@article{li2021consensus,
  title={Consensus Graph Learning for Multi-view Clustering},
  author={Li, Zhenglai and Tang, Chang and Liu, Xinwang and Zheng, Xiao and Yue, Guanghui and Zhang, Wei and Zhu, En},
  journal={IEEE Transactions on Multimedia},
  year={2021},
  publisher={IEEE}
}

@inproceedings{li2021tensor,
  title={Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data},
  author={Li, Zhenglai and Tang, Chang and Liu, Xinwang and Zheng, Xiao and Zhang, Wei and Zhu, En},
  booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
  pages={1--6},
  year={2021},
  organization={IEEE}
}

@article{tang2021cross,
  title={Cross-view locality preserved diversity and consensus learning for multi-view unsupervised feature selection},
  author={Tang, Chang and Zheng, Xiao and Liu, Xinwang and Zhang, Wei and Zhang, Jing and Xiong, Jian and Wang, Lizhe},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2021},
  publisher={IEEE}
}

@article{tang2020defusionnet,
  title={DeFusionNET: Defocus blur detection via recurrently fusing and refining discriminative multi-scale deep features},
  author={Tang, Chang and Xinwang, LIU and Zheng, Xiao and Li, Wanqing and Xiong, Jian and Wang, Lizhe and Zomaya, Albert and Longo, Antonella},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2020},
  publisher={IEEE}
}

@inproceedings{tang2020cgd,
  title={CGD: Multi-View Clustering via Cross-View Graph Diffusion.},
  author={Tang, Chang and Liu, Xinwang and Zhu, Xinzhong and Zhu, En and Luo, Zhigang and Wang, Lizhe and Gao, Wen},
  booktitle={AAAI Conference on Artificial Intelligence},
  pages={5924--5931},
  year={2020}
}

@inproceedings{tang2020r2mrf,
  title={R$^2$MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features},
  author={Tang, Chang and Liu, Xinwang and Zhu, Xinzhong and Zhu, En and Sun, Kun and Wang, Pichao and Wang, Lizhe and Zomaya, Albert},
  booktitle={AAAI Conference on Artificial Intelligence},
  volume={34},
  number={07},
  pages={12063--12070},
  year={2020}
}

@article{TangTMM2019MultiLabel, 
author={Tang, Chang and Liu, Xinwang and Wang, Pichao and Zhang, Changqing and Li, Miaomiao and Wang, Lizhe}, 
journal={IEEE Transactions on Multimedia}, 
title={Adaptive Hypergraph Embedded Semi-supervised Multi-label Image Annotation}, 
volume={21},
number={11},
pages={2837-2849},
year={2019}, 
doi={10.1109/TMM.2019.2909860}, 
}

@article{TangTKDE2019, 
author={Tang, Chang and Liu, Xinwang and Zhu, Xinzhong and Xiong, Jian and Li, Mioamiao and Xia, Jingyuan and Wang, Xiangke and Wang, Lizhe}, 
journal={IEEE Transactions on Knowledge and Data Engineering}, 
title={Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization}, 
volume={32},
number={9},
pages={1747-1760},
year={2020}, 
doi={10.1109/TKDE.2019.2911946}, 
}

@inproceedings{Tang2019CVPR,
  title={DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features},
  author={Tang, Chang and Zhu, Xinzhong and Liu, Xinwang and Wang, Lizhe and Albert, Zomaya},
  booktitle={IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  //booktitle={CVPR},
  pages={2700--2709},
  year={2019}
}

@article{TangTMM2018, 
author={Tang, Chang and Zhu, Xinzhong and Liu, Xinwang and Li, Miaomiao and Wang, Pichao and Zhang, Changqing and Wang, Lizhe}, 
journal={IEEE Transactions on Multimedia}, 
title={Learning a Joint Affinity Graph for Multiview Subspace Clustering}, 
volume={21},
number={7},
pages={1724-1736},
year={2019},
doi={10.1109/TMM.2018.2889560},
}

@article{li2018dual,
  title={Dual graph regularized compact feature representation for unsupervised feature selection},
  author={Li, Shaoyong and Tang, Chang and Liu, Xinwang and Liu, Yaping and Chen, Jiajia},
  journal={Neurocomputing},
  volume={331}, 
  pages={77-96},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{Tang2019AAAI,
  title={Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection},
  author={Tang, Chang and Zhu, Xinzhong and Liu, Xinwang and Wang, Lizhe},
  booktitle={AAAI Conference on Artificial Intelligence},
  //booktitle={AAAI},
  pages={5101--5108},
  year={2019}
}

@inproceedings{Liu2019AAAI,
  title={Efficient and Effective Incomplete Multi-view Clustering},
  author={Liu, Xinwang and Zhu, Xinzhong and Li, Miaomiao and Tang, Chang and Zhu, En and Yin, Jianping and Gao, Wen},
  booktitle={AAAI Conference on Artificial Intelligence},
  //pages={595--604},
  year={2019}
}

@article{XinwangPami2018, 
author={Liu, Xinwang and Zhu, Xinzhong and Li, Miaomiao and Wang, Lei and Tang, Chang and Yin, Jianping and Shen, Dinggang and Wang, Huaiming and Gao, Wen}, 
//journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
journal={IEEE TPAMI},
title={Late Fusion Incomplete Multi-view Clustering}, 
year={2018},
}

@article{Tang2018OnlineCov,
  title={Online Human Action Recognition based on Incremental Learning of Weighted Covariance Descriptors},
  author={Tang, Chang and Li, Wanqing and Wang, Pichao and Wang, Lizhe},
  journal={Information Sciences},
  volume={467}, 
  pages={219-237},
  year={2018},
}

@article{Tang2018MVUFS,
  title={Consensus Learning Guided Multi-view Unsupervised Feature Selection},
  author={Tang, Chang and Chen, Jiajia and Liu, Xinwang and Li, Miaomiao and Wang, Pichao and Wang, Minhui and Lu, Peng},
  journal={Knowledge-Based Systems},
  volume={160}, 
  pages={49-60},
  year={2018},
}

@article{Zhu2018Saliency,
  title={Saliency Detection via Affinity Graph Learning and Weighted Manifold Ranking},
  author={Zhu, Xinzhong and Tang, Chang and Wang, Pichao and Xu, Huiying and Wang, Minhui and Tian, Jie},
  journal={Neurocomputing},
  volume={312}, 
  pages={239-250},
  year={2018},
}

@article{Pichao2018ITMM, 
author={Wang, Pichao and Li, Wanqing and Gao, Zhimin and Tang, Chang and and Philip, Ogunbona}, 
journal={IEEE Transactions on Multimedia}, 
title={Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks}, 
year={2018}, 
volume={20}, 
number={5}, 
pages={1051-1061}, 
doi={10.1109/TMM.2018.2818329}, 
}

@article{tang2018robustSRMR,
  title={Robust Unsupervised Feature Selection via Dual Self-representation and Manifold Regularization},
  author={Tang, Chang and Liu, Xinwang and Li, Miaomiao and Wang, Pichao and Chen, Jiajia and Wang, Lizhe and Li, Wanqing},
  journal={Knowledge-Based Systems},
  volume={145},
  pages={109-120},
  year={2018},
  publisher={Elsevier}
}

@article{tang2018robust,
  title={Robust graph regularized unsupervised feature selection},
  author={Tang, Chang and Zhu, Xinzhong and Chen, Jiajia and Wang, Pichao and Liu, Xinwang and Tian, Jie},
  journal={Expert Systems with Applications},
  volume={96},
  pages={64--76},
  year={2018},
  publisher={Elsevier}
}

@article{tang2017speckle,
  title={Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation},
  author={Tang, Chang and Cao, Lijuan and Chen, Jiajia and Zheng, Xiao},
  journal={Laser Physics Letters},
  volume={14},
  number={5},
  pages={056002},
  year={2017},
  publisher={IOP Publishing}
}

@article{tang2017salient,
  title={Salient Object Detection via Weighted Low Rank Matrix Recovery},
  author={Tang, Chang and Wang, Pichao and Zhang, Changqing and Li, Wanqing},
  journal={IEEE Signal Processing Letters},
  volume={24},
  number={4},
  pages={490--494},
  year={2017},
  publisher={IEEE}
}

@article{tang2017gene,
  title={Gene selection for microarray data classification via subspace learning and manifold regularization},
  author={Tang, Chang and Cao, Lijuan and Zheng, Xiao and Wang, Minhui},
  journal={Medical \& biological engineering \& computing},
  volume={56},
  number={7},
  pages={1271–1284},
  year={2018},
  publisher={Springer}
}

@article{tang2017effective,
  title={An effective edge-preserving smoothing method for image manipulation},
  author={Tang, Chang and Hou, Chunping and Hou, Yonghong and Wang, Pichao and Li, Wanqing},
  journal={Digital Signal Processing},
  volume={63},
  pages={10--24},
  year={2017},
  publisher={Elsevier}
}

@inproceedings{wang2017scene,
  title={Scene flow to action map: A new representation for RGB-D based action recognition with convolutional neural networks},
  author={Wang, Pichao and Li, Wanqing and Gao, Zhimin and Zhang, Yuyao and Tang, Chang and Ogunbona, Philip},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  pages={595--604},
  year={2017}
}

@article{zhang2016rgb,
  title={RGB-D-based action recognition datasets: A survey},
  author={Zhang, Jing and Li, Wanqing and Ogunbona, Philip O and Wang, Pichao and Tang, Chang},
  journal={Pattern Recognition},
  volume={60},
  pages={86--105},
  year={2016},
  publisher={Elsevier}
}

@article{tang2016spectral,
  title={A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection},
  author={Tang, Chang and Wu, Jin and Hou, Yonghong and Wang, Pichao and Li, Wanqing},
  journal={IEEE Signal Processing Letters},
  volume={23},
  number={11},
  pages={1652--1656},
  year={2016},
  publisher={IEEE}
}

@article{tang2016salient,
  title={Salient object detection using color spatial distribution and minimum spanning tree weight},
  author={Tang, Chang and Hou, Chunping and Wang, Pichao and Song, Zhanjie},
  journal={Multimedia Tools and Applications},
  volume={75},
  number={12},
  pages={6963--6978},
  year={2016},
  publisher={Springer}
}

@article{wang2016action,
  title={Action recognition from depth maps using deep convolutional neural networks},
  author={Wang, Pichao and Li, Wanqing and Gao, Zhimin and Zhang, Jing and Tang, Chang and Ogunbona, Philip O},
  journal={IEEE Transactions on Human-Machine Systems},
  volume={46},
  number={4},
  pages={498--509},
  year={2016},
  publisher={IEEE}
}

@article{wang2016combining,
  title={Combining convnets with hand-crafted features for action recognition based on an HMM-SVM classifier},
  author={Wang, Pichao and Li, Zhaoyang and Hou, Yonghong and Li, Wanqing},
  journal={arXiv preprint arXiv:1602.00749},
  year={2016}
}

@inproceedings{wang2016large,
  title={Large-scale isolated gesture recognition using convolutional neural networks},
  author={Wang, Pichao and Li, Wanqing and Liu, Song and Gao, Zhimin and Tang, Chang and Ogunbona, Philip},
  booktitle={Pattern Recognition (ICPR), 2016 23rd International Conference on},
  pages={7--12},
  year={2016},
  organization={IEEE}
}

@article{tang2015depth,
  title={Depth recovery and refinement from a single image using defocus cues},
  author={Tang, Chang and Hou, Chunping and Song, Zhanjie},
  journal={Journal of Modern Optics},
  volume={62},
  number={6},
  pages={441--448},
  year={2015},
  publisher={Taylor \& Francis}
}


@inproceedings{wang2015beyond,
  title={Beyond covariance: Feature representation with nonlinear kernel matrices},
  author={Wang, Lei and Zhang, Jianjia and Zhou, Luping and Tang, Chang and Li, Wanqing},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={4570--4578},
  year={2015}
}

@inproceedings{wang2015convnets,
  title={Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring},
  author={Wang, Pichao and Li, Wanqing and Gao, Zhimin and Tang, Chang and Zhang, Jing and Ogunbona, Philip},
  booktitle={Proceedings of the 23rd ACM international conference on Multimedia},
  pages={1119--1122},
  year={2015},
  organization={ACM}
}

@article{tang2013defocus,
  title={Defocus map estimation from a single image via spectrum contrast},
  author={Tang, Chang and Hou, Chunping and Song, Zhanjie},
  journal={Optics letters},
  volume={38},
  number={10},
  pages={1706--1708},
  year={2013},
  publisher={Optical Society of America}
}