2025
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration.
CoRR, January, 2025
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment.
CoRR, January, 2025
2024
Analysis of Fork-Join Scheduling on Heterogeneous Parallel Servers.
IEEE/ACM Trans. Netw., December, 2024
Hierarchical Adversarial Inverse Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments.
Inf., August, 2024
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN.
IEEE Netw. Lett., June, 2024
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer.
IEEE J. Biomed. Health Informatics, May, 2024
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design.
IEEE/ACM Trans. Netw., April, 2024
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.
IEEE/ACM Trans. Netw., February, 2024
Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift.
IEEE/ACM Trans. Netw., February, 2024
Insdel codes from subspace and rank-metric codes.
Discret. Math., January, 2024
A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks.
IEEE Trans. Veh. Technol., 2024
Coded Caching With Heterogeneous User Profiles.
IEEE Trans. Inf. Theory, 2024
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation?
IEEE Open J. Commun. Soc., 2024
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms.
Found. Trends Optim., 2024
Stochastic <i>k</i>-Submodular Bandits with Full Bandit Feedback.
CoRR, 2024
On The Global Convergence Of Online RLHF With Neural Parametrization.
CoRR, 2024
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion.
CoRR, 2024
Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs.
CoRR, 2024
A Scalable Quantum Non-local Neural Network for Image Classification.
CoRR, 2024
An Accelerated Multi-level Monte Carlo Approach for Average Reward Reinforcement Learning with General Policy Parametrization.
CoRR, 2024
Variational Offline Multi-agent Skill Discovery.
CoRR, 2024
A Bi-directional Quantum Search Algorithm.
CoRR, 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis.
CoRR, 2024
Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes.
CoRR, 2024
Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic.
CoRR, 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.
CoRR, 2024
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
CoRR, 2024
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model.
CoRR, 2024
A Generalized Approach to Online Convex Optimization.
CoRR, 2024
Quantum-Enhanced Spiking Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Stochastic Q-learning for Large Discrete Action Spaces.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
FilFL: Client Filtering for Optimized Client Participation in Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Combinatorial Stochastic-Greedy Bandit.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point.
IEEE/ACM Trans. Netw., December, 2023
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks.
IEEE Commun. Mag., December, 2023
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs.
IEEE Trans. Artif. Intell., October, 2023
Machine Learning for Robust Network Design: A New Perspective.
IEEE Commun. Mag., October, 2023
Adaptive Video Streaming With Automatic Quality-of-Experience Optimization.
IEEE Trans. Mob. Comput., August, 2023
A Community-Aware Framework for Social Influence Maximization.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
Classical simulation of variational quantum classifiers using tensor rings.
Appl. Soft Comput., July, 2023
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints.
IEEE Trans. Veh. Technol., May, 2023
Latency Minimization for Mobile Edge Computing Networks.
IEEE Trans. Mob. Comput., April, 2023
Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence.
SIGMETRICS Perform. Evaluation Rev., April, 2023
Asymptotic Analysis of Probabilistic Scheduling for Erasure-Coded Heterogeneous Systems.
SIGMETRICS Perform. Evaluation Rev., April, 2023
An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design.
J. Comput. Des. Eng., April, 2023
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification.
Appl. Soft Comput., March, 2023
DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming.
IEEE Trans. Serv. Comput., 2023
An Optimization Framework Based on Deep Reinforcement Learning Approaches for Prism Blockchain.
IEEE Trans. Serv. Comput., 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State.
Trans. Mach. Learn. Res., 2023
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward.
Trans. Mach. Learn. Res., 2023
Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming.
IEEE Trans. Mob. Comput., 2023
Heat-assisted detection and ranging.
Nat., 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints.
J. Mach. Learn. Res., 2023
Reinforcement Learning for Joint Optimization of Multiple Rewards.
J. Mach. Learn. Res., 2023
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision.
CoRR, 2023
Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning.
CoRR, 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks.
CoRR, 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning.
CoRR, 2023
Scalable Multi-agent Skill Discovery based on Kronecker Graphs.
CoRR, 2023
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization.
CoRR, 2023
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.
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CoRR, 2023
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization.
CoRR, 2023
Hierarchical Deep Counterfactual Regret Minimization.
CoRR, 2023
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback.
CoRR, 2023
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks.
CoRR, 2023
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning.
CoRR, 2023
FilFL: Accelerating Federated Learning via Client Filtering.
CoRR, 2023
Quantum Heavy-tailed Bandits.
CoRR, 2023
A Unified Approach for Maximizing Continuous DR-submodular Functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
An Intelligent Learning Approach to Achieve Near-Second Low-Latency Live Video Streaming under Highly Fluctuating Networks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
A Data-Driven Framework for TCP to Achieve Flexible QoS Control in Mobile Data Networks.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Deep Spiking Quantum Neural Network for Noisy Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback.
Proceedings of the International Conference on Machine Learning, 2023
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization.
Proceedings of the International Conference on Machine Learning, 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Domain Adaptive Few-Shot Open-Set Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Fractional Budget Allocation for Influence Maximization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
10 Years of Natural Data Storage.
IEEE Trans. Mol. Biol. Multi Scale Commun., December, 2022
Queueing Theoretic Models for Uncoded and Coded Multicast Wireless Networks With Caches.
IEEE Trans. Wirel. Commun., 2022
Escaping Saddle Points for Successive Convex Approximation.
IEEE Trans. Signal Process., 2022
Joint Information Freshness and Completion Time Optimization for Vehicular Networks.
IEEE Trans. Serv. Comput., 2022
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks.
IEEE/ACM Trans. Netw., 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning.
Trans. Mach. Learn. Res., 2022
Concave Utility Reinforcement Learning with Zero-Constraint Violations.
Trans. Mach. Learn. Res., 2022
A Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022
PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning.
IEEE Trans. Intell. Transp. Syst., 2022
AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection.
IEEE Trans. Intell. Transp. Syst., 2022
Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD.
IEEE Trans. Ind. Informatics, 2022
A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk.
IEEE Trans. Hum. Mach. Syst., 2022
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks.
IEEE Trans. Cogn. Commun. Netw., 2022
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC).
J. Mach. Learn. Res., 2022
Multi-Agent Multi-Armed Bandits with Limited Communication.
J. Mach. Learn. Res., 2022
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.
J. Artif. Intell. Res., 2022
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process.
CoRR, 2022
Multi-agent Deep Covering Option Discovery.
CoRR, 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL).
CoRR, 2022
A Community-Aware Framework for Social Influence Maximization.
CoRR, 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
CoRR, 2022
Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning.
CoRR, 2022
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs.
CoRR, 2022
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming.
Algorithms, 2022
Reinforcement Learning for Mean-Field Game.
Algorithms, 2022
An explore-then-commit algorithm for submodular maximization under full-bandit feedback.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Information theoretic approach to detect collusion in multi-agent games.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Multi-Objective Reinforcement Learning with Non-Linear Scalarization.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Optimized Portfolio Contracts for Bidding the Cloud.
IEEE Trans. Serv. Comput., 2021
A Unified Framework for Flexible Playback Latency Control in Live Video Streaming.
IEEE Trans. Parallel Distributed Syst., 2021
Single-Forking of Coded Subtasks for Straggler Mitigation.
IEEE/ACM Trans. Netw., 2021
VidCloud: Joint Stall and Quality Optimization for Video Streaming over Cloud.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021
NPSCS: Non-Preemptive Stochastic Coflow Scheduling With Time-Indexed LP Relaxation.
IEEE Trans. Netw. Serv. Manag., 2021
On the Approximability of Related Machine Scheduling Under Arbitrary Precedence.
IEEE Trans. Netw. Serv. Manag., 2021
Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks.
IEEE Trans. Netw. Sci. Eng., 2021
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation.
IEEE Trans. Intell. Transp. Syst., 2021
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021
Stochastic Top <i>K</i>-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization.
Trans. Data Sci., 2021
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning.
IEEE Trans. Commun., 2021
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems.
IEEE Trans. Cloud Comput., 2021
Blind decision making: Reinforcement learning with delayed observations.
Pattern Recognit. Lett., 2021
Preemptive scheduling on unrelated machines with fractional precedence constraints.
J. Parallel Distributed Comput., 2021
Modeling and Optimization of Latency in Erasure-coded Storage Systems.
Found. Trends Commun. Inf. Theory, 2021
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning.
Entropy, 2021
Machine Learning for Communications.
Entropy, 2021
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach.
CoRR, 2021
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning.
CoRR, 2021
An FEA surrogate model with Boundary Oriented Graph Embedding approach.
CoRR, 2021
Markov Decision Processes with Long-Term Average Constraints.
CoRR, 2021
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.
CoRR, 2021
Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach.
CoRR, 2021
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach.
CoRR, 2021
Quantum Entropic Causal Inference.
CoRR, 2021
A Supervised Learning Approach for Robust Health Monitoring using Face Videos.
CoRR, 2021
SARTRES: a semi-autonomous robot teleoperation environment for surgery.
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Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis.
Comput. Biol. Medicine, 2021
Communication efficient parallel reinforcement learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Video-based AI Decision Support System for Lifting Risk Assessment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Auditable serverless computing for farm management.
Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2021
Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Novelty Detection and Adaptation: A Domain Agnostic Approach.
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021
DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent.
Proceedings of the IEEE Global Communications Conference, 2021
Training spiking neural networks with a multi-agent evolutionary robotics framework.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback.
Proceedings of the Algorithmic Learning Theory, 2021
Reinforcement Learning for Constrained Markov Decision Processes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Optimal Server Selection for Straggler Mitigation.
IEEE/ACM Trans. Netw., 2020
TTLCache: Taming Latency in Erasure-Coded Storage Through TTL Caching.
IEEE Trans. Netw. Serv. Manag., 2020
Tiered Spectrum Measurement Markets for Joint Licensed and Unlicensed Secondary Access.
IEEE Trans. Netw. Sci. Eng., 2020
Optimizing TCP Loss Recovery Performance Over Mobile Data Networks.
IEEE Trans. Mob. Comput., 2020
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding.
IEEE Trans. Mob. Comput., 2020
Low-Tubal-Rank Tensor Completion Using Alternating Minimization.
IEEE Trans. Inf. Theory, 2020
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP.
IEEE Trans. Circuits Syst. Video Technol., 2020
Straggler Mitigation With Tiered Gradient Codes.
IEEE Trans. Commun., 2020
Fundamental sampling patterns for low-rank multi-view data completion.
Pattern Recognit., 2020
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures.
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IEEE Open J. Comput. Soc., 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning.
J. Mach. Learn. Res., 2020
Preemptive scheduling for approximate computing on heterogeneous machines: Tradeoff between weighted accuracy and makespan.
Inf. Process. Lett., 2020
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents.
CoRR, 2020
A multi-agent evolutionary robotics framework to train spiking neural networks.
CoRR, 2020
DART: aDaptive Accept RejecT for non-linear top-K subset identification.
CoRR, 2020
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming.
CoRR, 2020
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation.
CoRR, 2020
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks.
CoRR, 2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks.
CoRR, 2020
Efficient Gaussian Process Bandits by Believing only Informative Actions.
CoRR, 2020
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints.
CoRR, 2020
Designing efficient communication infrastructure in post-disaster situations with limited availability of network resources.
Comput. Commun., 2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks.
IEEE Commun. Mag., 2020
AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
An Embedded Index Code Construction Using Sub-packetization.
Proceedings of the IEEE Information Theory Workshop, 2020
Sequential addition of coded sub-tasks for straggler mitigation.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Freeway: An Order-less User-space Framework for Non-real-time Applications.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020
A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning.
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020
Communication Efficient Framework for Decentralized Machine Learning.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains.
Proceedings of the IEEE International Conference on Blockchain, 2020
2019
A Low-Complexity Detection Algorithm for Uplink Massive MIMO Systems Based on Alternating Minimization.
IEEE Wirel. Commun. Lett., 2019
SmartStreamer: Preference-Aware Multipath Video Streaming Over MPTCP.
IEEE Trans. Veh. Technol., 2019
GroupCast: Preference-Aware Cooperative Video Streaming With Scalable Video Coding.
IEEE/ACM Trans. Netw., 2019
Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming Systems.
IEEE/ACM Trans. Netw., 2019
Generalization of LRU Cache Replacement Policy with Applications to Video Streaming.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019
Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding.
IEEE Trans. Netw. Serv. Manag., 2019
TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems.
IEEE Trans. Netw. Serv. Manag., 2019
DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2019
Coded Caching With Distributed Storage.
IEEE Trans. Inf. Theory, 2019
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor.
IEEE Trans. Inf. Theory, 2019
Strategic Prosumers: How to Set the Prices in a Tiered Market?
IEEE Trans. Ind. Informatics, 2019
GiantClient: Video HotSpot for Multi-User Streaming.
IEEE Trans. Circuits Syst. Video Technol., 2019
Deadline and Buffer Constrained Knapsack Problem.
IEEE Trans. Circuits Syst. Video Technol., 2019
On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem With Fully-Participated Interactions.
IEEE Trans. Commun., 2019
Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems.
IEEE Trans. Commun., 2019
DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks.
IEEE Trans. Cogn. Commun. Netw., 2019
Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering.
IEEE Trans. Cloud Comput., 2019
Principal component analysis with tensor train subspace.
Pattern Recognit. Lett., 2019
Hybrid algorithms for placement of virtual machines across geo-separated data centers.
J. Comb. Optim., 2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures.
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CoRR, 2019
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent.
CoRR, 2019
Encoders and Decoders for Quantum Expander Codes Using Machine Learning.
CoRR, 2019
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making.
CoRR, 2019
Reinforcement Learning for Mean Field Game.
CoRR, 2019
Queuing Theoretic Models for Multicasting Under Fading.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019
Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
A Method to Improve Consensus Averaging using Quantized ADMM.
Proceedings of the IEEE International Symposium on Information Theory, 2019
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
On the Information Freshness and Tail Latency Trade-Off in Mobile Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Deep Q-Learning for Chunk-based Caching in Data Processing Networks.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Deep Reinforcement Learning Based Power Control for Wireless Multicast Systems.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Menu-Based Pricing for Charging of Electric Vehicles With Vehicle-to-Grid Service.
IEEE Trans. Veh. Technol., 2018
Tensor Train Neighborhood Preserving Embedding.
IEEE Trans. Signal Process., 2018
Control of Charging of Electric Vehicles Through Menu-Based Pricing.
IEEE Trans. Smart Grid, 2018
LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming.
IEEE/ACM Trans. Netw., 2018
Video Streaming in Distributed Erasure-Coded Storage Systems: Stall Duration Analysis.
IEEE/ACM Trans. Netw., 2018
Optimal Transmission Policies for Multi-Hop Energy Harvesting Systems.
IEEE Trans. Green Commun. Netw., 2018
Energy Scheduling for Optical Channels With Energy Harvesting Devices.
IEEE Trans. Green Commun. Netw., 2018
Spectrum Measurement Markets for Tiered Spectrum Access.
IEEE Trans. Cogn. Commun. Netw., 2018
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion.
IEEE Signal Process. Lett., 2018
Differentiated service policy in smart warehouse automation.
Int. J. Prod. Res., 2018
Family of Constrained Codes for Archival DNA Data Storage.
IEEE Commun. Lett., 2018
A Robust Algorithm for Tile-based 360-degree Video Streaming with Uncertain FoV Estimation.
CoRR, 2018
Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity.
CoRR, 2018
Covfefe: A Computer Vision Approach For Estimating Force Exertion.
CoRR, 2018
A Low Complexity Detection Algorithm Based on Alternating Minimization.
CoRR, 2018
Optimal Linear Broadcast Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions.
CoRR, 2018
Optimized Video Streaming over Cloud: A Stall-Quality Trade-off.
CoRR, 2018
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming.
CoRR, 2018
Exchange of Renewable Energy among Prosumers using Blockchain with Dynamic Pricing.
CoRR, 2018
Menu-Based Pricing for Profitable Electric Vehicle Charging with Vehicle-to-Grid Service.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Low Complexity Algorithm for Multi-path Video Streaming.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Stall-Quality Tradeoff for Cloud-based Video Streaming.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Stochastic non-preemptive co-flow scheduling with time-indexed relaxation.
Proceedings of the IEEE INFOCOM 2018, 2018
GroupCast: Preference-aware cooperative video streaming with scalable video coding.
Proceedings of the IEEE INFOCOM 2018, 2018
Mean latency optimization in erasure-coded distributed storage systems.
Proceedings of the IEEE INFOCOM 2018, 2018
EdgeCache: An optimized algorithm for CDN-based over-the-top video streaming services.
Proceedings of the IEEE INFOCOM 2018, 2018
QoE-Aware Resource Allocation for Small Cells.
Proceedings of the IEEE Global Communications Conference, 2018
Wide Compression: Tensor Ring Nets.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Joint Energy-Bandwidth Allocation for Multiuser Channels With Cooperating Hybrid Energy Nodes.
IEEE Trans. Veh. Technol., 2017
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage.
IEEE/ACM Trans. Netw., 2017
Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage.
IEEE Trans. Netw. Serv. Manag., 2017
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model.
Pattern Recognit. Lett., 2017
Rank Determination for Low-Rank Data Completion.
J. Mach. Learn. Res., 2017
On the DoF of two-way 2 × 2 × 2 relay networks with or without relay caching.
IET Commun., 2017
The DoF of Two-Way Butterfly Networks.
IEEE Commun. Lett., 2017
Interference management with mismatched partial channel state information.
EURASIP J. Wirel. Commun. Netw., 2017
On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines.
CoRR, 2017
A Rate Adaptation Algorithm for Tile-based 360-degree Video Streaming.
CoRR, 2017
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data.
CoRR, 2017
Taming Tail Latency for Erasure-coded, Distributed Storage Systems.
CoRR, 2017
Joint Upload-Download TCP Acceleration over Mobile Data Networks.
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017
A characterization of sampling patterns for low-rank multi-view data completion problem.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
A characterization of sampling patterns for low-tucker-rank tensor completion problem.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Taming tail latency for erasure-coded, distributee storage systems.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Efficient Low Rank Tensor Ring Completion.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Control of charging of electric vehicles through menu-based pricing under uncertainty.
Proceedings of the IEEE International Conference on Communications, 2017
Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes.
Proceedings of the IEEE International Conference on Communications, 2017
An approximation of the CP-rank of a partially sampled tensor.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Transmission With Energy Harvesting Nodes in Frequency-Selective Fading Channels.
IEEE Trans. Wirel. Commun., 2016
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage.
IEEE/ACM Trans. Netw., 2016
Leveraging Physical-Layer Capabilites: Distributed Scheduling in Interference Networks With Local Views.
IEEE/ACM Trans. Netw., 2016
Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms.
IEEE/ACM Trans. Netw., 2016
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization.
IEEE Trans. Mob. Comput., 2016
On the Symmetric $K$ -User Interference Channels With Limited Feedback.
IEEE Trans. Inf. Theory, 2016
Antenna Placement for MIMO Localization Systems With Varying Quality of Receiver Hardware Elements.
IEEE Signal Process. Lett., 2016
Optimal Energy-Bandwidth Allocation for Energy-Harvesting Networks in Multiuser Fading Channels.
IEEE J. Sel. Areas Commun., 2016
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model.
CoRR, 2016
Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor.
CoRR, 2016
Tail Index for a Distributed Storage System with Pareto File Size Distribution.
CoRR, 2016
Reliability of k-out-of-n Data Storage System with Deterministic Parallel and Serial Repair.
CoRR, 2016
On deterministic conditions for subspace clustering under missing data.
Proceedings of the IEEE International Symposium on Information Theory, 2016
A QoS-enabled holistic optimization framework for LTE-Advanced heterogeneous networks.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016
Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Inferring smartphone service quality using tensor methods.
Proceedings of the 12th International Conference on Network and Service Management, 2016
A note on information-theoretic bounds on matrix completion under union of subspaces model.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs.
IEEE Trans. Inf. Theory, 2015
On the Capacity Regions of Two-Way Diamond Channels.
IEEE Trans. Inf. Theory, 2015
Joint Energy-Bandwidth Allocation in Multiple Broadcast Channels With Energy Harvesting.
IEEE Trans. Commun., 2015
Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting.
IEEE J. Sel. Areas Commun., 2015
On the Capacity of Energy Harvesting Communication Link.
IEEE J. Sel. Areas Commun., 2015
Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints.
CoRR, 2015
Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model.
CoRR, 2015
Energy-subchannel allocation for energy harvesting nodes in frequency-selective channels.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Energy-bandwidth allocation in multiple orthogonal broadcast channels with energy harvesting.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Capacity of two-way linear deterministic diamond channel.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Mitigating macro-cell outage in LTE-Advanced deployments.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015
A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data Centers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Taming Latency in Data Center Networking with Erasure Coded Files.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
Energy harvesting communication using limited battery with efficiency.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks.
IEEE Trans. Veh. Technol., 2014
On the Capacity and Degrees of Freedom Regions of Two-User MIMO Interference Channels With Limited Receiver Cooperation.
IEEE Trans. Inf. Theory, 2014
Power Allocation for Energy Harvesting Transmitter With Causal Information.
IEEE Trans. Commun., 2014
Joint latency and cost optimization for erasurecoded data center storage.
SIGMETRICS Perform. Evaluation Rev., 2014
Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part II: Multiple Broadcast Channels & Proportional Fairness.
CoRR, 2014
Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part I: Optimum Algorithm & Multiple Point-to-Point Channels.
CoRR, 2014
Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements.
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications, 2014
Modeling web quality-of-experience on cellular networks.
Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014
Optimal energy-bandwidth allocation for energy harvesting interference networks.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Distributed data storage systems with opportunistic repair.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
On the symmetric K-user linear deterministic interference channels with limited feedback.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Optimizing Cloud Resources for Delivering IPTV Services Through Virtualization.
IEEE Trans. Multim., 2013
Capacity of All Nine Models of Channel Output Feedback for the Two-User Interference Channel.
IEEE Trans. Inf. Theory, 2013
On the Capacity Region and the Generalized Degrees of Freedom Region for the MIMO Interference Channel With Feedback.
IEEE Trans. Inf. Theory, 2013
Performance of a Random-Access Wireless Network With a Mix of Full- and Half-Duplex Stations.
IEEE Commun. Lett., 2013
On the Capacity and Degrees of Freedom Regions of MIMO Interference Channels with Limited Receiver Cooperation.
CoRR, 2013
Exact-repair regenerating codes via layered erasure correction and block designs.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Generalized degrees of freedom region for MIMO interference channel with feedback.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Beyond interference avoidance: Distributed sub-network scheduling in wireless networks with local views.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Renewable energy scheduling for fading channels with maximum power constraint.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
Degrees of freedom region for MIMO interference channel with limited receiver cooperation.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
Sum Capacity of Interference Channels With a Local View: Impact of Distributed Decisions.
IEEE Trans. Inf. Theory, 2012
Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks
CoRR, 2012
Achieving Approximate Soft Clustering in Data Streams
CoRR, 2012
Full- or half-duplex? A capacity analysis with bounded radio resources.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012
Writing on insertion paper.
Proceedings of IEEE International Conference on Communications, 2012
Datacenter net profit optimization with deadline dependent pricing.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
Aligned precoder designs for interference channels based on chordal distance.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
Bits About the Channel: Multiround Protocols for Two-Way Fading Channels.
IEEE Trans. Inf. Theory, 2011
On Achieving Local View Capacity Via Maximal Independent Graph Scheduling.
IEEE Trans. Inf. Theory, 2011
The Effect of Eavesdroppers on Network Connectivity: A Secrecy Graph Approach.
IEEE Trans. Inf. Forensics Secur., 2011
Wireless Network Coding with Local Network Views: Coded Layer Scheduling
CoRR, 2011
Effective Relaying in Two-user Interference Channel with Different Models of Channel Output Feedback
CoRR, 2011
Scalable geocast for vehicular networks (poster).
Proceedings of the 2011 IEEE Vehicular Networking Conference, 2011
Characterizing fairness for 3G wireless networks.
Proceedings of the 18th IEEE Workshop on Local & Metropolitan Area Networks, 2011
Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Power-controlled feedback and training for two-way MIMO channels.
IEEE Trans. Inf. Theory, 2010
Volume thresholds for quantum fault tolerance.
Quantum Inf. Process., 2010
Sum capacity of general deterministic interference channel with channel output feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2010
Modeling location uncertainty for eavesdroppers: A secrecy graph approach.
Proceedings of the IEEE International Symposium on Information Theory, 2010
Normalized sum-capacity of interference networks with partial information.
Proceedings of the IEEE International Symposium on Information Theory, 2010
How (information theoretically) optimal are distributed decisions?
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
On the capacity of multi-hop wireless networks with partial network knowledge.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel.
IEEE Trans. Wirel. Commun., 2009
On maximizing coverage in Gaussian relay channels.
IEEE Trans. Inf. Theory, 2009
Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels.
EURASIP J. Wirel. Commun. Netw., 2009
Bits About the Channel: Multi-round Protocols for Two-way Fading Channels
CoRR, 2009
On Channel Output Feedback in Deterministic Interference Channels
CoRR, 2009
Ergodic Layered Erasure One-Sided Interference Channels
CoRR, 2009
The effectiveness of intelligent scheduling for multicast video-on-demand.
Proceedings of the 17th International Conference on Multimedia 2009, 2009
Information secrecy from multiple eavesdroppers in orthogonal relay channels.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Engineering fault tolerance for realistic quantum systems via the full error dynamics of quantum codes.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Message passing in distributed wireless networks.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Wiretap channel type II with an active eavesdropper.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Interference networks with local view: A distributed optimization approach.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
Distributed universally optimal strategies for interference channels with partial message passing.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
Enhanced CDMA communications using compressed-sensing reconstruction methods.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Boolean Functions, Projection Operators, and Quantum Error Correcting Codes.
IEEE Trans. Inf. Theory, 2008
Performance of multiple access channels with asymmetric feedback.
IEEE J. Sel. Areas Commun., 2008
Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information.
EURASIP J. Wirel. Commun. Netw., 2008
Distributed Joint Source-Channel Coding for arbitrary memoryless correlated sources and Source coding for Markov correlated sources using LDPC codes
CoRR, 2008
Diversity order gain with noisy feedback in multiple access channels.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
On multiple access channels with asymmetric feedback.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Two models for noisy feedback in MIMO channels.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
On Maximizing Coverage in Gaussian Relay Networks.
Proceedings of the IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007