activity
20172022
most citedA Deep Reinforcement Learning-Based Framework for Content Caching

12 citations · 46 across the 13 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.IT2021★ 6 cited

Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning

Ziyang Lu, Chen Zhong, M. Cenk Gursoy

Due to the scarcity in the wireless spectrum and limited energy resources especially in mobile applications, efficient resource allocation strategies are critical in wireless netwo…

eess.SY2021

A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks

Rui Ma, Sara Eftekharnejad, Chen Zhong +1

Online transient stability assessment (TSA) is essential for secure and stable power system operations. The growing number of Phasor Measurement Units (PMUs) brings about massive s…

cs.LG2021★ 2 cited

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2

We address the problem of sequentially selecting and observing processes from a given set to find the anomalies among them. The decision-maker observes a subset of the processes at…

eess.SP2021

Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels

Chenxi Zhong, Huiyuan Yang, Xiaojun Yuan

With the explosive growth of data and wireless devices, federated learning (FL) over wireless medium has emerged as a promising technology for large-scale distributed intelligent s…

cs.LG2021

Anomaly Detection via Controlled Sensing and Deep Active Inference

Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2

In this paper, we address the anomaly detection problem where the objective is to find the anomalous processes among a given set of processes. To this end, the decision-making agen…