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, supervised by Wanqing Li. 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. 2018-01-05: One paper was accepted by Knowledge-Based Systems (IF:4.5).
  2. 2017-12-07: I have been invited to be a technical program committee member (TPC) for the IEEE International Conference on Multimedia and Expo (ICME) 2018, San Diego, USA, July 23-27, 2018.
  3. 2017-12-04: I have been invited to be a technical program committee member (TPC) for the 27th International Joint Conference on Artificial Intelligence (IJCAI’18) , Stockholm, Sweden, July 13-19, 2018.
  4. 2017-11-27: One paper was accepted by Expert Systems with Applications (IF:3.9).
  5. 2017-10-21: One paper was accepted by Medical & Biological Engineering & Computing (IF:1.9).
  6. 2017-10-20: One co-authored (Corresponding author) paper was accepted by Multimedia Tools and Applications (Springer) (IF:1.53).
  7. 2017-08-17: The project application of National Natural Science Foundation of China was approved.
  8. 2017-06-20: One paper was accepted by Laser Physics Letters (IF:2.537).
  9. 2017-03-03: One co-authored paper was accepted by IEEE CVPR 2017.


PROJECTS:

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


RECENT PUBLICATIONS:

Google Scholar

Pre-print


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

[Code][bib]

Learning Robust Graph Regularisation for Unsupervised Feature Selection.

[Code][bib]

Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization.

[Codes:BaiduYun][bib]

2018


Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li, "Robust Unsupervised Feature Selection via Dual Self-representation and Manifold Regularization", Knowledge-Based Systems(KBS), XX(X), XX-XX, 2018.

[Codes:BaiduYun]

[Link][bib]

Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian, "Robust Graph Regularized Unsupervised Feature Selection", Expert Systems With Applications(ESWA), 96(C), 64-76, 2018.

[Code]

[Link][bib]

2017


Chang Tang, Lijuan Cao, Xiao Zheng, Minhui Wang, "Gene selection for microarray data classification via subspace learning and manifold regularization", Medical & Biological Engineering & Computing(MBEC)(Accepted), 2017.

[Code][bib]

Shuang Wang, Yonghong Hou, Zhaoyang Li, Jiarong Dong, Chang Tang, "Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier", Multimedia Tools and Application, 2017 (Accepted).

[Code][bib]

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), 595-604, 2017.

[Code][bib]

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][bib]

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][bib]

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][bib]

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][bib]

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). [bib]
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. [bib]
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. [bib]
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][bib]

.
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][bib]

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][bib]

.
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. [bib]
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][bib]

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][bib]



RESEARCH:

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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)



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