Your Name

Yuecheng Li

First year Ph.D. student at USC

My primary research interests encompass Deep Learning, Computer Vision, and Probabilistic Machine Learning Models. I am currently working under the guidance of Professor Nicolas Schweighofer at the University of Southern California, focusing on Bayesian Modeling and its applications in Motor Learning. Previously, I collaborated with Professor Laurent Itti on projects related to Continual Learning and Transfer Learning. My academic journey includes an M.S. degree in Computer Science from the University of Southern California and a Bachelor's degree in Computer Science from the University of Illinois - Urbana Champaign. I have contributed to significant publications, including "CLR: Channel-wise Lightweight Reprogramming for Continual Learning" presented at ICCV 2023 and "Lightweight Learner for Shared Knowledge Lifelong Learning" published in TMLR. My work in transfer and continual learning has achieved state-of-the-art performance, surpassing existing benchmarks.

Publications

Publication Title

CLR: Channel-wise Lightweight Reprogramming for Continual Learning

Yunhao Ge, Yuecheng Li*, Shuo Ni*, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti (*=equal contribution as second author)

ICCV 2023 (International Conference on Computer Vision)

[paper] [code] [video]
Publication Title

Lightweight Learner for Shared Knowledge Lifelong Learning

Yunhao Ge, Yuecheng Li*, Di Wu*, Ao Xu*, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti (*=equal contribution as second author)

TMLR (Transactions on Machine Learning Research)

[paperr] [code] [website] [dataset] [Viterbi Press]

Research Experience

Work Experience