Zhilun Zhou

According to our database, Zhilun Zhou authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A survey of physics-informed AI for complex urban systems.

En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li

Inf. Fusion, 2026

ResMAS: Resilience Optimization in LLM-based Multi-agent Systems.

Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists.

Qingbin Zeng, Bingbing Fan, Zhiyu Chen, Sijian Ren, Zhilun Zhou, Xuhua Zhang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu

CoRR, November, 2025

Rationality Check! Benchmarking the Rationality of Large Language Models.

Zhilun Zhou, Jing Yi Wang, Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li, James Evans

CoRR, September, 2025

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science.

Jie Feng, Jinwei Zeng, Qingyue Long, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li

CoRR, April, 2025

2024

Urban Knowledge Graph Aided Mobile User Profiling.

Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin

ACM Trans. Knowl. Discov. Data, January, 2024

Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN.

Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li

CoRR, 2024

Large Language Model for Participatory Urban Planning.

Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li

CoRR, 2024

Large language model empowered participatory urban planning.

Zhilun Zhou, Yuming Lin, Yong Li

CoRR, 2024

2023

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.

Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li

CoRR, 2023

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network.

Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.

Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2021

Disruption in Chinese E-Commerce During COVID-19.

Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li

Frontiers Comput. Sci., 2021

2020

Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform.

Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li

CoRR, 2020