Fengli Xu
Biographic Data
| ID | 3863271 |
|---|---|
| NAME | Fengli Xu |
| GIVEN NAMES | Fengli |
| FAMILY NAME | Xu |
| SIGNATURE | XU F |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0002-5720-4026 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
AI agent behavioral science
Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social dynamics across diverse, interactive, and open-ended scenarios. These behaviors are not solely the product of the internal architectures of the underlying models, but emerge from their integration into agentic systems operating within specific contexts, where environme…
Polarization of public opinions on feminism in China
Global efforts on feminism and women’s equality are undergoing intense challenges under the transformative impact of social media and artificial intelligence (AI). This study explores the polarization of public opinions on feminism—a prevalent yet underexplored phenomenon—by analyzing large-scale empirical data from one of China’s most prominent short video platforms. Facilitated by a fine-tuned large language model, we assess 62K users’ opinions…
Using human mobility data to quantify experienced urban inequalities
Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities
Living in cities affords expanded access to various resources, infrastructures, and services at reduced travel costs, which improves social life and promotes systemic gains. However, recent research shows that urban dwellers also experience inequality in accessing urban facilities, which manifests in distinct travel and visitation patterns for residents with different demographic backgrounds. Here, we go beyond simple flawed correlation analysis …
Large language models empowered agent-based modeling and simulation: A survey and perspectives
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing simulation capabilities. This paper surveys the landscape of utilizing large language models in agent-based modeling and simulation, discussing …
Estimating and modeling spontaneous mobility changes during the Covid-19 pandemic without stay-at-home orders
Comprehending the complex interplay among urban mobility, human behavior, and the COVID-19 pandemic could deliver vital perspectives to steer forthcoming public health endeavors. In late 2022, China lifted its "Zero-COVID" policy and rapidly abandoned nearly all interventions. It provides a unique opportunity to observe spontaneous mobility changes without government restriction throughout such a pandemic with high infection. Based on 148 million…
How enlightened self-interest guided global vaccine sharing benefits all: A modeling study
Background: Despite consensus that vaccines play an important role in combatting the global spread of infectious diseases, vaccine inequity is still a prevalent issue due to a deep-seated mentality of self-priority. We aimed to evaluate the existence and possible outcomes of a more equitable global vaccine distribution and explore a concrete incentive mechanism that promotes vaccine equity. Methods: We designed a metapopulation epidemiological mo…
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation
With the prevalence of social media, rewarding users to invite their friends to use an application or adopt a service has become one of the most successful designs in recent years. As the application or service spreads, a diffusion process driven by incentivized invitation forms. However, despite the extensive attention from both industry and academia, this newly-emerging diffusion process remains under-explored. To bridge this gap between academ…
Strategic Covid-19 vaccine distribution can simultaneously elevate social utility and equity
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation
With the prevalence of social media, rewarding users to invite their friends to use an application or adopt a service has become one of the most successful designs in recent years. As the application or service spreads, a diffusion process driven by incentivized invitation forms. However, despite the extensive attention from both industry and academia, this newly-emerging diffusion process remains under-explored. To bridge this gap between academ…
Strategic Covid-19 vaccine distribution can simultaneously elevate social utility and equity
How enlightened self-interest guided global vaccine sharing benefits all: A modeling study
Background: Despite consensus that vaccines play an important role in combatting the global spread of infectious diseases, vaccine inequity is still a prevalent issue due to a deep-seated mentality of self-priority. We aimed to evaluate the existence and possible outcomes of a more equitable global vaccine distribution and explore a concrete incentive mechanism that promotes vaccine equity. Methods: We designed a metapopulation epidemiological mo…
Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities
Living in cities affords expanded access to various resources, infrastructures, and services at reduced travel costs, which improves social life and promotes systemic gains. However, recent research shows that urban dwellers also experience inequality in accessing urban facilities, which manifests in distinct travel and visitation patterns for residents with different demographic backgrounds. Here, we go beyond simple flawed correlation analysis …
Large language models empowered agent-based modeling and simulation: A survey and perspectives
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing simulation capabilities. This paper surveys the landscape of utilizing large language models in agent-based modeling and simulation, discussing …
Estimating and modeling spontaneous mobility changes during the Covid-19 pandemic without stay-at-home orders
Comprehending the complex interplay among urban mobility, human behavior, and the COVID-19 pandemic could deliver vital perspectives to steer forthcoming public health endeavors. In late 2022, China lifted its "Zero-COVID" policy and rapidly abandoned nearly all interventions. It provides a unique opportunity to observe spontaneous mobility changes without government restriction throughout such a pandemic with high infection. Based on 148 million…
Polarization of public opinions on feminism in China
Global efforts on feminism and women’s equality are undergoing intense challenges under the transformative impact of social media and artificial intelligence (AI). This study explores the polarization of public opinions on feminism—a prevalent yet underexplored phenomenon—by analyzing large-scale empirical data from one of China’s most prominent short video platforms. Facilitated by a fine-tuned large language model, we assess 62K users’ opinions…
Using human mobility data to quantify experienced urban inequalities
AI agent behavioral science
Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social dynamics across diverse, interactive, and open-ended scenarios. These behaviors are not solely the product of the internal architectures of the underlying models, but emerge from their integration into agentic systems operating within specific contexts, where environme…
Computer Science (4 works) · Economics (3 works) · Human Mobility and Location-Based Analysis (3 works) · Medicine (3 works) · Political science (3 works) · Sociology (3 works) · Business (2 works) · COVID-19 epidemiological studies (2 works) · Data science (2 works) · Geography (2 works)