Dr. Yuanqiang Sun | Communication Technology | Research Excellence Award

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Dr. Yuanqiang Sun | Communication Technology | Research Excellence Award

National University of Defense Technology | China

Yuanqiang Sun is a doctoral researcher specializing in UAV wireless communications, electromagnetic spectrum monitoring, and intelligent decision-making using reinforcement learning and game theory. His research addresses key limitations of UAV-based sensing systems by proposing distributed heterogeneous multi-agent deep reinforcement learning frameworks for high-precision, wide-area UHF radiation source localization. His work demonstrates strong performance improvements in localization accuracy, robustness, and communication efficiency, contributing to advances in adaptive spectrum monitoring and autonomous aerial networks. His scholarly output includes peer-reviewed journal publications indexed in Scopus and Google Scholar, with growing citation counts, documented research contributions, and an emerging h-index reflecting increasing academic impact and research excellence potential.


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Featured Publications

Dr. Xiaofeng Liu | Wireless Communication | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Xiaofeng Liu | Wireless Communication | Best Researcher Award

Dr. Xiaofeng Liu | Lecture | Yancheng Teachers University | China

Dr. Xiaofeng Liu is a dedicated researcher and lecturer in Artificial Intelligence with a strong background in wireless communications, machine learning, and statistical inference. His research primarily focuses on developing advanced algorithms for massive MIMO systems, channel estimation, and machine learning-driven communication models. Dr. Liu has significantly contributed to the integration of statistical learning frameworks in communication system design, particularly through innovations like correlated hybrid message passing and generative diffusion models for channel estimation. His collaborative work with experts from leading research laboratories has produced high-impact publications in IEEE journals, reflecting both theoretical advancement and practical application in intelligent communication systems. His inventive contributions are further evident in several granted Chinese invention patents related to MIMO positioning, channel modeling, and beamspace communications. Dr. Liu’s research achievements are widely recognized, with his publications indexed in Scopus and Google Scholar, accumulating over 135 citations, an h-index of 6, and an i10-index of 5. His scholarly record demonstrates consistent contributions to next-generation wireless communication technologies, bridging the gap between deep learning models and complex signal processing challenges.

Publication Profile

Google Scholar | ORCID

Featured Publications 

Liu, X., Gong, X., & Fu, X. (2025). Activity detection and channel estimation based on correlated hybrid message passing for grant-free massive random access. Entropy.

Fu, X., Gong, X., Liu, X., Sun, R., Shen, Q., & Gao, X. (2025). Beamspace multi-ACB for mMTC in massive MIMO system. IEEE Transactions on Vehicular Technology.

Gong, X., Liu, X., Lu, A. A., Gao, X., Xia, X. G., Wang, C. X., & You, X. (2025). Digital twin of channel: Diffusion model for sensing-assisted statistical channel state information generation. IEEE Transactions on Wireless Communications.

Gong, X., Lu, A. A., Fu, X., Liu, X., Gao, X., & Xia, X. G. (2023). Semisupervised representation contrastive learning for massive MIMO fingerprint positioning. IEEE Internet of Things Journal.

Liu, X., Wang, W., Gong, X., Fu, X., Gao, X., & Xia, X. G. (2023). Structured hybrid message passing based channel estimation for massive MIMO-OFDM systems. IEEE Transactions on Vehicular Technology.