Associate Professor School of Computer Science China University of Geosciences (CUG)
|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!|
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 and data mining problems.
|Adaptive Hypergraph Learning for Multi-label Image Annotation.|
|Learning Joint Affinity Graph for Multi-view Subspace Clustering.|
|Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.|
|Online Action Recognition Based on Incremental Learning of Weighted Covariance Descriptors.||Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization.|
|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, XX, XXX-XXX, 2018. [Link][bib]|
|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. [Link][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.
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.
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.
|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.|
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).
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.
|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.|
|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.|
|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.|
|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.|
|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]|
|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.|
|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.|
|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.|
|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]|
|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.|
|Chang Tang, Chunping Hou, and Zhanjie Song, "Defocus map estimation from a single image via spectrum contrast", Optics Letters, 38(10), 1706-1708, 2013.|
|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)|
Conference Program Committee
Pichao Wang Xinwang Liu Changqing Zhang