works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
most citedRS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

2 citations · 2 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV2026

GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing

Yujie Li, Jiancheng Pan, Zhiwei Wei +3

Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…

cs.CV2026

Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence

Zhishan Zou, Guoyan Sun, Zhiwei Wei +4

The paper presents SIS-Bench, a benchmark for assessing UAV embodied spatial intelligence that jointly evaluates spatial cognition and self‑awareness across perception, memory, and…

cs.CV20262 cited

RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

Wenjia Xu, Zijian Yu, Boyang Mu +3

Recent advances in Multimodal Large Language Models (MLLMs) have shown promise for remote sensing tasks such as visual question answering and scene understanding. However, existing…

cs.LG2026

Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling

Yujie Li, Jiuniu Wang, Mugen Peng +2

Long-horizon Flexible Job-Shop Scheduling~(FJSP) presents a formidable combinatorial challenge due to complex, interdependent decisions spanning extended time horizons. While learn…

cs.CV2026

BTCChat: Advancing Remote Sensing Bi-temporal Change Captioning with Multimodal Large Language Model

Yujie Li, Wenjia Xu, Yuanben Zhang +2

Bi-temporal satellite imagery supports critical applications such as urbanization monitoring and disaster assessment. Although powerful multimodal large language models~(MLLMs) hav…

eess.SP2025

Online Specific Emitter Identification via Collision-Alleviated Signal Hash

Hongyu Wang, Wenjia Xu, Guangzuo Li +4

Specific Emitter Identification (SEI) has been widely studied, aiming to distinguish signals from different emitters given training samples from those emitters. However, real-world…