معرفی
Xuefeng Liu is a Professor affiliated with Huazhong University of Science and Technology (School of Electronic Information and Communications) and Beihang University (School of Computer Science and Engineering). He holds former positions at Hong Kong Polytechnic University and completed his PhD at the University of Bristol in 2008. His research focuses on federated learning, mobile edge computing, wireless sensor networks, and medical imaging. Liu has authored over 160 publications in top venues such as IEEE Transactions and ACM conferences.
Key research areas include improving federated learning efficiency, developing medical image analysis techniques using domain knowledge, and advancing mobile computing applications like driver safety systems. His work bridges theoretical machine learning advancements with practical implementations in healthcare, IoT, and edge computing environments.
Notable recent contributions include SITOff (task offloading in mobile edge computing) and MARVEL (manga vectorization via reinforcement learning). His research often addresses challenges in data privacy (e.g., differential privacy for consumer behavior protection) and network optimization (e.g., efficient WSN scheduling).
Publications span 2010-2025 with a strong focus on cross-domain learning, medical AI, and system-level optimizations. Collaborations frequently involve co-authors like Jianwei Niu and Shaojie Tang, emphasizing interdisciplinary approaches.