6 citations · 7 across the 3 of their papers we have counts for
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physics.flu-dyn2026
High-fidelity Three-Dimensional Flow Field Reconstruction Driven by Turbulent Fluid Dynamics
Hanlin Kong, Jianan Wei, Yuntian Chen +2
High-fidelity three-dimensional turbulent flow fields are essential for scientific and engineering analyses, yet obtaining them through direct numerical simulation or high-resoluti…
physics.ao-ph2026
Generalizable Neural Downscaling of Earth System Model Wind Fields via Continuous Dynamics Modeling
Chenxi Yu, Jianan Wei, Hanlin Kong +3
Accurate high-resolution wind field simulations are critical for resolving fine-scale atmospheric dynamics, yet the simulation of wind fields in Earth System Models (ESMs) remains…
cs.CV2026
Hyperbolic Hierarchical Clustering for Visual Representation Learning
Jianan Wei, Guikun Chen, Zhiyuan Weng +3
We investigate the token mixer in vision backbones by revisiting clustering, one of the most classic approaches in machine learning. An effective token mixer is a fundamental compo…