Funing Sun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Spatio Temporal

Convolutional Network

Top Venues

ACM Trans. Knowl. Discov. Data

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Funing Sun, Yong Li
Demand-driven Urban Facility Visit Prediction. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. 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)
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)
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)
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. CoRR (2021)
Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui
Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. ICDM (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)
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI (2021)
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)
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)
Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
Understanding Urban Dynamics via State-sharing Hidden Markov Model. WWW (2019)
Fengli Xu, Zhen Tu, Hongjia Huang, Shuhao Chang, Funing Sun, Diansheng Guo, Yong Li
No More than What I Post: Preventing Linkage Attacks on Check-in Services. WWW (2019)
Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng
Semantics-Aware Hidden Markov Model for Human Mobility. SDM (2019)
Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin
State-Sharing Sparse Hidden Markov Models for Personalized Sequences. KDD (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)
Fengli Xu, Tong Xia, Hancheng Cao, Yong Li, Funing Sun, Fanchao Meng
Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (1) (2018)