姓 名 崔振 性 别 男
出生年月 1981年4月 籍贯
民 族 汉族 政治面貌 党员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博士生导师
导师类型 校内 兼职导师 否
行政职务 Email zhen.cui@njust.edu.cn
工作单位 计算机学院 邮政编码
通讯地址
单位电话 **-4034
个人主页 http://aip.seu.edu.cn/en/zcui/


指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向 主要方向：模式识别、计算机视觉、机器学习。目前主要研究面向大数据的深度学习理论与技术，其应用主要面向图像/视频分析与处理等领域。



工作经历
201704-至今， 南京理工大学，教师
201604-201703， 东南大学，教师
201409-201511，新加坡国立大学，博士后
201406-201412，新加坡南洋理工大学，访问****

教育经历
200907-201407，中国科学院计算技术研究所，博士研究生

获奖、荣誉称号
2015年，获得中国科学院优秀博士论文奖
2016年，多模态交互国际会议(ICMI)中获得国际情感识别大赛季军
2017年，人脸和手势自动识别国际会议（FG）中获得表情识别与分析竞赛冠军
2019年，国际顶级会议CVPR遥感图像目标检测挑战赛冠军和亚军各一项

社会、学会及学术兼职
Reviewer of TPAMI, TNNLS, TMM, TIP, TCSVT, Neurocomputing, etc.
2017, Reviewer of ICDM; 2016, Reviewer of NIPS; 2015, Reviewer of CVPR; 2014, Reviewer of ACM Multimedia.
2013, 2014, 2015, PC member of Chinese Conference on Biometric Recognition.

科研项目
江苏省****基金，动态复杂数据的表示学习理论与技术，BK**, 2019/07-2022/06，主持，在研
腾讯AI Lab犀牛鸟专项，基于元学习的视频人脸检测与识别研究，JR201922， 2019.03-~, 主持，在研
国家自然科学基金面上项目，**，递归建模理论与方法及其在人脸分析中的应用研究，2018.01-2021.12，主持，在研
装备预研共用技术项目，xxxxxx, 2017年-2019年， 主持，在研
国家自然科学基金青年项目，**， 稀疏流形建模及其在视频人脸识别中的应用，2013/01-2015/12,已结题，主持
国家自然科学基金面上项目，**， 面向鲁棒跟踪的目标表观建模、搜索与更新关键算法研究，2016/01-2019/12，已结题，参与
国家自然科学基金重大项目子课题，**，图像视频的群体数据协同结构化表达与处理，2014/01-2018/12，已结题，参与

发表论文
代表性论文：（*通讯作者，#共同一作）
- Graph Wasserstein Correlation Analysis for Movie Retrieval. European Conference on Computer Vision (ECCV), 2020, Accepted.
- Yang Li, Lei Wang, Wenming Zheng, Yuan Zong, Lei Qi, Zhen Cui, Tong Zhang, Tengfei Song. A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems (T-CDS), 2020. Accepted.
- Xiaoyi Yin, Zhen Cui, Hong Chang, Bingpeng Ma, Shiguang Shan. Extending Generalized Unsupervised Manifold Alignment. SCIENCE CHINA Information Sciences (SCIS), 2020. Accepted.
- Ling Zhou, Zhen Cui*, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, and Jian Yang. Pattern-Structure Diffusion for Multi-Task Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
- Chaoqun Wang, Chunyan Xu*, Zhen Cui*, Ling Zhou, Tong Zhang, Xiaoya Zhang, and JianYang. Cross-Modal Pattern-Propagation for RGB-T Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
- 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.
- 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.
-Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, and Guoying Zhao. Cross-Database Micro-Expression Recognition: A Benchmark, IEEE Transactions on Knowledge and Data Engineering (T-KDE), 2020. DOI: 10.1109/TKDE.2020.**.
- 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.**.
- 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.**.
- Tengfei Song, Weming Zheng, Suyuan Liu, Yuan Zong, and Zhen Cui. Instance-Adaptive Graph for EEG Emotion Recognition. AAAI, 2020.
- Tong Zhang, Zhen Cui*, Chunyan Xu, Wenming Zheng, Jian Yang. Variational Pathway Reasoning for EEG Emotion Recognition. AAAI, 2020.
- 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.**.
- 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.
- 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.**.
- 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.
- 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.**.
- 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, 2019. Result, Code(coming soon …)
- 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.**.
- Jiatao Jiang, Zhen Cui*, Chunyan Xu, Jian Yang. Gaussian-Induced Convolution for Graphs. AAAI Conference on Artificial Intelligence (AAAI), 2019.
- 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.**
- 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.
- Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang. Context-Dependent Diffusion Network for Visual Relationship Detection. ACM Multimedia Conference (ACM MM), 2018.
- 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.**.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.**.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- Zhen Cui, Shengtao Xiao, Jiashi Feng and Shuicheng Yan. Recurrently Target-Attending Tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
- Zhen Cui, Hong Chang, Shiguang Shan, and Xilin Chen. Generalized Unsupervised Manifold Alignment. Neural Information Processing Systems Foundation (NIPS), 2014.
- 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.
- Wen Wang, Zhen Cui, Hong Chang, Shiguang Shan and Xilin Chen. Deeply Coupled Auto-encoder Networks for Cross-view Classification. arXiv:1402.2031.
- 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.
- 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
- 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.


我的团队
每年招收博士1~2名，硕士3~5名，欢迎报考！