Research, in print.

What would an LLM do? Evaluating policymaking capabilities of large language models

Le Coz, P., Liu, J., Bhattacharjya, D., Curto, G., & Stinckwich, S.

CoRR abs/2509.03827 · Best Paper, AAAI 2026 Workshop on LMs for Underserved Communities

Agentic AI for sustainable development: LLM-enhanced agent-based modeling for complex policy strategies

Liu, J., Chu, C., Zhao, Y., Aoki, G., & Xiao, Z.

Emerging Media, 3(3), 401–413

Cognitive urban simulation with large language models under the fifteen-minute-city paradigm

Le Coz, P., & Liu, J.

In AI for Humanity: Building an Equitable Digital Future. Springer (UNU–Springer)

A large-scale remote-sensing dataset and VLM-based algorithm for fine-grained road hierarchy classification

Han, T., Xie, X., Chen, Y., Du, Y., Ma, J., Li, A., Liu, J., & Gao, Y.

arXiv:2603.21222 · dataset on Zenodo (DOI 10.5281/zenodo.18642747)

Unveiling universal forensics of diffusion models with adversarial perturbations

Xie, K., Liu, J., Zhu, M., Ding, G., Liu, Z., Chen, H., & Chen, H.

IEEE International Joint Conference on Neural Networks (IJCNN)

Navigating to urban environmental health: a personalized healthy-living assistant based on intelligent health-risk management

Li, F., Liu, J., Chen, Z., Huang, J., Liu, C., & Qu, Z.

Urban Climate, 40, 101020

An integrated stochastic-fuzzy pollution assessment for heavy metals in urban topsoil based on enrichment and bioaccessibility

Li, F., Zhang, J., Liu, W., Liu, J., Huang, J., & Zeng, G.

Science of the Total Environment, 644, 649–660

Agent-based and microsimulation modelling for tax-benefit policy analysis

Lastunen, J., Liu, J., & Stinckwich, S.

Working paper, UNU-WIDER

The future path of general artificial intelligence: a comparative study of AI strategies and development models

Chen, L., Liu, J., Wang, Y., & Lv, S.

Zhejiang University Press (book)

Incorporating the UN values: artificial intelligence and information integrity for the SDGs

Chu, C., & Liu, J.

United Nations University