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Yong Li

20 papers hereh-index 8239 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author17

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.CV5
  • cs.CL4
  • cs.LG3
same name
  • Yong Li — 68 papers, h 32
  • Yong Li — 43 papers, h 9
  • Yong Li — 41 papers, h 71
  • Yong Li — 25 papers, h 6
  • Yong Li — 24 papers, h 19
  • Yong Li — 24 papers, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedCityGPT: Empowering Urban Spatial Cognition of Large Language Models

6 citations · 11 across the 19 of their papers we have counts for

collaborators
Showing 2025 · cs.AIShow all

4 papers · 2 filters

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

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…

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