Funing Sun

According to our database, Funing Sun authored at least 15 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

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

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

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

Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction.

Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui

Proceedings of the IEEE International Conference on Data Mining, 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

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

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

No More than What I Post: Preventing Linkage Attacks on Check-in Services.

Fengli Xu, Zhen Tu, Hongjia Huang, Shuhao Chang, Funing Sun, Diansheng Guo, Yong Li

Proceedings of the World Wide Web Conference, 2019

Understanding Urban Dynamics via State-sharing Hidden Markov Model.

Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li

Proceedings of the World Wide Web Conference, 2019

Semantics-Aware Hidden Markov Model for Human Mobility.

Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

State-Sharing Sparse Hidden Markov Models for Personalized Sequences.

Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

2018

Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data.

Fengli Xu, Tong Xia, Hancheng Cao, Yong Li, Funing Sun, Fanchao Meng

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