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:
- 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), NeruIPS (2023), 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 | |
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 | |
Vision-Language Models in Remote Sensing: Current Progress and Future Trends.Xiang Li*, Congcong Wen, Yuan Hu, Zhengpeng Yuan, Xiao Xiang Zhu.under review, 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