The "Still Garden" series artwork takes inspiration from the nonlinear and fantastical narrative structure of the Qing Dynasty novel Jing Hua Yuan (Flowers in the Mirror) — a work known for its unpredictable scene shifts, which structurally resonate with the unpredictability of AI-generated logic. Using her self-developed AI tool Jiayu*, based on Transformer models, the artist deconstructs narrative structures by translating literary imagery into three-dimensional spatial coordinates. Through Houdini algorithms, she simulates particle motion trajectories, creating dynamic 3D point cloud landscapes that reflect the nonlinear thinking of machines while mirroring the narrative characteristics of fictional texts. The result is an immersive poetic space where AI-generated forms engage with literary imagination.

Expanding this generative logic into marine ecological research, "Still Garden #2" was specially commissioned by UCCA Lab as a site-specific work for the opening exhibition of Zhoushan Art Museum. The project explores how AI reconstructs the narrative boundaries between literature and ecology. Collaborating with a local university’s marine biology laboratory, the artist incorporated the growth equations of mussels regulating seawater temperature into the AI training data. As the algorithm analyzes these adaptive biological mechanisms, the virtual landscape’s morphology, such as coral fractal structures and mussel movement trajectories, dynamically evolves in response to temperature variables, directly influencing how the AI model generates visual forms. As a result, the AI-generated ecological transformations serve as a simulation of climate crises and an exploration of the inherent uncertainty of natural systems.

The work envisions a "sci-fi underwater world." By adjusting seawater temperature within the simulation and transforming ecological processes into perceptible visual narratives, the project creates a continuously shifting dynamic effect, allowing audiences to witness an evolving ecosystem that mirrors the fragility and unpredictability of climate change.

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