600 citations · 1.3k across the 42 of their papers we have counts for
42 papers
Basis-set-error-free RPA correlation energies for atoms based on the Sternheimer equation
Hao Peng, Sixian Yang, Hong Jiang +2
The finite basis set errors for all-electron random-phase approximation (RPA) correlation energy calculations are analyzed for isolated atomic systems. We show that, within the res…
The background model of the CUPID-Mo experiment
Mo Collaboration, C. Augier, A. S. Barabash +79
CUPID-Mo, located in the Laboratoire Souterrain de Modane (France), was a demonstrator for the next generation decay experiment, CUPID. It consisted of an array of 20 enrich…
Electric and magnetic conductivities in magnetized fermion systems
Hao-Hao Peng, Xin-Li Sheng, Shi Pu +1
In Wigner function approach with relaxation time approximation, we calculate electric and magnetic conductivities of a fermion system in the strong magnetic field. The linear respo…
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Haoyang Peng, Baopu Li, Bo Zhang +3
Point cloud based 3D deep model has wide applications in many applications such as autonomous driving, house robot, and so on. Inspired by the recent prompt learning in natural lan…
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li +16
Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A PFM (e.g., BERT, ChatGPT, and GPT-4) is trained on…
Sensitivity analysis of biological washout and depth selection for a machine learning based dose verification framework in proton therapy
Shixiong Yu, Yuxiang Liu, Zongsheng Hu +3
Dose verification based on proton-induced positron emitters is a promising quality assurance tool and may leverage the strength of artificial intelligence. To move a step closer to…