Xiao An | Personal Homepage

Xiao An | 安潇🧑‍🚀

I am a Ph.D. student at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. I am a member of the EarthVision and Application (EVA) Group, advised by Prof. Wei He.

My research focuses on foundation models and large vision-language models for remote sensing, with particular interests in multimodal grounding, capability evaluation, and task-specific adaptation.

Email: anxiao@whu.edu.cn Google Scholar / Github

News

May 2026 Our work on multi-image grounding for remote sensing was accepted by ISPRS Journal of Photogrammetry and Remote Sensing.

Mar. 2026 I joined the OpenDataLab team at Shanghai Artificial Intelligence Laboratory as a research intern.

Sep. 2025 Our paper CHOICE was accepted by NeurIPS 2025.

Publications

Selected publications. See my Google Scholar profile for the complete list.

* Equal contribution. † Corresponding author. Highlighted entries are selected works.

	Beyond Single and Earthbound: Exploring Multi-Image Grounding in Remote Sensing with Large Vision-Language Models Xiao An, Chen Zhong, Jiaxing Sun, Jun Liu, Wei He† Code / Paper ISPRS JPRS 2026 MIGRANT advances multi-image grounding for remote sensing with a dedicated instruction dataset and benchmark.
	Is One-Shot In-Context Learning Helpful for Data Selection in Task-Specific Fine-Tuning of Multimodal LLMs? Xiao An, Jiaxing Sun, Ting Hu, Wei He† Paper ICME 2026 (Oral) CLIPPER uses one-shot in-context learning for efficient, training-free data selection in task-specific multimodal LLM fine-tuning.
	CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models Xiao An, Jiaxing Sun, Zihan Gui, Wei He† Code / Paper NeurIPS 2025 CHOICE provides a hierarchical benchmark for evaluating the perception and reasoning capabilities of remote sensing VLMs.
	Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity Xiao An, Wei He†, Jiaqi Zou, Guangyi Yang, Hongyan Zhang Code / Paper IEEE TGRS 2024 PIS pretrains remote sensing foundation models by promoting similarity among augmented views of each image instance.

Experience

	Wuhan University Sep. 2026 - Present Integrated M.S.-Ph.D. Student (2+4 Program) State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)
	Shanghai Artificial Intelligence Laboratory Mar. 2026 - Aug. 2026 Research Intern OpenDataLab Team
	Wuhan University Sep. 2023 - Jun. 2026 Undergraduate Student School of Electronic Information

Service and Teaching

Reviewer: IEEE Transactions on Geoscience and Remote Sensing (TGRS); Conference on Neural Information Processing Systems (NeurIPS)

Teaching Assistant: Remote Sensing Image Processing (Undergraduate Course), Fall 2025

Awards and Honors

2026: Oral Presentation, IEEE International Conference on Multimedia and Expo (ICME 2026)

2025: Excellent Youth Oral Presentation Award, The Fifth International Forum on Big Data for Sustainable Development Goals

2024: First Prize, International Graduate Workshop on Geoinformatics (IGWG 2024)

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