CHANG TANG

Professor, PhD Supervisor
School of Computer Science
China University of Geosciences (CUG)
IEEE Senior Member, ACM/CCF/CAAI/CSIAM Member

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

Email: tangchang[shift+2]cug.edu.cn

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:

Multi-view/modal learning and its applications
Remote sensing scene understanding
Medical data processing/Bioinformatics
Trusted AI

PROJECTS:

National Natural Science Foundation of China (General Project): PI, 2020.
Open Research Project of Key Laboratory of Information Perception and Systems for Public Security of MIIT: PI, 2020.
Open Research Project of Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging: PI, 2020.
National Natural Science Foundation of China (Youth Project): PI, 2017.
Fundamental Research Funds for the Central Universities, China University of Geosciences（Wuhan）: PI, 2017.
Open Research Project of The Hubei Key Laboratory of Intelligent Geo-Information Processing: PI, 2018.

RECENT PUBLICATIONS:

Pre-print

2024

	Weiqing Yan, Yuanyang Zhang, Chang Tang*, Wujie Zhou, Weisi Lin, "Anchor-Sharing and Clusterwise Contrastive Network for Multiview Representation Learning", IEEE Transactions on Neural Networks and Learning Systems, 2024. [CODE]
	Wenqi Yang, Minhui Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Kunlun He, "Trustworthy Multi-view Clustering via Alternating Generative Adversarial Representation Learning and Fusion", Information Fusion, 107:102323, 2024. [CODE]
	Shuhan Huang, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang*, "Hierarchical and Dynamic Graph Attention Network for Drug-disease Association Prediction", IEEE Journal of Biomedical and Health Informatics, 1-12, 2024. [CODE]
	Zixiao Jin, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang*, "Drug Side Effects Prediction via Cross Attention Learning and Feature Aggregation", Expert Systems With Applications, 248: 123346, 2024. [CODE]
	Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An, "Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion", Computers in Biology and Medicine, 169: 107904, 2024. [CODE]
	Wei Feng, Minhui Wang, Chang Tang, Weiying Xie, Xianju Li, Xiao Zheng, Jiangfeng Xu, "Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering", Engineering Applications of Artificial Intelligence, 132:107911, 2024. [CODE]
2023

	Chang Tang, Jun Wang, Xinwang Liu, Weiying Xie, Xianju Li, Wei Zhang, Xinzhong Zhu, "Spatial and Spectral Structure Preserved Self-representation for Hyperspectral Band Selection", IEEE Transactions on Geoscience and Remote Sensing, 2023. [CODE]
	Xiao He, Chang Tang*, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu, Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation, IEEE Transactions on Geoscience and Remote Sensing, 2023. [CODE]
	Jun Wang, Chang Tang*, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu, "Fast Approximated Multiple Kernel K-means", IEEE Transactions on Knowledge and Data Engineering, 2023. [CODE]
	Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang*, Zhigang Luo, Xinwang Liu, En Zhu, "Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph", IEEE Transactions on Neural Networks and Learning Systems, 2023. [CODE]
	Weiqing Yan, Long Xu, Hao Liu, Chang Tang, Wujie Zhou, "High-order Structural Relation Distillation Networks from LiDAR to Monocular Image 3D Detectors", IEEE Transactions on Intelligent Vehicles, 2023. [CODE]
	Xiao He, Chang Tang*, Xin Zou, Wei Zhang, Multispectral Object Detection via Cross-Modal Conflict-Aware Learning, ACM International Conference on Multimedia (ACM MM 2023), 2023. [CODE]
	Xin Zou, Chang Tang*, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu, DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification, Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2023. [CODE]
	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.
	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.
	Xin Zou, Chang Tang*, Xiao Zheng, Kun Sun, Wei Zhang, Deqiong Ding, "Inclusivity induced adaptive graph learning for multi-view clustering", Knowledge-Based Systems, 267:110424, 2023.
	Xin Zou, Chang Tang*, Wei Zhang, Kun Sun, Liangxiao Jiang, Hierarchical Attention Learning for Multimodal Classification, IEEE International Conference on Multimedia& Expo (ICME),2023.
	Zhenglai Li, Chang Tang*, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu. "Mutual structure learning for multiple kernel clustering", Information Sciences, 647: 119445, 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]
	Chang Tang, Xiao Zheng, Zhiguo Wan, Chengyu Hu, Wei Zhang, "Multi-level Confidence Learning for Trustworthy Multimodal Classification", AAAI Conference on Artificial Intelligence (AAAI), Accepted, 2023. [CODE]
	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, 66:152101:1–152101:17, 2023. [CODE]
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.
	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.
	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]
	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]
	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. [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(108102), 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.
	Deqiong Ding, Fei Xia, Xiaogao Yang, Chang Tang*, "Joint dictionary and graph learning for unsupervised feature selection", Applied Intelligence, DOI: https://doi.org/10.1007/s10489-019-01561-x, 2020. (通讯作者)
2019

	Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin, "Unsupervised Feature Selection via Latent Representation Learning and Manifold Regularization", Neural Networks, 117, 163-178, 2019. [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!)][bib Link]
	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: qqb3))][bib Link]
	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]