28 citations
- Sun Yat-sen UniversityCN4 papers
- Stony Brook UniversityUS3 papers
- Tsinghua UniversityCN3 papers
- Central South UniversityCN2 papers
- State University of New YorkUS2 papers
- Central South University of Forestry and TechnologyCN1 paper
- Changsha Normal UniversityCN1 paper
- China Pharmaceutical UniversityCN1 paper
- Goethe University FrankfurtDE1 paper
- Hefei University of TechnologyCN1 paper
- Henan Normal UniversityCN1 paper
- Huaihua UniversityCN1 paper
13 papers
Multimodal Feature-Driven Deep Learning for the Prediction of Duck Body Dimensions and Weight
Wenbo Xiao, Qiannan Han, Gang Shu +8
Accurate body dimension and weight measurements are critical for optimizing poultry management, health assessment, and economic efficiency. This study introduces an innovative deep…
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation
Yang Wang, Haipeng Liu, Zeqian Yi +2
The state-of-the-art recommendation systems have shifted the attention to efficient recommendation, e.g., on-device recommendation, under memory constraints. To this end, the exist…
The Mitochondrial Genome of Cathaya argyrophylla Reaches 18.99 Mb: Analysis of Super-Large Mitochondrial Genomes in Pinaceae
Kerui Huang, Wenbo Xu, Haoliang Hu +12
Mitochondrial genomes in the Pinaceae family are notable for their large size and structural complexity. In this study, we sequenced and analyzed the mitochondrial genome of Cathay…
Static and dynamical signatures of Dzyaloshinskii-Moriya interactions in the Heisenberg model on the kagome lattice
Francesco Ferrari, Sen Niu, Juraj Hasik +3
Motivated by recent experiments on CsCuSnF and YCu(OH)Cl, we consider the Heisenberg model on the kagome lattice with nearest-neighbor su…
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
J. Wang, X. Liu, S. Shen +2
Drug combination therapy has become a increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so huge that it is hard to scre…
A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities
Fang Wang, Lin Wang, Yuming Chen
On the basis of detrended fluctuation analysis (DFA), we propose a new bivariate linear regression model. This new model provides estimators of multi-scale regression coefficients…