Power System Automation Institute

Academic identity

IEEE Member, member of Beijing Graphics and Image Society

Work experience

2020.01Present  Shandong University

2013.11-2019.12   University of Science and Technology Beijing

2010.11-2013.11 Tsinghua University

Personal information

Name

Su Ya

Gender

Male

Date of birth

1981.10

Place of Origin

Jining, Shandong

Professional title

Associate Researcher/ Master’s Tutor

Telephone

18610112882

Email

suya@sdu.edu.cn

Personal homepage

faculty.sdu.edu.cn/suya

Research direction

Computer Vision, Artificial Intelligence and Power Systems

Academic works

1.           Fast alignment for sparse representation based   face recognition, PATTERN RECOGNITION, 2017. SCI. (IF:5.898)

2.           Submanifold Decomposition. IEEE Transactions   on Circuits and Systems for Video Technology, 2014. SCI. (IF: 4.046)

3.           Symmetric Face Normalization, Symmetry, 2019,   SCI, (IF: 2.143),

4.           A Unified Framework for Tracking Based Text   Detection and Recognition from Web Videos, IEEE Transactions on Pattern   Analysis and Machine Intelligence, 2017. SCI. (IF: 17.730)

5.           Fast-FineCut: Grain boundary detection in   microscopic images considering 3D information, MICRON, 2019, SCI. (IF: 1.53)

6.           Segmentation and reconstruction of DCT images   based on lifted multicut, EURASIP Journal on Image and Video Processing, 2018,   SCI, (IF:1.737)

7.           Robust Video Face Recognition Under Pose Variation,   Neural Processing Letters, 2018. SCI. (IF:1.448)

8.           Sparse Representation based Face Recognition   against Expression and Illumination, IET-Image Processing, 2017. SCI. (IF:   2.00)

9.           Age-Variation Face Recognition Based on Bayes   Inference, International Journal of Pattern Recognition and Artificial   Intelligence, 2015. SCI. (IF: 1.11)

10.       Single-Image Expression Invariant Face   Recognition Based on Sparse Representation. International Conference on   Neural Information Processing, 2015.

Undertake scientific research projects

1.   Research on multi-step wind power power prediction algorithm based on deep learning，Shandong University Basic Research Funds

2.   Research on age-adaptive face recognition algorithm，National Natural Science Foundation of China

3.   High-throughput material testing big data acquisition and processing technology，Ministry of Science and Technology

4.   Key technologies of vehicle-road interactive driving safety system, Country863Plan

5.   Age-independent facial recognition based on manifold decomposition, Postdoctoral Fund

6.   Integrated management and analysis of massive uncertain heterogeneous data, Country863Plan

7.          Special database for materials genome engineering and materials big data technology, National Key R&D Plan

Academic Type

Recruiting academic and professional master’s students