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H. Wen BSc (Hongwei)

PhD Candidate

About Me

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. 

Expertise

Engineering & Materials Science
Experiments
Labels
Learning Algorithms
Supervised Learning

Research

 

Published 

H. Wen and H. Hang, Random Forest Density EstimationIn 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]

Publications

Recent
Wen, H., Cui, J. , Hang, H., Liu, J., Wang, Y., & Lin, Z. (2021). Leveraged Weighted Loss for Partial Label Learning. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research; Vol. 139). http://proceedings.mlr.press/v139/wen21a.html

Courses Academic Year  2022/2023

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.
 

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands