Lianzhe Wang (王联喆)

About me

Welcome! My name is Lianzhe Wang. I am a Master’s student at Tsinghua University, advised by Prof. Wenwu Zhu. I am also fortunate to be mentored by Dr. Shanghang Zhang from UC Berkeley BAIR during my graduate study.

My research interests include Generalization of Machine Learning, Meta-learning, and Recommender Systems. I am especially interested in improving the generalization ability of deep learning models under continually changing environments.

Updates

• Paper Improving Generliazaion of Meta-learning with Inverted Regularization at Iner-level has been accepted by the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023. (project website, paper PDF, slides, presentation.)
• Paper Active Gradual Domain Adaptation: Dataset and Approach has been accepted as a journal article on IEEE Transactions on Multimedia (TMM). (project website, paper PDF, slides, code, datasets.)
• Paper Online Continual Adaptation with Active Self-Training has been accepted by Artificial Intelligence and Statistics (AISTATS) 2022. (ArXiv)