1 citations · 1 across the 3 of their papers we have counts for
3 papers
astro-ph.SR2026
PISP: Projected-Space Inference of Stellar Parameters
Jun-Chao Liang, Yin-Bi Li, A-Li Luo +12
To improve the accuracy and efficiency of high-dimensional stellar parameter inference in large spectroscopic datasets, we propose a projection-assisted parameter-inference framewo…
astro-ph.GA2025★ 1 cited
Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration
Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13
To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…
physics.soc-ph2024
Novel approaches to urban science problems: human mobility description by physical analogy of electric circuit network based on GPS data
Zhihua Zhong, Hideki Tayakasu, Misako Takayasu
Human mobility in an urban area is complicated; the origins, destinations, and transport methods of each person differ. The quantitative description of urban human mobility has rec…