H. Wen BSc (Hongwei)

I started my Ph.D. in September 2021 under the supervision of Dr. Annika Betken and Dr. Hanyuan Hang. Before that, I got my B.S. degree in applied mathematics at Nankai University, China, and studied applied statistics as a postgraduate at the Renmin University of China. My research topic is on developing machine learning algorithms and establishing statistical learning theory for transfer learning and domain adaptation problems.

Engineering & Materials Science

# Experiments
# Labels
# Learning Algorithms
# Supervised Learning

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Mathematics of Operations Research (MOR)

Published

H. Wen and H. Hang, Random Forest Density Estimation, In Proceedings of the 39th International Conference on Machine Learning, PMLR 162:23701-23722, 2022. [final]

H. Wen, J. Cui, H. Hang, J. Liu, Y. Wang, and Z. Lin, Leveraged Weighted Loss for Partial Label Learning, In Proceedings of the 38th International Conference on Machine Learning, PMLR 139:11091-11100, 2021 (Long Talk, Acceptance Rate 3%). [final]

H. Hang, Z. Lin, X. Liu, and H. Wen, Histogram Transform Ensembles for Large-scale Regression, Journal of Machine Learning Research, 22(95):1-87, 2021. [final]

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.