Wu, Qiang
Middle Tennessee State University
H-index: 28
North America-United States
Top articles of Wu, Qiang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Robust Representations in Deep Learning | DBKDA 2023 | Shu Liu Qiang Wu | 2023/3/13 |
Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning | IEEE/ACM Transactions on Computational Biology and Bioinformatics | Donglin Wang Don Hong Qiang Wu | 2022/4/26 |
Optimality of regularized least squares ranking with imperfect kernels | Information Sciences | Fangchao He Yu Zeng Lie Zheng Qiang Wu | 2022/4/1 |
Prediction of loan rate for mortgage data: Deep learning versus robust regression | Computational Economics | Donglin Wang Don Hong Qiang Wu | 2022/2/18 |
A statistical learning assessment of Huber regression | Journal of Approximation Theory | Yunlong Feng Qiang Wu | 2022/1/1 |
Fast rates of gaussian empirical gain maximization with heavy-tailed noise | IEEE Transactions on Neural Networks and Learning Systems | Shouyou Huang Yunlong Feng Qiang Wu | 2022/5/13 |
Pairwise Learning for Imbalanced Data Classification | Shu Liu Qiang Wu | 2021/12/15 | |
Regularized least square kernel regression for streaming data | Communications in Mathematical Sciences | Xiaoqing Zheng Hongwei Sun Qiang Wu | 2021 |
Robust pairwise learning with Huber loss | Journal of Complexity | Shouyou Huang Qiang Wu | 2021/10/1 |
Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms | Science of The Total Environment | Xia Cui Thomas Goff Song Cui Dorothy Menefee Qiang Wu | 2021/6/25 |
Learning theory of minimum error entropy under weak moment conditions | Analysis and Applications | Shouyou Huang Yunlong Feng Qiang Wu | 2021/3/6 |
Kernel gradient descent algorithm for information theoretic learning | Journal of Approximation Theory | Ting Hu Qiang Wu Ding-Xuan Zhou | 2021/3/1 |
On the Selection of Hyperparameters in Convolutional Neural Networks | Donglin Wang Qiang Wu | 2021/12/15 | |
Optimal rates of distributed regression with imperfect kernels | The Journal of Machine Learning Research | Hongwei Sun Qiang Wu | 2021/1/1 |
Distributed minimum error entropy algorithms | Journal of Machine Learning Research | Xin Guo Ting Hu Qiang Wu | 2020/1/1 |
A Framework of Learning Through Empirical Gain Maximization | arXiv preprint arXiv:2009.14250 | Yunlong Feng Qiang Wu | 2020/9/29 |
Preface to the special issue on analysis in machine learning and data science | Communications on Pure and Applied Analysis | Andreas Chirstmann Qiang Wu Ding-Xuan Zhou | 2020/8 |
Learning under (1+ ϵ)-moment conditions | Applied and Computational Harmonic Analysis | Yunlong Feng Qiang Wu | 2020/6/1 |
Moving quantile regression | Journal of Statistical Planning and Inference | Hongzhi Tong Qiang Wu | 2020/3/1 |
Co-Authors
