Author

Xuejun Song

Associate Professor, Southern University of Science and Technology; and The University of Tokyo - Cited by 5,054 - Artificial Intelligence - Data Mining - Urban Computing

Biography

Dr. Xuejun Song is an Assistant Professor in the Department of Physiological Sciences, Southern University of Science and Technology, Shenzhen, Guangdong, China. His research interest includes Speech Science, Hearing Science, etc. He has published more than 10 publications and the articles are informative and got good citations.
Title
Cited by
Year
Challenges and future directions of secure federated learning: a survey
K Zhang, X Song, C Zhang, S YuFrontiers of computer science 16, 1-8, 2022202
34
2022
Multi-modal graph interaction for multi-graph convolution network in urban spatiotemporal forecasting
L Zhang, X Geng, Z Qin, H Wang, X Wang, Y Zhang, J Liang, G Wu, ...Sustainability 14 (19), 12397, 2022202
28
2022
A multi-view multi-task learning framework for multi-variate time series forecasting
J Deng, X Chen, R Jiang, X Song, IW TsangIEEE Transactions on Knowledge and Data Engineering, 2022202
9
2022
Spatio-temporal meta-graph learning for traffic forecasting
R Jiang, Z Wang, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, ...Proceedings of the AAAI Conference on Artificial Intelligence 3 (), 808-8086, 2023202
7
2023
MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction
D Yin, R Jiang, J Deng, Y Li, Y Xie, Z Wang, Y Zhou, X Song, JS ShangGeoInformatica 2 (1), -105, 2023202
7
2023
A survey on data-driven covid-19 and future pandemic management
Y Tao, C Yang, T Wang, E Coltey, Y Jin, Y Liu, R Jiang, Z Fan, X Song, ...ACM computing surveys (7), 1-36, 2022202
5
2022
Mepognn: Metapopulation epidemic forecasting with graph neural networks
Q Cao, R Jiang, C Yang, Z Fan, X Song, R ShibasakiJoint European Conference on Machine Learning and Knowledge Discovery in …, 2022202
4
2022
Domain adversarial graph convolutional network based on rssi and crowdsensing for indoor localization
M Zhang, Z Fan, R Shibasaki, X SongIEEE Internet of Things Journal, 2023202
4
2023
Online trajectory prediction for metropolitan scale mobility digital twin
Z Fan, X Yang, W Yuan, R Jiang, Q Chen, X Song, R ShibasakiProceedings of the 30th International Conference on Advances in Geographic …, 2022202
4
2022
Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo
Z Chen, P Li, YX Jin, S Bharule, N Jia, W Li, X Song, R Shibasaki, ...Transport policy 12, 65-75, 20220
3
2023
Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo
Z Chen, P Li, Y Jin, Y Jin, J Chen, W Li, X Song, R Shibasaki, M Chen, ...Cities 18, 103803, 0
2
2022
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Y Li, Z Fan, D Yin, R Jiang, J Deng, X SongWorld Wide Web, 1-4, 0
2
2022
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility
Y Li, Z Fan, J Zhang, D Shi, T Xu, D Yin, J Deng, X SongProceedings of the 3st ACM International Conference on Information …, 2022202
1
2022
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset
H Ma, M Zhou, X Ouyang, D Yin, R Jiang, X Song2022 IEEE 25th International Conference on Intelligent Transportation …, 2022202
1
2022
A Geomagnetic Sensor Dataset for Traffic Flow Prediction
H Wang, Q Chen, Z Dong, X Song, H Tian, D Yang, M Liu2022 IEEE International Conference on Big Data (Big Data), 249-2422, 2022202
1
2022
Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation
H Wang, Z Zhang, Z Fan, J Chen, L Zhang, R Shibasaki, X SongIEEE Transactions on Knowledge and Data Engineering, 2023202
1
2023
Understanding railway usage behavior with ten million GPS records
Y Jin, P Li, Z Chen, S Bharule, N Jia, J Chen, X Song, R Shibasaki, ...Cities 33, 047, 2023202
1
2023
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
R Jiang, Z Wang, Y Tao, C Yang, X Song, R Shibasaki, SC Chen, ...Proceedings of the ACM Web Conference 2023, 2655-2665, 2023202
1
2023
Route to time and time to route: Travel time estimation from sparse trajectories
Z Zhang, H Wang, Z Fan, J Chen, X Song, R ShibasakiJoint European Conference on Machine Learning and Knowledge Discovery in …, 2022202
1
2022
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
H Wang, J Chen, T Pan, Z Fan, X Song, R Jiang, L Zhang, Y Xie, Z Wang, ...Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4668-4675, 2023202
1
2023

Referred From: https://scholar.google.co.in/citations?user=_qCSLpMAAAAJ&hl=en

Cited by
Citations 5054
h-index 39
i10-index 104
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