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Ke Yang

4 papers indexed

arxivcs.CV2026-07-22

Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?

Qiwei Ma, Chunping Qiu, Xinjun Cheng, Xiaoyu Zhang, Puhong Duan, Ke Yang, et al.

The rapid development of multimodal large language models (MLLMs) has introduced a flexible paradigm for remote sensing image scene understanding (RSISU), enabling natural-language interaction with remote sensing imagery. However, a systematic understanding of the capability boun…

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arxivcs.CV2026-07-22

Not All Patches are Equal: Sampling Matters for Visible-Infrared Pre-Training

Qiwei Ma, Bin Deng, Junjie Zhu, Qiangjuan Huang, Puhong Duan, Ke Yang, et al.

Visible-infrared (VIS-IR) alignment is a key pre-training task for robust multi-sensor perception. Most existing methods use uniform patch-wise contrastive learning, but this can be unreliable in VIS-IR data because imaging-physics differences make some spatially paired regions i…

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arxivcs.CRcs.AIcs.HCcs.LG2026-07-03

PromptPET: Privacy-Utility Optimized Prompt Obfuscation

Ke Yang, Olivia Figueira, Umar Iqbal, Athina Markopoulou

Privacy is an important challenge when users interact with AI chatbots, since users may share sensitive information, explicitly or implicitly, and AI chatbots can use this information for user profiling. In this paper, we aim to protect user privacy via a user-side mechanism that…

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crossrefMachines2026-04-06

Hybrid-Mechanism Deep Learning Modeling for Machine Tool Thermal Error: Robust Prediction via Few-Sample Learning

Hongru Chen, Yubin Huang, Chaochao Qiu, Xueyan Ning, Pingjiang Wang, Ke Yang

To address spindle thermal error in precision machining, this study proposes a hybrid modeling method. It combines a physical model for linear deformation with a GAT-LSTM network. Experiments show the hybrid model achieved RMSE/MAE of 4.6/4.0 µm under full training (12 conditions…

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