张宇 - 东南大学 - 软件学院

个人简介

Yu Zhang (张宇) I am now an Associate Professor in Southeast University, China. My research areas include computer vision, machine learning, deep learning, object recognition, image segmentation, video analysis, human action analysis, pose estimation, medical image processing, etc. I am a member of PALM lab. Address: Room 532, School of Computer Science and Engineering, Southeast University Jiulonghu Campus, Nanjing, Jiangsu, China. Demos of our works: 1. Age estimation: 年龄识别demo.mp4 2. Hand action recognition: 手势行为识别.mp4 3. Face detection and recognition:人脸识别.mp4 Working experiences: 2017.01 - now: Associate Professor, School of Computer Science and Engineering, Southeast University, China 2015.11 - 2017.01: Postdoctoral fellow, Bioinformatics Institute, A*STAR, Singapore 2015.01 - 2015.10: Senior research engineer, Illinois at Singapore Pte Ltd, Singapore 2014.09 - 2015.01: Research associate, Nanyang Technological University, Singapore Education: 2014.8 Ph.D., Nanyang Technological University, Singapore 2004.9-2010.6, BS & MS, Xidian University, China Honors：江苏省双创博士（2018）、东南大学紫金青年学者（2019）。 Projects: 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，2019-2023。（参与） 5.机器人视觉仿真平台，2019-2020。（主持） 4.机动车安全技术检验之智能审核系统审核模块，2019。（主持） 3.多源不确定数据挖掘方法与技术，科技部重点研发项目，2019-2022。（参与） 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，2019-2021。（主持） 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，2018-2020。（主持） Misc: 2. Xiaowei Zhang, Chi Xu, Yu Zhang, Tingshao Zhu, Li Cheng, Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications, arXiv: 1701.02892v1. 1. Yu Zhang, Chi Xu, Li Cheng, Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects, arXiv: 1612.00596. Services: 青年AE for: - Frontiers of Computer Science SPC for: - ECAI 2020 Reviewers for: - ICCV, CVPR, ECCV, ACCV, AAAI, IJCAI, ECML - Transactions on image processing - Transactions on neural networks and learning systems - Pattern recognition - ...

近期论文

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Journal paper: 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.