Yuanming Shi

Orcid: 0000-0002-1418-7465

Affiliations:
  • ShanghaiTech University, School of Information Science and Technology, Shanghai, China


According to our database1, Yuanming Shi authored at least 222 papers between 2012 and 2024.

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Bibliography

2024
Federated Learning With Massive Random Access.
IEEE Trans. Wirel. Commun., October, 2024

Satellite Federated Edge Learning: Architecture Design and Convergence Analysis.
IEEE Trans. Wirel. Commun., October, 2024

A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids.
IEEE Trans. Smart Grid, September, 2024

Collaborative Edge AI Inference Over Cloud-RAN.
IEEE Trans. Commun., September, 2024

Integrating Sensing, Communication, and Power Transfer: From Theory to Practice.
IEEE Commun. Mag., September, 2024

Adaptive Partitioning and Placement for Two-Layer Collaborative Caching in Mobile Edge Computing Networks.
IEEE Trans. Wirel. Commun., August, 2024

On Exploiting Network Topology for Hierarchical Coded Multi-Task Learning.
IEEE Trans. Commun., August, 2024

Online Optimization for Over-the-Air Federated Learning With Energy Harvesting.
IEEE Trans. Wirel. Commun., July, 2024

Over-the-Air Computation for 6G: Foundations, Technologies, and Applications.
IEEE Internet Things J., July, 2024

One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation.
IEEE Trans. Wirel. Commun., June, 2024

Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method.
IEEE Trans. Wirel. Commun., June, 2024

Features Disentangled Semantic Broadcast Communication Networks.
IEEE Trans. Wirel. Commun., June, 2024

Green Federated Learning Over Cloud-RAN With Limited Fronthaul Capacity and Quantized Neural Networks.
IEEE Trans. Wirel. Commun., May, 2024

Over-the-Air Federated Learning and Optimization.
IEEE Internet Things J., May, 2024

Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference.
IEEE Trans. Wirel. Commun., April, 2024

Federated Multi-Task Learning with Non-Stationary and Heterogeneous Data in Wireless Networks.
IEEE Trans. Wirel. Commun., April, 2024

Federated Learning via Unmanned Aerial Vehicle.
IEEE Trans. Wirel. Commun., April, 2024

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI.
IEEE Trans. Wirel. Commun., March, 2024

Task-Oriented Over-the-Air Computation for Multi-Device Edge AI.
IEEE Trans. Wirel. Commun., March, 2024

Federated Learning With Energy Harvesting Devices.
IEEE Trans. Green Commun. Netw., March, 2024

Vertical Federated Learning Over Cloud-RAN: Convergence Analysis and System Optimization.
IEEE Trans. Wirel. Commun., February, 2024

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
IEEE Internet Things J., February, 2024

Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates.
IEEE Internet Things J., January, 2024

Integrated Sensing-Communication-Computation for Edge Artificial Intelligence.
IEEE Internet Things Mag., 2024

Hierarchical Learning and Computing over Space-Ground Integrated Networks.
CoRR, 2024

A Survey on Integrated Sensing, Communication, and Computation.
CoRR, 2024

Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks.
CoRR, 2024

Task-oriented Over-the-air Computation for Edge-device Co-inference with Balanced Classification Accuracy.
CoRR, 2024

Latency-Aware Microservice Deployment for Edge AI Enabled Video Analytics.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

RIS-Assisted Multi-Device Edge AI Inference.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Delay Minimization for NOMA-Assisted Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Decentralized Satellite Federated Learning via Intra- and Inter-Orbit Communications.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Over-the-Air Computation Assisted Federated Learning with Progressive Training.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Task-Oriented Explainable Semantic Communications.
IEEE Trans. Wirel. Commun., December, 2023

Toward Scalable Wireless Federated Learning: Challenges and Solutions.
IEEE Internet Things Mag., December, 2023

POBO: Safe and optimal resource management for cloud microservices.
Perform. Evaluation, November, 2023

A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning.
IEEE Trans. Wirel. Commun., September, 2023

Robust Information Bottleneck for Task-Oriented Communication With Digital Modulation.
IEEE J. Sel. Areas Commun., August, 2023

UAV-Assisted Multi-Cluster Over-the-Air Computation.
IEEE Trans. Wirel. Commun., July, 2023

Communication-Efficient Coded Computing for Distributed Multi-Task Learning.
IEEE Trans. Commun., July, 2023

Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks With User Admission Control.
IEEE Trans. Commun., July, 2023

Task-Oriented Communications for 6G: Vision, Principles, and Technologies.
IEEE Wirel. Commun., June, 2023

Online Client Selection for Asynchronous Federated Learning With Fairness Consideration.
IEEE Trans. Wirel. Commun., April, 2023

Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems.
IEEE J. Sel. Areas Commun., April, 2023

Multi-Agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks.
IEEE Trans. Wirel. Commun., March, 2023

Trustworthy Federated Learning via Blockchain.
IEEE Internet Things J., 2023

Integrating Sensing, Communication, and Power Transfer: From Theory to Practice.
CoRR, 2023

Towards Scalable Wireless Federated Learning: Challenges and Solutions.
CoRR, 2023

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
CoRR, 2023

Machine Learning for Large-Scale Optimization in 6G Wireless Networks.
IEEE Commun. Surv. Tutorials, 2023

Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Task-Oriented Over-the-Air Computation for Multi-Device Edge Split Inference.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Reconfigurable Intelligent Surface Empowered Rate-Splitting Multiple Access for Simultaneous Wireless Information and Power Transfer.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

STAR-RIS Empowered Full Duplex Cooperative Rate Splitting.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Communication-Efficient Vertically Split Inference via Over-the-Air Computation.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Green Federated Learning over Cloud-RAN with Limited Fronthaul and Quantized Neural Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

Content-Adaptive Cache Partitioning for Two-Layer Mobile Edge Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

STAR-RIS Assisted Over-the-Air Vertical Federated Learning in Multi-Cell Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Decentralized Over-the-Air Computation for Edge AI Inference with Integrated Sensing and Communication.
Proceedings of the IEEE Global Communications Conference, 2023

Multi-Task-Oriented Broadcast for Edge AI Inference via Information Bottleneck.
Proceedings of the IEEE Global Communications Conference, 2023

Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Federated Linear Bandit Learning via Over-the-air Computation.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Over-the-Air Federated Learning via Second-Order Optimization.
IEEE Trans. Wirel. Commun., 2022

Federated Learning via Intelligent Reflecting Surface.
IEEE Trans. Wirel. Commun., 2022

Algorithm Unrolling for Massive Access via Deep Neural Networks With Theoretical Guarantee.
IEEE Trans. Wirel. Commun., 2022

Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection.
IEEE Trans. Wirel. Commun., 2022

UAV Aided Over-the-Air Computation.
IEEE Trans. Wirel. Commun., 2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning.
IEEE Trans. Signal Process., 2022

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization.
IEEE Trans. Smart Grid, 2022

Decentralized Multi-Agent Power Control in Wireless Networks With Frequency Reuse.
IEEE Trans. Commun., 2022

Sparse and Low-Rank Optimization for Pliable Index Coding via Alternating Projection.
IEEE Trans. Commun., 2022

A Proximal Iteratively Reweighted Approach for Efficient Network Sparsification.
IEEE Trans. Computers, 2022

Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks.
IEEE J. Sel. Areas Commun., 2022

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications.
IEEE J. Sel. Areas Commun., 2022

Differentially Private Federated Learning via Reconfigurable Intelligent Surface.
IEEE Internet Things J., 2022

Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach.
IEEE Internet Things J., 2022

Over-the-Air Computation: Foundations, Technologies, and Applications.
CoRR, 2022

Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks.
CoRR, 2022

RIS-Assisted Over-the-Air Computation in Millimeter Wave Communication Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Beamforming Design for Integrated Sensing and SWIPT System.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Reconfigurable Intelligent Surface Assisted Over-the-Air Computation in Multi-Cell Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy.
Proceedings of the 11th International Conference on Control, 2022

Federated Multi-Task Learning with Non-Stationary Heterogeneous Data.
Proceedings of the IEEE International Conference on Communications, 2022

Over-the-Air Computation for Vertical Federated Learning.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Robust Wirtinger Flow Algorithm for Channel Coded Blind Demixing.
Proceedings of the IEEE International Conference on Communications, 2022

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Federated Learning over LEO Satellite.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Communication-Efficient Device Scheduling via Over-the-Air Computation for Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities.
IEEE Wirel. Commun., 2021

Large-Scale Beamforming for Massive MIMO via Randomized Sketching.
IEEE Trans. Veh. Technol., 2021

Reconfigurable Intelligent Surface for Massive Connectivity: Joint Activity Detection and Channel Estimation.
IEEE Trans. Signal Process., 2021

Reconfigurable Intelligent Surface for Green Edge Inference.
IEEE Trans. Green Commun. Netw., 2021

Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access.
IEEE Trans. Commun., 2021

Over-the-Air Computation via Reconfigurable Intelligent Surface.
IEEE Trans. Commun., 2021

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis.
IEEE J. Sel. Areas Commun., 2021

Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory.
IEEE J. Sel. Areas Commun., 2021

Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods.
J. Glob. Optim., 2021

Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks.
IEEE Internet Things J., 2021

Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee.
CoRR, 2021

Reconfigurable Intelligent Surface for Massive Connectivity.
CoRR, 2021

Robust Design for Reconfigurable Intelligent Surface Assisted Over-the-Air Computation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Optimal Receive Beamforming for Over-the-Air Computation.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Over-the-Air Decentralized Federated Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Communication-Efficient Quantized SGD for Learning Polynomial Neural Network.
Proceedings of the IEEE International Performance, 2021

Multiuser Downlink Beamforming for URLLC in the Short Blocklength Regime.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Reconfigurable Intelligent Surface Assisted Federated Learning with Privacy Guarantee.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Saddle Point Approximation Based Delay Analysis for Wireless Federated Learning.
Proceedings of the ICC 2021, 2021

Over-the-Air Computation via Cloud Radio Access Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Fast Convergence Algorithm for Analog Federated Learning.
Proceedings of the ICC 2021, 2021

Joint Admission Control and Beamforming for Intelligent Reflecting Surface Aided Wireless Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

UAV-Assisted Over-the-Air Computation.
Proceedings of the ICC 2021, 2021

Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Learning Proximal Operator Methods for Massive Connectivity in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Capacity Region of Intelligent Reflecting Surface Aided Wireless Networks via Active Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Double-RIS Assisted Over-the-Air Computation.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Interference Management for Over-the-Air Computation and Cellular Coexistence Systems.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
Distributed Optimization for Massive Connectivity.
IEEE Wirel. Commun. Lett., 2020

Federated Learning via Over-the-Air Computation.
IEEE Trans. Wirel. Commun., 2020

LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples.
IEEE Trans. Wirel. Commun., 2020

Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow.
IEEE Trans. Signal Process., 2020

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization.
ACM Trans. Knowl. Discov. Data, 2020

An Algebraic-Geometric Approach for Linear Regression Without Correspondences.
IEEE Trans. Inf. Theory, 2020

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface.
IEEE Netw., 2020

Sparse Optimization for Green Edge AI Inference.
J. Commun. Inf. Networks, 2020

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference.
IEEE Internet Things J., 2020

Communication-Efficient Edge AI Inference Over Wireless Networks.
CoRR, 2020

Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach.
CoRR, 2020

Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities.
CoRR, 2020

Communication-Efficient Edge AI: Algorithms and Systems.
IEEE Commun. Surv. Tutorials, 2020

Towards Reconfigurable Intelligent Surfaces Powered Green Wireless Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Wirelessly Powered Data Aggregation via Intelligent Reflecting Surface Assisted Over-the-Air Computation.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Multigroup Multicast Transmission via Intelligent Reflecting Surface.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Noisy Demixing: Convex Relaxation Meets Nonconvex Optimization.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Reconfigurable Intelligent Surface Enhanced Cognitive Radio Networks.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Phase Retrieval via Difference of Convex Programming.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Reconfigurable Intelligent Surface Assisted Non-Orthogonal Unicast and Broadcast Transmission.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Sparse Signal Processing for Massive Device Connectivity via Deep Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Bandit Sampling for Faster Activity and Data Detection in Massive Random Access.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Age of Aggregated Information: Timely Status Update with Over-the-Air Computation.
Proceedings of the IEEE Global Communications Conference, 2020

Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks.
IEEE Trans. Wirel. Commun., 2019

Blind Demixing for Low-Latency Communication.
IEEE Trans. Wirel. Commun., 2019

Flexible Functional Split Design for Downlink C-RAN With Capacity-Constrained Fronthaul.
IEEE Trans. Veh. Technol., 2019

Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization.
IEEE Trans. Signal Process., 2019

Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff.
IEEE Internet Things J., 2019

Reconfigurable Intelligent Surface for Green Edge Inference.
CoRR, 2019

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.
CoRR, 2019

Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access.
CoRR, 2019

Large-Scale Beamforming for Massive MIMO via Randomized Sketching.
CoRR, 2019

The Roadmap to 6G: AI Empowered Wireless Networks.
IEEE Commun. Mag., 2019

Comparing large-scale graphs based on quantum probability theory.
Appl. Math. Comput., 2019

Deep Learning Tasks Processing in Fog-RAN.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

On-Device Federated Learning via Second-Order Optimization with Over-the-Air Computation.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Blind Deconvolution Meets Phase Retrieval in Optical Wireless Communications.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Sparse Blind Demixing for Low-Latency Wireless Random Access with Massive Connectivity.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Stochastic Submodular Maximization for Scalable Network Adaptation in Dense Cloud-RAN.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Federated Learning Based on Over-the-Air Computation.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Learning Shallow Neural Networks via Provable Gradient Descent with Random Initialization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Algebraically-initialized Expectation Maximization for Header-free Communication.
Proceedings of the IEEE International Conference on Acoustics, 2019

Layer-wise Deep Neural Network Pruning via Iteratively Reweighted Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Pliable Data Shuffling for On-device Distributed Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Blind Demixing for Low-latency Signal Recovery in Massive Iot Connectivity.
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning to Branch-and-Bound for Header-Free Communications.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

A Graph Neural Network Approach for Scalable Wireless Power Control.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Reconfigurable Intelligent Surface for Green Edge Inference in Machine Learning.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Randomized Sketching Based Beamforming for Massive MIMO.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Over-the-Air Computation via Intelligent Reflecting Surfaces.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Blind Demixing via Wirtinger Flow with Random Initialization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Enhanced Group Sparse Beamforming for Green Cloud-RAN: A Random Matrix Approach.
IEEE Trans. Wirel. Commun., 2018

Massive CSI Acquisition for Dense Cloud-RANs With Spatial-Temporal Dynamics.
IEEE Trans. Wirel. Commun., 2018

Nonconvex Demixing From Bilinear Measurements.
IEEE Trans. Signal Process., 2018

LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples.
CoRR, 2018

Fast Computing von Neumann Entropy for Large-scale Graphs via Quadratic Approximations.
CoRR, 2018

Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods.
CoRR, 2018

An Algebraic-Geometric Approach to Shuffled Linear Regression.
CoRR, 2018

Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks.
IEEE Commun. Mag., 2018

$L_{2}$-Box Optimization for Green Cloud-RAN via Network Adaptation.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Generalized Low-Rank Matrix Completion via Nonconvex Schatten $p$-Norm Minimization.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Phase Transitions of Massive Device Connectivity via Convex Geometry.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Topological Interference Alignment via Generalized Low-Rank Optimization with Sequential Convex Approximations.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Permuted Linear Model for Header-Free Communication via Symmetric Polynomials.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Comparing Massive Networks via Moment Matrices.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Sparse and Low-Rank Optimization for Pliable Index Coding.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Randomized Method for Estimating the Von Neumann Entropy of Large-Scale Density Matrices.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Topological Interference Management With User Admission Control via Riemannian Optimization.
IEEE Trans. Wirel. Commun., 2017

Layered Group Sparse Beamforming for Cache-Enabled Green Wireless Networks.
IEEE Trans. Commun., 2017

A Sparse and Low-Rank Optimization Framework for Network Topology Control in Dense Fog-RAN.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Massive CSI acquisition in dense cloud-RAN with spatial and temporal prior information.
Proceedings of the IEEE International Conference on Communications, 2017

Generalized matrix completion for low complexity transceiver processing in cache-aided Fog-RAN via the Burer-Monteiro approach.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Low-Rank Matrix Completion for Topological Interference Management by Riemannian Pursuit.
IEEE Trans. Wirel. Commun., 2016

Smoothed L<sub>p</sub>-Minimization for Green Cloud-RAN With User Admission Control.
IEEE J. Sel. Areas Commun., 2016

Topological Interference Management with User Admission Control via Riemannian Optimization.
CoRR, 2016

A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization.
CoRR, 2016

Statistical group sparse beamforming for green Cloud-RAN via large system analysis.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Computation offloading in cloud-RAN based mobile cloud computing system.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Low-Rank Matrix Completion for Mobile Edge Caching in Fog-RAN via Riemannian Optimization.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

A low-rank approach for interference management in dense wireless networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Large-scale convex optimization for ultra-dense cloud-RAN.
IEEE Wirel. Commun., 2015

Large-Scale Convex Optimization for Dense Wireless Cooperative Networks.
IEEE Trans. Signal Process., 2015

Robust Group Sparse Beamforming for Multicast Green Cloud-RAN With Imperfect CSI.
IEEE Trans. Signal Process., 2015

Optimal Stochastic Coordinated Beamforming for Wireless Cooperative Networks With CSI Uncertainty.
IEEE Trans. Signal Process., 2015

Smoothed Lp-Minimization for Green Cloud-RAN with User Admission Control.
CoRR, 2015

Low-rank matrix completion via Riemannian pursuit for topological interference management.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Group sparse beamforming for multicast green Cloud-RAN via parallel semidefinite programming.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Group Sparse Beamforming for Green Cloud-RAN.
IEEE Trans. Wirel. Commun., 2014

CSI overhead reduction with stochastic beamforming for cloud radio access networks.
Proceedings of the IEEE International Conference on Communications, 2014

Scalable coordinated beamforming for dense wireless cooperative networks.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Optimal Stochastic Coordinated Beamforming with Compressive CSI Acquisition for Cloud-RAN.
CoRR, 2013

2012
Coordinated relay beamforming for amplify-and-forward two-hop interference networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012


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