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Xinghao Ding

Xinghao Ding

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
14377
World Ranking
3130
National Ranking
642

Overview

Xinghao Ding is affiliated with Xiamen University in China, focusing primarily on research within computer science and engineering. Their work is concentrated in several subfields including computer vision and pattern recognition, artificial intelligence, media technology, radiology, nuclear medicine and imaging, and signal processing.

Ding's research encompasses a variety of topics, notably:

  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • AI in cancer detection

The scientist has published frequently in well-known venues, including:

  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Knowledge-Based Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Several recent papers highlight the scope of Ding's work:

  • Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection, 2020, IEEE Journal of Biomedical and Health Informatics
  • Rain Streak Removal via Dual Graph Convolutional Network, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Few-shot medical image segmentation using a global correlation network with discriminative embedding, 2021, Computers in Biology and Medicine
  • TRAR: Routing the Attention Spans in Transformer for Visual Question Answering, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Xinghao Ding has collaborated extensively with other researchers. Frequent co-authors include:

  • Yue Huang
  • Xiaotong Tu
  • Yihong Zhuang
  • Zhenqi Fu
  • Yizhou Yu

Best Publications

  • Removing Rain from Single Images via a Deep Detail Network

    Xueyang Fu;Jiabin Huang;Delu Zeng;Yue Huang

  • A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation

    Xueyang Fu;Delu Zeng;Yue Huang;Xiao-Ping Zhang

  • Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal

    Xueyang Fu;Jiabin Huang;Xinghao Ding;Yinghao Liao

  • PanNet: A Deep Network Architecture for Pan-Sharpening

    Junfeng Yang;Xueyang Fu;Yuwen Hu;Yue Huang

  • A fusion-based enhancing method for weakly illuminated images

    Xueyang Fu;Delu Zeng;Yue Huang;Yinghao Liao

  • A retinex-based enhancing approach for single underwater image

    Xueyang Fu;Peixian Zhuang;Yue Huang;Yinghao Liao

  • Progressive Feature Alignment for Unsupervised Domain Adaptation

    Chaoqi Chen;Weiping Xie;Wenbing Huang;Yu Rong

  • A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation

    Xueyang Fu;Yinghao Liao;Delu Zeng;Yue Huang

  • Lightweight Pyramid Networks for Image Deraining

    Xueyang Fu;Borong Liang;Yue Huang;Xinghao Ding

  • Harmonizing Transferability and Discriminability for Adapting Object Detectors

    Chaoqi Chen;Zebiao Zheng;Xinghao Ding;Yue Huang

  • Bayesian Robust Principal Component Analysis

    Xinghao Ding;Lihan He;L. Carin

  • Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

    Chengquan Zhang;Borong Liang;Zuming Huang;Mengyi En

  • Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances

    Unknown

  • Two-step approach for single underwater image enhancement

    Xueyang Fu;Zhiwen Fan;Mei Ling;Yue Huang

  • Uncertainty Inspired Underwater Image Enhancement

    Unknown

  • A Variational Pan-Sharpening With Local Gradient Constraints

    Xueyang Fu;Zihuang Lin;Yue Huang;Xinghao Ding

  • Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

    Yue Huang;John Paisley;Qin Lin;Xinghao Ding

  • Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy

    Yue Huang;Ruiwen Wu;Ye Sun;Wei Wang

  • Single-Image-Based Rain and Snow Removal Using Multi-guided Filter

    Xianhui Zheng;Yinghao Liao;Wei Guo;Xueyang Fu

  • Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT

    Xueyang Fu;Jiye Wang;Delu Zeng;Yue Huang

  • Residual-Guide Network for Single Image Deraining

    Zhiwen Fan;Huafeng Wu;Xueyang Fu;Yue Huang

  • Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening

    Xueyang Fu;Wu Wang;Yue Huang;Xinghao Ding

  • Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

    Yue Huang;John Paisley;Qin Lin;Xinghao Ding

Frequent Co-Authors

Yue Huang
Yue Huang Xiamen University
John Paisley
John Paisley Columbia University
Xueyang Fu
Xueyang Fu University of Science and Technology of China
Xiao-Ping Zhang
Xiao-Ping Zhang University of Birmingham
Zhong Chen
Zhong Chen Nanyang Technological University
Yizhou Yu
Yizhou Yu University of Hong Kong
Rongrong Ji
Rongrong Ji Xiamen University
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Yefeng Zheng
Yefeng Zheng Tencent (China)

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