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 currently a Research Engineer Intern at Zhipu (Z.AI), where my work focuses on agent harness engineering—building the runtime, tools, context-management systems, and feedback loops that make LLM agents more capable and reliable in real-world settings. At Penn, I also work as a research intern in Prof. Jiatao Gu’s group, collaborating with Yong-Hyun Park (PhD @ UPenn CIS) on accelerating autoregressive diffusion video generation with few-step flow distillation.
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.
Research Engineer Intern, AI Agents
2026.07 – Present
Beijing, China

University of Pennsylvania
M.S. in Electrical Engineering · AI track
2025.08 – Present
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
Pi-E-Flow: Uncertainty-Guided Flow Distillation for Autoregressive Video Generation↗
Y-H Park, H Chen, C Luo, K Yu, J Gu
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