About me - Mingfu Liang
Ph.D. Candidate at Northwestern University
Mingfu Liang is a Ph.D. student at Northwestern University, started in Sep. 2020, under the supervision of Professor Ying Wu . His research mainly revolves around machine learning and computer vision, with a special emphasis on the theoretical foundations and practical applications of these fields. At present, his PhD thesis research is engrossed in enhancing machine learning algorithms with consistent, long-term learning capabilities and adaptive generalizability, enabling them to keep pace with a dynamic
Apart from his thesis research of Continual Learning, his general research interests span various domains. He is actively involved in different research projects on generative models like GPT and diffusion models, multi-modality learning like vision question answering (VQA) and vision language models (VLM), open world/vocabulary learning (e.g., classification and detection), uncertainty learning, model customization and personalization, robotic learning, domain adaptation and generalization, autonomous driv
About me - Mingfu Liang