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Yujie Li

5 papers indexed

arxivcs.CVcs.AI2026-07-17

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

Yujie Li, Jiancheng Pan, Zhiwei Wei, Jiuniu Wang, Mugen Peng, Wenjia Xu

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 moments, but also track changes, memorize evolution histories, and reason across time and space. However…

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arxivcs.CV2026-07-14

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

Zhishan Zou, Guoyan Sun, Zhiwei Wei, Jiancheng Pan, Yujie Li, Mugen Peng, et al.

Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world environments. Such embodied scenarios require not only understanding the surrounding space but also maintaining a coherent representation of the agent itself. How…

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arxivcs.CVcs.AI2026-07-08

DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation

Weizhe Liu, Yunjie Wu, Xiangqian Shu, Guangwei Wang, Xiangyu Xu, Peng Li, et al.

We present DreamCharacter-1, a lightweight post-adaptation framework that calibrates pretrained 3D foundation models toward high-fidelity, production-ready 3D character generation. Building upon a 3D foundation backbone, our pipeline incorporates three task-oriented components: (…

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arxivcs.LG2026-07-02

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis

Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Yongjun Xu, Xueqi Cheng, et al.

We present Zeus, a unified tuning-free Time Series Foundation Model (TSFM) that delivers superior performance across diverse analysis tasks without any task-specific fine-tuning. Unlike prior studies that primarily focus on zero-shot forecasting but require task-specific tuning f…

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crossrefAdvanced Intelligent Systems2026-04-30

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, et al.

Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification based on advanced machine learning systems. We present a state‐of‐the‐art deep learning framework for high‐accuracy image‐based classification, leveraging a D…

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