Jiangtao Wang
Biographic Data
| ID | 4130911 |
|---|---|
| NAME | Jiangtao Wang |
| GIVEN NAMES | Jiangtao |
| FAMILY NAME | Wang |
| SIGNATURE | WANG J |
| AFFILIATIONS | University of Electronic Science and Technology of China |
| ORCID | 0009-0000-2562-0888 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting depression by using a novel deep learning model and video-audio-text multimodal data
These results underscore the robustness and precision of the IMDD-Net, highlighting the importance of integrating local and global features across multiple modalities for accurate depression prediction
Prevention and control of infectious disease transmission in subways: An improved susceptible–exposed–infected–recovered model
Introduction: A well-connected transportation network unites localities but also accelerates the transmission of infectious diseases. Subways-an important aspect of daily travel in big cities-are high-risk sites for the transmission of urban epidemics. Intensive research examining the transmission mechanisms of infectious diseases in subways is necessary to ascertain the risk of disease transmission encountered by commuters. Methods: In this stud…
Randomized Crossover Study of Auricular Plaster Therapy to Relieve Dental Anxiety in Children
Anti-anxiety APT can help relieve dental anxiety in children
Fine-Grained Assessment of Covid-19 Severity Based on Clinico-Radiological Data Using Machine Learning
CT-based clinico-radiological features can provide an important reference for the accurate fine-grained assessment of illness severity using machine learning to achieve the early triage of COVID-19 patients
Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation
Next point-of-interest (POI) recommendation has been an important task for location-based intelligent services. However, the application of such promising technique is still limited due to the following three challenges: 1) the difficulty of capturing complicated spatiotemporal patterns of user movements; 2) the hardness of modeling fine-grained long-term preferences of users; and 3) the effective learning of interaction between long- and short-t…
Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing
As a key research issue in mobile crowdsensing (MCS), recent studies on task recommendation have begun to focus on recommending tasks to participants according to the learned participant preferences. The common drawbacks of these studies are that, on the one hand, the factors affecting participant preferences are predefined, which is not practical as the influential factors are quite complex and a full map of participant profiles needs to be pree…
Irradiation-Induced Changes in the Immunogenicity of Lung Cancer Cell Lines: Based on Comparison of X-rays and Carbon Ions
Increasing the immunogenicity of tumors is considered to be an effective means to improve the synergistic immune effect of radiotherapy. Carbon ions have become ideal radiation for combined immunotherapy due to their particular radiobiological advantages. However, the difference in time and dose of immunogenic changes induced by Carbon ions and X-rays has not yet been fully clarified. To further explore the immunogenicity differences between carb…
News coverage of drug development: Implications for the conveyance of health information
Our findings reveal that guidelines should be established to facilitate more systematic news reporting on health-related advances. Additionally, literacy among the general public and professionalism in health information conveyance should be promoted to negate the "illusion of knowing" about health-related advances
The Effect of Corporate Social Responsibility and Public Attention on Innovation Performance: Evidence from High-polluting Industries
High-polluting industries are important sources of pollutant emissions, and closely related to many environmental issues. High-polluting firms face the pressure to exploit technological innovation for improving their environmental operations. This paper explores the impact of corporate social responsibility and public attention on the innovation performance of high-polluting firms. Based on a sample of China's listed firms in high-polluting indus…
A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective
In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive ta…
An Empirical Study on Low-Carbon: Human Resources Performance Evaluation
Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly aff…
The Development Evaluation of Economic Zones in China
After the Chinese reform and opening up, the construction of economic zones, such as Special Economic Zones, Hi-tech Zones and Bonded Zones, has played an irreplaceable role in China's economic development. Currently, against the background of Chinese economic transition, research on development evaluation of economic zones has become popular and necessary. Similar research usually focuses on one specific field, and the methods that are used to e…
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A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective
In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive ta…
An Empirical Study on Low-Carbon: Human Resources Performance Evaluation
Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly aff…
The Development Evaluation of Economic Zones in China
After the Chinese reform and opening up, the construction of economic zones, such as Special Economic Zones, Hi-tech Zones and Bonded Zones, has played an irreplaceable role in China's economic development. Currently, against the background of Chinese economic transition, research on development evaluation of economic zones has become popular and necessary. Similar research usually focuses on one specific field, and the methods that are used to e…
The Effect of Corporate Social Responsibility and Public Attention on Innovation Performance: Evidence from High-polluting Industries
High-polluting industries are important sources of pollutant emissions, and closely related to many environmental issues. High-polluting firms face the pressure to exploit technological innovation for improving their environmental operations. This paper explores the impact of corporate social responsibility and public attention on the innovation performance of high-polluting firms. Based on a sample of China's listed firms in high-polluting indus…
Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation
Next point-of-interest (POI) recommendation has been an important task for location-based intelligent services. However, the application of such promising technique is still limited due to the following three challenges: 1) the difficulty of capturing complicated spatiotemporal patterns of user movements; 2) the hardness of modeling fine-grained long-term preferences of users; and 3) the effective learning of interaction between long- and short-t…
Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing
As a key research issue in mobile crowdsensing (MCS), recent studies on task recommendation have begun to focus on recommending tasks to participants according to the learned participant preferences. The common drawbacks of these studies are that, on the one hand, the factors affecting participant preferences are predefined, which is not practical as the influential factors are quite complex and a full map of participant profiles needs to be pree…
Irradiation-Induced Changes in the Immunogenicity of Lung Cancer Cell Lines: Based on Comparison of X-rays and Carbon Ions
Increasing the immunogenicity of tumors is considered to be an effective means to improve the synergistic immune effect of radiotherapy. Carbon ions have become ideal radiation for combined immunotherapy due to their particular radiobiological advantages. However, the difference in time and dose of immunogenic changes induced by Carbon ions and X-rays has not yet been fully clarified. To further explore the immunogenicity differences between carb…
News coverage of drug development: Implications for the conveyance of health information
Our findings reveal that guidelines should be established to facilitate more systematic news reporting on health-related advances. Additionally, literacy among the general public and professionalism in health information conveyance should be promoted to negate the "illusion of knowing" about health-related advances
Randomized Crossover Study of Auricular Plaster Therapy to Relieve Dental Anxiety in Children
Anti-anxiety APT can help relieve dental anxiety in children
Fine-Grained Assessment of Covid-19 Severity Based on Clinico-Radiological Data Using Machine Learning
CT-based clinico-radiological features can provide an important reference for the accurate fine-grained assessment of illness severity using machine learning to achieve the early triage of COVID-19 patients
Prevention and control of infectious disease transmission in subways: An improved susceptible–exposed–infected–recovered model
Introduction: A well-connected transportation network unites localities but also accelerates the transmission of infectious diseases. Subways-an important aspect of daily travel in big cities-are high-risk sites for the transmission of urban epidemics. Intensive research examining the transmission mechanisms of infectious diseases in subways is necessary to ascertain the risk of disease transmission encountered by commuters. Methods: In this stud…
Predicting depression by using a novel deep learning model and video-audio-text multimodal data
These results underscore the robustness and precision of the IMDD-Net, highlighting the importance of integrating local and global features across multiple modalities for accurate depression prediction
Computer Science (6 works) · Medicine (5 works) · Business (4 works) · Economics (4 works) · Engineering (4 works) · Artificial Intelligence (3 works) · Environmental economics (3 works) · Internal Medicine (3 works) · Machine learning (3 works) · Pathology (3 works)