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Feng Ye

Assistant Professor

University of Wisconsin-Madison

United States

Research Interests

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About

Feng Ye is an Assistant Professor at the University of Wisconsin–Madison, United States. His research focuses on deep learning applications in wireless systems, network traffic classification, and edge computing. Recent publications include works on channel estimation for MIMO systems, QoS-aware rate-splitting, and optimal task assignments in integrated cloud and edge networks.

Articles (15)

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2026

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2020

Collaborators (2)

Haijian Sun

Assistant Professor

University of Georgia

UNITED STATES

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Jielun Zhang

Assistant Professor

North Dakota State University

UNITED STATES

View details

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Feng Ye

Research Interests

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Articles (15)

Scanning the Literature For October 2026 Issue

Scanning the Literature

Scanning the Literature For March 2026 Issue

Radio Radiance Field: The New Frontier of Spatial Wireless Channel Representation

Deep Learning Supported Path Prediction and Channel Estimation for MIMO-OTFS System With High Delay Resolution

Model-based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems

MuJam-RIS: A DRL Approach for Selective Multi-User Jamming Powered by RIS and Spatial-CSI

Sustaining the High Performance of AI-Based Network Traffic Classification Models

Optimal DNN Inference Delay Minimization for Chain-structured Roadside Edge Networks

Towards Optimal Application Offloading in Heterogeneous Edge-Cloud Computing

Adaptive and Lightweight Network Traffic Classification for Edge Devices

Autonomous Wireless Technology Detection in Seamless IoT Applications

ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway

Optimal Task Assignment for Integrated Cloud and Edge Networks With Tree Topology

EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid

Collaborators (2)

Haijian Sun

Jielun Zhang

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