Yingbin Liang

Orcid: 0000-0002-8635-2992

According to our database1, Yingbin Liang authored at least 267 papers between 2004 and 2024.

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Bibliography

2024
Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward.
IEEE Trans. Inf. Theory, September, 2024

Faster algorithm and sharper analysis for constrained Markov decision process.
Oper. Res. Lett., 2024

Toward General Function Approximation in Nonstationary Reinforcement Learning.
IEEE J. Sel. Areas Inf. Theory, 2024

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers.
CoRR, 2024

Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm.
CoRR, 2024

Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis.
CoRR, 2024

Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models.
CoRR, 2024

Non-asymptotic Convergence of Training Transformers for Next-token Prediction.
CoRR, 2024

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks.
CoRR, 2024

Convolutional Neural Networks for Predictive Modeling of Lung Disease.
CoRR, 2024

In-Context Learning with Representations: Contextual Generalization of Trained Transformers.
CoRR, 2024

A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods.
CoRR, 2024

Theory on Mixture-of-Experts in Continual Learning.
CoRR, 2024

Advanced Multimodal Deep Learning Architecture for Image-Text Matching.
CoRR, 2024

Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling.
CoRR, 2024

Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.
CoRR, 2024

Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate.
CoRR, 2024

AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence.
AI Mag., 2024

Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?
Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Towards General Function Approximation in Nonstationary Reinforcement Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2024

In-context Convergence of Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Doubly Robust Instance-Reweighted Adversarial Training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sample Complexity Characterization for Linear Contextual MDPs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Online Min-max Problems with Non-convexity and Non-stationarity.
Trans. Mach. Learn. Res., 2023

Lower Bounds and Accelerated Algorithms for Bilevel Optimization.
J. Mach. Learn. Res., 2023

Rethinking PGD Attack: Is Sign Function Necessary?
CoRR, 2023

Meta ControlNet: Enhancing Task Adaptation via Meta Learning.
CoRR, 2023

Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games.
CoRR, 2023

Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information.
CoRR, 2023

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.
CoRR, 2023

Algorithm Design for Online Meta-Learning with Task Boundary Detection.
CoRR, 2023

Pruning Before Training May Improve Generalization, Provably.
CoRR, 2023

Convergence and Generalization of Wide Neural Networks with Large Bias.
CoRR, 2023

Non-Convex Bilevel Optimization with Time-Varying Objective Functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Efficient Algorithm for Nonstationary Low-Rank MDPs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints.
Proceedings of the International Conference on Machine Learning, 2023

Theory on Forgetting and Generalization of Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023

Non-stationary Reinforcement Learning under General Function Approximation.
Proceedings of the International Conference on Machine Learning, 2023

Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Near-Optimal Adversarial Reinforcement Learning with Switching Costs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Learning to Generalize Provably in Learning to Optimize.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-Secure Capacity-Achieving Feedback Schemes of Gaussian Multiple-Access Wiretap Channels With Degraded Message Sets.
IEEE Trans. Inf. Forensics Secur., 2022

Understanding generalization error of SGD in nonconvex optimization.
Mach. Learn., 2022

Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning.
J. Mach. Learn. Res., 2022

Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward.
CoRR, 2022

A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima.
CoRR, 2022

Deterministic policy gradient: Convergence analysis.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Data sampling affects the complexity of online SGD over dependent data.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Unifying Framework of Off-Policy General Value Function Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Convergence Theory for Hessian-Free Bilevel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Will Bilevel Optimizers Benefit from Loops.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable Generalization of Overparameterized Meta-learning Trained with SGD.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable Benefit of Multitask Representation Learning in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-Based Offline Meta-Reinforcement Learning with Regularization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method.
Proceedings of the Tenth International Conference on Learning Representations, 2022


2021
Understanding Estimation and Generalization Error of Generative Adversarial Networks.
IEEE Trans. Inf. Theory, 2021

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.
SIAM J. Math. Data Sci., 2021

ES-Based Jacobian Enables Faster Bilevel Optimization.
CoRR, 2021

A Unified Off-Policy Evaluation Approach for General Value Function.
CoRR, 2021

Finite-time theory for momentum Q-learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Faster Non-asymptotic Convergence for Double Q-learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provably Faster Algorithms for Bilevel Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality.
Proceedings of the 38th International Conference on Machine Learning, 2021

CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee.
Proceedings of the 38th International Conference on Machine Learning, 2021

Bilevel Optimization: Convergence Analysis and Enhanced Design.
Proceedings of the 38th International Conference on Machine Learning, 2021

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry.
Proceedings of the 9th International Conference on Learning Representations, 2021

Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy.
IEEE Trans. Signal Process., 2020

Impact of Action-Dependent State and Channel Feedback on Gaussian Wiretap Channels.
IEEE Trans. Inf. Theory, 2020

Spectral Algorithms for Community Detection in Directed Networks.
J. Mach. Learn. Res., 2020

Enhancing physical layer security via channel feedback: a survey.
EURASIP J. Wirel. Commun. Netw., 2020

A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis.
CoRR, 2020

Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning.
CoRR, 2020

Momentum Q-learning with Finite-Sample Convergence Guarantee.
CoRR, 2020

Feedback Capacities of Gaussian Multiple-Access Wiretap Channels.
CoRR, 2020

Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization.
CoRR, 2020

Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms.
CoRR, 2020

Improving Sample Complexity Bounds for Actor-Critic Algorithms.
CoRR, 2020

Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms.
CoRR, 2020

Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finite-Time Analysis for Double Q-learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Feedback Capacity of Gaussian Multiple-Access Wiretap Channel with Degraded Message Sets.
Proceedings of the IEEE Information Theory Workshop, 2020

On the Capacity of Gaussian Multiple-Access Wiretap Channels with Feedback.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms.
Proceedings of the 37th International Conference on Machine Learning, 2020

Reanalysis of Variance Reduced Temporal Difference Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Dynamic Spectrum Access in Adversarial Environments.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
K-Medoids Clustering of Data Sequences With Composite Distributions.
IEEE Trans. Signal Process., 2019

State-Dependent Interference Channel With Correlated States.
IEEE Trans. Inf. Theory, 2019

Secrecy Capacity of Colored Gaussian Noise Channels With Feedback.
IEEE Trans. Inf. Theory, 2019

A note on inexact gradient and Hessian conditions for cubic regularized Newton's method.
Oper. Res. Lett., 2019

MIMO Gaussian State-Dependent Channels with a State-Cognitive Helper.
Entropy, 2019

Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation.
CoRR, 2019

Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation.
CoRR, 2019

A simple convergence analysis of Bregman proximal gradient algorithm.
Comput. Optim. Appl., 2019

Cubic Regularization with Momentum for Nonconvex Optimization.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Finite-Sample Analysis for SARSA with Linear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SpiderBoost and Momentum: Faster Variance Reduction Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

The Dirty Paper Wiretap Feedback Channel with or without Action on the State.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

SGD Converges to Global Minimum in Deep Learning via Star-convex Path.
Proceedings of the 7th International Conference on Learning Representations, 2019

Distributed SGD Generalizes Well Under Asynchrony.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Data-Driven Nonparametric Existence and Association Problems.
IEEE Trans. Signal Process., 2018

Degraded Broadcast Channel With Secrecy Outside a Bounded Range.
IEEE Trans. Inf. Theory, 2018

Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers.
IEEE Trans. Inf. Theory, 2018

State-Dependent Gaussian Multiple Access Channels: New Outer Bounds and Capacity Results.
IEEE Trans. Inf. Theory, 2018

Estimation of KL Divergence: Optimal Minimax Rate.
IEEE Trans. Inf. Theory, 2018

Nonparametric Composite Hypothesis Testing in an Asymptotic Regime.
IEEE J. Sel. Top. Signal Process., 2018

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.
J. Mach. Learn. Res., 2018

MR-GAN: Manifold Regularized Generative Adversarial Networks.
CoRR, 2018

SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization.
CoRR, 2018

A Note on Inexact Condition for Cubic Regularized Newton's Method.
CoRR, 2018

Parallel Gaussian Channels Corrupted by Independent States With a State-Cognitive Helper.
CoRR, 2018

Convergence of SGD in Learning ReLU Models with Separable Data.
CoRR, 2018

Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.
CoRR, 2018

Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization.
CoRR, 2018

Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression.
CoRR, 2018

Convergence of Cubic Regularization for Nonconvex Optimization under KL Property.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Minimax Estimation of Neural Net Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Coding Scheme for Colored Gaussian Wiretap Channels with Feedback.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties.
Proceedings of the 6th International Conference on Learning Representations, 2018

Exponentially Consistent K-Means Clustering Algorithm Based on Kolmogrov-Smirnov Test.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Data-Driven Nonparametric Hypothesis Testing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Clustering under composite generative models.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017
Nonparametric Detection of Anomalous Data Streams.
IEEE Trans. Signal Process., 2017

Nonparametric Detection of Geometric Structures Over Networks.
IEEE Trans. Signal Process., 2017

Multi-Key Generation Over a Cellular Model With a Helper.
IEEE Trans. Inf. Theory, 2017

On the Sum-Rate Capacity of Poisson MISO Multiple Access Channels.
IEEE Trans. Inf. Theory, 2017

Sum-Rate Capacity of Poisson MIMO Multiple-Access Channels.
IEEE Trans. Commun., 2017

A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms.
J. Mach. Learn. Res., 2017

Critical Points of Neural Networks: Analytical Forms and Landscape Properties.
CoRR, 2017

Characterization of Gradient Dominance and Regularity Conditions for Neural Networks.
CoRR, 2017

Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent.
CoRR, 2017

State-dependent Z-interference channel with correlated states.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Secrecy capacity of the first-order autoregressive moving average Gaussian channel with feedback.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Outer bounds for Gaussian multiple access channels with state known at one encoder.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Demixing sparse signals via convex optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Gaussian fading channel with secrecy outside a bounded range.
Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

2016
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel.
IEEE Trans. Signal Process., 2016

Capacity Characterization for State-Dependent Gaussian Channel With a Helper.
IEEE Trans. Inf. Theory, 2016

State-Dependent Gaussian Interference Channels: Can State Be Fully Canceled?
IEEE Trans. Inf. Theory, 2016

Reshaped Wirtinger Flow for Solving Quadratic Systems of Equations.
CoRR, 2016

Reshaped Wirtinger Flow for Solving Quadratic System of Equations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

K-user degraded broadcast channel with secrecy outside a bounded range.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Helper-assisted state cancelation for multiple access channels.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Estimation of KL divergence between large-alphabet distributions.
Proceedings of the IEEE International Symposium on Information Theory, 2016

On the sum-rate capacity of non-symmetric Poisson multiple access channel.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Nonparametric detection of an anomalous disk over a two-dimensional lattice network.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Universal outlying sequence detection for continuous observations.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Geometrical properties and accelerated gradient solvers of non-convex phase retrieval.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

On Compressive orthonormal Sensing.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Nonparametric composite outlier detection.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
An Information Theoretic Approach to Secret Sharing.
IEEE Trans. Inf. Theory, 2015

Collective Support Recovery for Multi-Design Multi-Response Linear Regression.
IEEE Trans. Inf. Theory, 2015

On the Capacity Bounds for Poisson Interference Channels.
IEEE Trans. Inf. Theory, 2015

State-Dependent Parallel Gaussian Networks With a Common State-Cognitive Helper.
IEEE Trans. Inf. Theory, 2015

Bounds and Capacity Theorems for Cognitive Interference Channels With State.
IEEE Trans. Inf. Theory, 2015

Optimal Power Allocation for Poisson Channels With Time-Varying Background Light.
IEEE Trans. Commun., 2015

Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications.
Proc. IEEE, 2015

Secure Communications via Physical-Layer and Information-Theoretic Techniques [Scanning the Issue].
Proc. IEEE, 2015

Analysis of Robust PCA via Local Incoherence.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Degraded broadcast channel: Secrecy outside of a bounded range.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Two-key generation for a cellular model with a helper.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Secret key capacity: Talk or keep silent?
Proceedings of the IEEE International Symposium on Information Theory, 2015

State-dependent Gaussian Z-interference channel: Capacity results.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Sequential parallel LASSO models for eQTL analysis.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
The Capacity Region of the Source-Type Model for Secret Key and Private Key Generation.
IEEE Trans. Inf. Theory, 2014

A Broadcast Approach for Fading Wiretap Channels.
IEEE Trans. Inf. Theory, 2014

Nonparametric Detection of Anomalous Data via Kernel Mean Embedding.
CoRR, 2014

Parallel Gaussian Networks with a Common State-Cognitive Helper.
CoRR, 2014

Kernel-based nonparametric anomaly detection.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

A kernel-based nonparametric test for anomaly detection over line networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Sparse sensor selection for nonparametric decentralized detection via L1 regularization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Key capacity region for a cellular source model.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Dirty interference cancellation for Gaussian broadcast channels.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Dirty interference cancelation for multiple access channels.
Proceedings of the International Symposium on Information Theory and its Applications, 2014

Layered secure broadcasting over MIMO channels and application in secret sharing.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Secret key-private key generation over three terminals: Capacity region.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

State-dependent parallel Gaussian channels with a common helper in high power regime.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

On fading poisson channels with varying noise levels.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Unsupervised nonparametric anomaly detection: A kernel method.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Helper-assisted asymmetric two key generation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso.
CoRR, 2013

Layered decoding and secrecy over degraded broadcast channels.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

State-dependent Gaussian Z-channel with mismatched side-information and interference.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Multiple access channel with state uncertainty at transmitters.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On the capacity region of Gaussian interference channels with state.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Block Regularized Lasso for Multivariate Multi-Response Linear Regression.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
A Unified Framework for Key Agreement Over Wireless Fading Channels.
IEEE Trans. Inf. Forensics Secur., 2012

Cooperative Key Generation in Wireless Networks.
IEEE J. Sel. Areas Commun., 2012

Special issue on physical-layer security.
J. Commun. Networks, 2012

Broadcasting over fading wiretap channels.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Nonparametric decentralized detection based on weighted count kernel.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Gaussian cognitive interference channels with state.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling.
IEEE Trans. Inf. Theory, 2011

Fading Cognitive Multiple-Access Channels With Confidential Messages.
IEEE Trans. Inf. Theory, 2011

Secrecy Throughput of MANETs Under Passive and Active Attacks.
IEEE Trans. Inf. Theory, 2011

On the Equivalence of Two Achievable Regions for the Broadcast Channel.
IEEE Trans. Inf. Theory, 2011

Secure Communications Over Wireless Broadcast Networks: Stability and Utility Maximization.
IEEE Trans. Inf. Forensics Secur., 2011

Distributed Cognitive Radio Network Management via Algorithms in Probabilistic Graphical Models.
IEEE J. Sel. Areas Commun., 2011

Secret sharing via noisy broadcast channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

PHY-based cooperative key generation in wireless networks.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Nonparametric decision making based on tree-structured information aggregation.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Capacity bounds for a class of cognitive interference channels with state.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Optimality of beamforming for MIMO multiple access channels via virtual representation.
IEEE Trans. Signal Process., 2010

Multiple-Input Multiple-Output Gaussian Broadcast Channels With Common and Confidential Messages.
IEEE Trans. Inf. Theory, 2010

On the capacity region of the Poisson interference channels.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Key agreement over wireless fading channels with an active attacker.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Capacity of Cognitive Interference Channels With and Without Secrecy.
IEEE Trans. Inf. Theory, 2009

Physical layer security in broadcast networks.
Secur. Commun. Networks, 2009

Information Theoretic Security.
Found. Trends Commun. Inf. Theory, 2009

Compound Wiretap Channels.
EURASIP J. Wirel. Commun. Netw., 2009

Outer Bounds on the Admissible Source Region for Broadcast Channels with Dependent Sources
CoRR, 2009

Opportunistic Communications in Fading Multiaccess Relay Channels
CoRR, 2009

Secrecy throughput of MANETs with malicious nodes.
Proceedings of the IEEE International Symposium on Information Theory, 2009

On the compound MIMO broadcast channels with confidential messages.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Distributed algorithm for collaborative detection in cognitive radio networks.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Secure Communication Over Fading Channels.
IEEE Trans. Inf. Theory, 2008

Multiple-Access Channels With Confidential Messages.
IEEE Trans. Inf. Theory, 2008

Nested codes for secure transmission.
Proceedings of the IEEE 19th International Symposium on Personal, 2008

Recent results on compound wire-tap channels.
Proceedings of the IEEE 19th International Symposium on Personal, 2008

Capacity outer bounds for broadcast channels.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Optimality of beamforming in MIMO multi-access channels via virtual representation.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Equivalence of two inner bounds on the capacity region of the broadcast channel.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Session MA3a: Relaying and cooperation I.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution.
IEEE Trans. Inf. Theory, 2007

Cooperative Relay Broadcast Channels.
IEEE Trans. Inf. Theory, 2007

Rate Regions for Relay Broadcast Channels.
IEEE Trans. Inf. Theory, 2007

Information-Theoretic Security in Wireless Networks
CoRR, 2007

Cognitive Interference Channels with Confidential Messages
CoRR, 2007

Secure Communications over Fading Channels
CoRR, 2007

Secrecy Capacity Region of Binary and Gaussian Multiple Access Channels
CoRR, 2007

Secure Nested Codes for Type II Wiretap Channels
CoRR, 2007

Secrecy Capacity of Semi-deterministic Wire-tap Channels.
Proceedings of the IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007

Opportunistic Communications in an Orthogonal Multiaccess Relay Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Secrecy Capacity Region of Fading Broadcast Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
The Generalized Multiple Access Channel with Confidential Messages
CoRR, 2006

Generalized Multiple Access Channels with Confidential Messages.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Capacity Theorems for Cooperative Relay Broadcast Channels.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005
Multiuser Communications With Relaying and User Cooperation
PhD thesis, 2005

Correlated MIMO wireless channels: capacity, optimal signaling, and asymptotics.
IEEE Trans. Inf. Theory, 2005

Gaussian Orthogonal Relay Channels: Optimal Resource Allocation and Capacity.
IEEE Trans. Inf. Theory, 2005

2004
Capacity of noncoherent time-selective Rayleigh-fading channels.
IEEE Trans. Inf. Theory, 2004

The impact of relaying on the capacity of broadcast channels.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004


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