University of Reading cookie policy

We use cookies on reading.ac.uk to improve your experience, monitor site performance and tailor content to you

Read our cookie policy to find out how to manage your cookie settings

Dr Xiang Li

dr-xiang-li portrait
 

Office

Room 156 

Building location

Polly Vacher

Areas of interest

  • Vision Language Models, Remote Sensing, 3D Computer Vision

 

Teaching

  • Big Data and Cloud Computing (2024/5 Semester 2)

Research centres and groups

 

Background

Dr. Xiang Li is a Lecturer in Computer Science at the University of Reading. Prior to this, he was a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST), where he worked with Prof. Mohamed Elhoseiny. Before that, he held a Postdoctoral Researcher position at New York University Abu Dhabi, collaborating closely with Prof. Yi Fang.

Dr. Li earned his Ph.D. in 2019 from the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (CAS), under the supervision of Prof. Tianhe Chi. He also holds a Bachelor's degree from Wuhan University, awarded in 2014.

His research interests lie at the intersection of multimodal large language models (LLMs), 3D computer vision, and remote sensing.

Academic qualifications

  • PhD, University of Chinese Academy of Sciences, China 2019
  • BSc, Wuhan University, China 2014

Websites/blogs

https://xiangli.ac.cn

Selected publications

(† equal contribution, * corresponding author)

  1. X. Li, J. Ding, M. Elhoseiny. VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding. Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
  2. X. Li†, Jian Ding†, Z. Chen, M. Elhoseiny. Uni3DL: Unified Model for 3D and Language Understanding. The European Conference on Computer Vision (ECCV), 2024.
  3. D. Zhu, J. Chen, X. Shen, X. Li, M. Elhoseiny. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models. International Conference on Learning Representations (ICLR), 2024 (>24K stars on GitHub).
  4. F. Khan†, X. Li†, A. Temple, M. Elhoseiny. FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Traits Prediction. International Conference on Computer Vision (ICCV), 2023.
  5. S. Yuan†, X. Li†, Y. Fang. 3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  6. L. Wang†, X. Li†, Y. Fang. Few-shot Learning of Part-specific Probability Space for 3D Shape Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  7. X. Li, L. Wang, Y. Fang. PC-Net: Unsupervised Point Correspondence Learning with Neural Networks. International Conference on 3D Vision (3DV), 2019.
  8. Y. Hu, J. Yuan, C. Wen, X. Lu, X. Li∗. RSGPT: A Remote Sensing Vision Language Model and Benchmark. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JPRS), under review.
  9. W. Li, J. Zhou, Y. Cao, G. Jin, X. Zhang, X. Li. InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024 (Top Journal, IF=8.2).
  10. X. Li†∗, C. Wen†, Y. Hu†, Z. Yuan, X. Zhu. Vision-Language Models in Remote Sensing: Current Progress and Future Trends. IEEE Geoscience and Remote Sensing Magazine (GRSM), 2024 (Top Journal, IF=14.6).
  11. X. Li, C. Wen, N. Zhou. RS-CLIP: Zero Shot Remote Sensing Scene Classification via Contrastive Vision-Language Supervision. International Journal of Applied Earth Observation and Geoinformation (JAG), 2023 (Top Journal, IF=7.5).
  12. L. Wang, N. Zhou, H. Huang, X. Li∗, Y. Fang. GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor. IEEE Transactions on Geosciences and Remote Sensing (TGRS), 2022 (Top Journal, IF=8.2).
  13. X. Li, L. Wang, Y. Fang. Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022 (Top Journal, IF=5.2).
  14. X. Li†, J. Deng†, Y. Fang. Few-shot Object Detection on Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021 (Top Journal, IF=8.2, ESI Highly Cited Paper).
  15. X. Li, L. Wang, M. Wang, C. Wen, N. Zhou, Y. Fang. Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JPRS), 2020 (Top Journal, IF=12.7).
  16. X. Li†, C. Wen†, L. Wang, Y. Fang. Topology Constrained Shape Correspondence. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020 (Top Journal, IF=5.2).
  17. C. Wen, L. Yang, L. Peng, X. Li∗, T. Chi. Directionally Constrained Fully Convolutional Neural Network for Airborne LiDAR Point Cloud Classification. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JPRS), 2020 (Top Journal, IF=12.7).
  18. X. Li, X. Yao, Y. Fang. Building-A-Nets: Robust Building Extraction from High-resolution Remote Sensing Images with Adversarial Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR), 2018 (Top Journal, IF=5.5).
  19. X. Li, L. Peng, X. Yao, S. Cui, Y. Hu, C. You, T. Chi. Long Short-term Memory Neural Network for Air Pollutant Concentration Predictions: Method Development and Evaluation. Environmental Pollution (EP), 2017 (Top Journal, IF=8.9, ESI Highly Cited Paper).
  20. X. Li, L. Peng, Y. Hu, J. Shao, T. Chi. Deep Learning Architecture for Air Quality Predictions. Environmental Science and Pollution Research, 2016 (IF=5.8).

Publications

Loading your publications ...