Publications · Jie Feng

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

PDF Link

2026

Preprint 2026.04

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

Shiteng Cao, Xiaochong Lan, Yuwei Du, Jie Feng^†, Yinxing Liu, Xinlei Shi, Yong Li^†

PDF

2026

ICLR 2026CCF A / CORE A*

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

Tianhui Liu, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Jie Feng^†, Yong Li, Hui Pan

Code PDF Project Blog Series 中文介绍

2026

NeurIPS 2026 OralCCF A / CORE A*

APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents

Quan Zheng, Yan Gao, Shaobin He, Haoxiang Guan, Yuanhe Tian, Jie Feng, Ming Wang, Shuxin Zheng, Zhen Liu

Paper Inference Series Social Intelligence Series

2026

PLOS Complex Systems · 2026

Towards a Foundational Platform for Generative Agents in Simulated City Environment

Fengli Xu^*, Jun Zhang^*, Chen Gao^*, Peijie Liu, Jie Feng, Yong Li

Link

2025

Preprint 2025.12

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

Chuyue Wang, Jie Feng^†, Yuxi Wu, Hang Zhang, Zhiguo Fan, Bing Cheng, Wei Lin

PDF

2025

Preprint 2025.12

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

Yuwei Du, Jun Zhang, Jie Feng^†, Zhicheng Liu, Jian Yuan, Yong Li^†

Code PDF

2025

Cell Patterns · 2025

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

Fengli Xu^*, Qianyue Hao^*, Chenyang Shao^*, Zefang Zong^*, Yu Li^*, 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

PDF Link

2025

Preprint 2025.09

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

List Link

2025

EMNLP 2025 Industry

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

Xiaochong Lan, Jie Feng^†, Yinxing Liu, Xinleishi, Yong Li^†

Code PDF

2025

EMNLP 2025 Industry

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

PDF

2025

NeurIPS 2025CCF A / CORE A*

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

Yuwei Du^*, Jie Feng^*^†, Jie Zhao, Yong Li^†

Paper Code arXiv Project Social Intelligence Series

2025

EMNLP 2025 Findings

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

Shengyuan Wang, Jie Feng^†, Tianhui Liu, Dan Pei, Yong Li^†

Code PDF Series Paper

2025

ACM Computing Surveys · 2025

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

Jingtao Ding^*, Yunke Zhang^*, Yu Shang^*, Jie Feng^*, Yuheng Zhang, Zefang Zong, Yuan Yuan, Hongyuan Su, Nian Li, Jinghua Piao, Yucheng Deng, Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li

List PDF Link

2025

ICCV 2025CCF A / CORE A*

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

Code PDF Project Series

2025

KDD 2025 ADSCCF A / CORE A*

Benchmarking and Advancing Large Language Models for Local Life Services

Xiaochong Lan, Jie Feng^†, Jiahuan Lei, Xinlei Shi, Yong Li^†

Code PDF

2025

KDD 2025 D&BCCF A / CORE A*

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

Code PDF Series

2025

KDD 2025 ResearchCCF A / CORE A*

CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Jie Feng^*, Tianhui Liu^*, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li

Code PDF Project Series

2025

Preprint 2025.04

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

PDF

2025

NAACL 2025CCF B / CORE A

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

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

Code PDF Paper

2025

ACL 2025CCF A / CORE A*

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

PDF

2025

ACL 2025 Findings

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^†

Code PDF

2024

IEEE Transactions on Intelligent Transportation Systems · 2024CCF B

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

Link

2024

Preprint 2024.08

LMP: Large Language Model Enhanced Intent-aware Mobility Prediction

Songwei Li, Jie Feng, Jiawei Chi, Xinyuan Hu, Xiaomeng Zhao, Fengli Xu

Code PDF

2024

Preprint 2024.07

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

Code PDF

2024

KDD 2024 ADSCCF A / CORE A*

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

PDF Link

2024

KDD 2024 ResearchCCF A / CORE A*

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li

#3 Most Influential Paper at KDD 2024

Code PDF Link

2023

ACM TKDD · 2023CCF B

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

#1 Most Cited Paper in TKDD 2023

Code PDF Paper

2023

IEEE TKDE · 2023CCF A

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

Can Rong, Jie Feng, Jingtao Ding

Link

2023

INFORMS Journal on Applied Analytics · 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, and collaborators

INFORMS Edelman Award Finalist

PDF Link

2021

AAAI 2021CCF A / CORE A*

AttnMove: History Enhanced Trajectory Recovery via Attentional Network

Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li^†

PDF Link

2021

ACM TKDD · 2021CCF B

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

Link

2020

IJCAI 2020CCF A / CORE A*

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

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

PDF Link

2020

IEEE TMC · 2020CCF A

DeepMM: Deep Learning Based Map Matching with Data Augmentation

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

Code Link Short Paper

2020

KDD 2020CCF A / CORE A*

Learning to Simulate Human Mobility

Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li

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

Code PDF Paper

2020

IMWUT/UbiComp 2020CCF A / CORE A

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

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

#2 Most Cited Paper in UbiComp 2020

PDF Link

2020

IEEE TKDE · 2020CCF A

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

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

PDF Link

2020

IEEE TKDE · 2020CCF A

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

PDF Link

2019

CIKM 2019CCF B / CORE A

Learning Phase Competition for Traffic Signal Control

Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li

#10 Most Influential Paper in CIKM 2019

PDF Link

2019

AAAI 2019CCF A / CORE A*

DeepDPM: Dynamic Population Mapping via Deep Neural Network

Zefang Zong^*, Jie Feng^*, Kechun Liu, Hongzhi Shi, Yong Li

PDF Link

2019

AAAI 2019CCF A / CORE A*

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

Ziqian Lin^*, Jie Feng^*, Ziyang Lu, Yong Li, Depeng Jin

Code PDF Paper

2019

WWW 2019CCF A / CORE A*

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

Code PDF Link

2018

WWW 2018CCF A / CORE A*

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin

#4 Most Influential Paper in WWW 2018

Code PDF Link

2018

IEEE Network · 2018

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

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

PDF Link

2018

UbiComp 2018CCF A / CORE A

Uniqueness in the City: Urban Morphology and Location Privacy

Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos

PDF Link

2016

UbiComp 2016CCF A / CORE A

Context-aware Real-time Population Estimation for Metropolis

Fengli Xu, Jie Feng, Pengyu Zhang, Yong Li

Honorable Mention Award at UbiComp 2016

PDF Link Project

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