5 citations · 6 across the 5 of their papers we have counts for
5 papers
Diversification quotient based on expectiles
Xia Han, Liyuan Lin, Hao Wang +1
A diversification quotient (DQ) quantifies diversification in stochastic portfolio models based on a family of risk measures. We study DQ based on expectiles, offering a useful alt…
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Yu Zhao, Huifeng Yin, Bo Zeng +6
Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM). Building on this momentum, Marco-o1 not only focuses on disciplines with standard answe…
Unique and Universal Effects of Oscillation in Eccentric Orbital Binary Black Hole Mergers beyond Orbital Averaging
Hao Wang, Yuan-Chuan Zou, Qing Wen Wu
We analyze 192 sets of binary black hole merger data in eccentric orbits obtained from RIT, decomposing the radiation energy into three distinct phases through time: inspiral, late…
Prediction of Mode Structure Using A Novel Physics-Embedded Neural ODE Method
Bowen Zhu, Hao Wang, Jian Wu +1
We designed a new artificial neural network by modifying the neural ordinary differential equation (NODE) framework to successfully predict the time evolution of the 2D mode profil…
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions
Hao Wang, Ruihong He, Xiaoyu Zhang +3
Deep learning techniques have been widely used in computed tomography (CT) but require large data sets to train networks. Moreover, data sharing among multiple institutions is limi…