About me (Curriculum Vitae)

I am currently a Postdoctoral Researcher at the VisionCAIR lab at KAUST (King Abdullah University of Science and Technology), working with Prof. Mohamed Elhoseiny. Before joining KAUST, I was a Postdoctoral researcher at the MMVC (Multimedia and Visual Computing) Lab, working with Prof. Yi Fang. I got my Ph.D. degree from the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS) in 2019 , supervised by Prof. Tianhe Chi. I received my Bachelor’s degree from Wuhan University in 2014. I’m currently interested in multimodality LLM, 3D computer vision, and remote sensing.

Academic Service

  • Journal Review:
    • RSE, ISPRS JPRS, TGRS, GRSL, JSTAR, IJGI, IJDI, JARS, Sensors, AIRQ.
    • TIP, TVCG, TEVC, TBD, CVIU, NeuroComputing, PRL.
  • Conference Review:
    • CVPR (2022/2023/2024), ICCV (2021/2023), ECCV (2022/2024), NeruIPS (2023/2024), ICML(2024), ICLR (2024), AAAI (2022/2023/2024), BMVC (2020/2021/2022), WACV (2022/2023)

Selected Publications

[# denotes equal contribution, * denotes corresponding author]

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny.
arxiv, 2023

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, 2023

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

RSGPT: A Remote Sensing Vision Language Model and Benchmark.

Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li*.
arxiv, 2023

RS-CLIP: Zero Shot Remote Sensing Scene Classification via Contrastive Vision-Language Supervision.

Xiang Li, Xiang Li, Congcong Wen, Nan Zhou.
International Journal of Applied Earth Observation and Geoinformation (JAG), 2023

Few-shot Object Detection on Remote Sensing Images.

Xiang Li#, Jingyu Deng#, Yi Fang.
TGRS, 2021

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 JPRS, 2021

Topology Constrained Shape Correspondence.

Xiang Li#, Congcong Wen#, Lingjing Wang, Yi Fang.
TVCG, 2020

Few-shot Learning of Part-specific Probability Space for 3D Shape Segmentation.

Lingjing Wang#, Xiang Li#, Yi Fang.
CVPR, 2020

Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification.

Congcong Wen, Lina Yang, Ling Peng, Xiang Li*
ISPRS JPRS, 2020

Honors and Awards

  • Outstanding Reviewer for ICCV 2021.
  • Postdoc Non-travel Award, NYUAD 2020 & 2021.
  • National Scholarship, University of Chinese Academy of Sciences, 2018
  • China Scholarship Council (CSC) scholarship, 2017
  • Director’s Fund of RADI, 2017
  • Seagate Scholarship, Wuhan University, 2012
  • National Scholarship, Wuhan University, 2011