Vaneet Aggarwal
Orcid: 0000-0001-9131-4723Affiliations:
- Purdue University, West Lafayette, IN, USA
- King Abdulaziz University, Jeddah, Saudi Arabia
- IISc, Bangalore, India (2018 - 2019)
- Columbia University, New York, NY, USA (2013 - 2014)
- AT&T Labs-Research, Florham Park, NJ, USA (2010 - 2014)
- Princeton University, NJ, USA (PhD 2010)
According to our database1,
Vaneet Aggarwal
authored at least 379 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments.
Inf., August, 2024
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
A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks.
IEEE Trans. Veh. Technol., 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
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion.
CoRR, 2024
CoRR, 2024
An Accelerated Multi-level Monte Carlo Approach for Average Reward Reinforcement Learning with General Policy Parametrization.
CoRR, 2024
CoRR, 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization.
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
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm.
CoRR, 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
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
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
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
IEEE Trans. Artif. Intell., October, 2023
IEEE Commun. Mag., October, 2023
IEEE Trans. Mob. Comput., August, 2023
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
Appl. Soft Comput., July, 2023
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints.
IEEE Trans. Veh. Technol., May, 2023
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
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
Trans. Mach. Learn. Res., 2023
Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming.
IEEE Trans. Mob. Comput., 2023
J. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision.
CoRR, 2023
CoRR, 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning.
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.
CoRR, 2023
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the International Joint Conference on Neural Networks, 2023
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
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
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
IEEE Trans. Signal Process., 2022
IEEE Trans. Serv. Comput., 2022
IEEE/ACM Trans. Netw., 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning.
Trans. Mach. Learn. Res., 2022
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
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Hum. Mach. Syst., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
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
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
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL).
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
CoRR, 2022
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
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
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
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
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
IEEE Trans. Parallel Distributed Syst., 2021
IEEE/ACM Trans. Netw., 2021
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021
IEEE Trans. Netw. Serv. Manag., 2021
IEEE Trans. Netw. Serv. Manag., 2021
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
IEEE Trans. Cloud Comput., 2021
Pattern Recognit. Lett., 2021
J. Parallel Distributed Comput., 2021
Found. Trends Commun. Inf. Theory, 2021
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning.
Entropy, 2021
CoRR, 2021
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
CoRR, 2021
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
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021
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
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Algorithmic Learning Theory, 2021
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Netw. Serv. Manag., 2020
Tiered Spectrum Measurement Markets for Joint Licensed and Unlicensed Secondary Access.
IEEE Trans. Netw. Sci. Eng., 2020
IEEE Trans. Mob. Comput., 2020
IEEE Trans. Mob. Comput., 2020
IEEE Trans. Inf. Theory, 2020
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP.
IEEE Trans. Circuits Syst. Video Technol., 2020
Pattern Recognit., 2020
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures.
IEEE Open J. Comput. Soc., 2020
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
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
CoRR, 2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks.
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
Proceedings of the IEEE Information Theory Workshop, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
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
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
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
IEEE Trans. Veh. Technol., 2019
IEEE/ACM Trans. Netw., 2019
IEEE/ACM Trans. Netw., 2019
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019
IEEE Trans. Netw. Serv. Manag., 2019
IEEE Trans. Netw. Serv. Manag., 2019
DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2019
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor.
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
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
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
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.
CoRR, 2019
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent.
CoRR, 2019
CoRR, 2019
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
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
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
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Smart Grid, 2018
IEEE/ACM Trans. Netw., 2018
Video Streaming in Distributed Erasure-Coded Storage Systems: Stall Duration Analysis.
IEEE/ACM Trans. Netw., 2018
IEEE Trans. Green Commun. Netw., 2018
IEEE Trans. Green Commun. Netw., 2018
IEEE Trans. Cogn. Commun. Netw., 2018
IEEE Signal Process. Lett., 2018
Int. J. Prod. Res., 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
Optimal Linear Broadcast Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions.
CoRR, 2018
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
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Proceedings of the IEEE INFOCOM 2018, 2018
Proceedings of the IEEE INFOCOM 2018, 2018
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
Proceedings of the IEEE Global Communications Conference, 2018
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
IEEE Trans. Netw. Serv. Manag., 2017
Pattern Recognit. Lett., 2017
IET Commun., 2017
EURASIP J. Wirel. Commun. Netw., 2017
CoRR, 2017
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data.
CoRR, 2017
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
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
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
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
IEEE Trans. Wirel. Commun., 2016
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
IEEE Trans. Mob. Comput., 2016
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
CoRR, 2016
Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor.
CoRR, 2016
CoRR, 2016
Reliability of k-out-of-n Data Storage System with Deterministic Parallel and Serial Repair.
CoRR, 2016
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
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
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
IEEE J. Sel. Areas Commun., 2015
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
Proceedings of the IEEE International Symposium on Information Theory, 2015
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
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
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
IEEE Trans. Commun., 2014
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
Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
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
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
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
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
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
CoRR, 2012
Proceedings of the 2012 IEEE Information Theory Workshop, 2012
Proceedings of IEEE International Conference on Communications, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Forensics Secur., 2011
Effective Relaying in Two-user Interference Channel with Different Models of Channel Output Feedback
CoRR, 2011
Proceedings of the 2011 IEEE Vehicular Networking Conference, 2011
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
IEEE Trans. Inf. Theory, 2010
Sum capacity of general deterministic interference channel with channel output feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
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
EURASIP J. Wirel. Commun. Netw., 2009
Proceedings of the 17th International Conference on Multimedia 2009, 2009
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
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
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
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
IEEE Trans. Inf. Theory, 2008
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
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
Proceedings of the IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007