most citedAsteroseismology of 1523 misclassified red giants using data

37 citations · 53 across the 4 of their papers we have counts for

collaborators

9 papers

astro-ph.SR2024

New Evidence of Binarity in Young α-Rich Turn-off and Subgiant Stars: Fast Rotation and Strong Magnetic Activity

Jie Yu, Luca Casagrande, Ioana Ciucă +3

Young α-rich (YAR) stars within the old Galactic thick disk exhibit a dual characteristic of relative youth determined with asteroseismology and abundance enhancement in α elements…

cs.RO2024

GuLu XuanYuan , a biomimetic Transformer that intergrates humanoid MIP, reptile UGV, and bird UAV

Le Chen, Jie Yu, XingWu Chen

This article proposes a multi habitat bio-mimetic robot, named as GuLu XuanYuan.It combines all common types of mobile robots, namely humanoid MIP, unmanned ground vehicle, and unm…

astro-ph.SR2024

Detection of Solar-like Oscillations in Sub-giant and Red Giant Stars Using 2-minute Cadence TESS Data

Jianzhao Zhou, Shaolan Bi, Jie Yu +7

Based on all 2-minute cadence light curves from Sector 1 to 60, we provide a catalog of 8,651 solar-like oscillators, including frequency at maximum power (, wi…

astro-ph.SR202411 cited

A simple method to measure numax for asteroseismology: application to 16,000 oscillating Kepler red giants

K. R. Sreenivas, Timothy R. Bedding, Yaguang Li +4

The importance of numax (the frequency of maximum oscillation power) for asteroseismology has been demonstrated widely in the previous decade, especially for red giants. With the l…

astro-ph.SR20236 cited

TESS Asteroseismic Analysis of HD 76920: The Giant Star Hosting An Extremely Eccentric Exoplanet

Chen Jiang, Tao Wu, Adina D. Feinstein +30

The Transiting Exoplanet Survey Satellite (TESS) mission searches for new exoplanets. The observing strategy of TESS results in high-precision photometry of millions of stars acros…

cs.CL20221 cited

A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search

Huijun Liu, Jie Yu, Shasha Li +2

Textual adversarial attacks expose the vulnerabilities of text classifiers and can be used to improve their robustness. Existing context-aware methods solely consider the gold labe…