63 citations · 125 across the 5 of their papers we have counts for
5 papers
A Survey on Extreme Multi-label Learning
Tong Wei, Zhen Mao, Jiang-Xin Shi +2
Multi-label learning has attracted significant attention from both academic and industry field in recent decades. Although existing multi-label learning algorithms achieved good pe…
Pressure induced superconductivity in Bi single crystals
Yufeng Li, Enyu Wang, Xiyu Zhu +1
Measurements on resistivity and magnetic susceptibility have been carried out for Bi single crystals under pressures up to 10.5GPa. The temperature dependent resistivity shows a se…
Anisotropic Superconducting Gap and Elongated Vortices with Caroli-De-Gennes-Matricon States in the New Superconductor Ta4Pd3Te16
Zengyi Du, Delong Fang, Zhenyu Wang +5
The superconducting state is formed by the condensation of a large number of Cooper pairs. The normal state electronic properties can give significant influence on the superconduct…
Pressure Tuned Enhancement of Superconductivity and Change of Ground State Properties in LaO0.5F0.5BiSe2 Single Crystals
Jianzhong Liu, Sheng Li, Yufeng Li +2
By using a hydrostatic pressure, we have successfully tuned the ground state and superconductivity in LaO0.5F0.5BiSe2 single crystals. It is found that, with the increase of pressu…
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Yu-Feng Li, Zhi-Hua Zhou
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been foun…