Hang Shen
Biographic Data
| ID | 9907989 |
|---|---|
| NAME | Hang Shen |
| GIVEN NAMES | Hang |
| FAMILY NAME | Shen |
| SIGNATURE | SHEN H |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-6434-9055 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LLM-Augmented Contrastive Learning for Misinformation Detection in Social Networks
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing
Deep reinforcement learning (DRL) has become prevalent for decision-making task assignments in mobile crowdsensing (MCS). However, when facing sensing scenarios with varying numbers of workers or task attributes, existing DRL-based task assignment schemes fail to generate matching policies continuously and are susceptible to environmental fluctuations. To overcome these issues, a twin-delayed deep stochastic policy gradient (TDDS) approach is pre…
Moderating Effect of a Cross-Level Social Distancing Policy on the Disparity of Covid-19 Transmission in the United States
Currently, coronavirus disease 2019 (COVID-19) remains a global pandemic, but the prevention and control of the disease in various countries have also entered the normalization stage. To achieve economic recovery and avoid a waste of resources, different regions have developed prevention and control strategies according to their social, economic, and medical conditions and culture. COVID-19 disparities under the interaction of various factors, in…
A Pricing Model for Urban Rental Housing Based on Convolutional Neural Networks and Spatial Density
With the development of urbanization and the expansion of floating populations, rental housing has become an increasingly common living choice for many people, and housing rental prices have attracted great attention from individuals, enterprises and the government. The housing rental prices are principally estimated based on structural, locational and neighborhood variables, among which the relationships are complicated and can hardly be capture…
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Moderating Effect of a Cross-Level Social Distancing Policy on the Disparity of Covid-19 Transmission in the United States
Currently, coronavirus disease 2019 (COVID-19) remains a global pandemic, but the prevention and control of the disease in various countries have also entered the normalization stage. To achieve economic recovery and avoid a waste of resources, different regions have developed prevention and control strategies according to their social, economic, and medical conditions and culture. COVID-19 disparities under the interaction of various factors, in…
A Pricing Model for Urban Rental Housing Based on Convolutional Neural Networks and Spatial Density
With the development of urbanization and the expansion of floating populations, rental housing has become an increasingly common living choice for many people, and housing rental prices have attracted great attention from individuals, enterprises and the government. The housing rental prices are principally estimated based on structural, locational and neighborhood variables, among which the relationships are complicated and can hardly be capture…
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing
Deep reinforcement learning (DRL) has become prevalent for decision-making task assignments in mobile crowdsensing (MCS). However, when facing sensing scenarios with varying numbers of workers or task attributes, existing DRL-based task assignment schemes fail to generate matching policies continuously and are susceptible to environmental fluctuations. To overcome these issues, a twin-delayed deep stochastic policy gradient (TDDS) approach is pre…
LLM-Augmented Contrastive Learning for Misinformation Detection in Social Networks
Computer Science (3 works) · Economic growth (2 works) · Economics (2 works) · Engineering (2 works) · Artificial Intelligence (1 work) · Computer security (1 work) · Contrastive analysis (1 work) · Convolutional neural network (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work)