2023
Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang*, Guanghui Yue, Liang Liao, Weisi Lin, "GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. 
Jun Wang, Chang Tang*, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Zomaya. "Efficient and Effective One-step Multi-view Clustering", IEEE Transactions on Neural Networks and Learning Systems, 2023. 
Xin Zou, Chang Tang , Xiao Zheng, Kun Sun, Wei Zhang, Deqiong Ding, "Inclusivity induced adaptive graph learning for multi-view clustering", Knowledge-Based Systems, 267:, 2023. 
Zhenglai Li, Chang Tang*, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Zomaya, "Lightweight Remote Sensing Change Detection with Progressive Feature Aggregation and Supervised Attention", IEEE Transactions on Geoscience and Remote Sensing, Accepted, 2023. [CODE] 
Xin Zou, C hang Tang*, Wei Zhang, Kun Sun, Liangxiao Jiang, Hierarchical Attention Learning for Multimodal Classification, IEEE International Conference on Multimedia& Expo (ICME),2023. 
Chang Tang, Xiao Zheng, Zhiguo Wan, Chengyu Hu, Wei Zhang, "Multi-level Confidence Learning for Trustworthy Multimodal Classification", Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. 2022 
Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu, "Unsupervised Feature Selection via Multiple Graph Fusion and Feature Weight Learning", SCIENCE CHINA Information Sciences, Accepted, 2022. [CODE] 
Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang*, "Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering", ACM International Conference on Multimedia (ACM MM), 2022. 
Chang Tang, Zhenglai Li, Weiqing Yan, Guanghui Yue, Wei Zhang, "Efficient Multiple Kernel Clustering via Spectral Perturbation", ACM International Conference on Multimedia (ACM MM), 2022. 
Zhenglai Li, Chang Tang*, Lizhe Wang, Albert Zomaya. "Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement", IEEE Transactions on Geoscience and Remote Sensing, 2022.[CODE] 
Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu, "Unified One-step Multi-view Spectral Clustering", IEEE Transactions on Knowledge and Data Engineering, Accepted, 2022. [CODE] 
Jun Wang, Chang Tang*, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Zomaya. "Region-aware Hierarchical Latent Feature Representation Learning Guided Clustering for Hyperspectral Band Clustering", IEEE Transactions on Cybernetics, 2022. [CODE] 
Jun Wang, Chang Tang*, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu. "Graph Regularized Spatial-spectral Subspace Clustering for Hyperspectral Band Selection", Neural Networks, 2022. [CODE] 
Zheng Li, Chang Tang*, Xiao Zheng, Zhenglai Li, Wei Zhang. "Unified K-means Coupled Self-representation and Neighborhood Kernel Learning for Clustering Single-cell RNA-Sequencing Data", Neurocomputing, 2022. 
Zhenglai Li, Chang Tang*, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, "High-order Correlation Preserved Incomplete Multi-view Subspace Clustering", IEEE Transactions on Image Processing, Accepted, 2022. [CODE] 
唐厂, 王俊, "基于近邻子空间划分的高光谱影像波段 选择方法", 天津大学学报(自然科学与工程 技术版), 55(3), 255-262, 2022. [CODE] 2021 
Jun Wang, Chang Tang*, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang, "Hyperspectral Band Selection via Region-aware Latent Features Fusion Based Clustering", Information Fusion (Accepted), 2021. 
Tang Chang, Liu Xinwang, Zhang Wei, Wang Lizhe, Zomaya Albert, "Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering", IJCAI 2021. 
Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, and Lizhe Wang, "Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection", IEEE Transactions on Knowledge and Data Engineering (Accepted), 2021. 
Zhenglai Li, Chang Tang*, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu, "Consensus Graph Learning for Multi-view Clustering". IEEE Transactions on Multimedia (Accepted), 2021. [Codes:BaiduYun][bib]
Zhenglai Li, Chang Tang*, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu, "Tensor-based Multi-view Block-diagonal Structure Diffusion for Clustering Incomplete Multi-view Data", IEEE ICME, 2021. [Codes:BaiduYun]
Hanyu Yang, Xutao Li, Wenhao Qiang, Yuhan Zhao, Wei Zhang*, Chang Tang*, "A network traffic forecasting method based on SA optimized ARIMA–BP neural network", Computer Networks, 193(), 2021. 2020 
Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Zomaya, Antonella Longo, "DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features", IEEE Transactions on Pattern Analysis and Machine Intelligence (Accepted), [Codes:BaiduYun][CTCUG Dataset: Baidu Yun (Extraction code:shyk)|Google Drive]|CTCUG_Results(Extraction code: kwpd)|CVPR2014_Results(Extraction code: b7i4)|DUT_Results(Extraction code: ui5e)
Chang Tang, Xinwang Liu, Shan An, Pichao Wang, "BR2Net: Defocus Blur Detection via Bidirectional Channel Attention Residual Refining Network", IEEE Transactions on Multimedia (Accepted), [Codes:BaiduYun]
Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao, "CGD: Multi-view Clustering via Cross-view Graph Diffusion", AAAI Conference on Artificial Intelligence (AAAI), 2020. [Code] 
Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Zomaya, "R2MRF: Defocus Blur Detection via Recurrently Refining Multi-scale Residual Features", AAAI Conference on Artificial Intelligence (AAAI), 2020. 
Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu, "Efficient and Effective Regularized Incomplete Multi-view Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. [DOI]
Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang, "Robust Multi-View Clustering With A Unified Weight Learning Paradigm", IEEE Access, 1-9, 2020. [DOI]
Weiqing Yan, Guanghui Yue, Yuming Fang, Hua Chen, Chang Tang, Gangyi Jiang, "Perceptual Objective Quality Assessment of Stereoscopic Stitched Images", Signal Processing, 2020. [DOI]
WeiqingYan, Guanghui Yue, Jindong Xu, Yanwei Yu, Kai Wang, Chang Tang, Xiangrong Tong, "Shape-optimizing mesh warping method for stereoscopic panorama stitching", Information Sciences, 511, 58-73, 2020. [DOI]
Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, Chang Tang, "Unsupervised feature selection via adaptive hypergraph regularized latent representation learning", Neurocomputing, 378, 79-97, 2020. [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, 32(9), 1747-1760, 2020. DOI [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, 21(11), 2837-2849, 2019. [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, 1546-1551, 2019. [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, 2700-2709, 2019. [Code][bib][pdf][Results: Baidu Yun (Extraction code: sit2)|Google Drive]
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, 21(7), 1724-1736, 2019. [Code(Extraction Code: 649k)][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, 5101-5108, 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]
Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin, "Multi-view Clustering via Late Fusion Alignment Maximization", IJCAI, 3778-3784, 2019. [pdf]
Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin, "Simultaneous Clustering and Optimization for Evolving Datasets", IEEE Transactions on Knowledge and Data Engineering, 2019. [DOI]
Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu, "Diversity and consistency learning guided spectral embedding for multi-view clustering", Neurocomputing, 370, 128-139, 2019. [DOI]
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((Extraction code: b3))][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]
[Codes:BaiduYun]
[Link][bib]
[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]
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