24 citations · 82 across the 50 of their papers we have counts for
9 papers · 1 filter
AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
Rui Liu, Tao Zhe, Dongjie Wang +5
The rapid emergence of open-source, locally hosted intelligent agents marks a critical inflection point in human-computer interaction. Systems such as OpenClaw demonstrate that Lar…
Autonomous Data Agents: A New Opportunity for Smart Data
Yanjie Fu, Dongjie Wang, Wangyang Ying +4
As data continues to grow in scale and complexity, preparing, transforming, and analyzing it remains labor-intensive, repetitive, and difficult to scale. Since data contains knowle…
Towards Urban Planing AI Agent in the Age of Agentic AI
Rui Liu, Tao Zhe, Zhong-Ren Peng +4
Generative AI, large language models, and agentic AI have emerged separately of urban planning. However, the convergence between AI and urban planning presents an interesting oppor…
Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
Dongjie Wang, Chang-Tien Lu, Xinyue Ye +2
The two fields of urban planning and artificial intelligence (AI) arose and developed separately. However, there is now cross-pollination and increasing interest in both fields to…
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
Dongjie Wang, Lingfei Wu, Denghui Zhang +3
The essential task of urban planning is to generate the optimal land-use configuration of a target area. However, traditional urban planning is time-consuming and labor-intensive.…
Automated Urban Planning aware Spatial Hierarchies and Human Instructions
Dongjie Wang, Kunpeng Liu, Yanyong Huang +3
Traditional urban planning demands urban experts to spend considerable time and effort producing an optimal urban plan under many architectural constraints. The remarkable imaginat…
Reinforced Imitative Graph Learning for Mobile User Profiling
Dongjie Wang, Pengyang Wang, Yanjie Fu +3
Mobile user profiling refers to the efforts of extracting users' characteristics from mobile activities. In order to capture the dynamic varying of user characteristics for generat…
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
Dongjie Wang, Pengyang Wang, Kunpeng Liu +3
In this paper, we study the problem of mobile user profiling, which is a critical component for quantifying users' characteristics in the human mobility modeling pipeline. Human mo…
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Dongjie Wang, Yanjie Fu, Pengyang Wang +2
Urban planning refers to the efforts of designing land-use configurations. Effective urban planning can help to mitigate the operational and social vulnerability of a urban system,…