Jianhua Jiang
Biographic Data
| ID | 3915546 |
|---|---|
| NAME | Jianhua Jiang |
| GIVEN NAMES | Jianhua |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG J |
| AFFILIATIONS | Jilin University of Finance and Economics |
| ORCID | 0000-0002-9149-2922 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Aspect-Aware Fair Influence Maximization
The influence maximization (IM) problem seeks to identify a set of influential seed nodes to maximise information diffusion in a network. While most existing approaches focus solely on maximizing influence spread, they often neglect fairness in the diffusion of diverse aspects of information across different communities. This oversight can lead to a biased public understanding or the exclusion of minority interests in real-world applications, suc…
GWO-MLP Based Achievement Prediction Model for English Learning With Different Learning Motivations
English achievement prediction is vital for improving the efficiency of English teaching by addressing the specific needs of students as early as possible. However, traditional English achievement prediction models are not good at the accuracy. Hence, a data-driven and AI-driven achievement prediction model is required to solve this problem. Recently, the increasing popularity of Multiple Layer Perception (MLP) and Gray Wolf Optimizer (GWO) has p…
LLM-BotGuard
Detecting social media bots has become increasingly critical due to their detrimental impact on online environments. With the emergence of sophisticated large language models (LLM) such as ChatGPT, bot detection faces new challenges. These bots based on LLMs exhibit human-like behaviors, and it is difficult for traditional detection approaches to identify them effectively. Such conventional methods struggle with the advanced features associated w…
Extend UTAUT2 Model to Analyze User Behavior of China Construction Bank Mobile App
The outbreak of COVID-19 has been accelerating the digital transformation of financial institutions all over the world. Mobile banking APPs become an important channel to provide financial services in the Internet and Big Data era. Factors that restrict its development have attracted the close attention of scholars and practitioners around the world. Different from a general APP software, mobile banking APPs naturally have some financial attribut…
An Enhanced TSA-MLP Model for Identifying Credit Default Problems
Credit default has always been one of the critical factors in the development of personal credit business. By establishing a default identification model, default can be avoided effectively. There are some existing methods to identify credit default. However, these methods have some problems: Problem (1): It is different to deal the non-linear data, Problem (2): The local stagnation results in the high error rate, and Problem (3): The premature c…
No prominent works on this page.
An Enhanced TSA-MLP Model for Identifying Credit Default Problems
Credit default has always been one of the critical factors in the development of personal credit business. By establishing a default identification model, default can be avoided effectively. There are some existing methods to identify credit default. However, these methods have some problems: Problem (1): It is different to deal the non-linear data, Problem (2): The local stagnation results in the high error rate, and Problem (3): The premature c…
Extend UTAUT2 Model to Analyze User Behavior of China Construction Bank Mobile App
The outbreak of COVID-19 has been accelerating the digital transformation of financial institutions all over the world. Mobile banking APPs become an important channel to provide financial services in the Internet and Big Data era. Factors that restrict its development have attracted the close attention of scholars and practitioners around the world. Different from a general APP software, mobile banking APPs naturally have some financial attribut…
LLM-BotGuard
Detecting social media bots has become increasingly critical due to their detrimental impact on online environments. With the emergence of sophisticated large language models (LLM) such as ChatGPT, bot detection faces new challenges. These bots based on LLMs exhibit human-like behaviors, and it is difficult for traditional detection approaches to identify them effectively. Such conventional methods struggle with the advanced features associated w…
Aspect-Aware Fair Influence Maximization
The influence maximization (IM) problem seeks to identify a set of influential seed nodes to maximise information diffusion in a network. While most existing approaches focus solely on maximizing influence spread, they often neglect fairness in the diffusion of diverse aspects of information across different communities. This oversight can lead to a biased public understanding or the exclusion of minority interests in real-world applications, suc…
GWO-MLP Based Achievement Prediction Model for English Learning With Different Learning Motivations
English achievement prediction is vital for improving the efficiency of English teaching by addressing the specific needs of students as early as possible. However, traditional English achievement prediction models are not good at the accuracy. Hence, a data-driven and AI-driven achievement prediction model is required to solve this problem. Recently, the increasing popularity of Multiple Layer Perception (MLP) and Gray Wolf Optimizer (GWO) has p…
Computer Science (3 works) · Artificial Intelligence (2 works) · Academic achievement (1 work) · Actuarial science (1 work) · Advanced Malware Detection Techniques (1 work) · Advanced Technologies in Various Fields (1 work) · Advertising (1 work) · Anomaly Detection Techniques and Applications (1 work) · Approximation algorithm (1 work) · Artificial neural network (1 work)