Jie Feng

77 papers A* 9A 2Journal 54Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
ACM Comput. Surv.
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2025 J jnl
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science.
CoRR
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
2025 J jnl
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction.
IEEE Trans. Knowl. Data Eng.
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2025 J jnl
AI Agent Behavioral Science.
CoRR
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
2025 — conf
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.
NAACL (Long Papers)
Jie Feng, Yuwei Du, Jie Zhao, Yong Li
2025 — conf
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment.
EMNLP (Industry Track)
Xiaochong Lan, Jie Feng, Yinxing Liu, Xinleishi, Yong Li
2025 J jnl
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment.
CoRR
Xiaochong Lan, Jie Feng, Yinxing Liu, Xinlei Shi, Yong Li
2025 — conf
Benchmarking and Advancing Large Language Models for Local Life Services.
KDD (2)
Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li
2025 J jnl
Benchmarking and Advancing Large Language Models for Local Life Services.
CoRR
Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li
2025 J jnl
CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation.
CoRR
Yuwei Du, Jie Feng, Jian Yuan, Yong Li
2025 — conf
CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks.
KDD (2)
Jie Feng, Jun Zhang, Tianhui Liu, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi Guo, Yong Li
2025 — conf
CityGPT: Empowering Urban Spatial Cognition of Large Language Models.
KDD (2)
Jie Feng, Tianhui Liu, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li
2025 J jnl
CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing.
CoRR
Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li
2025 J jnl
CityRiSE: Reasoning Urban Socio-Economic Status in Vision-Language Models via Reinforcement Learning.
CoRR
Tianhui Liu, Hetian Pang, Xin Zhang, Jie Feng, Yong Li, Pan Hui
2025 — conf
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics.
ACL (1)
Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li
2025 J jnl
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics.
CoRR
Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li
2025 — conf
Depression Detection on Social Media with Large Language Models.
EMNLP (Industry Track)
Xiaochong Lan, Zhiguang Han, Yiming Cheng, Li Sheng, Jie Feng, Chen Gao, Yong Li
2025 — conf
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning.
EMNLP (Findings)
Shengyuan Wang, Jie Feng, Tianhui Liu, Dan Pei, Yong Li
2025 J jnl
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning.
CoRR
Shengyuan Wang, Jie Feng, Tianhui Liu, Dan Pei, Yong Li
2025 J jnl
MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning.
CoRR
Fanjin Meng, Yuan Yuan, Jingtao Ding, Jie Feng, Chonghua Han, Yong Li
2025 — conf
Open-Set Living Need Prediction with Large Language Models.
ACL (Findings)
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li
2025 J jnl
Open-Set Living Need Prediction with Large Language Models.
CoRR
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li
2025 J jnl
RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale.
CoRR
Shengyuan Wang, Zhiheng Zheng, Yu Shang, Lixuan He, Yangcheng Yu, Fan Hangyu, Jie Feng, Qingmin Liao, Yong Li
2025 J jnl
RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios.
CoRR
Jun Zhang, Jie Feng, Long Chen, Junhui Wang, Zhicheng Liu, Depeng Jin, Yong Li
2025 J jnl
Toward large reasoning models: A survey of reinforced reasoning with large language models.
Patterns
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
2025 J jnl
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
CoRR
Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li
2025 J jnl
TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Control.
CoRR
Yuwei Du, Jun Zhang, Jie Feng, Zhicheng Liu, Jian Yuan, Yong Li
2025 J jnl
UniMove: A Unified Model for Multi-city Human Mobility Prediction.
CoRR
Chonghua Han, Yuan Yuan, Yukun Liu, Jingtao Ding, Jie Feng, Yong Li
2025 J jnl
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding.
CoRR
Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li
2025 J jnl
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models.
CoRR
Yu Zheng, Longyi Liu, Yuming Lin, Jie Feng, Guozhen Zhang, Depeng Jin, Yong Li
2024 J jnl
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework.
CoRR
Jie Feng, Yuwei Du, Jie Zhao, Yong Li
2024 J jnl
CityBench: Evaluating the Capabilities of Large Language Model as World Model.
CoRR
Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li
2024 J jnl
CityGPT: Empowering Urban Spatial Cognition of Large Language Models.
CoRR
Jie Feng, Yuwei Du, Tianhui Liu, Siqi Guo, Yuming Lin, Yong Li
2024 A* conf
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.
KDD
Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He
2024 J jnl
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data
Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin
2024 J jnl
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction.
CoRR
Songwei Li, Jie Feng, Jiawei Chi, Xinyuan Hu, Xiaomeng Zhao, Fengli Xu
2024 J jnl
OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents.
CoRR
Yuwei Yan, Qingbin Zeng, Zhiheng Zheng, Jingzhe Yuan, Jie Feng, Jun Zhang, Fengli Xu, Yong Li
2024 J jnl
TrajAgent: An Agent Framework for Unified Trajectory Modelling.
CoRR
Yuwei Du, Jie Feng, Jie Zhao, Yong Li
2024 J jnl
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
CoRR
Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2024 A* conf
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.
KDD
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2024 J jnl
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.
CoRR
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2024 J jnl
UrbanWorld: An Urban World Model for 3D City Generation.
CoRR
Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li
2023 J jnl
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
ACM Trans. Knowl. Discov. Data
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
2023 J jnl
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.
IEEE Trans. Knowl. Data Eng.
Can Rong, Jie Feng, Jingtao Ding
2023 J jnl
Inferring Origin-Destination Flows From Population Distribution.
IEEE Trans. Knowl. Data Eng.
Can Rong, Tong Li, Jie Feng, Yong Li
2023 J jnl
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.
CoRR
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li
2022 J jnl
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.
ACM Trans. Knowl. Discov. Data
Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
2022 J jnl
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network.
ACM Trans. Intell. Syst. Technol.
Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li
2022 J jnl
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.
IEEE Trans. Knowl. Data Eng.
Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li
2022 J jnl
DeepMM: Deep Learning Based Map Matching With Data Augmentation.
IEEE Trans. Mob. Comput.
Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin
2022 J jnl
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks.
IEEE Trans. Knowl. Data Eng.
Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin
2022 J jnl
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data.
IEEE Trans. Knowl. Data Eng.
Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin
2021 J jnl
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction.
ACM Trans. Knowl. Discov. Data
Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin
2021 A* conf
AttnMove: History Enhanced Trajectory Recovery via Attentional Network.
AAAI
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
2021 J jnl
AttnMove: History Enhanced Trajectory Recovery via Attentional Network.
CoRR
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
2021 J jnl
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
CoRR
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li
2021 A conf
One-shot Transfer Learning for Population Mapping.
CIKM
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
2021 J jnl
One-shot Transfer Learning for Population Mapping.
CoRR
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
2021 — conf
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data.
SIGSPATIAL/GIS
Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li
2020 A* conf
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling.
IJCAI
Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
2020 J jnl
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.
ACM Trans. Intell. Syst. Technol.
Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao
2020 A* conf
Learning to Simulate Human Mobility.
KDD
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
2020 J jnl
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
2020 J jnl
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yue Yu, Tong Xia, Huandong Wang, Jie Feng, Yong Li
2019 A* conf
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.
WWW
Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin
2019 — conf
Deep learning models for population flow generation from aggregated mobility data.
UbiComp/ISWC Adjunct
Can Rong, Jie Feng, Yong Li
2019 A* conf
DeepDPM: Dynamic Population Mapping via Deep Neural Network.
AAAI
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
2019 — conf
DeepMM: Deep Learning Based Map Matching with Data Augmentation.
SIGSPATIAL/GIS
Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
2019 A* conf
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis.
AAAI
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin
2019 A conf
Learning Phase Competition for Traffic Signal Control.
CIKM
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 J jnl
Learning Phase Competition for Traffic Signal Control.
CoRR
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019 J jnl
Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data.
ACM Trans. Spatial Algorithms Syst.
Hancheng Cao, Jagan Sankaranarayanan, Jie Feng, Yong Li, Hanan Samet
2018 J jnl
A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data.
Sensors
Jie Feng, Yong Li, Fengli Xu, Depeng Jin
2018 J jnl
DeepDPM: Dynamic Population Mapping via Deep Neural Network.
CoRR
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
2018 A* conf
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks.
WWW
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin
2018 J jnl
DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction.
IEEE Netw.
Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li
2018 J jnl
Uniqueness in the City: Urban Morphology and Location Privacy.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos