Boyu Li
Biographic Data
| ID | 5680766 |
|---|---|
| NAME | Boyu Li |
| GIVEN NAMES | Boyu |
| FAMILY NAME | Li |
| SIGNATURE | LI B |
| AFFILIATIONS | Huazhong University of Science and Technology |
| ORCID | 0000-0002-7648-3745 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Global burden of amputation among children and adolescents from 1990 to 2021
Introduction: Amputation among children and adolescents, with its substantial physical, psychological, and economic impacts, remains a significant global health issue. Objectives: This study uses data from the Global Burden of Disease (GBD) to examine trends in amputation burden among youth aged 0-19 from 1990 to 2021. Methods: This study utilized the 2021 GBD dataset, focusing on the incidence, prevalence, and years lived with disabilities (YLDs…
Investigating urban and rural heat risk over long time-series
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
Lustc
Predicting link states on dynamic attributed networks is one of the most fundamental problems for network analysis. To accurately predict the formations and disappearances of links, we need to utilize three types of information, that is, structural information, node content information, and temporal information, simultaneously. To this end, we propose a novel approach called LUSTC for predicting links and unlinks with structural information, temp…
Trends and attributions of the long-term thermal comfort across the urban–rural gradient in major Chinese cities
The Risk Assessment Before Dose Tapering Among Methadone Maintenance Treatment Participants
Many methadone maintenance treatment (MMT) participants experienced a tapering phase. The benefit of tapering is based on a balance between meeting the desire to reduce methadone dose and reduction in relapse. We aimed to develop and validate a nomogram to assess relapse risk after dose tapering. We developed and internally validated a nomogram for risk assessment before dose tapering in 432 participants with dose tapering in the non-Guangzhou re…
Link Prediction and Unlink Prediction on Dynamic Networks
Link prediction on dynamic networks has been extensively studied and widely applied in various applications. However, existing methods only consider either the network structure or the temporal information, ignoring the potentialities of using both types of information together to comprehend the complex behaviors of dynamic networks. Moreover, temporal unlink prediction, which also plays an important role in the evolution of social networks, has …
No prominent works on this page.
Link Prediction and Unlink Prediction on Dynamic Networks
Link prediction on dynamic networks has been extensively studied and widely applied in various applications. However, existing methods only consider either the network structure or the temporal information, ignoring the potentialities of using both types of information together to comprehend the complex behaviors of dynamic networks. Moreover, temporal unlink prediction, which also plays an important role in the evolution of social networks, has …
Pamt
Semisupervised node classification on attributed networks is a crucial task for network analysis. By decoupling two critical operations in graph convolutional networks (GCNs), namely feature transformation and neighborhood aggregation, recent works of decoupled GCNs could support the information to propagate deeper and achieve advanced performance on node classification. However, they follow the structure-aware propagation strategy of GCNs, makin…
Lustc
Predicting link states on dynamic attributed networks is one of the most fundamental problems for network analysis. To accurately predict the formations and disappearances of links, we need to utilize three types of information, that is, structural information, node content information, and temporal information, simultaneously. To this end, we propose a novel approach called LUSTC for predicting links and unlinks with structural information, temp…
Trends and attributions of the long-term thermal comfort across the urban–rural gradient in major Chinese cities
The Risk Assessment Before Dose Tapering Among Methadone Maintenance Treatment Participants
Many methadone maintenance treatment (MMT) participants experienced a tapering phase. The benefit of tapering is based on a balance between meeting the desire to reduce methadone dose and reduction in relapse. We aimed to develop and validate a nomogram to assess relapse risk after dose tapering. We developed and internally validated a nomogram for risk assessment before dose tapering in 432 participants with dose tapering in the non-Guangzhou re…
Global burden of amputation among children and adolescents from 1990 to 2021
Introduction: Amputation among children and adolescents, with its substantial physical, psychological, and economic impacts, remains a significant global health issue. Objectives: This study uses data from the Global Burden of Disease (GBD) to examine trends in amputation burden among youth aged 0-19 from 1990 to 2021. Methods: This study utilized the 2021 GBD dataset, focusing on the incidence, prevalence, and years lived with disabilities (YLDs…
Investigating urban and rural heat risk over long time-series
Computer Science (4 works) · Data mining (3 works) · Advanced Graph Neural Networks (2 works) · Algorithm (2 works) · Artificial Intelligence (2 works) · Climate Change and Health Impacts (2 works) · Complex Network Analysis Techniques (2 works) · Demography (2 works) · Engineering (2 works) · Geography (2 works)