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20042026
most citedReduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

401 citations

Showing 2022Show all

13 papers · 1 filter

cond-mat.quant-gas2022★ 7 cited

Phase diagram, band structure and density of states in two-dimensional attractive Fermi-Hubbard model with Rashba spin-orbit coupling

Rui Han, Feng Yuan, Huaisong Zhao

Based on the two-dimensional (2D) attractive Fermi-Hubbard model with Rashba spin-orbit coupling (SOC), the SOC strength and Zeeman field dependences of the phase diagram are inves…

eess.IV2022★ 137 cited

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

Fenghe Tang, Lingtao Wang, Chunping Ning +2

U-Net and its extensions have achieved great success in medical image segmentation. However, due to the inherent local characteristics of ordinary convolution operations, U-Net enc…

cond-mat.quant-gas2022★ 8 cited

Dynamic structure factor of one-dimensional Fermi superfluid with spin-orbit coupling

Zheng Gao, Lianyi He, Huaisong Zhao +2

We theoretically calculate the density dynamic structure factor of one-dimensional Fermi superfluid with Raman-type spin-orbit coupling, and analyze its main dynamical character du…

cond-mat.str-el2022★ 94 cited

High Resolution Polar Kerr Effect Studies of CsVSb: Tests for Time Reversal Symmetry Breaking Below the Charge Order Transition

David R. Saykin, Camron Farhang, Erik D. Kountz +8

We report high resolution polar Kerr effect measurements on CsVSb single crystals in search for signatures of spontaneous time reversal symmetry breaking below the char…

cond-mat.quant-gas2022★ 16 cited

Spin-orbital-angular-momentum-coupled quantum gases

Shi-Guo Peng, Kaijun Jiang, Xiao-Long Chen +3

We briefly review the recent progress of theories and experiments on spin-orbital-angular-momentum (SOAM)-coupled quantum gases. The coupling between the intrinsic degree of freedo…

cs.CE2022★ 68 cited

Enriched physics-informed neural networks for in-plane crack problems: Theory and MATLAB codes

Yan Gu, Chuanzeng Zhang, Peijun Zhang +1

In this paper, a method based on the physics-informed neural networks (PINNs) is presented to model in-plane crack problems in the linear elastic fracture mechanics. Instead of for…