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Author

Chen Yang

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Sep 2026

Apple anthracnose detection by deep learning-based hyperspectral image.

The postharvest quality and safety of apples are critical to the global consumption of fruits. Early and accurate disease detection is crucial for preventing its spread and optimizing plant protection strategies. Hence, the work proposes an early detection method of apple anthracnose based on hyperspectral imaging (HSI...

Chen Yang, Chan-Jun Sun, Chen Wang et al. · 0 citations
Preprint Sep 2026

Asking the World: Generalist Physical Reasoning through Agentic World Modeling and Probing

This work introduces Asking the World (ATW), a generalist agent that constructs and interrogates task-relevant executable worlds through two adaptive stages: World Modeling calibrates a world from video, while World Probing queries, simulates, and intervenes on it to obtain question-relevant evidence.

Shen-Xiang Zeng, Chen Yang, Pei-Yao Chen et al. · 0 citations
#artificial intelligence Review Sep 2026

BlueprintAgent: Constraint-Triggered Targeted Revisits for Simulation-Ready Generation from Scanned Structural Blueprints

BlueprintAgent (BPA), a constraint-triggered multimodal agent for simulation-ready frame extraction from scanned blueprints, is presented, which treats the MLLM as the primary reader and decision maker, with OCR and computer vision supplying localized evidence.

Zhou-Yuan Xu, Chen Yang, Lin-Hao Wang et al. · 0 citations
Preprint Aug 2026

PhysMind: From Video to Executable Worlds for Training-Free Physical Reasoning

PhysMind is introduced, a training-free agentic framework that constructs one reusable, question-agnostic executable world per video that fits analytic continuous-time dynamics and latent physical parameters without unrolling a time-stepped simulator.

Chen Yang, Shenxiang Zeng, Haoyang Zhao et al. · 1 citation

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