Publications (Google Scholar Profile)

[# denotes equal contribution, * denotes corresponding author]


2021

  • Few-Shot Segmentation of Remote Sensing Images using Deep Metric Learning.
    Xufeng Jiang, Nan Zhou, Xiang Li*. under review.

  • DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow.
    Shuaihang Yuan#, Xiang Li#, Yi Fang. under review.
    [PDF]

  • Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes.
    Xiang Li, Lingjing Wang, Yi Fang. under review.
    [PDF]

  • Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration.
    Xiang Li, Lingjing Wang, Yi Fang. under review.
    [PDF]

  • Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds.
    Lingjing Wang, Xiang Li, Yi Fang. arxiv.
    [PDF]

  • 3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation.
    Hao Huang, Xiang Li, Lingjing Wang, Yi Fang. International Conference on 3D Vision (3DV) 2021.

  • A Novel Semi-Supervised Method for Airborne LiDAR Point Cloud Classification.
    Xiang Li, Congcong Wen, Qiming Cao, Yanlei Du, Yi Fang. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, accepted.
    [PDF] [Code]

  • Accurate and efficient solution of electromagnetic scattering from randomly rough surface using MoM-SMCG with adaptive quadrature.
    Yanlei Du, Junjun Yin, Xiang Li, Fan Gao, Jian Yang. Electronics Letters.
    [PDF]

  • Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation.
    Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang. IEEE Geoscience and Remote Sensing Letters, 2021.
    [PDF]

  • Few-shot Object Detection on Remote Sensing Images.
    Xiang Li#, Jingyu Deng#, Yi Fang. IEEE Transactions on Geoscience and Remote Sensing, 2021.
    [PDF]


2020

  • Geo-parcel-based Change Detection Using Opticaland SAR Images in Cloudy and Rainy Areas.
    Nan Zhou#, Xiang Li#, Tianjun Wu, Jiancheng Luo. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(JSTAR), 2020.
    [PDF]

  • Road Extraction from Remote Sensing Images in Wildland-Urban Interface Areas.
    Ruonan Chen#, Xiang Li#, Yuan Hu, Ling Peng. IEEE Geoscience and Remote Sensing Letters(GRSL), 2020.
    [PDF]

  • Height estimation from single aerial images using a deep ordinal regression network.
    Xiang Li, Mingyang Wang, Yi Fang. IEEE Geoscience and Remote Sensing Letters(GRSL), 2020.
    [PDF]

  • Robust Image Matching By Dynamic Feature Selection.
    Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang. British Machine Vision Conference (BMVC) 2020.
    [PDF]

  • 3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction.
    Shuiahang Yuan#, Xiang Li#, Yi Fang. The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020.
    [PDF]

  • Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network.
    Congcong Wen, Xiang Li, Ling Peng, Tianhe Chi. ISPRS Journal of Photogrammetry and Remote Sensing, 2020.
    [PDF]

  • Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification.
    Xiang Li, Lingjing Wang, Mingyang Wang, Congcong Wen, Nan Zhou, Yi Fang. ISPRS Journal of Photogrammetry and Remote Sensing, 2020.
    [PDF] [Code]

  • Topology Constrained Shape Correspondence.
    Xiang Li#, Congcong Wen#, Lingjing Wang, Yi Fang. IEEE Transactions on Visualization and Graphics(TVCG), 2020.
    [PDF] [Code]

  • Few-shot Learning of Part-specific Probability Space for 3D Shape Segmentation.
    Lingjing Wang#, Xiang Li#, Yi Fang. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2020.
    [PDF]

  • Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification.
    Congcong Wen, Lina Yang, Ling Peng, Xiang Li*, Tianhe Chi. ISPRS Journal of Photogrammetry and Remote Sensing, 2020.
    [PDF] [Code]


2019

  • PC-Net: Unsupervised Point Correspondence Learning with Neural Networks.
    Xiang Li#, Lingjing Wang#, Yi Fang. 2019 International Conference on 3D Vision (3DV).
    [PDF]

  • Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired.
    Xiang Li, Hanzhang Cui, John-Ross Rizzo, Edward Wong, Yi Fang. Computer Vision Conference 2019.
    (Best student paper nomination) [PDF]

  • A novel spatiotemporal convolutional long short-term neural network for air pollution prediction.
    Congcong Wen, Shufu Liu, Xiaojing Yao, Ling Peng, Xiang Li, Yuan Hu, Tianhe Chi. Science of The Total Environment, 2019.
    (Highly Cited paper) [PDF]

  • A Sample Update-Based Convolutional Neural Network Framework for Object Detection in Large-Area Remote Sensing Images.
    Yuan Hu, Xiang Li, Nan Zhou, Lina Yang, Ling Peng, Sha Xiao. IEEE Geoscience and Remote Sensing Letters(GRSL), 2019.
    [PDF]

  • Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration.
    Jianchun Chen, Lingjing Wang, Xiang Li, Yi Fang. Advances in Neural Information Processing Systems(NeurIPS), 2019.
    [PDF] [Code]

  • Dynamic Feature Fusion for Semantic Edge Detection.
    Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng. International Joint Conferences on Artificial Intelligence(IJCAI), 2018.
    [PDF]

  • Non-Rigid Point Set Registration Networks.
    Lingjing Wang, Jianchun Chen, Xiang Li, Yi Fang. arxiv.
    [PDF]


2018

  • Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks.
    Xiang Li, Xiaojing Yao, Yi Fang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(JSTAR), 2018.
    [PDF] [Code]

  • 基于栈式自编码的上海地铁短时流量预测.
    徐逸之, 彭玲, 林晖, 李祥. 计算机工程与科学, 2018.

  • A novel evolution tree for analyzing the global energy consumption structure.
    Yuan Hu, Ling Peng, Xiang Li, Xiaojing Yao, Hui Lin, Tianhe Chi. Energy, 2018.
    [PDF]

  • 基于全卷积网络的高分辨遥感影像目标检测.
    徐逸之, 姚晓婧, 李祥*, 周楠, 胡媛. 测绘通报, 2018.


2017

  • Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation.
    Xiang Li, Ling Peng, Xiaojing Yao, Shaolong Cui, Yuan Hu, Chengzeng You, Tianhe Chi. Environmental pollution, 2017.
    (Highly Cited paper) [PDF]

  • Dynamic monitoring of the largest freshwater lake in China using a new water index derived from high spatiotemporal resolution Sentinel-1A data.
    Haifeng Tian, Wang Li, Mingquan Wu, Ni Huang, Guodong Li, Xiang Li, Zheng Niu. Remote Sensing, 2017.
    [PDF]


2016

  • Deep learning architecture for air quality predictions.
    Xiang Li, Ling Peng, Yuan Hu, Jing Shao, Tianhe Chi. Environmental Science and Pollution Research, 2016.
    [PDF]

  • 基于时空大数据的城市脉动分析研究.
    彭玲, 李祥(corresponding author), 徐逸之, 陈文建, 胡媛, 李高盛, 尤承增. 地理信息世界, 2016.

  • 基于小波分解和 ARMA 模型的空气污染预报研究.
    李祥, 彭玲, 邵静, 崔绍龙, 田海峰. 环境工程, 2016.

  • 北京市空气质量时空特征分析.
    李祥 彭玲, 池天河, 李浩川, 徐逸之. 测绘通报, 2016.


2015

  • A Novel Fuzzy Chinese Address Matching Engine Based on Full-text Search Technology.
    Xiaojing Yao, Xiang Li, Ling Peng, Tianhe Chi. The 5th International Conference on Computer Engineering and Networks, 2015.

专著

《智慧城市脉动分析理论与实践》第四章


专利

  • 空气污染物浓度预报方法及系统(CN201610875403.X,第1发明人,已授权)
  • 神经网络、遥感影像的建筑物提取方法、介质(CN201810373725.3,第1发明人,实质审查)
  • 一种空气污染物浓度预测方法(CN201510767342.0,第2发明人,实质审查)
  • 基于样本更新的卷积神经网络目标检测框架(CN201811112898.6,第3发明人,实质审查)
  • 基于空间大数据进行知识挖掘的地图可视化系统及方法(CN201510776887.8,第4发明人,实质审查)
  • 地铁短时流量预测方法及装置(CN201610830343.X,第5发明人,实质审查)