Di Fang
Final-year undergraduate at the South China University of Technology, major in Artificial Intelligence.
Di Fang
方笛
fti@mail.scut.edu.cn
Di Fang (方笛) is a final-year undergraduate at the School of Future Technology, South China University of Technology. His research interests include machine learning and continual learning.
He is now under the supervision of Dr. Huiping Zhuang at the Machine Intelligence & Advanced Adaptation Laboratory, exploring imbalanced continual learning and the continual learning of large models. His research aims to develop online, exemplar-free continual learning algorithms for real-world scenarios.
He is looking for a Ph.D. position.
news
| Oct 09, 2024 | Our paper “Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task” is accepted by IEEE Transactions on Vehicular Technology. |
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| Sep 25, 2024 | Our paper “GACL: Exemplar-Free Generalized Analytic Continual Learning” is accepted by NeurIPS 2024. [Poster] |