南京理工大学计算机科学与工程学院教授。 [English Version]

更多信息请参考:学院主页

Research Focus


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

Selected Publications


-[1] Jingshan Xu, Chunwei Zhou, Zhen Cui*(通讯), Chunyan Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, and Jian Yang. Scribble-Supervised Semantic Segmentation Inference. International Conference on Computer Vision(ICCV), 2021.

-[2] Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui*(通讯), Yuge Huang, Pengcheng Shen, Shaoxin Li, and Jian Yang. Wasserstein Coupled Graph Learning for Cross-Model Retrieval. International Conference on Computer Vision(ICCV), 2021.

-[3] Xiaoya Zhang, Ling Zhou, Yong Li, Zhen Cui*(通讯), Jin Xie, and Jian Yang. Transfer Vision Patterns for Multi-Task Pixel Learning, ACM Multimedia Conference(ACM MM), 2021.

-[4] Wenting Zhao, Yuan Fang, Zhen Cui*(通讯), Tong Zhang, and Jian Yang. Graph Deformer Network. International Joint Conference on Artifical Intelligence(IJCAI), 2021.

-[5] Chunyan Xu, Li Wei, Zhen Cui*(通讯), Tong Zhang, and Jian Yang. Meta-VOS: Learning to Adapt Online Target-Specific Segmentation. IEEE Transactions on Image Processing(T-IP), 2021.

-[6] Hui Lv, Chunwei Zhou, Zhen Cui*(通讯), Chunyan Xu, Yong Li, and Jian Yang. Localizing Anomalies from Weakly-Labeled Videos. IEEE Transactions on Image Processing(T-IP), 2021.

-[7] Hui Lv, Chen Chen, Zhen Cui*(通讯), Chunyan Xu, Yong Li, and Jian Yang. Normal Dynamics in Videos with Meta Prototype Network. IEEE Conference on Computer Vision and Pattern Recoginition(CVPR), 2021.

-[8] Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin, Li, Jilin Li, Feiyue Huang, Yong Li, and Zhen Cui. IEEE Conference on Computer Vision and Pattern Recoginition(CVPR), 2021.

-[9] Chunyan Xu, Rong Liu, Tong Zhang, Zhen Cui*(通讯), Jian Yang, and ChunLong Hu. Dual-Stream Structured Graph Convolution Network for Skeleton-based Action Recognition. ACM Transactions on Multimedia Computer Communications and Applications(TOMM), 2021.

-[10] Xiaobin Hong, Tong Zhang, Zhen Cui*(通讯), Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang. Graph Game Embedding. AAAI Conference on Artificial Intelligence(AAAI), 2021.

-[11] Tong Zhang, Yun Wang, Zhen Cui*(通讯), Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang. Deep Wasserstein Graph Discriminant Learning for Graph Classification. AAAI Conference on Artificial Intelligence(AAAI), 2021.

-[12] Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, and Wenming Zheng. Recurrent Shape Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2019.

-[13]Zhenyu Zhang, Zhen Cui*(通讯), 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), 2020.

-[14] Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, and Jian Yang. Spectral Filter Tracking. IEEE Transactions on Image Processing(T-IP), 2019.

-[15] Chaolong Li#, Zhen Cui# (共同一作), Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang. Action-Attending Graphic Neural Network. IEEE Transactions on Image Processing(T-IP), 2018.

-[16] Ling Zhou, Zhen Cui*(通讯), 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 Recoginition(CVPR), 2020.

-[17] Chaoqun Wang, Chunyan Xu*, Zhen Cui*(通讯), Ling Zhou, Tong Zhang, Xiaoya Zhang, and Jian Yang. Cross-Modal Pattern-Propagation for RGB-T Tracking. IEEE Conference on Computer Vision and Pattern Recoginition(CVPR), 2020.

-[18] Chunyan Xu, Chengzheng Li, Zhen Cui*(通讯), Tong Zhang, Jian Yang. Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing(T-GRS), 2020.

-[19] Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui*(通讯), and Jian Yang. Graph Wasserstein Correlation Analysis for Movie Retrieval. European Conference on Computer Vision(ECCV), 2020.

-[20] Tong Zhang, Zhen Cui*(通讯), Chunyan Xu, Wenming Zheng, Jian Yang. Variational Pathway Reasoning for EEG Emotion Recognition. AAAI Conference on Artificial Intelligence(AAAI), 2020.

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

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

-[23] Hui Lv, Chao Liu, Xiaowei Zhao, Chunyan Xu, Zhen Cui*(通讯), and Jian Yang. Lane Marking Regression from Confidence Area Detection to Field Inference. IEEE Transactions on Intelligent Vehicles(T-IV), 2020.

-[24] Jiatao Jiang, Chunyan Xu, Zhen Cui*(通讯), Tong Zhang, Wenming Zheng, Jian Yang. Walk-Steered Convolution for Graph Classification. IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2019.

-[25] Zhenyu Zhang, Zhen Cui*(通讯), 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 Recoginition(CVPR), 2019.

-[26] Jiatao Jiang, Zhen Cui*(通讯), Chunyan Xu, and Jian Yang. Gaussian-Induced Convolution for Graphs. AAAI Conference on Artificial Intelligence(AAAI), 2019.

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

-[28] 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), 2019.

-[29] Chuanwei Zhou, Chunyan Xu, Zhen Cui, Tong Zhang, Jian Yang. Self-Teaching Video Object Segmentation. IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2020.

-[30] Jingjie Yan, Guanming Lu, Xiaonan Li, Wenming Zheng, Zhen Cui, Haibo Li, Mengying Chen, Yi Liu, Jindu Zhu. PFERN: A Large Database for Pain Facial Expression Recognition of Neonate. IEEE Transactions on Affective Computing(T-AC), 2020.

-[31] 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 Developmetal Systems(T-CDS), 2020.

-[32] Xiaoyi Yin, Zhen Cui, Hong Chang, Bingpeng Ma, Shiguang Shan. Extending Generalized Unsupervised Manifold Alignment. SCIENCE CHINA Information Sciences(SCIS), 2020.

-[33] Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks. IEEE Transactions on Affective Computing(T-AC), 2020.

-[34] 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.

-[35] Tengfei Song, Weming Zheng, Suyuan Liu, Yuan Zong, and Zhen Cui. Instance-Adaptive Graph for EEG Emotion Recognition. AAAI Conference on Artificial Intelligence(AAAI), 2020.

-[36] 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.

-[37] Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, and Bin Hu. Towards Bridging Microexpressions from Different Domains. Cybernetics(T-Cyb), 2019.

-[38] 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.

Honors


2020年          入选国家人才计划

2019年          获江苏省杰出青年基金资助

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

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

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

2015年         获得中国科学院优秀博士论文奖

Research Projects


1. 国家自然科学基金面上项目,图建模学习及其视觉应用研究,62072244, 2021.01-2024.12,主持;
2. 山东省自然科学基金联合重点项目,基于图模型的AI算法综合分析及平台研究,ZR2020LZH008,2021.01-2023.12,主持;
3. 国家人才项目,2020-2023,主持,在研;
4. 江苏省杰出青年基金,动态复杂数据的表示学习理论与技术,BK20190019, 2019.07-2022.06,主持,在研;
5. 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, 2019.03-2019.12,主持,完成;
6. 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,61772276,2018.01-2021.12,主持,在研;
7. 阿里巴巴创新研究计划(AIR)项目,工业视觉中的异常目标检测关键技术研究, 2020.10-2021.10,主持;
8. 阿里巴巴创新研究计划(AIR)项目,基于人群划分的搜索用户增长策略研究,2020.10-2021.10,主持;
9. 中央军委装备发展部项目,面向复杂任务的数据表示技术,41412020101,2017.09-2020.12,主持,完成;
10. 国家自然科学基金青年项目,稀疏流行建模及其在视频人脸识别中的应用,2013.01-2015.12,主持,完成。

Services


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.