الباحثون

Bin Cao

المنشورات 3

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A self-learning scientific agent for X-ray diffraction

Bin Cao, Huichi Zhou, Runyu Yang وآخرون · 2026

A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical evidence. Here we introduce Gan Jiang, a self-learning agent for powder X-ray diffraction built on a diffraction-analysis ecosystem we developed: XMatcher, XQueryer, XDecomposer and WPEM. Together, th …

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MSTypography: Multi-character Semantic Typography via Balancing Word Legibility and Object Recognizability

Xinye Yang, Xinding Zhu, Kai Fang وآخرون · 2026

Semantic typography is a design technique where the visual representation of a word conveys its semantic meaning, while maintaining its legibility. Existing digital typography methods mainly focus on single-character scenarios. They suffer from a lack of legibility constraints and insufficient local deformation when ex …

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Harnessing Large Language Models to Compile Task-Relevant Context into Bayesian Optimisation

Zhongwei Yu, Sourabh Roy, Bin Cao وآخرون · 2026

Incorporating rich task-relevant context, such as domain knowledge and external observations, is a key capability yet remains challenging for Bayesian optimisation (BO). Recently, practitioners have started to use large language models (LLMs) to generate and execute BO programs through coding harnesses. In such emergin …

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