About me
I am currently a Ph.D. student in the Department of
Electrical and Computer Engineering at Wayne State University,
under the supervision of Prof. Xingyu Zhou.
Prior to my doctoral studies, I received my B.E. in Software Engineering from Beijing Jiaotong University.
I have gained valuable industry experience as a co-founding member at Neurospark (Nanjing) Technology Co., Ltd.
Additionally, I worked as a Deep Learning Intern at China Railway
Rolling Stock Corporation (CRRC), focusing on abnormal behavior detection systems.
Research Interests
My research primarily centers on the intersection of machine learning and stochastic systems, with a specialized focus on the following key areas:
- Reinforcement Learning
- Differential Privacy
- Task Offloading within Edge Computing
Education
Ph.D. in Computer Science, Wayne State University, 2025 - 2030 (Expected)
B.E. in Software Engineering, Beijing Jiaotong University, 2020 - 2024
Publications
Research on Serverless Edge Computing Container Caching Strategies for Cost Optimization
Graduation Project, 2024
Online Energy-Efficient and Elastic Cloud Resource Provisioning with QoS Guarantee
Submitted for Publication, 2024
Nmr-VSM: Non-Touch Motion-Robust Vital Sign Monitoring via UWB Radar Based on Deep Learning
Micromachines, JCR Q2, 2023
Projects
GlucoInsight: Advanced Blood Glucose Monitoring Assistant
Developed an innovative system utilizing cutting-edge algorithms from UCL laboratories for comprehensive diabetes management. The system features real-time glucose monitoring and personalized health recommendations, powered by exclusively licensed technology. This groundbreaking project received multiple awards at AdventureX 2024.
Cloud-based Physical Fitness Test Platform
Engineered a platform for automated physical fitness assessment, integrating advanced motion tracking technology for real-time exercise form analysis. This innovative system has significantly improved the efficiency and accuracy of fitness evaluations, and has been adopted by dozens of primary, secondary, and high schools across China. Its widespread implementation demonstrates its effectiveness in enhancing physical education programs nationwide.
Awards
- Featured Project, "Reimagining Daily Workflows" track, AdventureX 2024 (Sponsored by Linear Capital)
- Second Prize, "Local Life and Large Models" track, AdventureX 2024 (Sponsored by AI Leap Studio)
- Third Prize, "Paper Cuts" track, AdventureX 2024 (Sponsored by AWS)
- Second Prize, "Moonshot AI Top-Down Continuation" track, AdventureX 2024 (Sponsored by Moonshot AI)
- Excellent Award, Beijing Jiaotong University Innovation Training Program 2023
- Outstanding Youth League Leader, Beijing Jiaotong University 2022
- Third-Class Excellent Scholarship for Social Work, Beijing Jiaotong University 2021