Scholar
yanan wu
Google Scholar ID: h1SE2-0AAAAJ
China Agricultural University
Citations & Impact
Citations
241
H-index
9
i10-index
9
Publications
14
Co-authors
5
list available
Resume
Academic Achievements
- Published papers in top international conferences and journals such as AAAI 2024, ICCV 2023, TCSVT 2023, IJCAI 2021, covering topics like domain adaptation, novel class discovery, multi-label image classification, etc. Specific works include 'Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization' and 'MetaGCD: Learning to Continually Learn in Generalized Category Discovery'.
Research Experience
- Served as a teaching assistant for Pattern Recognition at Harbin University of Science and Technology (Spring 2018) and Machine Learning (Spring 2017).
Education
- Ph.D. in Computer Science from Beijing Jiaotong University, supervised by Prof. Songhe Feng; Visiting Scholar at Concordia University, Canada, guided by Prof. Yang Wang.
Background
- Currently a Ph.D. student in the Department of Computer Science at Beijing Jiaotong University, supervised by Prof. Songhe Feng. Currently funded by the China Scholarship Council (CSC) to serve as a visiting scholar at Concordia University in Canada, under the guidance of Prof. Yang Wang. Research interests include computer vision and machine learning, with a focus on transfer learning, meta-learning, and incremental learning. Aiming to build AI models that are personalized, flexible, and easily adaptable to different scenarios with minimal efforts.
Miscellany
- Looking for faculty positions related to Artificial Intelligence, Computer Vision, and Machine Learning, and willing to give talks on research in related seminars.
