activity
20182026
most citedUniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

105 citations · 171 across the 33 of their papers we have counts for

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13 papers · 1 filter

cs.AI2026

UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics

Yanxin Xi, Xiang Su, Jie Feng +3

Understanding urban wellbeing from multimodal data requires integrating heterogeneous spatial and temporal signals, posing significant challenges for current multimodal large langu…

cs.AI2025

TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Control

Yuwei Du, Jun Zhang, Jie Feng +3

Traffic simulation is important for transportation optimization and policy making. While existing simulators such as SUMO and MATSim offer fully-featured platforms and utilities, u…

cs.AI2025

AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment

Xiaochong Lan, Jie Feng, Yinxing Liu +2

Ranking online reviews by their intrinsic quality is a critical task for e-commerce platforms and information services, impacting user experience and business outcomes. However, qu…

cs.AI2025

Open-Set Living Need Prediction with Large Language Models

Xiaochong Lan, Jie Feng, Yizhou Sun +5

Living needs are the needs people generate in their daily lives for survival and well-being. On life service platforms like Meituan, user purchases are driven by living needs, maki…

cs.AI2025

LocalGPT: Benchmarking and Advancing Large Language Models for Local Life Services in Meituan

Xiaochong Lan, Jie Feng, Jiahuan Lei +2

Large language models (LLMs) have exhibited remarkable capabilities and achieved significant breakthroughs across various domains, leading to their widespread adoption in recent ye…

cs.AI2025

CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing

Tianhui Liu, Hetian Pang, Xin Zhang +5

Understanding urban socioeconomic conditions through visual data is a challenging yet essential task for sustainable urban development and policy planning. In this work, we introdu…

cs.AI2025

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts

Chonghua Han, Yuan Yuan, Jingtao Ding +3

The success of foundation models in language has inspired a new wave of general-purpose models for human mobility. However, existing approaches struggle to scale effectively due to…

cs.AI2025

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 +15

Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However,…

cs.AI2025★ 18 cited

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Fengli Xu, Qianyue Hao, Zefang Zong +17

Language has long been conceived as an essential tool for human reasoning. The breakthrough of Large Language Models (LLMs) has sparked significant research interest in leveraging…

cs.AI2024

Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments

Yile Liang, Jiuxia Zhao, Donghui Li +5

The recent past has witnessed a notable surge in on-demand food delivery (OFD) services, offering delivery fulfillment within dozens of minutes after an order is placed. In OFD, po…

cs.AI2024★ 6 cited

CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Jie Feng, Tianhui Liu, Yuwei Du +3

Large language models(LLMs), with their powerful language generation and reasoning capabilities, have already achieved notable success in many domains, e.g., math and code generati…

cs.AI2024★ 3 cited

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Jie Feng, Jun Zhang, Tianhui Liu +6

As large language models (LLMs) continue to advance and gain widespread use, establishing systematic and reliable evaluation methodologies for LLMs and vision-language models (VLMs…

cs.AI2023★ 8 cited

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

Fengli Xu, Jun Zhang, Chen Gao +2

Urban environments, characterized by their complex, multi-layered networks encompassing physical, social, economic, and environmental dimensions, face significant challenges in the…