Research Interests：Machine Learning, Artificial intelligence, Big Data Analysis

Education experience：

Shandong University    Information and Computing Science  Bachelor

Chinese Academy of Sciences     Applied Mathematics    Ph.D

Working experience：

2012.07-2020.06    Wenzhou University     Lecturer, Associate Professor

2020.06-now  Xi'an Jiaotong University     Associate Professor

Honors and Awards：

1. 2018.12, Young Top-notch Talents for Scientific and Technological Innovation in “Special Support Plan for High-level Talents” of Wenzhou City, Wenzhou City Committee Organization Department, Municipal Awards, Di Wang.

2. 2016.11, The Third Level of Training Personnel in `551 Personnel Engineering' of Wenzhou, Wenzhou City Committee Organization Department, Municipal Awards, Di Wang.

Teaching courses

Theoretical Basis of Optimization

Pattern Recognition

Economic Mathematics

Mathematical Model and Experiment

Data Mining

Academic Publications：

1. Shao-Bo Lin, Di Wang*, and Ding-Xuan Zhou, Distributed Kernel Ridge Regression with Communications, Journal of Machine Learning Research, 21(2020): 1-38.

2. Di Wang, Jinshan Zeng, and Shao-Bo Lin*, Random Sketching for Neural Networks With ReLU, IEEE Transactions on Neural Networks and Learning Systems, 2020, DOI: 10.1109/TNNLS.2020.2979228.

3. Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou*, and Dacheng Tao, Top-k Feature Selection Framework Using Robust 0-1 Integer Programming, IEEE Transactions on Neural Networks and Learning Systems, 2020, DOI: 10.1109/TNNLS.2020.3009209.

4. Xiaoqin Zhang, Qianqian Liu, Di Wang*, Li Zhao, Nannan Gu, Steve Maybank, Self-Taught Semisupervised Dictionary Learning with Nonnegative Constraint, IEEE Transactions on Industrial Informatics, 16(2020): 532-543.

5. Xiaoqin Zhang, Di Wang*, Zhengyuan Zhou, and Yi Ma, Robust Low-Rank Tensor Recovery with Rectification and Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, DOI: 10.1109/TPAMI.2019.2929043.

6. Xiaoqin Zhang*, Jingjing Zheng, Di Wang, Li Zhao, and Stepen Maybank, Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework, IEEE Transactions on Circuits and Systems for Video Technology, 2019, DOI : 10.1109/TCSVT.2019.2927603.

7. Qiaozhi Zhang, Di Wang*, and Yanguo Wang. Convergence of Decomposition Methods for Support Vector Machines. Neurocomputing, 317(2018): 179-187.

8. Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang*, Di Wang, and Liang Du, Top-k Supervise Feature Selection via ADMM for Integer Programming, International Joint Conference on Artificial Intelligence(IJCAI), Melbourne, Australia, 2017.8.19-8.25.

9. Di Wang, Xiaoqin Zhang*, Mingyu Fan, and Xiuzi Ye, Hierarchical mixing linear support vector machines for nonlinear classification, Pattern Recognition, vol. 59, pp 255-267, 2016.

10. Di Wang, Xiaoqin Zhang*, Mingyu Fan, and Xiuzi Ye, Semi-supervised dictionary learning via structural sparse preserving, American Association for Artificial Intelligence (AAAI), Phoenix, Arizona USA, 2016.2.12-2.17.

11. Di Wang, Xiaoqin Zhang*, Mingyu Fan, and Xiuzi Ye, An efficient classifier based on hierarchical mixing linear support vector machines, International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015.7.25-7.31.

12. Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, and Xiuzi Ye, Multi-modality tracker aggregation: from generative to discriminative, International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015.7.25-7.31.

Academic Projects

1. 2018.01-2021.12, Research on Enhancement and Classification Techniques for Images Based on Structural Sparse Representation and Deep Learning, 610,000 Yuan, National Natural Science Foundation of China, under study, in charge.

2. 2014.01-2016.12, Research on Objects Recognition and Classification Based on Human Visual Cognition Mechanisms, 250,000 Yuan, National Natural Science Foundation of China, completed study, in charge.

3. 2017.01-2019.12, Research on Semi-supervised Dictionary Learning Methods based on Underlying Structural Relationships of Samples, 90,000 Yuan, Zhejiang Provincial Natural Science Foundation, completed study, in charge.

4. 2014.01-2016.12, Research on Key Technologies of Target Tracking and Behavior Understanding in Complex Monitoring Scene, 150,000 Yuan, Science Technology Department of Zhejiang Province, completed study, in charge.

5. 2013.01-2015.12, Research on Efficient SVM Classifiers based on Hierarchical Structure，50,000 Yuan, Zhejiang Provincial Natural Science Foundation, completed study, in charge.

6. 2018.05-2021.04，Intelligent Learning Environment and Tools for Supporting Cloud Fusion, 3,780,000 Yuan, Ministry of Science and Technology of China, under study, attended.

7. 2015.01-2018.12, Research on Methods of Artificial Intelligence based on the regional stability theory, 670,000 Yuan, National Natural Science Foundation of China, completed study, attended.

8. 2015.01-2018.12, Research on Visual tracking based on Multiple Feature Joint Sparse Representation and Low-rank Recovery, 760,000 Yuan, National Natural Science Foundation of China, completed study, attended.

9. 2015.04-2017.03, Simultaneous Denoising and Non-rigid Registration for Medical Image, 80,000 Yuan, National Natural Science Foundation of China, completed study, attended.