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Shenggong Ji
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Year
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
100*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
722016
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
592020
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
502015
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
372019
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
332020
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
312019
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
31*2017
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
Europhysics Letters 107 (4), 48001, 2014
232014
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 35 (4), 3912-3924, 2021
212021
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
192021
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 35 (5), 4621-4633, 2022
172022
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 35 (2), 2133-2146, 2021
162021
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
IEEE Transactions on Knowledge and Data Engineering, 2023
142023
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting
M Ma, P Xie, F Teng, B Wang, S Ji, J Zhang, T Li
Information Sciences 648, 119580, 2023
122023
Fedcke: Cross-domain knowledge graph embedding in federated learning
W Huang, J Liu, T Li, S Ji, D Wang, T Huang
IEEE Transactions on Big Data, 2022
92022
Shengdong Du, Fei Teng, and Junbo Zhang. 2021. Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding
J Liu, T Li, S Ji, P Xie
IEEE TKDE, 2021
82021
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
82019
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
72020
SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection
J Liu, W Huang, H Li, S Ji, Y Du, T Li
Information Sciences 640, 119063, 2023
42023
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