World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
27070
World Ranking
2992
National Ranking
406

Overview

Jun Cheng is affiliated with the University of Chinese Academy of Sciences in China and has an extensive research record in computer science and engineering. Their work primarily spans the fields of computer vision and pattern recognition, artificial intelligence, biomedical engineering, aerospace engineering, and control and systems engineering.

Their research focuses on topics that include human pose and action recognition, advanced image and video retrieval techniques, gait recognition and analysis, robotics and sensor-based localization, advanced neural network applications, multimodal machine learning applications, and anomaly detection techniques and applications.

Cheng's frequent publication venues demonstrate a strong presence in both academic archives and peer-reviewed journals. Notable venues include arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, and Neurocomputing.

Frequent collaborators in Cheng's body of work include Qieshi Zhang, Fusheng Hao, Ziliang Ren, Fuxiang Wu, and Lei Wang.

Prominent recent papers by Cheng include:

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition, 2021, published in Information Sciences
  • Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal, 2020, published in IEEE Internet of Things Journal
  • Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method, 2020, published in IEEE Transactions on Network Science and Engineering
  • A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications, 2022, published in IEEE Transactions on Multimedia
  • A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation

    Zaiwang Gu;Jun Cheng;Huazhu Fu;Kang Zhou

  • Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

    Huazhu Fu;Jun Cheng;Yanwu Xu;Damon Wing Kee Wong

  • Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

    Jun Cheng;Jiang Liu;Yanwu Xu;Fengshou Yin

  • Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

    Huazhu Fu;Jun Cheng;Yanwu Xu;Changqing Zhang

  • ORIGA -light : An online retinal fundus image database for glaucoma analysis and research

    Zhuo Zhang;Feng Shou Yin;Jiang Liu;Wing Kee Wong

  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging.

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles

    Zhaolong Ning;Xiping Hu;Zhikui Chen;MengChu Zhou

  • CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

    Lei Mou;Yitian Zhao;Li Chen;Jun Cheng

  • Multiview Hessian discriminative sparse coding for image annotation

    Weifeng Liu;Dacheng Tao;Jun Cheng;Yuanyan Tang

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

    Haocong Rao;Haocong Rao;Shihao Xu;Shihao Xu;Xiping Hu;Xiping Hu;Jun Cheng

  • Structure and Illumination Constrained GAN for Medical Image Enhancement.

    Yuhui Ma;Jiang Liu;Yonghuai Liu;Huazhu Fu

  • A Weighted Normalized Difference Water Index for Water Extraction using Landsat Imagery

    Qiandong Guo;Ruiliang Pu;Jialin Li;Jun Cheng

  • Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal

    Jin Zhang;Fuxiang Wu;Bo Wei;Qieshi Zhang

  • Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning

    Fusheng Hao;Fengxiang He;Jun Cheng;Lei Wang

  • Dense Dilated Network With Probability Regularized Walk for Vessel Detection

    Lei Mou;Li Chen;Jun Cheng;Zaiwang Gu

  • Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Pairwise constraints based multiview features fusion for scene classification

    Jun Yu;Dacheng Tao;Yong Rui;Jun Cheng

  • Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method

    Laisen Nie;Zhaolong Ning;Xiaojie Wang;Xiping Hu

  • Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution

    Yajun Qiu;Ruxin Wang;Dapeng Tao;Jun Cheng

  • Mobile Cyber Physical Systems: Current Challenges and Future Networking Applications

    Yanxiang Guo;Xiping Hu;Bin Hu;Jun Cheng

  • Semantic preserving distance metric learning and applications

    Jun Yu;Dapeng Tao;Jonathan Li;Jun Cheng

  • CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Dapeng Tao
Dapeng Tao Yunnan University
Xiping Hu
Xiping Hu Lanzhou University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Shenghua Gao
Shenghua Gao ShanghaiTech University
Yanwu Xu
Yanwu Xu South China University of Technology
Wei Feng
Wei Feng Tianjin University

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