Research Interests：Machine Learning, Deep Learning, Data-driven Intelligent Decision-making

Education experience：

2015.03-2020.12    Xi’an Jiaotong University  Applied Mathematics  Ph.D

2013.09-2015.03    Xi’an Jiaotong University  Applied Mathematics  Master

2009.09-2013.06    Xi’an Jiaotong University  Information and Computer Science  B.Eng

Working experience：

2020.12-now       School of Business, Xi’an Jiaotong University    Assistant Professor

2020.12-now       School of Business, Xi’an Jiaotong University    Postdoctoral Fellow

Honors and Awards：

Teaching courses:

Intelligent Decision-Making and Machine Learning

Data Mining and Knowledge Discovery

Scalable Data Analysis

Academic Publications：

1) Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu: SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning, IEEE Transactions on Cybernetics, 51(3): 1556-1570, (2021)

2) Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng: Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing,  58(11): 7654-7671, (2020)

3) Wenfei Cao, Kaidong Wang, Guodong Han, Jing Yao, Andrzej Cichocki, A Robust PCA Approach with Noise Structure Learning and Spatial–Spectral Low-Rank Modeling for Hyperspectral Image Restoration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10): 3863-3879, (2018)

4) Shao-bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou: Universal Consistency of Deep Convolutional Neural Networks, IEEE Transactions on Information Theory, 68(7):4610 - 4617, (2022)（The authors contribute equally to this work and listed in alphabetical order.）

5) Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang: Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions, IEEE Transactions on Neural Networks and Learning Systems, (2022)

6) Yao Wang, Yishan Han, Kaidong Wang, Xi-Le Zhao: Total Variation Regularized Nonlocal Low-rank Tensor Train for Spectral Compressive Imaging, Signal Processing, (2022)

Academic Projects

1) 2022/01-2024/12: Deep geometric tensor completion, national Natural Science Foundation youth Project, in process, in charge;

2) 2022/01-2023/12, Research on tensor RPCA algorithm and application based on graph neural network, General project of China Postdoctoral Science Foundation, in process, in charge.