Jie Feng

According to our database, Jie Feng authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.

Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin

ACM Trans. Knowl. Discov. Data, April, 2024

AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework.

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

CoRR, 2024

UrbanWorld: An Urban World Model for 3D City Generation.

Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li

CoRR, 2024

CityBench: Evaluating the Capabilities of Large Language Model as World Model.

Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li

CoRR, 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

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

Can Rong, Jie Feng, Jingtao Ding

IEEE Trans. Knowl. Data Eng., October, 2023

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

ACM Trans. Knowl. Discov. Data, January, 2023

Inferring Origin-Destination Flows From Population Distribution.

Can Rong, Tong Li, Jie Feng, Yong Li

IEEE Trans. Knowl. Data Eng., 2023

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.

Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li

CoRR, 2023

2022

DeepMM: Deep Learning Based Map Matching With Data Augmentation.

Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin

IEEE Trans. Mob. Comput., 2022

DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.

Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li

IEEE Trans. Knowl. Data Eng., 2022

User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data.

Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin

IEEE Trans. Knowl. Data Eng., 2022

Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks.

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

IEEE Trans. Knowl. Data Eng., 2022

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

ACM Trans. Knowl. Discov. Data, 2022

Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network.

Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li

ACM Trans. Intell. Syst. Technol., 2022

2021

3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction.

Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin

ACM Trans. Knowl. Discov. Data, 2021

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.

Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li

CoRR, 2021

Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data.

Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

One-shot Transfer Learning for Population Mapping.

Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AttnMove: History Enhanced Trajectory Recovery via Attentional Network.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.

Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao

ACM Trans. Intell. Syst. Technol., 2020

Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network.

Yue Yu, Tong Xia, Huandong Wang, Jie Feng, Yong Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

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

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Learning to Simulate Human Mobility.

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data.

Hancheng Cao, Jagan Sankaranarayanan, Jie Feng, Yong Li, Hanan Samet

ACM Trans. Spatial Algorithms Syst., 2019

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

Proceedings of the World Wide Web Conference, 2019

Deep learning models for population flow generation from aggregated mobility data.

Can Rong, Jie Feng, Yong Li

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

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

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DeepDPM: Dynamic Population Mapping via Deep Neural Network.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data.

Jie Feng, Yong Li, Fengli Xu, Depeng Jin

Sensors, 2018

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

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

IEEE Netw., 2018

Uniqueness in the City: Urban Morphology and Location Privacy.

Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks.

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

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018