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pro vyhledávání: '"Liu, LiPing"'
Neural network force field models such as DeePMD have enabled highly efficient large-scale molecular dynamics simulations with ab initio accuracy. However, building such models heavily depends on the training data obtained by costly electronic struct
Externí odkaz:
http://arxiv.org/abs/2411.13850
Spike train classification has recently become an important topic in the machine learning community, where each spike train is a binary event sequence with \emph{temporal-sparsity of signals of interest} and \emph{temporal-noise} properties. A promis
Externí odkaz:
http://arxiv.org/abs/2411.05806
Autor:
Li, Yukun, Liu, Liping
Diffusion models have been popular for point cloud generation tasks. Existing works utilize the forward diffusion process to convert the original point distribution into a noise distribution and then learn the reverse diffusion process to recover the
Externí odkaz:
http://arxiv.org/abs/2404.02396
Autor:
Lymperopoulos, Panagiotis, Liu, Liping
Finding Minimal Unsatisfiable Subsets (MUSes) of binary constraints is a common problem in infeasibility analysis of over-constrained systems. However, because of the exponential search space of the problem, enumerating MUSes is extremely time-consum
Externí odkaz:
http://arxiv.org/abs/2402.15524
For several cancer patients, operative resection with curative intent can end up in early recurrence of the cancer. Current limitations in peri-operative cancer staging and especially intra-operative misidentification of visible metastases is likely
Externí odkaz:
http://arxiv.org/abs/2306.10380
Publikováno v:
Dianxin kexue, Vol 40, Pp 34-41 (2024)
A novel reference signal scheme, E DFT-s-OFDM DMRS was proposed for high-mobility scenarios in the Terahertz band. The proposed scheme involved segmenting the reference signal sequence with cyclic prefix and cyclic suffix into a head and tail referen
Externí odkaz:
https://doaj.org/article/4b032623c6594fad8532ce462e68638d
Publikováno v:
陆军军医大学学报, Vol 46, Iss 15, Pp 1797-1802 (2024)
Objective To explore the influence of gender on the prognosis of patients with atrial fibrillation (AF) undergoing left atrial appendage occlusion (LAAO). Methods All non-valvular AF patients who were admitted in our hospital and underwent LAAO from
Externí odkaz:
https://doaj.org/article/5060000cfcdc4a7d901888df30b47452
Autor:
ZHANG Huaqiu, YANG Yingying, LIU Liping, YAO Mingjing, HAN Mo, ZHANG Jiaxiang, ZHAO Xiangying
Publikováno v:
Shipin Kexue, Vol 45, Iss 13, Pp 312-324 (2024)
Docosahexaenoic acid (DHA) is an n-3 polyunsaturated fatty acid that is essential for human nutrition. Currently, DHA is commonly produced using Aurantiochytrium, and omics technologies are widely used to investigate the mechanism underlying high DHA
Externí odkaz:
https://doaj.org/article/1e2ca04643dc45609bf7a4fbd29edc49
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 1459-544 (2024)
The frequency of lung infection induced by multi-drug resistant strains of Pseudomonas aeruginosa has significantly risen, primarily due to the inadequate effectiveness of powerful chemotherapeutic methods. This study demonstrates that the Ocimum bas
Externí odkaz:
https://doaj.org/article/b64dddd307d44919a714d18da9554ba7
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervised learning of node representations from graph data. In this work, we systematically analyze modeling node attributes in VGAEs and show that attribute decoding is important for
Externí odkaz:
http://arxiv.org/abs/2212.01682