Jinghua Piao

Orcid: 0000-0003-2256-4256

According to our database1, Jinghua Piao authored at least 26 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents.
CoRR, August, 2025

Simulating Generative Social Agents via Theory-Informed Workflow Design.
CoRR, August, 2025

Exploring Large Language Model Agents for Piloting Social Experiments.
CoRR, August, 2025

MSA-Net: A Multi-Scale Information Diffusion Model Awaring User Activity Level.
ACM Trans. Web, May, 2025

Predicting Cascade Failures in Interdependent Urban Infrastructure Networks.
CoRR, March, 2025

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.
CoRR, February, 2025

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy.
CoRR, January, 2025

Emergence of human-like polarization among large language model agents.
CoRR, January, 2025

Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies.
Proceedings of the ACM on Web Conference 2025, 2025

Bi-Dynamic Graph ODE for Opinion Evolution.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

2024
Shorter Is Different: Characterizing the Dynamics of Short-Form Video Platforms.
CoRR, 2024

Artificial Intelligence for Complex Network: Potential, Methodology and Application.
CoRR, 2024

Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Human-AI adaptive dynamics drives the emergence of information cocoons.
Nat. Mac. Intell., October, 2023

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
Trans. Recomm. Syst., March, 2023

S<sup>3</sup>: Social-network Simulation System with Large Language Model-Empowered Agents.
CoRR, 2023

2022
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design.
Proc. ACM Hum. Comput. Interact., 2022

A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China.
Proc. ACM Hum. Comput. Interact., 2022

An Exploratory Study of Information Cocoon on Short-form Video Platform.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study.
Proc. ACM Hum. Comput. Interact., 2021

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
CoRR, 2021

Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic.
CoRR, 2020

2019
"I Think You'll Like It": Modelling the Online Purchase Behavior in Social E-commerce.
Proc. ACM Hum. Comput. Interact., 2019


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