Mingyi Hong

According to our database1, Mingyi Hong authored at least 176 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Spectrum Cartography via Coupled Block-Term Tensor Decomposition.
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

A Study of Piecewise Linear-Quadratic Programs.
J. Optim. Theory Appl., 2020

Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment.
CoRR, 2020

Learning to Beamform in Heterogeneous Massive MIMO Networks.
CoRR, 2020

Imitation Privacy.
CoRR, 2020

Joint Channel Assignment and Power Allocation for Multi-UAV Communication.
CoRR, 2020

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.
CoRR, 2020

Understanding Gradient Clipping in Private SGD: A Geometric Perspective.
CoRR, 2020

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR, 2020

On the Divergence of Decentralized Non-Convex Optimization.
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

Online Proximal-ADMM For Time-varying Constrained Optimization.
CoRR, 2020

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR, 2020

Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Learned Conjugate Gradient Descent Network for Massive MIMO Detection.
Proceedings of the 2020 IEEE International Conference on Communications, 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

Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
IEEE Trans. Signal Process., 2019

ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks.
IEEE Trans. Autom. Control., 2019

Anchor-Free Correlated Topic Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 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

Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization.
Math. Program., 2019

A Communication Efficient Vertical Federated Learning Framework.
CoRR, 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

Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
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

Variance Reduced Policy Evaluation with Smooth Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
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

signSGD via Zeroth-Order Oracle.
Proceedings of the 7th International Conference on Learning Representations, 2019

On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.
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

Deep Learning Based Preamble Detection and TOA Estimation.
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

Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography.
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
Learning to Optimize: Training Deep Neural Networks for Interference Management.
IEEE Trans. Signal Process., 2018

A Distributed Semiasynchronous Algorithm for Network Traffic Engineering.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM.
IEEE Trans. Smart Grid, 2018

A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach.
IEEE Trans. Control. Netw. Syst., 2018

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems.
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

Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems.
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

Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
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

Software Defined Resource Allocation for Service-Oriented Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Finite Sample Analysis of the Actor-Critic Algorithm.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed optimization for Generalized Phase Retrieval Over Networks.
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

Stochastic Proximal Gradient Consensus Over Random Networks.
IEEE Trans. Signal Process., 2017

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2017

Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT.
IEEE Trans. Commun., 2017

Iteration complexity analysis of block coordinate descent methods.
Math. Program., 2017

On the linear convergence of the alternating direction method of multipliers.
Math. Program., 2017

Network Slicing for Service-Oriented Networks Under Resource Constraints.
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

Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization.
CoRR, 2017

Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT.
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

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering.
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

Traffic engineering for backhaul networks with wireless link scheduling.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Penalty dual decomposition method with application in signal processing.
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

Dynamic ADMM for real-time optimal power flow.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Regulation of renewable energy sources to optimal power flow solutions using ADMM.
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

Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming.
IEEE Trans. Signal Process., 2016

Joint Source-Relay Design for Full-Duplex MIMO AF Relay Systems.
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

Efficient Rate Allocation in Wireless Networks Under Incomplete Information.
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

A First Order Free Lunch for SQRT-Lasso.
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

Quantized consensus ADMM for multi-agent distributed optimization.
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

Stochastic proximal gradient consensus over time-varying networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis.
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

A distributed algorithm for dictionary learning over networks.
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

Optimization algorithms for big data with application in wireless networks.
Proceedings of the Big Data over Networks, 2016

2015
Multi-Agent Distributed Optimization via Inexact Consensus ADMM.
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

Semi-asynchronous routing for large scale hierarchical networks.
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

Energy efficiency optimization for multi-user MISO swipt systems.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels.
IEEE Trans. Wirel. Commun., 2014

Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks.
IEEE Trans. Signal Process., 2014

Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming.
IEEE Trans. Commun., 2014

Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach.
IEEE Signal Process. Mag., 2014

Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs.
SIAM J. Optim., 2014

Min Flow Rate Maximization for Software Defined Radio Access Networks.
IEEE J. Sel. Areas Commun., 2014

A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach.
CoRR, 2014

Cross Layer Provision of Future Cellular Networks.
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

Power-efficient operation of wireless heterogeneous networks using Smart Grids.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization.
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

Joint Access Point Selection and Power Allocation for Uplink Wireless Networks.
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

Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization.
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

Derivative-free optimization of hearing aid parameters.
Proceedings of the IEEE International Conference on Acoustics, 2013

Auction design for spectrum allocation under interference constraints.
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

"Cap and Trade" for Congestion Control.
Dyn. Games Appl., 2012

Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks.
CoRR, 2012

An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization
CoRR, 2012

Signal Processing and Optimal Resource Allocation for the Interference Channel
CoRR, 2012

Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks
CoRR, 2012

Optimal joint base station assignment and power allocation in a cellular network.
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

SINR constrained beamforming for a MIMO multi-user downlink system.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Joint transceiver design and base station clustering for heterogeneous networks.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Equilibrium Pricing of Interference in Cognitive Radio Networks.
IEEE Trans. Signal Process., 2011

Averaged Iterative Water-Filling Algorithm: Robustness and Convergence.
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
Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation.
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
Marginalized population Monte Carlo.
Proceedings of the IEEE International Conference on Acoustics, 2009


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