| Shuxue Ding | 丁数学 Professor Founding Dean of SAI Adjunct Professor of Nankai University, China |
Experiences
- Ph.D. (Tokyo Institute of Technology, Japan).
- 7 years of experience in IT industry in Japan.
- Professor and Chair of Graduate Department of Computer and Information Systems at the University of
Aizu, Japan.
- Director of Cognitive Science Laboratory at the University of Aizu, Japan.
Research Interests
Compressive sensing and sparse representation, machine learning.
- Deep Learning and Reinforcement Learning; Sparse Representation and Compressive Sensing; Independent
Component Analysis (ICA) and Blind Source Separation (BSS), etc.
- DSP 2015 Best Paper Award; iCAST 2015 Best Student Paper Award.
- 5 Japanese patents patented.
Five Selected Publications
[1] H. Huang, S. Ding*, L. Zhao, H. Huang and L. Chen. Real-Time Fault-Detection for IIoT Facilities Using GBRBM-Based DNN, accepted by IEEE Internet of Things Journal (IoTJ).
[2] L. Zhao, H. Huang, X. Li, S. Ding*, H. Zhao and Z. Han. An Accurate and Robust Approach of Device-Free Localization with Convolutional Autoencoder, IEEE Internet of Things Journal (IoTJ), 6(3), 2019, pp.5825-5840.
[3] Z. Yang, Y. Xiang, S. Xie, S. Ding and Y. Rong. Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 23(10), 2012, pp.1601-1610.
[4] Z. Yang, G. Zhou, S. Xie, S. Ding, J. Yang and J. Zhang. Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization, IEEE Transactions on Image Processing (TIP), 20(4), 2011, pp.1112-1125.
[5] Z. He, S. Xie, S. Ding and A. Cichocki. Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation, IEEE Transactions on Audio, Speech and Language Processing (TASLP), 15(5), 2007, pp.1551-1563.
