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Hangyue Zhang

Publications and source records attributed to Hangyue Zhang.

4 recordsLinked to original sources
arXiv2025

Technical Developments of DA on $\mathbb{T}^3$

We constructed a DA on $\mathbb{T}^3$, which complements the work of Gan, Li, Viana, and Yang (\cite{GanLiVianaYang2021}) by providing an example of a $C^\infty$-diffeomorphism with partial volume expansion, where $\dim(E^{cs}) = 2$. In contrast to their work, in \cite{GanLiVianaYang2021}, they provided an example of a non-invertible embedding in the case $\dim(E^{cs}) = 2$. The inverse map of the DA we constructed has a mostly expanding center (\cite{AnderssonVasquez2018}). Using a similar approach, we can also construct a (nontrivial) mixed center (\cite{MiCaoYang2017, MiCao2021}).

math.DS↗
arXiv2025

Variety of physical measures in partially hyperbolic systems with multi 1-D centers

We provide two robust examples of globally partially hyperbolic systems with a multi one-dimensional center splitting, for which all Gibbs u-states are hyperbolic and the number of physical measures is fixed. In the second example, the physical measures have different unstable indices, and the supports of those with index at least 2 can be adjusted to lie on a non-uniformly hyperbolic set using the techniques developed for the first example. Such partially hyperbolic systems were previously studied in \cite{MC25, Bur25}, where the existence and finiteness of physical measures were established under the assumption of hyperbolicity of the Gibbs $u$-states or the SRB measures, respectively.

math.DS↗
arXiv2024

In-Situ Mode: Generative AI-Driven Characters Transforming Art Engagement Through Anthropomorphic Narratives

Art appreciation serves as a crucial medium for emotional communication and sociocultural dialogue. In the digital era, fostering deep user engagement on online art appreciation platforms remains a challenge. Leveraging generative AI technologies, we present EyeSee, a system designed to engage users through anthropomorphic characters. We implemented and evaluated three modes (Narrator, Artist, and In-Situ) acting as a third-person narrator, a first-person creator, and first-person created objects, respectively, across two sessions: Narrative and Recommendation. We conducted a within-subject study with 24 participants. In the Narrative session, we found that the In-Situ and Artist modes had higher aesthetic appeal than the Narrator mode, although the Artist mode showed lower perceived usability. Additionally, from the Narrative to Recommendation session, we found that user-perceived relatability and believability within each interaction mode were sustained, but the user-perceived consistency and stereotypicality changed. Our findings suggest novel implications for applying anthropomorphic in-situ narratives to other educational settings.

cs.HC↗