activity
20082023
most citedSuperconductivity induced by Ni doping in BaFeAs

287 citations · 659 across the 21 of their papers we have counts for

collaborators

21 papers

cond-mat.supr-con2023★ 106 cited

Superconductivity emerging from density-wave-like order in a correlated kagome metal

Yi Liu, Zi-Yi Liu, Jin-Ke Bao +22

Unconventional superconductivity (USC) in a highly correlated kagome system has been theoretically proposed for years, yet the experimental realization is hard to achieve. The rece…

eess.IV2023★ 5 cited

CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation

Yunjie Chen, Marius Staring, Olaf M. Neve +5

Multi-sequence magnetic resonance imaging (MRI) has found wide applications in both modern clinical studies and deep learning research. However, in clinical practice, it frequently…

cond-mat.str-el2023★ 22 cited

Annealing-induced long-range charge density wave order in magnetic kagome FeGe: fluctuations and disordered structure

Chenfei Shi, Yi Liu, Bishal Baran Maity +18

Charge density wave (CDW) in kagome materials with the geometric frustration is able to carry unconventional characteristics. Recently, a CDW has been observed below the antiferrom…

cs.DC2023

Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph

Song Yu, Shufeng Gong, Yanfeng Zhang +7

Real-world graphs are constantly evolving, which demands updates of the previous analysis results to accommodate graph changes. By using the memoized previous computation state, in…

cs.LG2023★ 1 cited

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis

Qian Tao, Zhen Wang, Wenyuan Yu +2

In recent years, a plethora of spectral graph neural networks (GNN) methods have utilized polynomial basis with learnable coefficients to achieve top-tier performances on many node…

eess.IV2023★ 8 cited

Local Implicit Neural Representations for Multi-Sequence MRI Translation

Yunjie Chen, Marius Staring, Jelmer M. Wolterink +1

In radiological practice, multi-sequence MRI is routinely acquired to characterize anatomy and tissue. However, due to the heterogeneity of imaging protocols and contra-indications…