Cong Shen

Orcid: 0000-0002-3148-4453

Affiliations:
  • University of Virginia, Charles L. Brown Department of Electrical and Computer Engineering, Charlottesville, VA, USA
  • University of Science and Technology of China, Department of Electronic Engineering and Information Science, Department of Electronic Engineering and Information Science, Hefei, China
  • Qualcomm Research, San Diego, CA, USA (former)
  • University of California Los Angeles, UCLA, Electrical Engineering Department, CA, USA


According to our database1, Cong Shen authored at least 116 papers between 2007 and 2024.

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Bibliography

2024
Random Orthogonalization for Federated Learning in Massive MIMO Systems.
IEEE Trans. Wirel. Commun., March, 2024

Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things.
IEEE Internet Things J., January, 2024

Best Arm Identification for Prompt Learning under a Limited Budget.
CoRR, 2024

2023
Performance Optimization for Noise Interference Privacy Protection in Federated Learning.
IEEE Trans. Cogn. Commun. Netw., October, 2023

On the Convergence of Hybrid Server-Clients Collaborative Training.
IEEE J. Sel. Areas Commun., March, 2023

Reward Teaching for Federated Multiarmed Bandits.
IEEE Trans. Signal Process., 2023

Harnessing the Power of Federated Learning in Federated Contextual Bandits.
CoRR, 2023

Advancing RAN Slicing with Offline Reinforcement Learning.
CoRR, 2023

Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets.
CoRR, 2023

Differentially Private Wireless Federated Learning Using Orthogonal Sequences.
CoRR, 2023

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning.
CoRR, 2023

Accelerating Hybrid Federated Learning Convergence under Partial Participation.
CoRR, 2023

Federated Linear Bandits with Finite Adversarial Actions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The 9th SIGKDD International Workshop on Mining and Learning from Time Series.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reward Teaching for Federated Multi-armed Bandits.
Proceedings of the IEEE International Symposium on Information Theory, 2023

On High-dimensional and Low-rank Tensor Bandits.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Exploiting Feature Heterogeneity for Improved Generalization in Federated Multi-task Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources.
Proceedings of the International Conference on Machine Learning, 2023

Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints.
Proceedings of the International Conference on Machine Learning, 2023

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences.
Proceedings of the IEEE International Conference on Communications, 2023

Communication and Storage Efficient Federated Split Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Teaching Reinforcement Learning Agents via Reinforcement Learning.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Federated Learning via Indirect Server-Client Communications.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022
Tx-Rx Reciprocity Calibration for Hybrid Massive MIMO Systems.
IEEE Wirel. Commun. Lett., 2022

On Top-k Selection From m-Wise Partial Rankings via Borda Counting.
IEEE Trans. Signal Process., 2022

Joint Optimal Quantization and Aggregation of Federated Learning Scheme in VANETs.
IEEE Trans. Intell. Transp. Syst., 2022

Federated Learning Over Noisy Channels: Convergence Analysis and Design Examples.
IEEE Trans. Cogn. Commun. Netw., 2022

MARS: Assisting Human with Information Processing Tasks Using Machine Learning.
ACM Trans. Comput. Heal., 2022

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Optimizing Federated Averaging over Fading Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Cascading Bandits with Two-Level Feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Learning for Robust Combinatorial Optimization: Algorithm and Application.
Proceedings of the IEEE INFOCOM 2022, 2022

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games.
Proceedings of the International Conference on Machine Learning, 2022

On Federated Learning with Energy Harvesting Clients.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Dynamic Aggregation for Heterogeneous Quantization in Federated Learning.
IEEE Trans. Wirel. Commun., 2021

Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions.
IEEE Trans. Signal Process., 2021

Collaborative Service Placement for Edge Computing in Dense Small Cell Networks.
IEEE Trans. Mob. Comput., 2021

On No-Sensing Adversarial Multi-Player Multi-Armed Bandits With Collision Communications.
IEEE J. Sel. Areas Inf. Theory, 2021

Design and Analysis of Uplink and Downlink Communications for Federated Learning.
IEEE J. Sel. Areas Commun., 2021

Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges.
IEEE Commun. Mag., 2021

(Almost) Free Incentivized Exploration from Decentralized Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Linear Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Federated Learning over Noisy Channels.
Proceedings of the ICC 2021, 2021

On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control.
Proceedings of the ICC 2021, 2021

A Machine Learning Approach for Rate Prediction in Multicast File-stream Distribution Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Federated Multi-armed Bandits with Personalization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Federated Multi-Armed Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Improved Low-Resolution Quantized SIMO Estimation via Deep Learning.
IEEE Wirel. Commun. Lett., 2020

Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching.
IEEE Trans. Wirel. Commun., 2020

Cost-Aware Cascading Bandits.
IEEE Trans. Signal Process., 2020

Towards Optimal Power Control via Ensembling Deep Neural Networks.
IEEE Trans. Commun., 2020

On Scheduling Policies With Heavy-Tailed Dynamics in Wireless Queueing Systems.
IEEE Access, 2020

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Federated Learning with Heterogeneous Quantization.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints.
Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Linear Contextual Bandits with Diverse Contexts.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Decentralized Multi-player Multi-armed Bandits with No Collision Information.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Contextual Constrained Learning for Dose-Finding Clinical Trials.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Thresholded Wirtinger Flow for Fast Millimeter Wave Beam Alignment.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
A Non-Stationary Online Learning Approach to Mobility Management.
IEEE Trans. Wirel. Commun., 2019

Universal Best Arm Identification.
IEEE Trans. Signal Process., 2019

Cost-Aware Learning and Optimization for Opportunistic Spectrum Access.
IEEE Trans. Cogn. Commun. Netw., 2019

A Regression Approach to Certain Information Transmission Problems.
IEEE J. Sel. Areas Commun., 2019

A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Online Learning with Diverse User Preferences.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Power Control for Interference Management via Ensembling Deep Neural Networks.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication.
IEEE Trans. Wirel. Commun., 2018

Regional Multi-Armed Bandits With Partial Informativeness.
IEEE Trans. Signal Process., 2018

Generalized Global Bandit and Its Application in Cellular Coverage Optimization.
IEEE J. Sel. Top. Signal Process., 2018

An Iterative BP-CNN Architecture for Channel Decoding.
IEEE J. Sel. Top. Signal Process., 2018

Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point.
Entropy, 2018

New results on multilevel diversity coding with secure regeneration.
Sci. China Inf. Sci., 2018

Downlink Multi-User MIMO Precoding Design Via Signal-Over-Leakage Capacity.
IEEE Access, 2018

A Non-Stationary Online Learning Approach to Mobility Management.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Small Cell Power Assignment with Unimodal Continuum-Armed Bandit Learning.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

Exploiting Noise Correlation for Channel Decoding with Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

How to Interconnect for Massive Mimo Self-Calibration?
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sparse Spectrum Reuse in HetNets with Relays.
Proceedings of the IEEE Global Communications Conference, 2018

Opportunistic Spectrum Access via Good Arm Identification.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Regional Multi-Armed Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning.
IEEE Trans. Signal Process., 2017

On the Tradeoff Region of Secure Exact-Repair Regenerating Codes.
IEEE Trans. Inf. Theory, 2017

Small Cell Transmit Power Assignment Based on Correlated Bandit Learning.
IEEE J. Sel. Areas Commun., 2017

On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control.
CoRR, 2017

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.
CoRR, 2017

A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Aligning DL paths for scalable CSI feedback in FDD massive MIMO.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

DL CSI acquisition and feedback in FDD massive MIMO via path aligning.
Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017

Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning.
Proceedings of the IEEE International Conference on Communications, 2017

2016
A Non-Stochastic Learning Approach to Energy Efficient Mobility Management.
IEEE J. Sel. Areas Commun., 2016

Less is More: Participation Incentives in D2D-enhanced Mobile Edge Computing under Infectious DDoS Attacks.
CoRR, 2016

DARC: Timely Classification with Randomly Delayed Features.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks.
IEEE J. Sel. Areas Commun., 2015

2014
Silence is gold: Strategic small cell interference management using tokens.
Proceedings of the IEEE Global Communications Conference, 2014

2011
Hybrid ARQ in Multiple-Antenna Slow Fading Channels: Performance Limits and Optimal Linear Dispersion Code Design.
IEEE Trans. Inf. Theory, 2011

Opportunistic Spatial Orthogonalization and Its Application in Fading Cognitive Radio Networks.
IEEE J. Sel. Top. Signal Process., 2011

2009
On the average rate performance of hybrid-ARQ in quasi-static fading channels.
IEEE Trans. Commun., 2009

Dynamic spatial spectrum access with opportunistic orthogonalization.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

2008
Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels.
IEEE Trans. Wirel. Commun., 2008

MIMO-OFDM Beamforming for Improved Channel Estimation.
IEEE J. Sel. Areas Commun., 2008

A utility maximization approach to the design of unequal error protection with multilevel codes.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Aggressive Transmission with ARQ in Quasi-Static Fading Channels.
Proceedings of IEEE International Conference on Communications, 2008

On the Design of Modern Multilevel Coded Modulation for Unequal Error Protection.
Proceedings of IEEE International Conference on Communications, 2008

Hybrid ARQ schemes in multiple-antenna slow fading channels: A capacity perspective.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Generalized Soft-Output Layered Orthogonal Lattice Detector for Golden Code.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Optimal Resource Allocation in Wireless Multiaccess Video Transmissions.
Proceedings of IEEE International Conference on Communications, 2007


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