World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4974
World Ranking
12179
National Ranking
1503

Overview

Feng Jiang is affiliated with the Harbin Institute of Technology in China and has contributed extensively to the fields of computer science and engineering. Their research primarily spans computer vision and pattern recognition, biomedical engineering, artificial intelligence, radiology, nuclear medicine and imaging, as well as cognitive neuroscience.

Their work involves several specific topics, including muscle activation and electromyography studies, prosthetics and rehabilitation robotics, image and signal denoising methods, anomaly detection techniques and applications, sparse and compressive sensing techniques, topic modeling, and stroke rehabilitation and recovery.

Feng Jiang has published numerous research papers in various respected venues. Some of the recent publications include:

  • "Skin lesion segmentation via generative adversarial networks with dual discriminators," 2020, Medical Image Analysis
  • "DFD-Net: lung cancer detection from denoised CT scan image using deep learning," 2020, Frontiers of Computer Science
  • "Image Compressed Sensing Using Non-Local Neural Network," 2021, IEEE Transactions on Multimedia
  • "Improving Entity Linking by Modeling Latent Entity Type Information," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Video Compressed Sensing Using a Convolutional Neural Network," 2020, IEEE Transactions on Circuits and Systems for Video Technology

Feng Jiang frequently publishes in venues such as arXiv (Cornell University), Sensors, SSRN Electronic Journal, IEEE Transactions on Multimedia, and IEEE Transactions on Circuits and Systems for Video Technology.

The scientist regularly collaborates with several co-authors, including Chunzhi Yi, Shaohui Liu, Chifu Yang, Zhen Ding, and Baichun Wei.

Best Publications

  • Image Compressed Sensing Using Convolutional Neural Network

    Wuzhen Shi;Feng Jiang;Shaohui Liu;Debin Zhao

  • Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security

    Feng Jiang;Yunsheng Fu;B. B. Gupta;Yongsheng Liang

  • An End-to-End Compression Framework Based on Convolutional Neural Networks

    Feng Jiang;Wen Tao;Shaohui Liu;Jie Ren

  • Medical image denoising using convolutional neural network: a residual learning approach

    Worku Jifara;Feng Jiang;Seungmin Rho;Maowei Cheng

  • Detection of abnormal heart conditions based on characteristics of ECG signals

    Mohamed Hammad;Mohamed Hammad;Asmaa Maher;Kuanquan Wang;Feng Jiang

  • Scalable Convolutional Neural Network for Image Compressed Sensing

    Wuzhen Shi;Feng Jiang;Shaohui Liu;Debin Zhao

  • Deep networks for compressed image sensing

    Wuzhen Shi;Feng Jiang;Shengping Zhang;Debin Zhao

  • Medical image semantic segmentation based on deep learning

    Feng Jiang;Aleksei Grigorev;Seungmin Rho;Zhihong Tian;Zhihong Tian

  • Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares

    Shengping Zhang;Huiyu Zhou;Feng Jiang;Xuelong Li

  • Brain Image Segmentation Based on FCM Clustering Algorithm and Rough Set

    Hong Huang;Fanzhi Meng;Shaohua Zhou;Feng Jiang

  • sEMG-Based Gesture Recognition with Convolution Neural Networks

    Zhen Ding;Chifu Yang;Zhihong Tian;Chunzhi Yi

  • Multi-layered gesture recognition with Kinect

    Feng Jiang;Shengping Zhang;Shen Wu;Yang Gao

  • Image Compressed Sensing Using Non-Local Neural Network

    Unknown

  • Single image super-resolution with dilated convolution based multi-scale information learning inception module

    Wuzhen Shi;Feng Jiang;Debin Zhao

  • Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection

    Maowei Cheng;Worku J. Sori;Feng Jiang;Adil Khan

  • Convolutional Neural Networks Based Intra Prediction for HEVC

    Wenxue Cui;Tao Zhang;Shengping Zhang;Feng Jiang

  • Structural Group Sparse Representation for Image Compressive Sensing Recovery

    Jian Zhang;Debin Zhao;Feng Jiang;Wen Gao

  • Deep feature extraction and combination for synthetic aperture radar target classification

    Moussa Amrani;Feng Jiang

  • Improving Entity Linking by Modeling Latent Entity Type Information.

    Shuang Chen;Jinpeng Wang;Feng Jiang;Chin-Yew Lin

  • Very deep feature extraction and fusion for arrhythmias detection

    Moussa Amrani;Mohamed Hammad;Mohamed Hammad;Feng Jiang;Kuanquan Wang

  • ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

    Shuang Chen;Qian Liu;Zhiwei Yu;Chin-Yew Lin

  • Convolutional Neural Networks based Intra Prediction for HEVC

    Wenxue Cui;Tao Zhang;Shengping Zhang;Feng Jiang

Frequent Co-Authors

Debin Zhao
Debin Zhao Harbin Institute of Technology
Seungmin Rho
Seungmin Rho Chung-Ang University
Shengping Zhang
Shengping Zhang Harbin Institute of Technology
Zhihong Tian
Zhihong Tian Guangzhou University
Huiyu Zhou
Huiyu Zhou University of Leicester
Wen Gao
Wen Gao Peking University
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Hongxun Yao
Hongxun Yao Harbin Institute of Technology
Brij B. Gupta
Brij B. Gupta Asia University Taiwan
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology

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