CHANG TANG

Associate Professor
School of Computer Science
China University of Geosciences (CUG)


Email: happytangchang@gmail.com;    tangchang@cug.edu.cn
QQ: 515667845
WeChat: TangChang87
I am looking for new MS/BS students to join my research project working on machine learning and computer vision. If you have a solid mathematical & English background and happen to be interested in my research, please contact me!

ABOUT ME:

I obtained my PhD degree from Tianjin University in 2016. From Sep 2014-Sep 2015, I was a visiting student in University of Wollongong, Australia. My recent research interests lie in the areas of computer vision and machine learning. I am recently interested in building machine larning models for solving computer vision problems.


RECENT NEWS:

  1. 2017-06-20: One paper was accepted by Laser Physics Letters (IF:2.537).
  2. 2017-03-03: One co-authored paper was accepted by IEEE CVPR 2017.


PROJECTS:

  1. National Natural Science Foundation of China (Youth Project): Project Leader.
  2. Fundamental Research Funds for the Central Universities, China University of Geosciences(Wuhan): Project Leader.


RECENT PUBLICATIONS:

Google Scholar

Pre-print


Online Action Recognition Based on Incremental Learning of Weighted Covariance Descriptors.

[Code]

Learning Robust Graph Regularisation for Unsupervised Feature Selection.

[Code]

Robust Unsupervised Feature Selection via Dual Self-representation and Manifold Regularization.

[Codes:BaiduYun]

Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization.

[Codes:BaiduYun]

2017


Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona, "Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks", IEEE Conference on Computer Vision and Pattern Recognition( CVPR)(Accepted), 2017.

[Code]

Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li, "Salient Object Detection via Weighted Low Rank Matrix Recovery", IEEE Signal Processing Letters (IEEE SPL)24(4), 490-494, 2017.

[Code]

Chang Tang, Chunping Hou, Yonghong Hou, Pichao Wang, Wanqing Li, "An Effective Edge-preserving Smoothing Method for Image Manipulation", Elsevier Digital Signal Processing (Elsevier DSP)10, 10-24, 2017.

[Code]

Chang Tang, Lijuan Cao, Jiajia Chen, Xiao Zheng, "Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation", Laser Physics Letters, 14(5), 2017.

[Code]

2016


Chang Tang, Jin Wu, Yonghong Hou, Pichao Wang, Wanqing Li, "A spectral and spatial approach of coarse-to-fine blurred image region detection", IEEE Signal Processing Letters (IEEE SPL), 23(11), 1652-1656, 2016.

[Codes:GitHub|BaiDuYun]

Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona, "Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks", in ChaLearn Looking at People (LAP) Challenge, ICPR2016, 2016. (rank the 2nd place)
Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu and, Chang Tang, "A Large Scale RGB-D Dataset for Action Recognition", International Workshop on Understanding Human Activities through 3D Sensors (UHA3DS workshop@ICPR2016), 2016.
Jing Zhang, Wanqing Li, Philip Ogunbona, Pichao Wang, Chang Tang, "RGB-D-based Action Recognition Datasets: A Survey", Pattern Recognition, 60(1), 86-105, 2016.
2015


Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Jing Zhang, Philip O. Ogunbona. , "ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring", ACM international conference on Multimedia(ACMM), 1119-1122, 2015.

[Code]

.
Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li, "Beyond Covariance: Feature Representation with Nonlinear Kernel matrices", IEEE International Conference on Computer Vision (ICCV), 4570-4578, 2015.

[Code]

Wang Pichao, Li Wanqing, Gao Zhimin, Zhang Jing, Chang Tang, Ogunbona Philip, "Action Recognition From Depth Maps Using Deep Convolutional Neural Networks", IEEE Transactions on Human-machine Systems, pp(99), 1-12, 2015.

[Code]

.
Chang Tang, Chunping Hou, Pichao Wang, Zhanjie Song, "Salient object detection using color spatial distribution and minimum spanning tree weight", Multimedia Tools and Applications, 75(12), 6963-6978, 2015.
2014


Chang Tang, Chunping Hou, and Zhanjie Song, "Depth recovery and refinement from a single image using defocus cues", Journal of Modern Optics, 62(3), 204-211, 2014.

[Code]

2013


Chang Tang, Chunping Hou, and Zhanjie Song, "Defocus map estimation from a single image via spectrum contrast", Optics Letters, 38(10), 1706-1708, 2013.

[Code]



RESEARCH:

, , ,

PROFESSIONAL ACTIVITIES:

Journal Reviewer

Optics Letters (OL)
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)
IEEE Signal Processing Letters(SPL)
Multimedia Tools and Applications(MTAP)
Biomedical Optics Express(BOE)



WEBSITE VISITING STATISTICS