Publications (Google Scholar Profile)
[# denotes equal contribution, * denotes corresponding author]
2023
Uni3DL: Unified Model for 3D and Language Understanding .
Xiang Li, Jian Ding, Zhaoyang Chen, Mohamed Elhoseiny. arXiv.
[Project] [PDF]MINIGPT-V2: LARGE LANGUAGE MODEL AS A UNIFIED INTERFACE FOR VISION-LANGUAGE MULTI-TASK LEARNING .
Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, Mohamed Elhoseiny. arXiv.
[Project] [PDF] [Code]MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny. ICLR 2024 (>20K starts in GitHub).
[Project] [PDF] [Code]Video chatcaptioner: Towards the enriched spatiotemporal descriptions.
Jun Chen, Deyao Zhu, Killich Haydarov, Xiang Li, Mohamed Elhoseiny. arxiv.
[PDF]Vision-Language Models in Remote Sensing: Current Progress and Future Trends.
Xiang Li*#, Congcong Wen#, Yuan Hu#, Zhengpeng Yuan, Xiao Xiang Zhu. IEEE Geoscience and Remote Sensing Magazine (GRSM)， 2024.
[PDF]RSGPT: A Remote Sensing Vision Language Model and Benchmark .
Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li*. arxiv.
[PDF] [Code]RS-CLIP: Zero Shot Remote Sensing Scene Classification via Contrastive Vision-Language Supervision .
Xiang Li, Congcong Wen, Nan Zhou. International Journal of Applied Earth Observation and Geoinformation (JAG), 2023.
[PDF] [Code]FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Traits Prediction.
Faizan Khan#, Xiang Li#, Andrew Temple, Mohamed Elhoseiny. Intertional Conference on Computer Vision (ICCV) 2023, accepted.
[PDF] [Code]Few-shot object detection on aerial imagery via deep metric learning and knowledge inheritance.
Wuzhou Li, Jiawei Zhou, Xiang Li, Yi Cao, Guang Jin. International Journal of Applied Earth Observation and Geoinformation (JAG), 2023. (Highly Cited paper)
[PDF]3D Shape Contrastive Representation Learning with Adversarial Examples.
Congcong Wen, Xiang Li, Hao Huang, Yusheng Liu, Yi Fang. IEEE Transactions on Multimedia (TMM), accepted.
[PDF]MoStGAN-V: Video Generation with Temporal Motion Styles.
Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2023.
[PDF] [Code]Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes.
Xiang Li, Lingjing Wang, Yi Fang. arxiv.
[PDF]Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds.
Lingjing Wang, Xiang Li, Yi Fang. arxiv.
[PDF]
2022
GP-Aligner: Unsupervised Groupwise Non-Rigid Point Set Registration Based On Optimizable Group Latent Descriptor.
Lingjing Wang, Nan Zhou, Hao Huang, Jifei Wang, Xiang Li*, Yi Fang. IEEE Transactions on Geoscience and Remote Sensing 2022.
[PDF]Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection.
Shuaihang Yuan#, Xiang Li#, Hao Huang, Yi Fang. Asian Conference on Computer Vision (ACCV) 2022, Oral.
[PDF]Unsupervised 3D Shape Representation Learning using Normalizing Flow.
Xiang Li*, Congcong Wen#, Hao Huang, Yi Fang. Asian Conference on Computer Vision (ACCV) 2022.
[PDF]Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration.
Xiang Li, Lingjing Wang, Yi Fang. IEEE Transactions on Visualization and Graphics(TVCG) 2022.
[PDF]Few-Shot Segmentation of Remote Sensing Images using Deep Metric Learning.
Xufeng Jiang, Nan Zhou, Xiang Li*. IEEE Geosciences and Remote Sensing Letters 2022.
[PDF]
2021
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]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, 2021.
[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.
[PDF]Few-shot Object Detection on Remote Sensing Images.
Xiang Li#, Jingyu Deng#, Yi Fang. IEEE Transactions on Geoscience and Remote Sensing, 2021.
[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. (Highly Cited paper)
[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]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*, 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）