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2020 – today
- 2024
[j7]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): 21:1-21:24 (2024)- [j6]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): 53:1-53:22 (2024) - [i2]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 abs/2404.15034 (2024) - 2023
- [j5]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): 9:1-9:21 (2023) - 2022
- [j4]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): 49:1-49:21 (2022) - 2021
- [j3]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): 110:1-110:21 (2021) - [c9]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI 2021: 4494-4502 - [c8]Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui:
Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. ICDM 2021: 1475-1480 - [i1]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. CoRR abs/2101.00646 (2021) - 2020
- [j2]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): 10:1-10:21 (2020) - [c7]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: 1331-1337
2010 – 2019
- 2019
- [c6]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: 452-455 - [c5]Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin:
State-Sharing Sparse Hidden Markov Models for Personalized Sequences. KDD 2019: 1549-1559 - [c4]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: 774-782 - [c3]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: 3363-3369 - [c2]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: 3405-3412 - 2018
- [j1]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): 46:1-46:25 (2018) - [c1]Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin:
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. WWW 2018: 1459-1468
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