Publication
* Equal contribution; # Correspondence; † Intern contributor
Preprints
- Mem4Nav: Boosting Vision-and-Language Navigation in Urban Environments with a Hierarchical Spatial-Cognition Long-Short Memory System
Lixuan He†, Haoyu Dong†, Zhenxing Chen†, Yangcheng Yu†, Jie Feng#, Yong Li#
preprint 2025.06 Codes PDF - CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation
Yuwei Du, Jie Feng#, Jian Yuan, Yong Li#
preprint 2025.06 Codes PDF - CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Tianhui Liu, Jie Feng#, Hetian Pang†, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li#
preprint 2025.06 Codes PDF - 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 2025.06 PDF - 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
preprint 2025.04 PDF - TrajAgent: An LLM-Based Agentic Framework for Automated Trajectory Modeling through Large and Small Model Collaboration
Yuwei Du*, Jie Feng*, Jie Zhao, Yong Li
preprint 2024.10 Codes PDF - LMP: Large Language Model Enhanced Intent-aware Mobility Prediction
Songwei Li, Jie Feng, Jiawei Chi†, Xinyuan Hu†, Xiaomeng Zhao†, Fengli Xu
preprint 2024.08 Codes PDF - Urban Generative Intelligence (UGI): A foundational platform for agents in embodied city environment
Fengli Xu*, Jun Zhang*, Chen Gao*, Jie Feng, Yong Li
preprint 2023.12 PDF
2025
- Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
ACM Computing Surveys Paper List | PDF - UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence
Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li
ICCV 2025 (CCF A) Codes PDF - CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
Jie Feng*, Jun Zhang*, Tianhui Liu*, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi Guo, Yong Li
KDD 2025 D&B (CCF A) Codes PDF - CityGPT: Empowering Urban Spatial Cognition of Large Language Models
Jie Feng*, Tianhui Liu*, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li
KDD 2025 Research (CCF A) Codes PDF - Benchmarking and Advancing Large Language Models for Local Life Services
Xiaochong Lan, Jie Feng#, Jiahuan Lei, Xinlei Shi, Yong Li#
KDD 2025 ADS (CCF A) Codes PDF - Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics
Wenrui Xu†*, Dalin Lyu†*, Weihang Wang†*, Jie Feng, Chen Gao, Yong Li
ACL 2025 Main (CCF A) PDF - Open-Set Living Need Prediction with Large Language Models
Xiaochong Lan, Jie Feng#, Yizhou Sun†, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li#
ACL 2025 Findings (CCF A) Codes PDF - AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
Jie Feng, Yuwei Du, Jie Zhao, Yong Li
NAACL 2025 Main (CCF B) Codes PDF
2024
- 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 Feng#, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He
KDD 2024 (CCF A) PDF Link - UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
KDD 2024 (CCF A) Codes(star 180) | PDF | Link | #5 Most Influential Paper at KDD 2024
2023
- 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, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, Jie Zheng, Ling Wang
INFORMS 2023 Link | Edelman Finalist Reward | PDF - Dynamic graph convolutional recurrent network for traffic prediction: benchmark and solution
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
TKDD 2023 (CCF B) Codes(star 299) | PDF | Link | #1 Most Cited Paper in TKDD 2023
Before 2023
- Research on the Prediction and Simulation of Urban Mobility
Jie Feng Ph.D Thesis 2021 - Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency
Jie Feng, Yong Li, Ziqian Lin†, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
TKDD 2021 (CCF B) Link - DeepMM: Deep Learning Based Map Matching with Data Augmentation
Jie Feng, Yong Li, Kai Zhao, Zhao Xu†, Tong Xia, Lin Chen, Depeng Jin
TMC 2020 (CCF A) Codes Link - Learning to Simulate Human Mobility
Jie Feng, Zeyu Yang†, Fengli Xu, Haisu Yu†, Mudan Wang, Yong Li
KDD 2020 (AI for COVID-19, CCF A) Codes PDF Link #2 Most Influential Paper in AI for COVID-19 Track of KDD 2020 - Predicting Human Mobility with Semantic Motivation via Multi-task Attentional Recurrent Networks
Jie Feng, Yong Li, Zeyu Yang†, Qiang Qiu, Depeng Jin
TKDE 2020 (CCF A) PDF Link - A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
Jie Feng, Ziqian Lin†, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
IJCAI 2020 (CCF A) PDF Link - User Identity Linkage via Co-Attentional Neural Network From Heterogeneous Mobility Data
Jie Feng, Yong Li, Zeyu Yang†, Mingyang Zhang, Huandong Wang, Han Cao†, Depeng Jin
TKDE 2020 (CCF A) PDF Link - PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
IMWUT/UbiComp 2020 (CCF A) PDF Link #1 Most Cited Paper in UbiComp 2020 - DeepMM: Deep Learning Based Map Matching with Data Augmentation
Kai Zhao, Jie Feng, Zhao Xu†, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
SIGSPATIAL 2019 PDF Link - DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang†, Chao Zhang, Yong Li, Depeng Jin
WWW 2019 (CCF A) Codes and Data PDF Link - DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin†*, Jie Feng*, Ziyang Lu†, Yong Li, Depeng Jin
AAAI 2019 (CCF A) Codes(star 66) PDF Link * Equal contribution - DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong†*, Jie Feng*, Kechun Liu†, Hongzhi Shi, Yong Li
AAAI 2019 (CCF A) PDF Link * Equal contribution - DeepMove: Predicting Human Mobility with Atentional Recurrent Networks
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin.
WWW 2018 (CCF A) Codes(star 151) PDF Link #5 Most Influential Paper in WWW 2018 - DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction
Jie Feng, Xinlei Chen, Rundong Gao†, Ming Zeng, Yong Li
IEEE Network 2018, PDF Link - Context-aware Real-time Population Estimation for Metropolis
Fengli Xu, Jie Feng, Pengyu Zhang, Yong Li
Ubicomp 2016 (Honorable mention award, CCF A) PDF Link Project