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.

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, and Policy Optimization.

🔥 News

2024.07: 🎉🎉 🥇🥈🥈🥉My team and I won AdventureX Hackathon - 1st Place in one track, 2nd Place in two tracks, and 3rd Place in one track (Total of 7 tracks entered).

📝 Publications

Nmr-VSM: Non-Touch Motion-Robust Vital Sign Monitoring via UWB Radar Based on Deep Learning, Zhonghang Yuan, Shuaibing Lu,Yi He, Xuetao Liu and Juan Fang, Micromachines, JCR Q2, 2023

💻 Internships

2023.07 - 2024.12, Neurospark (Nanjing) Technology Co., Ltd, Nanjing, China.
2023.03 - 2024.05, China Railway Rolling Stock Corporation (CRRC), Beijing, China.

🏆 Honors and 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

📖 Educations

2025.01 - Present, Ph.D. in Electrical and Computer Engineering, Wayne State University, USA.
2020.09 - 2024.06, B.E. in Software Engineering, Beijing Jiaotong University, China.

💬 Invited Talks