World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
35
Citations
4768
World Ranking
834
National Ranking
274

Computer Science

D-Index
36
Citations
5471
World Ranking
11269
National Ranking
1380

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Chang Tang is affiliated with the China University of Geosciences in China and has an extensive publication record primarily in the fields of Computer Science and Engineering. Their research emphasizes areas such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Media Technology, alongside contributions in Molecular Biology and Atmospheric Science.

The main research topics associated with Chang Tang include:

  • Face and Expression Recognition
  • Remote-Sensing Image Classification
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and Land Use
  • Advanced Clustering Algorithms Research
  • Advanced Computing and Algorithms

Chang Tang has published in several key academic venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems

Some of the recent papers authored or co-authored by Chang Tang reflect a focus on multi-view clustering and feature selection in machine learning contexts. These include:

  • "Unified One-Step Multi-View Spectral Clustering," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Efficient and Effective Regularized Incomplete Multi-view Clustering," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence (lead author: Xinwang Liu)
  • "Consensus Graph Learning for Multi-View Clustering," 2021, IEEE Transactions on Multimedia (lead author: Zhenglai Li)
  • "A network traffic forecasting method based on SA optimized ARIMA-BP neural network," 2021, Computer Networks (lead author: Hanyu Yang)

Their frequent collaborators include researchers such as Xinwang Liu, Xiao Zheng, Wei Zhang, Zhenglai Li, and En Zhu. These co-authors have worked extensively with Chang Tang on various projects related to clustering algorithms, pattern recognition, and multi-view learning frameworks.

Best Publications

  • Action Recognition From Depth Maps Using Deep Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Jing Zhang

  • Late Fusion Incomplete Multi-View Clustering

    Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

  • RGB-D-based action recognition datasets

    Jing Zhang;Wanqing Li;Philip O. Ogunbona;Pichao Wang

  • Consensus Graph Learning for Multi-view Clustering

    Zhenglai Li;Chang Tang;Xinwang Liu;Xiao Zheng

  • Learning a Joint Affinity Graph for Multiview Subspace Clustering

    Chang Tang;Xinzhong Zhu;Xinwang Liu;Miaomiao Li

  • Efficient and Effective Regularized Incomplete Multi-View Clustering

    Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

  • Multi-view Clustering via Late Fusion Alignment Maximization

    Siwei Wang;Xinwang Liu;En Zhu;Chang Tang

  • Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection

    Chang Tang;Xiao Zheng;Xinwang Liu;Wei Zhang

  • A network traffic forecasting method based on SA optimized ARIMA–BP neural network

    Hanyu Yang;Xutao Li;Wenhao Qiang;Yuhan Zhao

  • Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Yuyao Zhang

  • CGD: Multi-View Clustering via Cross-View Graph Diffusion

    Chang Tang;Xinwang Liu;Xinzhong Zhu;En Zhu

  • Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization

    Chang Tang;Xinwang Liu;Xinzhong Zhu;Jian Xiong

  • Robust unsupervised feature selection via dual self-representation and manifold regularization

    Chang Tang;Xinwang Liu;Miaomiao Li;Pichao Wang

  • ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Unsupervised feature selection via latent representation learning and manifold regularization.

    Chang Tang;Meiru Bian;Xinwang Liu;Miaomiao Li

  • Defocus map estimation from a single image via spectrum contrast.

    Chang Tang;Chunping Hou;Zhanjie Song

  • Large-scale Isolated Gesture Recognition using Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Song Liu;Zhimin Gao

  • Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices

    Lei Wang;Jianjia Zhang;Luping Zhou;Chang Tang

  • Consensus learning guided multi-view unsupervised feature selection

    Chang Tang;Jiajia Chen;Xinwang Liu;Miaomiao Li

  • Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

Frequent Co-Authors

Xinwang Liu
Xinwang Liu National University of Defense Technology
Wanqing Li
Wanqing Li University of Wollongong
Philip Ogunbona
Philip Ogunbona University of Wollongong
Lizhe Wang
Lizhe Wang China University of Geosciences
Changqing Zhang
Changqing Zhang Tianjin University
Jiyuan Liu
Jiyuan Liu Chinese Academy of Sciences
Chunping Hou
Chunping Hou Tianjin University
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Dinggang Shen
Dinggang Shen ShanghaiTech University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney

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