Dr. rer. nat. H. Hang (Hanyuan)

Universitair docent


Liu, J. , Hang, H., Wang, B., Li, B., Wang, H., Tian, Y., & Shi, Y. (2021). GAN-CL: Generative Adversarial Networks for Learning from Complementary Labels. IEEE transactions on cybernetics. https://doi.org/10.1109/TCYB.2021.3089337
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
Cui, J. , Hang, H., Wang, Y., & Lin, Z. (2021). GBHT: Gradient Boosting Histogram Transform for Density Estimation. In International Conference on Machine Learning, 18-24 July 2021 (Proceedings of machine learning research; Vol. 139).
Hang, H., & Steinwart, I. (2021). Optimal learning with anisotropic Gaussian SVMs. Applied and Computational Harmonic Analysis, 55, 337-367. https://doi.org/10.1016/j.acha.2021.06.004
Hang, H., Lin, Z., Liu, X., & Wen, H. (2021). Histogram Transform Ensembles for Large-scale Regression. Journal of machine learning research, 22. https://jmlr.org/papers/v22/19-1004.html



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