Shenggong Ji
Cited by
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Local structure can identify and quantify influential global spreaders in large scale social networks
Y Hu, S Ji, Y Jin, L Feng, HE Stanley, S Havlin
Proceedings of the National Academy of Sciences 115 (29), 7468-7472, 2018
Urban sensing based on human mobility
S Ji, Y Zheng, T Li
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Location selection for ambulance stations: a data-driven approach
Y Li, Y Zheng, S Ji, W Wang, Z Gong
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in …, 2015
Effective spreading from multiple leaders identified by percolation in the susceptible-infected-recovered (SIR) model
S Ji, L Lü, CH Yeung, Y Hu
New Journal of Physics 19 (7), 073020, 2017
Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning
S Ji, Z Wang, T Li, Y Zheng
Knowledge-Based Systems 205, 106302, 2020
Multiple hybrid phase transition: Bootstrap percolation on complex networks with communities
C Wu, S Ji, R Zhang, L Chen, J Chen, X Li, Y Hu
EPL (Europhysics Letters) 107 (4), 48001, 2014
Predicting and ranking box office revenue of movies based on big data
Z Wang, J Zhang, S Ji, C Meng, T Li, Y Zheng
Information Fusion 60, 25-40, 2020
A deep reinforcement learning-enabled dynamic redeployment system for mobile ambulances
S Ji, Y Zheng, Z Wang, T Li
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
Alleviating users' pain of waiting: Effective task grouping for online-to-offline food delivery services
S Ji, Y Zheng, Z Wang, T Li
The World Wide Web Conference, 773-783, 2019
Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding
J Liu, T Li, S Ji, P Xie, S Du, F Teng, J Zhang
IEEE Transactions on Knowledge and Data Engineering, 2021
Real-time ambulance redeployment: A data-driven approach
S Ji, Y Zheng, W Wang, T Li
IEEE Transactions on Knowledge and Data Engineering 32 (11), 2213-2226, 2019
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework
W Huang, J Liu, T Li, T Huang, S Ji, J Wan
IEEE Transactions on Knowledge and Data Engineering, 2021
Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant
Z Wang, C Meng, S Ji, T Li, Y Zheng
Applied Soft Computing 93, 106369, 2020
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
M Ma, P Xie, F Teng, T Li, B Wang, S Ji, J Zhang
arXiv preprint arXiv:2201.09101, 2022
Scalevlad: Improving multimodal sentiment analysis via multi-scale fusion of locally descriptors
H Luo, L Ji, Y Huang, B Wang, S Ji, T Li
arXiv preprint arXiv:2112.01368, 2021
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
P Xie, M Ma, T Li, S Ji, S Du, Z Yu, J Zhang
arXiv preprint arXiv:2204.02650, 2022
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning
Z Wang, Z Pan, S Chen, S Ji, X Yi, J Zhang, J Wang, Z Gong, T Li, ...
IEEE Transactions on Knowledge and Data Engineering, 2022
Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation
J Liu, W Huang, T Li, S Ji, J Zhang
IEEE Transactions on Knowledge and Data Engineering, 2022
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