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Zhiying Tu

As seen in: Nature, Wiley Online Library, arXiv
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Articles

Computer Science > Computation and Language

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By Zhiying Tu, Yongchao Xing, Yicheng Liu
| arXiv
Knowledge graph completion (KGC) aims to infer missing facts in knowledge graphs (KGs), thereby improving their completeness and supporting downstream intelligent applications. However, emerging entities and relations in real-world deployments make inductive KGC difficult, especially under few-shot and zero-shot settings.
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A user behavior inertia based spatio temporal next POI recommendation model

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By Kaiqi Zhang, Dianhui Chu, Zhiying Tu, Zihang Hong
| Nature Verified
Abstract The next POI (point-of-interest) recommendation problem is very challenging. It requires not only considering the previous state, location, and user context information, but also analyzing the user behavior. The personalization and uncertainty of user behavior are key issues affecting the accuracy of POI recommendation. Despite this, practice has shown that user behavior is driven by purpose and has certain inherent patterns, which we call behavior inertia.
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Beyond Confidence: The Rhythms of Reasoning in Generative Models

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By Zecheng Wang, Zhiying Tu, Zhanyue Qin
| arXiv
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