Publication
* Equal contribution; # Correspondence; † Work done as Intern in the Lab
Preprints
- CityRiSE: Reasoning Urban Socio-Economic Status in Vision-Language Models via Reinforcement Learning
Tianhui Liu, Hetian Pang, Xin Zhang, Jie Feng#, Yong Li#, Pan Hui#
preprint 2025.10 Codes PDF MLLM Spatial Intelligence - CityLens: Benchmarking Large Vision-Language Models for Urban Socioeconomic Sensing
Tianhui Liu, Jie Feng#, Hetian Pang†, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li#
preprint 2025.06 Codes PDF MLLM Spatial Intelligence - CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation
Yuwei Du, Jie Feng#, Jian Yuan, Yong Li#
preprint 2025.06 Codes PDF Agent Human Behavior - OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents
Yuwei Yan, Qingbin Zeng, Zhiheng Zheng, Jingzhe Yuan, Jie Feng, Jun Zhang, Fengli Xu, Yong Li
preprint 2024.10 PDF Agent Human Behavior - 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 Agent Human Behavior - 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
preprint 2024.07 Codes PDF MLLM Spatial 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 2025.06 PDF Agent - 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 Spatial Intelligence - 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 Spatial Intelligence
2025
- TrajAgent: An LLM-Based Agentic Framework for Automated Trajectory Modeling through Large and Small Model Collaboration
Yuwei Du*, Jie Feng*, Jie Zhao, Yong Li
NeurIPS 2025 (CCF A) Codes PDF Agent - AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment
Xiaochong Lan, Jie Feng#, Yinxing Liu, Xinleishi, Yong Li#
EMNLP 2025 Industry (CCF B) PDF Agent - 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
EMNLP 2025 Industry (CCF B) PDF Agent Human Behavior - Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning
Shengyuan Wang, Jie Feng#, Tianhui Liu, Dan Pei, Yong Li#
EMNLP 2025 Findings (CCF B) Codes PDF LLM Spatial Intelligence - UniMove: A Unified Model for Multi-city Human Mobility Prediction
Chonghua Han, Yuan Yuan, Yukun Liu†, Jingtao Ding, Jie Feng, Yong Li
SIGSPAITAL 2025 Code PDF Human Behavior - Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning
Yuan Yuan, Yukun Liu†, Chonghua Han, Jie Feng, Yong Li
SIGSPAITAL 2025 Code PDF Human Behavior - 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 Spatial Intelligence - 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
ICCV 2025 (CCF A) Codes | PDF | Project Website MLLM Spatial Intelligence - 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 MLLM Spatial Intelligence - 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 LLM Spatial Intelligence - 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 LLM - 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 MLLM Spatial Intelligence - 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 Agent Human Behavior - 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 Agent Human Behavior
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 ADS (CCF A) PDF Link Human Behavior Decision Making - UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
KDD 2024 Research (CCF A) Codes(star 180) | PDF | Link | #3 Most Influential Paper at KDD 2024 Time Series
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 Decision Making - 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 Time Series - GODDAG: Generating Origin-destination Flow for New Cities via Domain Adversarial Training
Can Rong, Jie Feng, Jingtao Ding
TKDE 2023 (CCF A) PDF Time Series
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 Time Series - 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 Short Paper in SIGSPATIAL Spatial-temporal Data Mining - 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 Human Behavior - 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 Human Behavior - 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 Time Series - 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 Spatial-temporal Data Mining - 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 #2 Most Cited Paper in UbiComp 2020 Human Behavior - 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 Spatial-temporal Data Mining - 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 Time Series - 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 Spatial-temporal Data Mining - Uniqueness in the City: Urban Morphology and Location Privacy
Hancheng Cao†, Jie Feng, Yong Li, Vassilis Kostakos
UbiComp 2018 (CCF A) PDF Spatial-temporal Data Mining - 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 Human Behavior - 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 Time Series - 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 Spatial-temporal Data Mining