Publications

Complete list on Google Scholar
ECCV 2026
Spatial Intelligence

RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios

Jun ZhangEQ, Xin ZhangEQ, Jie FengCA, Long Chen, Junhui Wang, Zhicheng Liu, Depeng Jin, Yong Li

KDD 2026 AI4S
Agentic IntelligenceUrban Science

Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

Qingbin Zeng, Yuwei Yan, Zhiheng Zheng, Jingzhe Yuan, Jun Zhang, Jie Feng, Fengli Xu, James Evans, Yong Li

IJCAI 2026
Urban Science

DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling

Jie Zhao, Xianqi DaiINT, Jie FengCA, Huandong Wang, Yong Li

Preprint 2026.05
Spatial IntelligenceAgentic Intelligence

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Tianhui Liu, Jie FengCA, Zhiheng Zheng, Shengyuan Wang, Yiming Guo, Yanxin Xi, Hangyu Fan, Yong Li, Pan Hui

KDD 2026 D&B
Spatial IntelligenceUrban Science

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

Yanxin Xi, Xiang SuCA, Jie FengCA, Yu Liu, Sasu Tarkoma, Pan HuiCA

Humanities and Social Sciences Communications 2026
Agentic Intelligence

AI Agent Behavioral Science

Lin Chen, Yunke Zhang, Jie Feng, Haoye Chai, Honglin Zhang, Bingbing Fan, Yibo Ma, Shiyuan Zhang, Nian Li, Tianhui Liu, Nicholas Sukiennik, Keyu Zhao, Yu Li, Ziyi Liu, Fengli Xu, Yong Li

Preprint 2026.04
Agentic IntelligenceApplications

Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model

Shiteng CaoINT, Xiaochong Lan, Yuwei Du, Jie FengCA, Yinxing Liu, Xinlei Shi, Yong LiCA

ICLR 2026
Spatial IntelligenceUrban Science

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

Tianhui Liu, Hetian PangINT, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Jie FengCA, Yong Li, Hui Pan

PLOS Complex Systems 2026
Spatial IntelligenceAgentic Intelligence

Towards a Foundational Platform for Generative Agents in Simulated City Environment

Fengli XuEQ, Jun ZhangEQ, Chen GaoEQ, Peijie Liu, Jie Feng, Yong Li

Preprint 2025.12
Applications

AR-Med: Automated Relevance Enhancement in Medical Search via LLM-Driven Information Augmentation

Chuyue WangINT, Jie FengCA, Yuxi Wu, Hang Zhang, Zhiguo Fan, Bing Cheng, Wei Lin

Preprint 2025.12
Agentic IntelligenceApplications

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

Yuwei Du, Jun Zhang, Jie FengCA, Zhicheng Liu, Jian Yuan, Yong LiCA

Preprint 2025.11
Spatial IntelligenceAgentic Intelligence

(UrbanWorld 2.0) RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale

Shengyuan WangEQ, Zhiheng ZhengEQ, Yu Shang, Lixuan HeINT, Yangcheng YuINT, Hangyu Fan, Jie FengCA, Qingmin Liao, Yong LiCA

Preprint 2025.10
Spatial IntelligenceUrban Science

CityRiSE: Reasoning Urban Socio-Economic Status in Vision-Language Models via Reinforcement Learning

Tianhui Liu, Hetian PangINT, Xin Zhang, Jie FengCA, Yong LiCA, Pan HuiCA

Cell Patterns 2025
Agentic Intelligence

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

Fengli XuEQ, Qianyue HaoEQ, Chenyang ShaoEQ, Zefang ZongEQ, Yu LiEQ, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li

Preprint 2025.09
Spatial IntelligenceAgentic Intelligence

A Survey of Embodied World Models

Yu Shang, Yinzhou Tang, Xin Zhang, Shengyuan Wang, Yuwei Yan, Honglin Zhang, Zhiheng Zheng, Jie Zhao, Jie Feng, Chen Gao, Jiansheng Chen, Huimin Ma, Yong Li

EMNLP 2025 Industry
Agentic IntelligenceApplications

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

Xiaochong Lan, Jie FengCA, Yinxing Liu, Xinleishi, Yong LiCA

EMNLP 2025 Industry
Applications

Medical Knowledge-Guided Depression Detection on Social Media with Large Language Models

Xiaochong Lan, Zhiguang Han, Yiming Cheng, Li Sheng, Jie Feng, Chen Gao, Yong Li

NeurIPS 2025
Agentic IntelligenceUrban Science

TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration

Yuwei DuEQ, Jie FengEQCA, Jie Zhao, Yong LiCA

EMNLP 2025 Findings
Spatial Intelligence

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning

Shengyuan Wang, Jie FengCA, Tianhui Liu, Dan Pei, Yong LiCA

Preprint 2025.06
Agentic IntelligenceUrban Science

CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation

Yuwei Du, Jie FengCA, Jian Yuan, Yong LiCA

ACM Computing Surveys 2025
Spatial IntelligenceAgentic Intelligence

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Jingtao DingEQ, Yunke ZhangEQ, Yu ShangEQ, Jie FengEQ, Yuheng Zhang, Zefang Zong, Yuan Yuan, Hongyuan Su, Nian Li, Jinghua Piao, Yucheng Deng, Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li

ICCV 2025
Spatial IntelligenceUrban Science

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li

KDD 2025 ADS
Agentic IntelligenceApplications

Benchmarking and Advancing Large Language Models for Local Life Services

Xiaochong Lan, Jie FengCA, Jiahuan Lei, Xinlei Shi, Yong LiCA

KDD 2025 D&B
Spatial IntelligenceUrban Science

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

Jie FengEQ, Jun ZhangEQ, Tianhui LiuEQ, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi GuoINT, Yong Li

KDD 2025 Research
Spatial IntelligenceUrban Science

CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Jie FengEQ, Tianhui LiuEQ, Yuwei Du, Siqi GuoINT, Yuming Lin, Yong Li

Preprint 2025.04
Spatial Intelligence

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, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li

NAACL 2025
Agentic IntelligenceUrban Science

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

ACL 2025
Spatial Intelligence

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics

Wenrui XuINTEQ, Dalin LyuINTEQ, Weihang WangINTEQ, Jie Feng, Chen Gao, Yong Li

ACL 2025 Findings
Agentic IntelligenceApplications

Open-Set Living Need Prediction with Large Language Models

Xiaochong Lan, Jie FengCA, Yizhou SunINT, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong LiCA

IEEE Transactions on Intelligent Transportation Systems 2024
ApplicationsSpatio-temporal Data Mining

Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery

Jingfang Chen, Ling Wang, Yile Liang, Yang Yu, Jie Feng, Jiuxia Zhao, Xuetao Ding

Preprint 2024.08
Agentic IntelligenceUrban Science

LMP: Large Language Model Enhanced Intent-aware Mobility Prediction

Songwei Li, Jie Feng, Jiawei ChiINT, Xinyuan HuINT, Xiaomeng ZhaoINT, Fengli Xu

Preprint 2024.07
Spatial IntelligenceUrban Science

UrbanWorld: An Urban World Model for 3D City Generation

Yu Shang, Yuming Lin, Yu Zheng, Hangyu Fan, Jingtao Ding, Jie Feng, Jiansheng Chen, Li Tian, Yong Li

KDD 2024 ADS
ApplicationsSpatio-temporal Data Mining

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, Jie FengCA, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He

ACM TKDD 2023
Urban ScienceSpatio-temporal Data Mining

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

#1 Most Cited Paper in TKDD 2023

Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li

IEEE TKDE 2023
Spatio-temporal Data Mining

GODDAG: Generating Origin-Destination Flow for New Cities via Domain Adversarial Training

Can Rong, Jie Feng, Jingtao Ding

INFORMS Journal on Applied Analytics 2023
ApplicationsSpatio-temporal Data Mining

Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network

Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, and collaborators

AAAI 2021
Spatio-temporal Data Mining

AttnMove: History Enhanced Trajectory Recovery via Attentional Network

Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong LiCA

ACM TKDD 2021
Spatio-temporal Data Mining

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency

Jie Feng, Yong Li, Ziqian LinINT, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin

IJCAI 2020
Spatio-temporal Data Mining

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling

Jie Feng, Ziqian LinINT, Tong Xia, Funing Sun, Diansheng Guo, Yong Li

IEEE TMC 2020
Spatio-temporal Data Mining

DeepMM: Deep Learning Based Map Matching with Data Augmentation

Jie Feng, Yong Li, Kai Zhao, Zhao XuINT, Tong Xia, Lin Chen, Depeng Jin

KDD 2020
Spatio-temporal Data Mining

Learning to Simulate Human Mobility

#2 Most Influential Paper in KDD 2020 AI for COVID-19 Track

Jie Feng, Zeyu YangINT, Fengli Xu, Haisu YuINT, Mudan Wang, Yong Li

IMWUT/UbiComp 2020
Urban ScienceSpatio-temporal Data Mining

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning

#2 Most Cited Paper in UbiComp 2020

Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li

IEEE TKDE 2020
Spatio-temporal Data Mining

Predicting Human Mobility with Semantic Motivation via Multi-task Attentional Recurrent Networks

Jie Feng, Yong Li, Zeyu YangINT, Qiang Qiu, Depeng Jin

IEEE TKDE 2020
Spatio-temporal Data Mining

User Identity Linkage via Co-Attentional Neural Network From Heterogeneous Mobility Data

Jie Feng, Yong Li, Zeyu YangINT, Mingyang Zhang, Huandong Wang, Han CaoINT, Depeng Jin

AAAI 2019
Urban ScienceSpatio-temporal Data Mining

DeepDPM: Dynamic Population Mapping via Deep Neural Network

Zefang ZongINTEQ, Jie FengEQ, Kechun LiuINT, Hongzhi Shi, Yong Li

AAAI 2019
Spatio-temporal Data Mining

DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

Ziqian LinINTEQ, Jie FengEQ, Ziyang LuINT, Yong Li, Depeng Jin

WWW 2019
Urban ScienceSpatio-temporal Data Mining

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data

Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu YangINT, Chao Zhang, Yong Li, Depeng Jin

IEEE Network 2018
Spatio-temporal Data Mining

DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction

Jie Feng, Xinlei Chen, Rundong GaoINT, Ming Zeng, Yong Li

UbiComp 2018
Urban ScienceSpatio-temporal Data Mining

Uniqueness in the City: Urban Morphology and Location Privacy

Hancheng CaoINT, Jie Feng, Yong Li, Vassilis Kostakos

UbiComp 2016
Urban ScienceSpatio-temporal Data Mining

Context-aware Real-time Population Estimation for Metropolis

Honorable Mention Award at UbiComp 2016

Fengli Xu, Jie Feng, Pengyu Zhang, Yong Li