| Benying Tan | 谭本英 Assistant Professor |
Experiences
- Ph.D. (University of Aizu, Japan).
- 7 years of experience in industry.
Research Interests
Sparse representation, optimization, machine learning, image and video processing.
- Design and develop of sparse representation algorithms to accurate representing and recovering signals;
application of sparse representation algorithms in real-world images and videos, etc.
Five Selected Publications
[1] B. Tan, Y. Li, H. Zhao, X. Li, S. Ding, A novel dictionary learning method for sparse representation with nonconvex regularizations, Neurocomputing, Volume 417, 2020， P 128-141.
[2] B. Tan, S. Ding, Y. Li and X. Li. Nonnegative Sparse Representation of Signals with a Determinant-Type Sparsity Measure Based on the DC Programming, IEEE Access, 6(1), 2018, pp.67301-67315.
[3] B. Tan, Y. Li, S. Ding, I. Paik and A. Kanemura. DC Programming for Solving a Sparse Modeling Problem of Video Key Frame Extraction, Digital Signal Processing (DSP), vol.83, 2018, pp.214-222.
[4] B. Tan, Y. Li, S. Ding and X. Li. Recovering Nonnegative Sparse Signals with a Determinant-type of Sparse Measure and DC Programming, Proceedings of International Conference on Applied Computer and Communication Technologies (ComCom), May 2017.
[5] X. Li, S. Ding, Z. Li and B. Tan. Device-free Localization via Dictionary Learning with Difference of Convex Programming, IEEE Sensors Journal, 17(17), 2017, pp.5599–5608.
