About Me
I started my Ph.D. in January 2023 under the supervision of Dr. Hanyuan Hang. Before that, I received a B.S. degree in Statistics in 2018 and studied statistics as a postgraduate at Renmin University of China. My current research interests lie in developing statistical learning theory framework of machine learning algorithms including ensemble learning and weakly-supervised learning algorithms.
Organisations
Research
Preprints
J. Cui, T. Huang, H. Hang, Y. Wang, J. Kwok, Leveraged Asymmetric Loss with Disambiguation for Multi-label Recognition with One-Positive Annotations, technical report, 2022. [preprint]
H. Hang, T. Huang, Y. Cai, H. Yang, and Z. Lin, Gradient Boosted Binary Histogram Ensemble for Large-scale Regression, technical report, 2021. [preprint]
Published
T. Huang, S. Li, X. Jia, H. Lu, J. Liu, Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising, IEEE Transactions on Image Processing, 2022. [final]
T. Huang, S. Li, X. Jia, H. Lu, J. Liu, Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Image, In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021. [final]
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 2122
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
2122
P.O. Box 217
7500 AE Enschede
The Netherlands