D. Zhou, D. Wei, S. Li, and M. Chen, "Optimization of Image Transmission with Channel and Content Preference Feedbacks in Cooperative Semantic Communication Networks," accepted by IEEE Transactions on Wireless Communications, 2026.
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.
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.
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},
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.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California