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Yuting Su

 Su Yuting



Tianjin International Engineering Institute




School of Electrical and Information Engineering




D-419 Room, Building 26



Su Yuting, received the B.S. degree, the M.S. degree and the Ph.D. degree from Tianjin university, China, in 1995, 1998 and 2001 respectively. He is currently a Professor with the School of Electronic and Information Engineering at Tianjin University, Tianjin, China. His research interests include image/video coding, multimedia content analysis, and information security. 

In recent years, He has undertaken a number of research programs, including 5 National Natural Science Foundation projects, one National High-tech Research and Development Project, and other Science Foundation projects in Tianjin. He is the author of more than 70 refereed journal and conference papers in multimedia processing and security.



Ph D (Signal and Information Processes), Tianjin University, 2001

MS (Signal and Information Processes), Tianjin University, 1998

BS (Signal and Information Processes), Tianjin University, 1995


Selected Publications (2020-2022)


1. Yuting Su, Yuqian Li, Weizhi Nie, Dan Song, Anan Liu. Joint Heterogeneous Feature Learning and Distribution Alignment for 2D Image-Based 3D Object Retrieval IEEE Transactions on Circuits and Systems for Video Technology, 2020,30(10): 3765-3776.

2. Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su. Low-rank regularized multi-representation learning for fashion compatibility prediction[J]. IEEE Transactions on Multimedia, 2020 22(6): 1555-1566. 

3. Yuting Su, Daozheng Hong, Yang Li, Peiguang Jing. Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Signal Processing Letters, 2020, 27: 740-744. 

4. Yuting Su, Wenhui Li, Weizhi Nie, Anan Liu. Multi-View Graph Matching for 3D Model Retrieval[J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020, 16(3): 1-20. 

5. Yuting Su, Yao Lu, Mei Chen, Anan Liu. Deep Reinforcement Learning-Based Progressive Sequence Saliency Discovery Network for Mitosis Detection In Time-Lapse Phase-Contrast Microscopy Images. IEEE/ACM Transactions on Computational Biology and Bio-informatics, 2020: 854-865.

6. Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, Anan Liu. Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval. International Joint Conference on Artificial Intelligence, 2020: 883-889.

7. Peiguang Jing, Yuechen Shang, Liqiang Nie, Yuting Su*, Jing Liu, Meng Wang. Learning Low-rank Sparse Representations with Robust Relationship Inference for Image Memorability Prediction. IEEE Transactions on Multimedia, vol. 2021, 23: 2259-2272.

8. Peiguang Jing, Yuting Su*, Zhengnan Li, Liqiang Nie. Learning robust affinity graph representation for multi-view clustering. Information Sciences, 2021 544: 155-167. 

9. Yuting Su, Junyu Xu, Daozheng Hong, Fugui Fan, Jing Zhang*, Peiguang Jing. Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. Information Sciences, 2021, 575: 587-598. 

10. Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu*, Yuting Su*, Tat-Seng Chua. Generating Face Images With Attributes for Free," in IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 6, pp. 2733-2743.

11. Yuting Su, Yuqian Li, Dan Song, Anan Liu, Jie Nie. Joint Intermediate Domain Generation and Distribution Alignment for 2D Image-Based 3D Objects Retrieval. IEEE Transactions on Multimedia, 2021, 23:2127-2138.  

12. Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su*. Tripartite Graph Regularized Latent Low-rank Representation for Fashion Compatibility Prediction[J]. IEEE Transactions on Multimedia,2021,DOI: 10.1109

13. Yuting Su, Yao Lu, Jing Liu, Mei Chen, An-An Liu. Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark[J]. IEEE Transactions on Medical Imaging, 2021, 40(5): 1319-1328.

14. Yuting Su, Wei Zhao, Peiguang Jing*, Liqiang Nie. Exploiting Low-rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distribution. IEEE Transactions on Multimedia, 2022. DOI: 10.1109/TMM.2022.3140892.



Selected Awards and Honors

(1) The Prize for Advance on Science and Technology of Tianjin in 2019

(2) The Prize for Advance on Science and Technology of Tianjin in 2020


Teaching Experience

(1) Digital Image Coding

(2) Circuit Analysis