output
20022026
most citedNanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity

327 citations

Showing 2021Show all

18 papers · 1 filter

cs.LG2021★ 2 cited

SSDL: Self-Supervised Dictionary Learning

Shuai Shao, Lei Xing, Wei Yu +3

The label-embedded dictionary learning (DL) algorithms generate influential dictionaries by introducing discriminative information. However, there exists a limitation: All the labe…

quant-ph2021★ 17 cited

Quantum algorithms for the generalized eigenvalue problem

Jin-Min Liang, Shu-Qian Shen, Ming Li +1

The generalized eigenvalue (GE) problems are of particular importance in various areas of science engineering and machine learning. We present a variational quantum algorithm for f…

cs.CV2021★ 30 cited

MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation

Yimin Dou, Kewen Li, Jianbing Zhu +3

Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, trainin…

astro-ph.HE2021★ 89 cited

Potential PeVatron supernova remnant G106.3+2.7 seen in the highest-energy gamma rays

M. Amenomori, Y. W. Bao, X. J. Bi +92

Cosmic rays (protons and other atomic nuclei) are believed to gain energies of petaelectronvolts (PeV) and beyond at astrophysical particle accelerators called 'PeVatrons' inside o…

cs.CV2021★ 37 cited

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Shuai Shao, Lei Xing, Yan Wang +4

Few-shot learning (FSL) aims to address the data-scarce problem. A standard FSL framework is composed of two components: (1) Pre-train. Employ the base data to generate a CNN-based…

nucl-th2021★ 14 cited

Nucleon momentum distribution of from the axially deformed relativistic mean-field model with nucleon--nucleon correlations

Xuezhi Wang, Qinglin Niu, Jinjuan Zhang +4

Nucleon momentum distribution (NMD), particularly its high-momentum components, is essential for understanding the nucleon--nucleon () correlations in nuclei. Herein, we deve…

physics.ins-det2021★ 13 cited

A 500 MS/s waveform digitizer for PandaX dark matter experiments

Changda He, Jianglai Liu, Xiangxiang Ren +8

Waveform digitizers are key readout instruments in particle physics experiments. In this paper, we present a waveform digitizer for the PandaX dark matter experiments. It supports…

nucl-th2021★ 5 cited

Extraction of the second and fourth radial moments of nuclear charge density from the elastic electron-nucleus scattering

Jian Liu, Xiaoting Liu, Xuezhi Wang +3

The expression for the radial moments of the nuclear charge density has been discussed under the plane wave Born approximation (PWBA) method r…

astro-ph.HE2021★ 27 cited

Gamma-ray Observation of the Cygnus Region in the 100 TeV Energy Region

M. Amenomori, Y. W. Bao, X. J. Bi +110

We report observations of gamma-ray emissions with energies in the 100 TeV energy region from the Cygnus region in our Galaxy. Two sources are significantly detected in the directi…

astro-ph.HE2021★ 234 cited

First Detection of sub-PeV Diffuse Gamma Rays from the Galactic Disk: Evidence for Ubiquitous Galactic Cosmic Rays beyond PeV Energies

M. Amenomori, Y. W. Bao, X. J. Bi +92

We report, for the first time, the long-awaited detection of diffuse gamma rays with energies between 100 TeV and 1 PeV in the Galactic disk. Particularly, all gamma rays above 398…

cs.CV2021★ 49 cited

Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels

YiMin Dou, Kewen Li, Jianbing Zhu +2

Detection faults in seismic data is a crucial step for seismic structural interpretation, reservoir characterization and well placement. Some recent works regard it as an image seg…

cs.CV2021★ 1 cited

Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition

Jian Pang, Dacheng Zhang, Huafeng Li +2

In a conventional domain adaptation person Re-identification (Re-ID) task, both the training and test images in target domain are collected under the sunny weather. However, in rea…

cs.DC2021★ 40 cited

ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility

Zhenlong Li, Xiao Huang, Tao Hu +3

In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scala…

eess.SP2021★ 20 cited

Capacitive imaging using fused amplitude and phase information for improved defect detection

Silvio Amato, David Hutchins, Xiaokang Yin +2

This paper introduces an improved image processing method usable in capacitive imaging applications. Standard capacitive imaging tends to prefer amplitude-based images over the use…

cs.AI2021★ 50 cited

A Survey of Hybrid Human-Artificial Intelligence for Social Computing

Wenxi Wang, Huansheng Ning, Feifei Shi +3

Along with the development of modern computing technology and social sciences, both theoretical research and practical applications of social computing have been continuously exten…

physics.flu-dyn2021★ 25 cited

Prediction of three-phase relative permeabilities of Berea sandstone using lattice Boltzmann method

Sheng Li, Fei Jiang, Bei Wei +2

Three-phase flows through a pore network of Berea sandstone are studied numerically under critical interfacial tension condition. Results show that the relative permeability of eac…

physics.geo-ph2021★ 10 cited

Fast hierarchical inversion for borehole resistivity measurements in high-angle and horizontal wells using ADNN-AMLM

Yizhi Wu, Yiren Fan

With the rapid development of deep learning, intelligent scheme is gradually introduced to solve various nolinear inverse problems. In this paper, we combine an efficient adaptive…

quant-ph2021★ 5 cited

Tight upper bound on the quantum value of Svetlichny operators under local filtering and hidden genuine nonlocality

Lingyun Sun, Li Xu, Jing Wang +4

Nonlocal quantum correlations among the quantum subsystems play essential roles in quantum science. The violation of the Svetlichny inequality provides sufficient conditions of gen…