I am a Lecturer (Assistant Professor) in Computer Science at the University of Reading. Prior to this, I was a Postdoctoral Researcher at the VisionCAIR lab at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Mohamed Elhoseiny. Before my time at KAUST, I held a Postdoctoral Researcher position at the Multimedia and Visual Computing (MMVC) Lab, where I worked closely with Prof. Yi Fang.

I earned my Ph.D. in 2019 from the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), under the supervision of Prof. Tianhe Chi. I also hold a Bachelor’s degree from Wuhan University, which I received in 2014.

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

Academic Service

• Journal Review:
  • TPAMI, TIP, TVCG, TEVC, TBD, CVIU, NeuroComputing, PRL, etc.
  • RSE, ISPRS JPRS, TGRS, GRSM, etc.
• Conference Review:
  • CVPR (2022/2023/2024/2025), ICCV (2021/2023), ECCV (2022/2024), NeruIPS (2023/2024), ICML(2024), ICLR (2024/2025), AAAI (2022/2023/2024), etc.

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 [project] [paper] [code] [huggingface demo]
	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 [project] [paper] [code] [huggingface demo]
	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 [paper]
	RSGPT: A Remote Sensing Vision Language Model and Benchmark. Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li*. arxiv, 2023 [project] [paper] [code]
	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 [project] [paper] [code]
	Few-shot Object Detection on Remote Sensing Images. Xiang Li#, Jingyu Deng#, Yi Fang. TGRS, 2021 [paper] [code]
	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 [paper]
	Topology Constrained Shape Correspondence. Xiang Li#, Congcong Wen#, Lingjing Wang, Yi Fang. TVCG, 2020 [paper] [code]
	Few-shot Learning of Part-specific Probability Space for 3D Shape Segmentation. Lingjing Wang#, Xiang Li#, Yi Fang. CVPR, 2020 [paper] [code]
	Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification. Congcong Wen, Lina Yang, Ling Peng, Xiang Li* ISPRS JPRS, 2020 [paper] [code]

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