153 citations · 784 across the 29 of their papers we have counts for
6 papers · 1 filter
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
Zhilun Zhou, Zihan Liu, Jiahe Liu +5
Large Language Model-based Multi-Agent Systems (LLM-based MAS), where multiple LLM agents collaborate to solve complex tasks, have shown impressive performance in many areas. Howev…
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
Jun Zhang, Wenxuan Ao, Junbo Yan +2
With the development of artificial intelligence techniques, transportation system optimization is evolving from traditional methods relying on expert experience to simulation and l…
Large Language Model for Participatory Urban Planning
Zhilun Zhou, Yuming Lin, Depeng Jin +1
Participatory urban planning is the mainstream of modern urban planning that involves the active engagement of residents. However, the traditional participatory paradigm requires e…
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
Zhilun Zhou, Jingtao Ding, Yu Liu +2
Although generative AI has been successful in many areas, its ability to model geospatial data is still underexplored. Urban flow, a typical kind of geospatial data, is critical fo…
Road Planning for Slums via Deep Reinforcement Learning
Yu Zheng, Hongyuan Su, Jingtao Ding +2
Millions of slum dwellers suffer from poor accessibility to urban services due to inadequate road infrastructure within slums, and road planning for slums is critical to the sustai…
Advancements in Federated Learning: Models, Methods, and Privacy
Huiming Chen, Huandong Wang, Qingyue Long +2
Federated learning (FL) is a promising technique for addressing the rising privacy and security issues. Its main ingredient is to cooperatively learn the model among the distribute…