人工智能学院

Yujie Li | 李玉洁

Associate Professor

Guangxi Hundred Talents Plan Expert

Experiences

- Ph.D. (University of Aizu, Japan). 

- 3 years of research experience at the Artificial Intelligence Research Center, National Institute of Advanced 

  Industrial Science and Technology (AIST), Japan. 

- PI of the KAKENHI 18K18083 project sponsored by Japan Society for the Promotion of Science (JSPS).

Research Interests

Sparse representation, optimization, deep learning, computer vision.

- Compressive sensing with analysis modeling; Saliency mapping with an inverse sparse coding framework, etc.


Five Selected Publications

[1] Y. Li, S. Ding, X. Li, B. Tan and A. Kanemura. "Residual-network-based Supervised Gaze Prediction for First-Person Videos", IEEE Access, vol.7, 2019, pp.56208-56216.

[2] Y. Li, B. Tan, A. Kanemura, S. Ding and W. Chen. "Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming", Complexity, vol.2018, 2018, pp.1–12.

[3] Y. Li, A. Kanemura, H. Asoh, T. Miyanishi and M. Kawanabe. "A Sparse Coding Framework for Gaze Prediction in Egocentric Video", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, pp.1313-1317.

[4] Y. Li, S. Ding and Z. Li. "Dictionary Learning with the Cosparse Analysis Model Based on Summation of Blocked Determinants as the Sparseness Measure", Digital Signal Processing, vol.48, 2016, pp.298-309.

[5] Y. Li, S. Ding and Z. Li. "Analysis Dictionary Learning Based on Summation of Blocked Determinants Measure of Sparseness", Proceedings of IEEE International Conference on Digital Signal Processing (DSP), July 2015, pp.224–228 (Best Paper Award).