Zhen Cui (崔 振)

Professor, Ph.D.,

School of Computer Science and Engineering,

Nanjing University of Science and Technology, Nanjing, China.

  

Email: zhen.cui@njust.edu.cn; zhen.cui@seu.edu.cn

URL: aip.seu.edu.cn/zcui/  

           http://cs.njust.edu.cn/36/8f/c1732a145039/page.htm

Office: Room 4034, School of Computer Science and Engineering, Xiaolingwei 200#, Nanjing, P.R. China.



  

BIOGRAPHY


Received the Ph.D. degree in computer science from Institute of Computing Technology (ICT), Chinese Academy of Science (CAS), Beijing, in Jun. 2014. He was a Research Fellow in the Department of Electrical and Computer Engineerning at National University of Singapore (NUS) from Sep. 2014 to Nov. 2015. He also spent half a year as a Research Assistant on Nanyang Technological University (NTU) from Jun. 2012 to Dec. 2012. Now he is an Professor of Nanjing University of Science and Technology, China. His research interests cover computer vision, pattern recognition and machine learning, especially focusing on deep learning, manifold learning, sparse coding, face detection/alignment/recognition, object tracking, image super resolution, emotion analysis, etc.

   

EDUCATION


Chinese Academy of Sciences, Beijing, China

Ph.D. student, Computer Science

Sep. 2009 – June 2014

Sun Yat-sen (Zhongshan) University, Guangzhou, China

M.S., Computer Software and Theory

Sep. 2004 – July 2006

Shandong Normal University, Jinan, China

B.S., Computer Science

Sep. 2000 – July 2004

   

WORK EXPERIENCE


National University of Singapore, Singapore

Research Fellow (Postdoc.)

Sep. 2014 – Nov.2015

Nanyang Technological University, Singapore

Research Assistant

Jun 2012 -Dec. 2012

Huaqiao University, Xiamen, Fujian, China

Teacher, Lecturer

July 2006 – Mar. 2016

Southeast University, Nanjing, Jiangshu, China Teacher, Associate Professor April 2016 – April 2017
Nanjing University of Science and Technology, Nanjing, Jiangshu, Chian Teacher, Professor April 2017 – present

   

RESEARCH FOCUS


Cover computer vision, pattern recognition and machine learning. Especially focus on manifold learning, sparse coding, deep learning, and their applications in face detection/alignment/recognition, object tracking/classification, super resolution and emotion analysis.

   

REPRESENTATIVE PUBLICATIONS

  1. Zhenyu Zhang, Zhen Cui*, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang*. Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation.  European Conference on Computer Vision (ECCV), 2018, accepted.

  2. Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang. Context-Dependent Diffusion Network for Visual Relationship Detection.  ACM Multimedia Conference (ACM MM), 2018, accepted.

  3. Wenming Zheng, Cheng Lu, Zhouchen Lin, Tong Zhang, Zhen Cui, Wankou Yang, L1-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions. IEEE Transactions on Neural Networks and Learning Systems  (T-NNLS), 2018. DOI: 10.1109/TNNLS.2018.2863264.

  4. Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng. Recurrent Shape Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018, DOI: 10.1109/TPAMI.2018.2828424.  Codes300-W Results

  5. Yang Li, Wenming Zheng, Zhen Cui, Yuan Zong, Tong Zhang. A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition, 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.

  6. Yuan Zong, Wenming Zheng, Xiaohua Huang, Jingang Shi, Zhen Cui, and Guoying Zhao. Domain Regeneration for Cross-Database Micro-Expression Recognition. IEEE Transactions on Image Processing (T-IP), 2018. DOI: 10.1109/TIP.2018.2821979.

  7. Wei Wang, Yan Yan, Zhen Cui, Shuichen Yan, and Nicu Sebe. Recurrent Face Aging with Hierarchical AutoRegressive Memory. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018, DOI: 10.1109/TPAMI.2018.
    2803166.
  8. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao. Learning from Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition. IEEE Transactions on Multimedia (T-MM), 2018. DOI: 10.1109/TMM.2018.2820321.
  9. Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks. IEEE Transactions on Affective Comuting (T-AC), 2018, DOI: 10.1109/TAFFC.2018.2817622.
  10. Zhenyu Zhang, Chunyan Xu, Jian Yang, Junbin Gao, Zhen Cui. Progressive Hard-mining Network for Monocular Depth Estimation, IEEE Transactions on Image Processing (T-IP), 2018, DOI: 10.1109/TIP.2018.2821979.
  11. Chaolong Li#, Zhen Cui#, Wenming Zheng, Chunyan Xu, Jian Yang: Sptaio-Temproal Graph Convolution for Skeleton-based Action Recognition. AAAI Conference on Artificial Intelligence (AAAI), 2018.
  12. Chaolong Li#, Zhen Cui#, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang: Action-Attending Graphic Neural Network. IEEE Transactions on Image Processing (T-IP),2018, DOI: 10.1109/TIP.2018.2815744.
  13. Tong Zhang, Wneming Zheng, Zhen Cui: Spatial-Temporal Recurrent Neural Network for Emotion Analysis, IEEE Transactions on Cybernetics (T-Cyb), 2017, DOI: 10.1109/ TCYB.2017.2788081.
  14. Zhen Cui, Zhiheng Niu, Luoqi Liu and Shuicheng Yan. Layerwise class-aware convolutional neural network. IEEE Transactions on Circuits Systems and Video Technology (T-CSVT).  Video Techn.27(12): 2601-2612 (2017).
  15. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, and Guoying Zhao. Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition. ACM Multimedia Conference (ACM MM), 2017. DOI: 10.1109/TMM.2018.2820321
  16. Yan Li, Ruiping Wang, Zhen Cui, Shiguang Shan, and Xilin Chen. Spatial Pyramid Covariance based Compact Video Code for Robust Face Retrieval in TV-series, IEEE Transactions on Image Processing (T-IP), 2016.
  17. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Jingwei Yan, Keyu Yan, “A Deep Neural Network Driven Feature Learning Method for Multi-view Facial Expression Recognition”, IEEE Transactions on Multimedia (T-MM), 2016.
  18. Wei Wang, Zhen Cui, Yan Yan, Xiangbo Shu, Jiashi Feng, Shuicheng Yan and Nicu Sebe. Deeply Face Aging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral)
  19. Zhen Cui, Shengtao Xiao, Jiashi Feng and Shuicheng Yan. Recurrently Target-Attending Tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Results on the benchmark [CVPR’13]
  20. Zhen Cui, Hong Chang, Shiguang Shan, and Xilin Chen. Generalized Unsupervised Manifold Alignment. Neural Information Processing Systems Foundation (NIPS), 2014.
  21. Zhen Cui, Hong Chang, Shiguang Shan, Bineng Zhong and Xilin Chen. Deep Network Cascade for Image Super-resolution. European Conference on Computer Vision (ECCV), 2014.
  22. Wen Wang, Zhen Cui, Hong Chang, Shiguang Shan and Xilin Chen. Deeply Coupled Auto-encoder Networks for Cross-view Classification. arXiv:1402.2031.
  23. Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, and Xuelong Li. Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance, IEEE Transactions on Cybernetics (T-cyb). 44(12):2264 – 2273, 2014.
  24. Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2013, 3554-3561.  Codes
  25. Zhen Cui, Shiguang Shan, Haihong Zhang, Shihong Lao, and Xilin Chen. Image Sets Alignment for Video-based Face Recognition, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2012, 2626-2633.

 * Correspondence author; # Equal Contributions

 

CODES/RESULTS

  • Face Region Descriptor & Multiple Metric Learning. Codes.
    • (Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2013, 3554-3561.)
  • Recurrent Shape Regression. Codes, 300-W Results. 
    • (Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng, Wenming Zheng, Recurrent Shape Regression, Underview)
  • Recurrently Target-Attending Tracking (RTT). Results on the benchmark [CVPR’13].
    • (Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. Recurrently Target-Attending Tracking. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2016)
  • Spectral Filter Tracking (SFT). (Code, coming soon … )
    • (Zhen Cui#, Youyi Cai#, Wenming Zheng, Chunyan Xu, Jian Yang). Spectral Filter Tracking, Underview)


PATENTS


[1] Xilin Chen, Xiujuan Chai, Zhen Cui, Bin Wu, Yuan Zheng, Haifeng Chen. Fast classification and relevant devices for glass image defects. No. CN201010266615.0, Mar, 2011.

[2] Xilin Chen, Xiujuan Chai, Bin Wu, Zhen Cui,Yuan Zheng, Haifeng Chen. Robust detection and relevant devices for scratched glass image. No. CN201010266622.0, Mar, 2011.

   

RESEARCH PROJECTS



1. Study on Recursive Modeling and Its Applications to Facial Analysis. (NSFC No. 61772276, 2018/01-2021/12) PI

2. Data Representation for Complex Scenes. (2018/01-2020/12) PI 
3. Sparse manifold modeling and its application to video-based face recognition. (NSFC:No. 61202297, 2013/01-2015/12) PI
4. Face recognition from low-quality videos. (Natural Science Foundation of Fujian Province:No.2013J01239, 2013/01-2015/12) PI
5. Joint Representation and Processing of Clustering Image / Video. (Major Program of NSFC, No. 61390511, 2014/01-2018/12)

   

HONORS


1. Winner of the FERA 2017 AU Occurrence Detection Challenge, Washington, USA.

2. Second Runner-up position in Video Based Emotion Recognition Challenge at ACM International Conference on Multimodal Interaction, Tokyo.

3. Received the excellent PH.D. thesis of CAS in 2015.

   

SERVICES


Reviewer of NIPS/CVPR/ICCV/ECCV/ICIP/ACM MM/ACCV/CCBR/…

Reviewer of T-PAMI, T-NNLS, T-MM, T-IP, T-CSVT, PR, Neurocomputing, Journal of Computer Research and Development, Machine Vision and Applications.

 
 
Last Modified: 2018-08-14

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