Jie Feng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Top Venues

IEEE Trans. Knowl. Data Eng.

ACM Trans. Knowl. Discov. Data

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD (2024)
Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li
CityBench: Evaluating the Capabilities of Large Language Model as World Model. CoRR (2024)
Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li
UrbanWorld: An Urban World Model for 3D City Generation. CoRR (2024)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Can Rong, Jie Feng, Jingtao Ding
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Can Rong, Tong Li, Jie Feng, Yong Li
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21 (7) (2022)
Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. CoRR (2021)
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
One-shot Transfer Learning for Population Mapping. CoRR (2021)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR (2021)
Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li
One-shot Transfer Learning for Population Mapping. CIKM (2021)
Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. SIGSPATIAL/GIS (2021)
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI (2021)
Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. IJCAI (2020)
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Yue Yu, Tong Xia, Huandong Wang, Jie Feng, Yong Li
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (3) (2020)
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
Learning to Simulate Human Mobility. KDD (2020)
Hancheng Cao, Jagan Sankaranarayanan, Jie Feng, Yong Li, Hanan Samet
Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data. ACM Trans. Spatial Algorithms Syst. 5 (2) (2019)
Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
DeepMM: Deep Learning Based Map Matching with Data Augmentation. SIGSPATIAL/GIS (2019)
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. AAAI (2019)
Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. WWW (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CIKM (2019)
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
DeepDPM: Dynamic Population Mapping via Deep Neural Network. AAAI (2019)
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
Learning Phase Competition for Traffic Signal Control. CoRR (2019)
Can Rong, Jie Feng, Yong Li
Deep learning models for population flow generation from aggregated mobility data. UbiComp/ISWC Adjunct (2019)
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. WWW (2018)
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
DeepDPM: Dynamic Population Mapping via Deep Neural Network. CoRR (2018)
Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos
Uniqueness in the City: Urban Morphology and Location Privacy. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (2) (2018)
Jie Feng, Yong Li, Fengli Xu, Depeng Jin
A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data. Sensors 18 (10) (2018)
Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li
DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction. IEEE Netw. 32 (6) (2018)