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Computer Science

D-Index
63
Citations
16709
World Ranking
2746
National Ranking
374

Overview

Shiming Xiang is affiliated with the Chinese Academy of Sciences in China and has an extensive publication record primarily in computer science and engineering. Their research encompasses several specialized areas with a focus on computer vision, artificial intelligence, and signal processing.

Their recent publications include the following papers:

  • "Spatio-Temporal Graph Structure Learning for Traffic Forecasting," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review," 2024, Remote Sensing
  • "Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction," 2021, Neurocomputing
  • "CAN," 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Pro-Tuning: Unified Prompt Tuning for Vision Tasks," 2023, IEEE Transactions on Circuits and Systems for Video Technology

The scientist collaborates frequently with several co-authors, including:

  • Chunhong Pan
  • Gaofeng Meng
  • Bolin Ni
  • Chunxia Zhang
  • Chunlei Huo

Shiming Xiang's work has been published notably in venues such as:

  • arXiv (Cornell University)
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing

The main fields of study are:

  • Computer Science
  • Engineering

Subfields of study within these disciplines include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Signal Processing
  • Atmospheric Science

The core research topics covered by Shiming Xiang involve:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Traffic Prediction and Management Techniques
  • Remote-Sensing Image Classification
  • Advanced Image Processing Techniques

Best Publications

  • Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

    Gaofeng Meng;Ying Wang;Jiangyong Duan;Shiming Xiang

  • Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu;Bin Fan;Shiming Xiang;Chunhong Pan

  • Learning a Mahalanobis distance metric for data clustering and classification

    Shiming Xiang;Feiping Nie;Changshui Zhang

  • Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

    Xueyun Chen;Shiming Xiang;Cheng-Lin Liu;Chun-Hong Pan

  • Face detection based on multi-block LBP representation

    Lun Zhang;Rufeng Chu;Shiming Xiang;Shengcai Liao

  • AugFPN: Improving Multi-Scale Feature Learning for Object Detection

    Chaoxu Guo;Bin Fan;Qian Zhang;Shiming Xiang

  • Deep Adaptive Image Clustering

    Jianlong Chang;Lingfeng Wang;Gaofeng Meng;Shiming Xiang

  • Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

    Shiming Xiang;Feiping Nie;Gaofeng Meng;Chunhong Pan

  • Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

    Guangliang Cheng;Ying Wang;Shibiao Xu;Hongzhen Wang

  • Trace ratio criterion for feature selection

    Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

  • DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

    Yongcheng Liu;Bin Fan;Gaofeng Meng;Jiwen Lu

  • Spectral Unmixing via Data-Guided Sparsity

    Feiyun Zhu;Ying Wang;Bin Fan;Shiming Xiang

  • Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

    Yongcheng Liu;Bin Fan;Lingfeng Wang;Jun Bai

  • Structured Sparse Method for Hyperspectral Unmixing

    Feiyun Zhu;Ying Wang;Shiming Xiang;Bin Fan

  • Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

    Cuicui Kang;Shiming Xiang;Shengcai Liao;Changsheng Xu

  • Spatio-Temporal Graph Structure Learning for Traffic Forecasting

    Qi Zhang;Jianlong Chang;Gaofeng Meng;Shiming Xiang

  • A unified framework for semi-supervised dimensionality reduction

    Yangqiu Song;Feiping Nie;Changshui Zhang;Shiming Xiang

  • Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images

    Hongzhen Wang;Ying Wang;Qian Zhang;Shiming Xiang

  • Edge-Directed Single-Image Super-Resolution Via Adaptive Gradient Magnitude Self-Interpolation

    Lingfeng Wang;Shiming Xiang;Gaofeng Meng;Huaiyu Wu

  • GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction.

    Shen Fang;Qi Zhang;Gaofeng Meng;Shiming Xiang

  • Data guided Sparse Method for Hyperspectral Unmixing.

    Feiyun Zhu;Ying Wang;Gaofeng Meng;Bin Fan

Frequent Co-Authors

Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Changshui Zhang
Changshui Zhang Tsinghua University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Bin Fan
Bin Fan Carnegie Mellon University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Shengcai Liao
Shengcai Liao United Arab Emirates University
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Xinchao Wang
Xinchao Wang National University of Singapore

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