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Defeng Zhou
Ph.D. student at the University of Miami working on semantic communications, machine learning, and autonomous systems.
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Progressive network based on detail scaling and texture extraction: A more general framework for image deraining
Published in Neurocomputing, 2023
Recommended citation: Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen, Progressive network based on detail scaling and texture extraction: A more general framework for image deraining,Neurocomputing, Volume 568, 2024, 127066, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2023.127066.
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Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers
Published in 2024 International Wireless Communications and Mobile Computing (IWCMC), 2024
Recommended citation: D. Zhou, S. Gong, L. Li, B. Gu and M. Guizani, "Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers," 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 1236-1241, doi: 10.1109/IWCMC61514.2024.10592541. keywords: {NOMA;Array signal processing;Simulation;Noise;Information leakage;Deep reinforcement learning;Scheduling;Secure transmission;IRS-assisted wireless network;NOMA;deep reinforcement learning},
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Learning Adaptive Jamming and Beamforming for Hybrid IRS-assisted Secure NOMA Transmissions
Published in IEEE Transactions on Communications, 2025
Semantic Communication Performance Optimization with Channel and Content Preference Feedbacks
Published in IEEE International Conference on Communications (ICC), 2026
Recommended citation: D. Zhou, D. Wei, Y. Hu, S. Li, and M. Chen, "Semantic Communication Performance Optimization with Channel and Content Preference Feedbacks," ICC 2026 - IEEE International Conference on Communications, 2026, pp. 1-6.
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Device Assignment and Model Splitting Optimization for Resilient and Secure Multi-hop Split Learning
Published in IEEE Transactions on Wireless Communications, 2026
Recommended citation: D. Wei, D. Zhou, Y. Liu, and M. Chen, "Device Assignment and Model Splitting Optimization for Resilient and Secure Multi-hop Split Learning," IEEE Transactions on Wireless Communications, 2026.
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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