Jiaji Wu
Biographic Data
| ID | 6629557 |
|---|---|
| NAME | Jiaji Wu |
| GIVEN NAMES | Jiaji |
| FAMILY NAME | Wu |
| SIGNATURE | WU J |
| AFFILIATIONS | Xidian University |
| ORCID | 0000-0003-3769-0271 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 17 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Emotion-Aware Conversational Music Recommendation With Multiagent System
Most existing music recommendation systems struggle to perceive users’ implicit emotional states and fail to adapt dynamically to evolving preferences in emotionally rich, context-sensitive scenarios. To address this limitation, we propose an emotion-aware conversational music recommender built on a multiagent system. The system incorporates specialized agents for emotion recognition, semantic intent analysis, and contextual understanding. It dis…
Using Human Cumulative Prospect Theory to Understand Large Language Models Decision-Making
Language models are trained to predict the next words for given content. The question arises: do large language models (LLMs), which have achieved technological breakthroughs in natural language generation, possess decision-making abilities as humans? The present article lets a series of LLMs do cognitive psychology experiments to explore this hypothesis. More specifically, we first identified a choice problem set and then conducted experiments f…
Agricultural Futures Trading Decision Using AI Agent With Multiscale Candlestick Analysis
The high volatility, seasonality and complex trading environment of agricultural futures markets present significant challenges to the dynamic adaptability of algorithmic trading systems. Traditional methods rely on fixed-scale image analysis and lack adaptability, making them unsuitable for varying volatility conditions. Therefore, this study proposes an AI agent for agricultural futures trading decisions. First, an agricultural futures adaptive…
Using Multiplex Networks to Understand Physical–Digital Structural Consistency for Social Fintech Sustainable Development
Social fintech envelopes social networks within financial concepts and tokenization, and its complexity requires innovative technological solutions and theories to meet user demands and achieve sustainability. The first thing is the mapping principle between physical real society and virtual digital world. Therefore, this article uses online game Nova Empire as a case study, aiming at using multiplex networks to understand the physical–digital st…
Modeling the Contributions of Participator, Content, and Network to Topic Duration in Online Social Group
As a common phenomenon that often appears on social platforms, news sites, and community forums, topics have played an irreplaceable role in public opinion and social governance. Meanwhile, people's daily lives are increasingly dependent on the breeding, transformation, and attenuation of hot topics. This article aims to discuss the problem about topic duration, that is, what are the principle factors that affect topic duration? Why do some topic…
Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism
With the constant fusion of virtual and reality, a new vision of human beings has emerged—Metaverse. At present, the development of metaverse is still in its infancy, and although the industry has put feverish investment into it, there are still many problems that need to be discussed in academia. The first thing is user engagement. Metaverse relies heavily on massive online users to realize its social value. In other words, user engagement is th…
Analysis of healthcare needs differences and influencing factors among elderly population
The quality of healthcare services is related to the quality of life of older people in their later years. A comprehensive evaluation of the healthcare needs of the elderly is the basic basis for providing targeted healthcare services for the elderly population. Taking the Yangtze River Delta region of China as an example, this article constructs an index system for evaluating the healthcare needs among the elderly, and explores the healthcare ne…
Sustainable society via complexity analysis of the relationship between virtual game reward mechanism and addiction
Prediction of sea clutter characteristics by deep neural networks using marine environmental factors
Sustainable society based on social gamification using Nova Empire ecology mining
Chinese Citizen Satisfaction with Government Performance during Covid-19
While foreign pundits have alternatively blamed and praised the Chinese government’s handling of the COVID-19 virus, little is known about how citizens within China understand this performance. This article considers how satisfied Chinese citizens are with their government’s performance during the COVID-19 pandemic. It first considers the impact of authoritarian control, political culture, and/or actual government performance on citizen satisfact…
Application of periodic structure scattering in Kelvin ship wakes detection
Deep learning for solving inversion problem of atmospheric refractivity estimation
Chinese Citizen Satisfaction with Government Performance during Covid-19
While foreign pundits have alternatively blamed and praised the Chinese government’s handling of the COVID-19 virus, little is known about how citizens within China understand this performance. This article considers how satisfied Chinese citizens are with their government’s performance during the COVID-19 pandemic. It first considers the impact of authoritarian control, political culture, and/or actual government performance on citizen satisfact…
Deep learning for solving inversion problem of atmospheric refractivity estimation
Application of periodic structure scattering in Kelvin ship wakes detection
Sustainable society based on social gamification using Nova Empire ecology mining
Chinese Citizen Satisfaction with Government Performance during Covid-19
While foreign pundits have alternatively blamed and praised the Chinese government’s handling of the COVID-19 virus, little is known about how citizens within China understand this performance. This article considers how satisfied Chinese citizens are with their government’s performance during the COVID-19 pandemic. It first considers the impact of authoritarian control, political culture, and/or actual government performance on citizen satisfact…
Analysis of healthcare needs differences and influencing factors among elderly population
The quality of healthcare services is related to the quality of life of older people in their later years. A comprehensive evaluation of the healthcare needs of the elderly is the basic basis for providing targeted healthcare services for the elderly population. Taking the Yangtze River Delta region of China as an example, this article constructs an index system for evaluating the healthcare needs among the elderly, and explores the healthcare ne…
Sustainable society via complexity analysis of the relationship between virtual game reward mechanism and addiction
Prediction of sea clutter characteristics by deep neural networks using marine environmental factors
Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism
With the constant fusion of virtual and reality, a new vision of human beings has emerged—Metaverse. At present, the development of metaverse is still in its infancy, and although the industry has put feverish investment into it, there are still many problems that need to be discussed in academia. The first thing is user engagement. Metaverse relies heavily on massive online users to realize its social value. In other words, user engagement is th…
Modeling the Contributions of Participator, Content, and Network to Topic Duration in Online Social Group
As a common phenomenon that often appears on social platforms, news sites, and community forums, topics have played an irreplaceable role in public opinion and social governance. Meanwhile, people's daily lives are increasingly dependent on the breeding, transformation, and attenuation of hot topics. This article aims to discuss the problem about topic duration, that is, what are the principle factors that affect topic duration? Why do some topic…
Agricultural Futures Trading Decision Using AI Agent With Multiscale Candlestick Analysis
The high volatility, seasonality and complex trading environment of agricultural futures markets present significant challenges to the dynamic adaptability of algorithmic trading systems. Traditional methods rely on fixed-scale image analysis and lack adaptability, making them unsuitable for varying volatility conditions. Therefore, this study proposes an AI agent for agricultural futures trading decisions. First, an agricultural futures adaptive…
Using Multiplex Networks to Understand Physical–Digital Structural Consistency for Social Fintech Sustainable Development
Social fintech envelopes social networks within financial concepts and tokenization, and its complexity requires innovative technological solutions and theories to meet user demands and achieve sustainability. The first thing is the mapping principle between physical real society and virtual digital world. Therefore, this article uses online game Nova Empire as a case study, aiming at using multiplex networks to understand the physical–digital st…
Emotion-Aware Conversational Music Recommendation With Multiagent System
Most existing music recommendation systems struggle to perceive users’ implicit emotional states and fail to adapt dynamically to evolving preferences in emotionally rich, context-sensitive scenarios. To address this limitation, we propose an emotion-aware conversational music recommender built on a multiagent system. The system incorporates specialized agents for emotion recognition, semantic intent analysis, and contextual understanding. It dis…
Using Human Cumulative Prospect Theory to Understand Large Language Models Decision-Making
Language models are trained to predict the next words for given content. The question arises: do large language models (LLMs), which have achieved technological breakthroughs in natural language generation, possess decision-making abilities as humans? The present article lets a series of LLMs do cognitive psychology experiments to explore this hypothesis. More specifically, we first identified a choice problem set and then conducted experiments f…
Computer Science (9 works) · Artificial Intelligence (4 works) · Sociology (4 works) · Business (3 works) · Ecology (3 works) · Biology (2 works) · China (2 works) · Clutter (2 works) · Complex Network Analysis Techniques (2 works) · Economics (2 works)