Researcher, Beijing University of Technology, China
🎓 Dr. Xiaoping Yang is a dedicated researcher in computer science with expertise in distributed systems, wired and wireless networking, machine learning systems, and the Internet of Things (IoT). She is currently pursuing her Ph.D. at the Beijing University of Technology, focusing on cutting-edge technologies like heuristic algorithms, deep reinforcement learning, 6G networking, and recommendation systems. With a strong academic foundation and extensive professional experience, Dr. Yang is making significant contributions to cloud-edge cooperation and intelligent offloading technologies. 🌐
Publication Profile
Education
📚 Dr. Yang holds a Ph.D. in Computer Science and Technology (2022–Present) from the Beijing University of Technology. She also earned an M.S. in Software Engineering (2017–2020) from the same university and a B.E. in Computer Science and Technology (2013–2017) from Hebei University of Architecture and Engineering. Her academic journey reflects her unwavering commitment to excellence. 🏅
Professional Experience
💻 Dr. Yang worked as a Software Engineer at ByteDance (TikTok) in 2022, where she contributed to developing data governance systems and performing in-depth data analysis. Prior to this, she served as a Software Engineer at Kuaishou Technology (2020–2022), focusing on data tracking, storage, cleansing, and analysis. Her industry expertise underscores her ability to bridge research and real-world applications. 🚀
Awards and Honors
🏆 Dr. Yang’s accolades include being recognized as an Outstanding Graduate at the Provincial Level (Hebei Province, 2017) and winning First and Second Prizes in the Hebei Provincial Competition of the 8th China Computer Design Contest. Additionally, she received an Academic Scholarship for the 2022 Academic Year during her Ph.D. studies at the Beijing University of Technology. 🌟
Research Focus
🔍 Dr. Yang’s research interests span distributed systems, heuristic algorithms, deep reinforcement learning, mobile edge computing, 6G networking, edge caching, and deep learning-based recommendation systems. Her innovative contributions, especially in cloud-edge cooperation networks, reflect her commitment to advancing next-generation technologies. 🤖
Conclusion
🌟 Dr. Xiaoping Yang is a passionate academic and professional, making meaningful strides in computer science research and applications. Her exceptional academic achievements, industry expertise, and focus on innovative solutions position her as a rising leader in the field. 🌐
Publications
Task Partition-Based Intelligent Offloading for Cache-Assisted Cloud-Edge Cooperation Networks. GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023. [Cited by: N/A]
Task partition-based computation offloading and content caching for cloud–edge cooperation networks. Symmetry 16.7 (2024): 906. [Cited by: N/A]
Intelligent Task Offloading for Caching-Assisted UAV Networks. 2024 5th Information Communication Technologies Conference (ICTC). IEEE, 2024. [Cited by: N/A]
DRL-Based Green Task Offloading for Content Distribution in NOMA-Enabled Cloud-Edge-End Cooperation Environments. ICC 2023-IEEE International Conference on Communications. IEEE, 2023. [Cited by: N/A]