Industrial vibration monitoring is critical for predictive maintenance, but existing solutions face fundamental limitations in both sensing and inference. High-precision sensing often relies on power-hungry active hardware, while multi-source reasoning in structurally coupled environments remains challenging due to sig...
Lin-Gang Li, Shi-Han Zhao, Shen Wang et al.· Proceedings of the 32nd Annu...· 0 citations
CityWeave is proposed, a VLM-based framework for urban D2D mobility planning that integrates the Who--When--Where--How (3W1H) reasoning paradigm with a two-stage training scheme and introduces a unified User--World Grounding (UWG) module that enforces navigation-based world constraints and evaluates personalization wit...
Ao Wang, Zhiwen Chen, Shen Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Urban door-to-door (D2D) mobility planning is a core task for AI-powered smart cities, requiring models to capture individual mobility behavior and generate optimized plans under real-world urban constraints such as network connectivity and service schedules. Existing methods face fundamental limitations. Optimization-...
Ao Wang, Zhiwen Chen, Shen Wang et al.· Proceedings of the 32nd ACM...· 0 citations
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