Hongjun Wang
Biographic Data
| ID | 6824308 |
|---|---|
| NAME | Hongjun Wang |
| GIVEN NAMES | Hongjun |
| FAMILY NAME | Wang |
| SIGNATURE | WANG H |
| AFFILIATIONS | Southwest Jiaotong University |
| ORCID | 0000-0002-2105-2745 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
General Adaptive Hypergraph Model for Coclustering
Coclustering, as a crucial technique in data analysis, has proven effective in exploring the inherent data structures and revealing the synergistic effects of samples and features. However, most existing coclustering methods are limited to graph structures that primarily capture pairwise relationships between data points. In contrast, hyperedges in hypergraphs can connect multiple nodes, capturing complex associations between sets of points. Comp…
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering
The graph regularized nonnegative matrix factorization (GNMF) algorithms have received a lot of attention in the field of machine learning and data mining, as well as the square loss method is commonly used to measure the quality of reconstructed data. However, noise is introduced when data reconstruction is performed; and the square loss method is sensitive to noise, which leads to degradation in the performance of data analysis tasks. To solve …
Species-specific herbivore grazing of type-specific grassland can assist with promotion of shallow layer of soil carbon sequestration
Grassland soils represent a significant potential pool for the sequestering of atmospheric CO 2 ; however, the magnitude of this pool depends to a certain extent on the grazing management of the grassland. Whether different herbivore species and combinations (herbivore assemblage) influence the soil organic carbon (SOC) in various grasslands remains unclear. Here we have investigated the impacts of herbivore assemblages (NG, no grazing; SG, sheep…
Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic Mabac Method
In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to …
No prominent works on this page.
Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic Mabac Method
In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to …
Species-specific herbivore grazing of type-specific grassland can assist with promotion of shallow layer of soil carbon sequestration
Grassland soils represent a significant potential pool for the sequestering of atmospheric CO 2 ; however, the magnitude of this pool depends to a certain extent on the grazing management of the grassland. Whether different herbivore species and combinations (herbivore assemblage) influence the soil organic carbon (SOC) in various grasslands remains unclear. Here we have investigated the impacts of herbivore assemblages (NG, no grazing; SG, sheep…
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering
The graph regularized nonnegative matrix factorization (GNMF) algorithms have received a lot of attention in the field of machine learning and data mining, as well as the square loss method is commonly used to measure the quality of reconstructed data. However, noise is introduced when data reconstruction is performed; and the square loss method is sensitive to noise, which leads to degradation in the performance of data analysis tasks. To solve …
General Adaptive Hypergraph Model for Coclustering
Coclustering, as a crucial technique in data analysis, has proven effective in exploring the inherent data structures and revealing the synergistic effects of samples and features. However, most existing coclustering methods are limited to graph structures that primarily capture pairwise relationships between data points. In contrast, hyperedges in hypergraphs can connect multiple nodes, capturing complex associations between sets of points. Comp…
Computer Science (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Adjacency matrix (1 work) · Advanced Computing and Algorithms (1 work) · Advanced Database Systems and Queries (1 work) · Agroforestry (1 work) · Agronomy (1 work) · Algorithm (1 work) · Attributive (1 work)