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Ho Yin

As seen in: arXiv, Frontiers, MDPI, Biomed Central (BMC), BMC Genomics
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Articles

Decoding Dynamic Emotional Valence in GenAI Interactions: Insights from Covariate-Dependent Markov Chains

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By Ho Yin
| Frontiers
ORIGINAL RESEARCH article Volume 17 - 2026 | doi: 10.3389/fpsyg.2026.1783364 Reviewed by ORIGINAL RESEARCH article Article metrics View details Abstract User affective valence states evolve dynamically during human-GenAI interaction, yet existing research provides limited insight into how the quality of AI outputs is associated with these moment-to-moment emotional valence transitions.
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SOSControl: Enhancing Human Motion Generation through Saliency-Aware Symbolic Orientation and Timing Control

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By Ho Yin
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles

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By Ho Yin, Aashish Anantha
| arXiv
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