I am currently in my third year persuing a Master’s degree in Central South University (CSU) under the supervision of Prof. Anfeng Liu. Now I aspire to continue my academic journey by pursuing a doctoral degree. Before that, I received my B.Eng. degree from CSU in 2021.
My research interest includes but not limited to Edge AI, Resource management, Blockchain, Fintech and AI+healthcare.
📖 Educations
- 2021.09 - 2024.06 (now), M.E., Central South University (CSU), Changsha, China (Supervisor: Prof. Anfeng Liu).
- 2017.09 - 2021.06, B.E., Central South University (CSU), Changsha, China.
🔥 News
- 2023.11: 🎉🎉 Grateful for Xiaomi Scholarship in CSU (top 10 among undergraduates and graduates).
- 2023.10: 🎉🎉 Awarded National Scholarship, China’s highest academic honor (Top 1%).
- 2023.09: 🎉🎉 Awarded First-Class Academic Scholarship.
- 2023.09: 🎉🎉 One paper has been accepted by Future Generation Computer Systems (FGCS).
- 2023.08: 🎉🎉 Successfully completed my summer internship at WeBank.
- 2023.06: 🎉🎉 One paper has been accepted by Digital Communications and Networks (DCAN).
- 2023.06: 🎉🎉 Granted approval for the Graduate Innovation Project issued by the Hunan Provincial Department of Education.
📝 Publications
Luying Wang, Anfeng Liu, Neal N. Xiong, Shaobo Zhang, Tian Wang, Mianxiong Dong
Future Generation Computer Systems (FGCS, JCR-Q1/中科院1区/IF=7.5)
- A scheme that supports dynamically updated and distributed deployment of cloud-edge-end resources is designed, formulating an efficient microservice deployment system for multilayer edge networks.
- Technical approaches such as Reinforcement Learning-based Proximal Policy Optimization (PPO) are utilized to significantly improve the time efficiency and resource utilization of service deployment.
An Intelligent Active Probing and Trace-back Scheme for IoT Anomaly Detection
Luying Wang, Lingyi Chen, Neal N. Xiong, Anfeng Liu, Tian Wang et al.
Digital Communications and Networks (DCAN, JCR-Q1/IF=7.9)
- A novel anomaly detection and trusted sensing scheme for IoT terminals has been developed, which supports the whole process of data collection, active detection, trace-back and trust evaluation.
- Unsupervised anomaly data detection, achieved by aggregating nodes and recruiting various types of trusted mobile edge users, has notably decreased the time and recruitment expenses associated with anomaly detection tasks in IoT networks.
Patents
-
A Hybrid Approach for Black Hole Nodes Detection (一种自组织传感网络中基于主动探测与回溯相结合的黑洞节点探测方法),
Luying Wang, Anfeng Liu,
Application Number: 2022109254243, Application Date: 2022-08-03, Public Date: 2022-11-04. -
A Multi-Layer Service Optimization Deployment Method (一种基于云-边计算网络中的多层服务优化部署方法),
Luying Wang, Anfeng Liu,
Application Number: 2022116293149, Application Date: 2022-12-19, Public Date: 2023-04-11.
🎖 Honors and Awards
- 2023.10 National Scholarship.
- 2023.09 First-Class Academic Scholarship.
- 2023.06 The Graduate Innovation Project issued by the Hunan Provincial Department of Education.
- 2021.06 Outstanding Graduate.
- 2019.12 Excellent Student Leader.
- 2019.01 Excellent Student.
- 2019.05 Students’ Innovation and Entrepreneurship Project.
- 2018.12 National Encouragement Scholarship.
💻 Internships
- 2023.09, HUAWEI, China.
- 2023.06 - 2023.08, WeBank, China.
🧙 Others
- I also like music and sports. In my spare time, I like to listen to all types of music, especially rock and country music, because I feel especially energetic and active while listening to music!
- I insist on going for a run or the gym every day, which is essential to relax my eyes and lift my spirits because I’ve always believed that the body is the capital of the revolution!
- In addition, I like to try all kinds of new things and get joy by challenging myself.