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:
    • 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.

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*

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