Responsible and Efficient Generative Modeling
Efficient flow-based generation, one-step transition modeling, and adaptive sampling.
I am a Ph.D. Student
I am a Ph.D. student in Computer Science at the University of Virginia, where I am affiliated with the RAISE Lab and advised by Prof. Ferdinando Fioretto. Previously, I completed my master's degree at the University of California, Irvine and worked as a Research Assistant in the Trustworthy ML/AI Group advised by Prof. Yanning Shen. I am also a student collaborator at Oak Ridge National Laboratory.
I received my bachelor's degree from Central South University (中南大学). During my senior year, I studied as an exchange student at the University of California, Irvine, where I completed my undergraduate thesis and graduate-level coursework. My Chinese name is 马晨睿.
My research centers on responsible and efficient generative modeling, trustworthy machine learning, and multimodal AI.
Efficient flow-based generation, one-step transition modeling, and adaptive sampling.
Fair representation learning, task-aware adaptation, and reliable low-rank fine-tuning.
Visual prompting, road damage detection, and cross-domain multimodal representation learning.
Academic Service
Conference reviewer for NeurIPS 2026, AAAI 2026, and AAAI 2027.
Teaching Service
Teaching Assistant for UCI EECS 298: Networked System, Spring 2026.