Ruolin Zhou

Papers

Total Citations

143

H-Index

About

Dr. Ruolin Zhou is a leading researcher at the intersection of wireless communications and artificial intelligence, with a primary focus on deep learning for signal processing and cognitive radio networks. Her most impactful contribution is the seminal 2020 survey, "Deep Learning for Modulation Recognition: A Survey With a Demonstration," which has garnered over 143 citations. This comprehensive work systematically reviews deep learning architectures—from CNNs to RNNs—for automatic modulation classification, providing a critical benchmark for the field and demonstrating how DL can surpass traditional methods in identifying wireless signals. Beyond this landmark paper, Dr. Zhou's research advances intelligent spectrum sensing and resource allocation, aiming to create more adaptive and efficient wireless systems. Her work is highly influential among engineers and researchers developing next-generation communication technologies, including 5G and beyond, where AI-driven signal intelligence is paramount. By bridging the gap between theoretical deep learning models and practical wireless applications, Dr. Zhou is helping to shape a future where radios can autonomously learn and optimize their performance in complex, dynamic environments.