罗朝旗
M.S. student, EE (AI Track)
University of Pennsylvania
luo31@seas.upenn.edu
I am Chaoqi Luo, an M.S. student in Electrical Engineering (AI track) at the University of Pennsylvania. I am a research intern in Prof. Jiatao Gu’s group, collaborating with Yong-Hyun Park (1st-year PhD @ UPenn CIS) on autoregressive video generation — accelerating it toward real-time with few-step flow distillation. I'm also currently very interested in AI agents and LLMs, and I'm exploring the space through hands-on projects.
I did my undergraduate study at the SWJTU–Leeds Joint School (Chengdu, China), majoring in Electronic & Electrical Engineering and graduating with UK First-Class Honours. I was fortunate to do research advised by Prof. Zitong Yu.

University of Pennsylvania
M.S. in Electrical Engineering · AI track
2025.08 – 2027.05
Philadelphia, US

Southwest Jiaotong University
B.Eng. in Electronic Information Engineering
2021.09 – 2025.07
Chengdu, China

University of Leeds
B.Eng. in Electronic & Electrical Engineering · UK First-Class Honours
2021.09 – 2025.07
Leeds, UK
PhysMamba: Efficient remote physiological measurement with SlowFast temporal difference Mamba↗
C Luo, Y Xie, Z Yu
Chinese Conference on Biometric Recognition (CCBR), 2024 · ★ Best Paper Honorable Mention
Semi-rPPG: Semi-supervised remote physiological measurement with curriculum pseudo-labeling↗
B Wu, Z Yu, Y Xie, W Liu, C Luo, Y Liu, RSM Goh
IEEE Transactions on Instrumentation and Measurement (TIM), 2025
Ensemble deep learning for blood pressure estimation using facial videos↗
W Liu, B Wu, M Zhou, X Zheng, X Wang, Y Xie, C Luo, L Zhen
Remote Physiological Signal Sensing (RePSS) @ IJCAI, 2024