6.面向不充分信息的神经网络模型研究，科技部重点研发项目。

5.机器人视觉仿真平台，横向项目。

4.机动车安全技术检验之智能审核系统审核模块，横向项目。

3.多源不确定数据挖掘方法与技术，科技部重点研发项目。

2. 基于视觉的智能无人货柜中人机交互技术的研究，江苏省双创博士。

1. 基于深度骨架模型的多模态多视角3D手势识别的研究, 国家自然科学青年基金。

Journal paper:

17. Hongsheng Xu, Zihan Chen, Yu Zhang, Xin Geng, Siya Mi, Zhihong Yang, Weakly Supervised Temporal Action Localization with Proxy Metric Modeling, Frontiers of Computer Science (FCS), 2021.

16. Siya Mi, Yu Zhang, Pose-Guided Action Recognition in Static Images using Lie-Group, Applied Intelligence, 2021.

15. 张宇,温光照,米思娅,张敏灵,耿新, 基于深度学习的二维人体姿态估计综述，软件学报，2021.

14. X. Geng, R. Zheng, J. Lv, and Y. Zhang. Multilabel Ranking with Inconsistent Rankers. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021, in press.

13. Yu Zhang, Xinyu Shi, Siya Mi, Xu Yang, Image captioning with transformer and knowledge graph, Pattern Recognition Letters, 143, 2021, 43-49.

12. X. Geng, X. Qian, Z. Huo, and Y. Zhang. Head Pose Estimation Based on Multivariate Label Distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020, in press.

11. Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng, Simultaneous 3D hand detection and pose estimation using single depth images, Pattern Recognition Letters, 140, 2020, 43-48.

10. Yu Zhang, Yin Wang, Xu-Ying Liu, Siya Mi, Min-Ling Zhang, Large-Scale Multi-Label Classification using Unknown Streaming Images, Pattern Recognition, 99, 2020.

9. H. Zhang, Y. Zhang, and X. Geng. Practical Age Estimation Using Deep Label Distribution Learning. Frontiers of Computer Science (FCS), 2020, in press.

8. Huiying Zhang, Xin Geng, Yu Zhang, Fanyong Cheng,  Recurrent age estimation, Pattern Recognition Letters, 2019, 125: 271-277.

7. Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, Li Cheng, Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups, International Journal of Computer Vision, 2017, pp. 1-25.

6. Yu Zhang, Li Cheng, Jianxin Wu, Jianfei Cai, Minh N. Do, and Jiangbo Lu, Action Recognition in Still Images with Minimum Annotation Efforts,  IEEE Transactions on Image Processing, 2016.

5. Yu Zhang, Jianxin Wu, Jianfei Cai,Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval, IEEE Transactions on Image Processing, 2016.

4. Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet-Anh Nguyen, Minh N. Do, Weakly Supervised Fine-Grained Categorization with Part-Based Image Representation, IEEE Transactions on Image Processing, 2016.

3. Jianxin Wu, Yu Zhang, Weiyao Lin, Good Practices for Learning to Recognize Actions using FV and VLAD, IEEE Transactions on Cybernetics, 2015.

2. Yu Zhang,  Jianxin Wu, Jianfei Cai, Weiyao Lin, Flexible Image Similarity Computation Using Hyper-Spatial Matching, IEEE Transactions on Image Processing, 2014.

1. Yu Zhang, Zhaoyang Lu, Jing Li, Fabric defect classification using radial basis function network, Pattern Recognition Letters, 2010.

Conference paper:

11.Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng, Deep Image Clustering with Category-Style Representation, ECCV 2020, in press.

10.Y. Gao, Y. Zhang, X. Geng, Label Enhancement for Label Distribution Learning via Prior Knowledge, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, in press.

9.Y. Liu, N. Xu, Y. Zhang, X. Geng, Label Distribution for Learning with Noisy Labels, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, in press.

8. Haiping Lu, Jianxin Wu, Yu Zhang, Learning Compact Binary Codes from Higher-Order Tensors via Free-Form Reshaping and Binarized Multilinear PCA, IJCNN 2016.

7. Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai, Exploit Bounding Box Annotations for Multi-label Object Recognition, CVPR 2016.

6. Tianyi Zhang, Yu Zhang, Jianfei Cai, Alex Kot, Efficient Object Feature Selection for Action Recognition, ICASSP, 2016.

5. Yu Zhang, Jianxin Wu, Jianfei Cai, Weakly Supervised Fine-Grained Image Categorization by Object Selection, Third Workshop on Fine-Grained Visual Categorization (FGVC3), CVPRW 2015.

4. Yu Zhang, Jianxin Wu, Jianfei Cai, Compact Representation for Image Classification: To Choose or to Compress? CVPR 2014.

3. Jianxin Wu, Yu Zhang, Weiyao Lin, Towards Good Practices for Action Video Encoding, CVPR 2014

2. Yu Zhang, Jianxin Wu, Weiyao Lin, Exclusive Visual Descriptor Quantization, ACCV 2012.

1. Yu Zhang, Zhaoyang Lu, Jing Li, Fabric defect detection and classification using gabor filters and gaussian mixture model, ACCV 2010.