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 : http://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, PR China.

BIOGRAPHY

Received a 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 Engineering 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 a 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 on graphs, video analysis and scene understanding, etc.

EDUCATION

Chinese Academy of Sciences, Beijing, China Ph.D. student, Computer Sciences Sep. 2009 – Jun. 2014
Sun Yat-sen (Zhongshan) University, Guangzhou, China M.S., Computer Software and Theory Sep. 2004 – Jul. 2006
Shandong Normal University, Jinan, China B.S., Computer Science Sep. 2000 – Jul. 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 Jul.  2006 – Mar. 2016
Southeast University, Nanjing, Jiangshu, China Teacher, Associate Professor Apr. 2016 – Apr. 2017
Nanjing University of Science and Technology, Nanjing, Jiangshu, China Teacher, Professor Apr. 2017 – present

RESEARCH FOCUS

Cover computer vision, pattern recognition and machine learning, especially  deep learning on graphs, video analysis and scene understanding.

REPRESENTATIVE PUBLICATIONS

  1. Pattern-Structure Diffusion for Multi-Task Learning, CVPR 2020, Accepted.

  2. Cross-Modal Pattern-Propagation for RGB-T Tracking, CVPR 2020, Accepted.

  3. Tong Zhang, Baoliang Cui*, Zhen Cui*, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng. Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guild in E-Commerce Search. IEEE International Conference on Data Engineering (ICDE), 2020. Accepted.

  4. Chunyan Xu, Zhen Cui*, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu. Graph Inference Learning for Semi-Superivsed Classification. International Conference on Learning Representations (ICLR), 2020. 

  5. Chunyan Xu, Chengzheng Li, Zhen Cui*, Tong Zhang, Jian Yang. Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2019, DOI: 10.1109/TGRS.2019.2963243.

  6. Jiatao Jiang, Chunyan Xu, Zhen Cui*, Tong Zhang, Wenming Zheng, Jian Yang. Walk-Steered Convolution for Graph Classification. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019, DOI: 10.1109/TNNLS.2019.2956095.

  7. Tengfei Song, Weming Zheng, Suyuan Liu, Yuan Zong, and Zhen Cui. Instance-Adaptive Graph for EEG Emotion Recognition. AAAI, 2020.

  8. Tong Zhang, Zhen Cui*, Chunyan Xu, Wenming Zheng, Jian Yang. Variational Pathway Reasoning for EEG Emotion Recognition. AAAI, 2020.

  9. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Chaolong Li, Xiaoyan Zhou, and Jian Yang. Deep Manifold-to-Manifold Transforming Network for Skeleton-based Action Recognition. IEEE Transactions on Multimedia (T-MM), 2019, DOI: 10.1109/TMM.2020.2966878.

  10. Wenting Zhao, Zhen Cui*, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang. Hashing Graph Convolution for Node Classification. ACM International Conference on Information and Knowledge Management Processings (CIKM), 2019. 

  11. Zhenyu Zhang, Zhen Cui*, Chunyan Xu, Zequn Jie, Xiang Li, and Jian Yang*. Joint Task-Recursive Learning for RGB-D Scene Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019. DOI: 10.1109/TPAMI.2019.2926728.

  12. Zhenyu Zhang, Zhen Cui*, Chunyan Xu, Yan Yan, Nicu Sebe, and Jian Yang*. Pattern- Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  13. Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, and Bin Hu. Towards Bridging Microexpressions from Different Domains. IEEE Transactions on Cybernetics (T-Cyb), 2019, DOI: 10.1109/TCYB.2019.2914512.

  14. Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang. Spectral Filter Tracking.  IEEE Transactions on Image Processing (T-IP), Vol.28, No.5, pp.2479-2489, 2019ResultCode(coming soon …)
  15. Yang Li, Wenming Zheng, Yuan Zong, Zhen Cui, Tong Zhang, Xiaoyan Zhou. A Bi-hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition. IEEE Transactions on Affective Computing (T-AC), 2018. DOI: 10.1109/TAFFC.2018.2885474.
  16. Jiatao Jiang, Zhen Cui*, Chunyan Xu, Jian Yang. Gaussian-Induced Convolution for Graphs. AAAI Conference on Artificial Intelligence (AAAI), 2019.
  17. Yang Li, Wenming Zheng, Lei Wang, Yuan Zong, Zhen Cui, “From Regional Brain to Global Brain: A Novel Hierarchically Spatial-Temporal Neural Network Model for EEG Emotion Recognition,” IEEE Transactions on Affective Computing (T-AC), 2019.  DOI: 10.1109/TAFFC.2019.2922912
  18. 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.
  19. Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang. Context-Dependent Diffusion Network for Visual Relationship Detection. ACM Multimedia Conference (ACM MM), 2018.
  20. 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.
  21. Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng. Recurrent Shape Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol.41, No.5, pp.1271-1278, 2019. Codes, 300-W Results
  22. 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.
  23. 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), Vol.27, No.5, pp.2484-2498, 2018.
  24. 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), 41(3): 654-668, 2019.
  25. 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), 20(11): 3160-3172, 2018.
  26. Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks. IEEE Transactions on Affective Computing (T-AC), 2018, DOI: 10.1109/TAFFC.2018.2817622.
  27. 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), 27(8): 3691-3702, 2018.
  28. Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, and Shuicheng Yan. Deep Recurrent Regression for Facial Landmark Detection. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018, 28(5): 1144-1157.

  29. 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.

  30. Chaolong Li#, Zhen Cui#, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang: Action-Attending Graphic Neural Network. IEEE Transactions on Image Processing (T-IP), 27(7): 3657-3670, 2018.
  31. Tong Zhang, Wneming Zheng, Zhen Cui: Spatial-Temporal Recurrent Neural Network for Emotion Analysis, IEEE Transactions on Cybernetics (T-Cyb), 49(3): 839-847, 2019.
  32. 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).
  33. 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. 
  34. 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), 25(12): 5905-5919, 2016.
  35. 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), 18(12): 2528-2536, 2016.
  36. Wei Wang, Zhen Cui, Yan Yan, Xiangbo Shu, Jiashi Feng, Shuicheng Yan and Nicu Sebe. Recurrent Face Aging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  37. 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 OTB  
  38. Zhen Cui, Hong Chang, Shiguang Shan, and Xilin Chen. Generalized Unsupervised Manifold Alignment. Neural Information Processing Systems Foundation (NIPS), 2014. Codes
  39. 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.
  40. Wen Wang, Zhen Cui, Hong Chang, Shiguang Shan and Xilin Chen. Deeply Coupled Auto-encoder Networks for Cross-view Classification. arXiv:1402.2031.
  41. 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.
  42. 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
  43. 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. )
  • Generalized Unsupervised Manifold Alignment. Codes
    • (Zhen Cui , Hong Chang, Shiguang Shan, and Xilin Chen. Generalized Unsupervised Manifold Alignment. Neural Information Processing Systems Foundation ( NIPS ), 2014).
  • Recurrent Shape Regression. Codes , 300-W Results .
    • (Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng, Wenming Zheng, Recurrent Shape Regression, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2019)
  • Recurrently Target-Attending Tracking (RTT). Results .
    • (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) ( Result , Code (coming soon …) )
    • (Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang). Spectral Filter Tracking,  IEEE Transactions on Image Processing ( T-IP ), 2019 )

TEACHING

  • Ph. D students
    • Jiatao Jiang (江家涛); Chuanwei Zhou (周传伟 *); Hui Lv (吕 辉); Wenting Zhao (赵文婷); Yinghui Sun (孙颖慧)
  • Master students
    • Chengzheng Li (李承政); Li Wei (魏 力 *); Rong Liu (刘蓉)
    • Yuan Fang (方 远 *); Xiaobing Hong (洪晓斌); Ling Zhou (周 灵); Xueya Zhang (张雪雅); Chaoqun Wang (王 超群 *)
    • Ziqiang Xu (徐自强); Xuran Xu (徐旭 冉 *); Jingshan Xu (徐静 杉); Yufei Sun (孙宇飞); binhui Liu (柳 宾 辉 *); Yun Wang (王 赟)
  • Courses
    • 2019, Algorithms Design and Analysis

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 / AAAI / ICIP / ACM MM / ACCV / …
  • Reviewer of T-PAMI, T-NNLS, T-Cyb, T-MM, T-IP, T-CSVT, PR, Neurocomputing, Journal of Computer Research and Development, Machine Vision and Applications.

 
 
Last Modified: 2020-02-24

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