DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. - Jie Feng 002; Yong Li 008; Chao Zhang 014; Funing Sun; Fanchao Meng; Ang Guo; Depeng Jin (WWW, 2018)

Uniqueness in the City: Urban Morphology and Location Privacy. - Hancheng Cao; Jie Feng 002; Yong Li 008; Vassilis Kostakos (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction. - Jie Feng 002; Xinlei Chen; Rundong Gao; Ming Zeng 004; Yong Li 008 (IEEE Netw., 2018)

A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data. - Jie Feng 002; Yong Li 008; Fengli Xu; Depeng Jin (Sensors, 2018)

DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. - Ziqian Lin; Jie Feng 002; Ziyang Lu; Yong Li 008; Depeng Jin (AAAI, 2019)

DeepDPM: Dynamic Population Mapping via Deep Neural Network. - Zefang Zong; Jie Feng 002; Kechun Liu; Hongzhi Shi; Yong Li 008 (AAAI, 2019)

Learning Phase Competition for Traffic Signal Control. - Guanjie Zheng; Yuanhao Xiong; Xinshi Zang; Jie Feng 002; Hua Wei 001; Huichu Zhang; Yong Li 008; Kai Xu 014; Zhenhui Li (CIKM, 2019)

DeepMM: Deep Learning Based Map Matching with Data Augmentation. - Kai Zhao; Jie Feng 002; Zhao Xu 006; Tong Xia; Lin Chen 002; Funing Sun; Diansheng Guo; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 2019)

Deep learning models for population flow generation from aggregated mobility data. - Can Rong; Jie Feng 002; Yong Li 008 (UbiComp/ISWC Adjunct, 2019)

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. - Jie Feng 002; Mingyang Zhang 004; Huandong Wang; Zeyu Yang; Chao Zhang 014; Yong Li 008; Depeng Jin (WWW, 2019)

Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data. - Hancheng Cao; Jagan Sankaranarayanan; Jie Feng 002; Yong Li 008; Hanan Samet (ACM Trans. Spatial Algorithms Syst., 2019)

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. - Jie Feng 002; Ziqian Lin; Tong Xia; Funing Sun; Diansheng Guo; Yong Li 008 (IJCAI, 2020)

Learning to Simulate Human Mobility. - Jie Feng 002; Zeyu Yang; Fengli Xu; Haisu Yu; Mudan Wang; Yong Li 008 (KDD, 2020)

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. - Jie Feng 002; Can Rong; Funing Sun; Diansheng Guo; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network. - Yue Yu; Tong Xia; Huandong Wang; Jie Feng 002; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. - Tong Xia; Yong Li 008; Jie Feng 002; Depeng Jin; Qing Zhang; Hengliang Luo; Qingmin Liao (ACM Trans. Intell. Syst. Technol., 2020)

AttnMove: History Enhanced Trajectory Recovery via Attentional Network. - Tong Xia; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Yong Li 008 (AAAI, 2021)

One-shot Transfer Learning for Population Mapping. - Erzhuo Shao; Jie Feng 002; Yingheng Wang; Tong Xia; Yong Li 008 (CIKM, 2021)

Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. - Zongyu Lin; Guozhen Zhang; Zhiqun He; Jie Feng 002; Wei Wu 021; Yong Li 008 (SIGSPATIAL/GIS, 2021)

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Fuxian Li; Jie Feng 002; Huan Yan; Guangyin Jin; Depeng Jin; Yong Li 008 (CoRR, 2021)

3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. - Tong Xia; Junjie Lin; Yong Li 008; Jie Feng 002; Pan Hui 001; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2021)

Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. - Fuxian Li; Jie Feng 002; Huan Yan; Depeng Jin; Yong Li 008 (ACM Trans. Intell. Syst. Technol., 2022)

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. - Jie Feng 002; Yong Li 008; Ziqian Lin; Can Rong; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2022)

Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. - Jie Feng 002; Yong Li 008; Zeyu Yang; Qiang Qiu; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2022)

User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. - Jie Feng 002; Yong Li 008; Zeyu Yang; Mingyang Zhang 004; Huandong Wang; Hancheng Cao; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2022)

DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. - Erzhuo Shao; Huandong Wang; Jie Feng 002; Tong Xia; Hedong Yang; Lu Geng; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2022)

DeepMM: Deep Learning Based Map Matching With Data Augmentation. - Jie Feng 002; Yong Li 008; Kai Zhao; Zhao Xu 006; Tong Xia; Jinglin Zhang; Depeng Jin (IEEE Trans. Mob. Comput., 2022)

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. - Fengli Xu; Jun Zhang 087; Chen Gao 001; Jie Feng 002; Yong Li 008 (CoRR, 2023)

Inferring Origin-Destination Flows From Population Distribution. - Can Rong; Tong Li 013; Jie Feng 002; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Fuxian Li; Jie Feng 002; Huan Yan; Guangyin Jin; Fan Yang; Funing Sun; Depeng Jin; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2023)

GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. - Can Rong; Jie Feng 002; Jingtao Ding (IEEE Trans. Knowl. Data Eng., 2023)

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. - Yuan Yuan 032; Jingtao Ding; Jie Feng 002; Depeng Jin; Yong Li 008 (KDD, 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 002; Chen Zhang; Xuetao Ding; Jinghua Hao; Renqing He (KDD, 2024)

CityBench: Evaluating the Capabilities of Large Language Model as World Model. - Jie Feng 002; Jun Zhang 087; Junbo Yan; Xin Zhang; Tianjian Ouyang; Tianhui Liu; Yuwei Du; Siqi Guo; Yong Li 008 (CoRR, 2024)

CityGPT: Empowering Urban Spatial Cognition of Large Language Models. - Jie Feng 002; Yuwei Du; Tianhui Liu; Siqi Guo; Yuming Lin 003; Yong Li 008 (CoRR, 2024)

UrbanWorld: An Urban World Model for 3D City Generation. - Yu Shang; Jiansheng Chen; Hangyu Fan; Jingtao Ding; Jie Feng 002; Yong Li 008 (CoRR, 2024)

AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework. - Jie Feng 002; Yuwei Du; Jie Zhao; Yong Li 008 (CoRR, 2024)

TrajAgent: An Agent Framework for Unified Trajectory Modelling. - Yuwei Du; Jie Feng 002; Jie Zhao; Yong Li 008 (CoRR, 2024)

OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents. - Yuwei Yan; Qingbin Zeng; Zhiheng Zheng; Jingzhe Yuan; Jie Feng 002; Jun Zhang 087; Fengli Xu; Yong Li 008 (CoRR, 2024)

Understanding World or Predicting Future? A Comprehensive Survey of World Models. - Jingtao Ding; Yunke Zhang; Yu Shang; Yuheng Zhang; Zefang Zong; Jie Feng 002; Yuan Yuan 032; Hongyuan Su; Nian Li; Nicholas Sukiennik; Fengli Xu; Yong Li 008 (CoRR, 2024)

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. - Tong Xia; Yong Li 008; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2024)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinleishi Xinleishi; Hengliang Luo; Yong Li 008 (ACL (Findings), 2025)

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. - Wenrui Xu; Dalin Lyu; Weihang Wang 010; Jie Feng 002; Chen Gao 001; Yong Li 008 (ACL (1), 2025)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction. - Jie Feng 002; Yuwei Du; Jie Zhao; Yong Li 008 (NAACL (Long Papers), 2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. - Fengli Xu; Qianyue Hao; Zefang Zong; Jingwei Wang 002; Yunke Zhang; Jingyi Wang 002; Xiaochong Lan; Jiahui Gong; Tianjian Ouyang; Fanjin Meng; Chenyang Shao; Yuwei Yan; et al. (CoRR, 2025)

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. - Jie Feng 002; Jinwei Zeng; Qingyue Long; Hongyi Chen; Jie Zhao; Yanxin Xi; Zhilun Zhou; Yuan Yuan 032; Shengyuan Wang; Qingbin Zeng; Songwei Li; Yunke Zhang; et al. (CoRR, 2025)

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models. - Yu Zheng 010; Longyi Liu; Yuming Lin 003; Jie Feng 002; Guozhen Zhang; Depeng Jin; Yong Li 008 (CoRR, 2025)

A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. - Yuan Yuan 032; Jingtao Ding; Jie Feng 002; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2025)

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing. - Tianhui Liu; Jie Feng 002; Hetian Pang; Xin Zhang; Tianjian Ouyang; Zhiyuan Zhang; Yong Li 008 (CoRR, 2025)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Yong Li 008 (CoRR, 2025)

Benchmarking and Advancing Large Language Models for Local Life Services. - Xiaochong Lan; Jie Feng 002; Jiahuan Lei; Xinlei Shi; Yong Li 008 (CoRR, 2025)

AI Agent Behavioral Science. - Lin Chen 002; Yunke Zhang; Jie Feng 002; Haoye Chai; Honglin Zhang; Bingbing Fan; Yibo Ma; Shiyuan Zhang; Nian Li; Tianhui Liu; Nicholas Sukiennik; Keyu Zhao; et al. (CoRR, 2025)

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding. - Jie Feng 002; Shengyuan Wang; Tianhui Liu; Yanxin Xi; Yong Li 008 (CoRR, 2025)

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning. - Shengyuan Wang; Jie Feng 002; Tianhui Liu; Dan Pei; Yong Li 008 (CoRR, 2025)

UniMove: A Unified Model for Multi-city Human Mobility Prediction. - Chonghua Han; Yuan Yuan 032; Yukun Liu; Jingtao Ding; Jie Feng 002; Yong Li 008 (CoRR, 2025)