CHANG TANG

Associate Professor
School of Computer Science
China University of Geosciences (CUG)
IEEE Member, CCF Member

No. 388 Lumo Road,Wuhan, P.R. China Postcode: 430074.

Google Scholar  dblp  BIBs

Email: 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 good personality & solid mathematical & English background and happen to be interested in my research, please contact me!

ABOUT ME:

I obtained my master degree (supervised by Zhanjie Song) and PhD degree (supervised by Chunping Hou) from Tianjin University in 2016 (master-doctor continuous study program). 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 learning models for solving computer vision and data mining problems.


SOME INTERESTING PROJECTS:

  1. Online human action recognition
  2. Semantic image segmentation
  3. Salient object detection
  4. QQ农场辅助

RECENT NEWS:

  1. 2019-05-10: One co-authored paper was accepted by IJCAI 2019 (CCF A).
  2. 2019-04-22: One paper was accepted by Neural Networks (IF:7.1).
  3. 2019-04-10: One paper was accepted by IEEE Transactions on Knowledge and Data Engineering (IF:2.8).
  4. 2019-03-22: One paper was accepted by IEEE Transactions on Multimedia (IF:3.5).
  5. 2019-03-10: One paper was accepted by ICME 2019.
  6. 2019-02-25: One paper was accepted by CVPR 2019.
  7. 2019-02-02: I have been invited to be a technical program committee member (TPC) for International Conference in Computer Vision (ICCV'2019), OCT. 27--NOV. 2, 2019, Seoul, Korea.
  8. 2018-12-20: I have been invited to be a technical program committee member (TPC) for the 28th International Joint Conference on Artificial Intelligence (IJCAI’19) , August 10-16, 2019, Macao, China.
  9. 2018-12-11: One paper was accepted by IEEE Transactions on Multimedia (IF:3.5).
  10. 2018-11-20: I have been invited to be a technical program committee member (TPC) for IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019) , Long Beach, CA, June 16-21, 2019.


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.
  3. Open Research Project of The Hubei Key Laboratory of Intelligent Geo-Information Processing: PI.


RECENT PUBLICATIONS:

Pre-print


Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection.

[Codes:BaiduYun][bib]

BR2Net: Defocus Blur Detection via Bi-directional Residual Refining Network.

[Codes:BaiduYun][bib]

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features.

[Codes:BaiduYun][bib]

2019


"Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization", Neural Networks (Accepted)

[Codes:BaiduYun][bib]

Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang, "Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization", IEEE Transactions on Knowledge and Data Engineering (Accepted)

[Code][bib][DOI]

Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang, "Adaptive Hypergraph Learning for Multi-label Image Annotation", IEEE Transactions on Multimedia (Accepted)

[Code][bib][DOI]

Chang Tang, Xinwang Liu, Xinzhong Zhu, Pichao Wang, "Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-level Deep Features", ICME, 2019 (Accepted)

[Code][bib][pdf]

Chang Tang, Xinwang Liu, Xinzhong Zhu, Lizhe Wang, Albert Zomaya, "DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features", CVPR, 2019 (Accepted)

[Code][bib][pdf][Results (Extraction code: sit2)]

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao, "Late Fusion Incomplete Multi-view Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence (Accepted)

[Code][bib][pdf]

Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang and Lizhe Wang, "Learning a Joint Affinity Graph for Multiview Subspace Clustering", IEEE Transactions on Multimedia (Accepted)

[Code][bib][DOI]

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, "Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection", AAAI, 2019.

[pdf]

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao, "Efficient and Effective Incomplete Multi-view Clustering", AAAI, 2019.

[pdf]

Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen, "Dual graph regularized compact feature representation for unsupervised feature selection", Neurocomputing, 331, 77-96, 2019.

[DOI]

2018


Chang Tang, Wanqing Li, Pichao Wang, Lizhe Wang "Online Action Recognition Based on Incremental Learning of Weighted Covariance Descriptors", Information Sciences, 467, 219-237 , 2018.

[Data set][Code(Coming soon!)][bibLink]

Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu, "Consensus Learning Guided Multi-view Unsupervised Feature Selection", Knowledge-Based Systems, 160, 49-60, 2018.

[Code(Coming soon!)][bibLink]

Xinzhong Zhu*, Chang Tang*, Pichao Wang, Huiying Xu, Minhui Wang, Jie Tian, "Saliency Detection via Affinity Graph Learning and Weighted Manifold Ranking", Neurocomputing, 312, 239-250, 2018.

[Code][bib]

("*" indicates equal contribution.)
Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Ogunbona Philip, "Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks", IEEE Transactions on Multimedia(TMM), 20(5), 1051-1061, 2018.

[Codes:BaiduYun]

[Link][bib]

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), 145, 109-120, 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]

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), 56(7), 1271–1284, 2018.

[Code][bib]

2017


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]



PROFESSIONAL ACTIVITIES:

Journal Reviewer

Optics Letters (OL)
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
IEEE Transactions on Image Processing (IEEE TIP)
IEEE Transactions on Multimedia (IEEE TMM)
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS)
IEEE Signal Processing Letters(SPL)
Pattern Recognition (PR)
Multimedia Tools and Applications(MTAP)
Biomedical Optics Express(BOE)

Conference Program Committee

ICCV 2019
CVPR 2019
AAAI 2019
ICME 2018/2019
IJCAI 2018/2019
ICME 2018/2019


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