Top. Signal Process., 2010
Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework.
Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2010), May 31, 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009