Effective spreading from multiple leaders identified by percolation in the susceptible-infected-recovered (SIR) model von Ji, Shenggong, Lü, Linyuan, Yeung, Chi Ho, Hu, Yanqing

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A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances von Ji, Shenggong, Zheng, Yu, Wang, Zhaoyuan, Li, Tianrui

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Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning von Ji, Shenggong, Wang, Zhaoyuan, Li, Tianrui, Zheng, Yu

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Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation von Liu, Jia, Huang, Wei, Li, Tianrui, Ji, Shenggong, Zhang, Junbo

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Local structure can identify and quantify influential global spreaders in large scale social networks von Hu, Yanqing, Ji, Shenggong, Jin, Yuliang, Feng, Ling, Stanley, H. Eugene, Havlin, Shlomo

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Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding von Liu, Jia, Li, Tianrui, Ji, Shenggong, Xie, Peng, Du, Shengdong, Teng, Fei, Zhang, Junbo

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HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting von Ma, Minbo, Xie, Peng, Teng, Fei, Wang, Bin, Ji, Shenggong, Zhang, Junbo, Li, Tianrui

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Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction von Xie, Peng, Ma, Minbo, Li, Tianrui, Ji, Shenggong, Du, Shengdong, Yu, Zeng, Zhang, Junbo

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SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection von Liu, Jia, Huang, Wei, Li, Hao, Ji, Shenggong, Du, Yajun, Li, Tianrui

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Real-Time Ambulance Redeployment: A Data-Driven Approach von Ji, Shenggong, Zheng, Yu, Wang, Wenjun, Li, Tianrui

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Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning von Liu, Jia, Zhai, Donghai, Huang, Wei, Ji, Shenggong, Zhang, Junbo, Li, Tianrui

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Predicting and ranking box office revenue of movies based on big data von Wang, Zhaoyuan, Zhang, Junbo, Ji, Shenggong, Meng, Chuishi, Li, Tianrui, Zheng, Yu

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Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant von Wang, Zhaoyuan, Meng, Chuishi, Ji, Shenggong, Li, Tianrui, Zheng, Yu

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FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework von Huang, Wei, Liu, Jia, Li, Tianrui, Huang, Tianqiang, Ji, Shenggong, Wan, Jihong

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Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning von Wang, Zhaoyuan, Pan, Zheyi, Chen, Shun, Ji, Shenggong, Yi, Xiuwen, Zhang, Junbo, Wang, Jingyuan, Gong, Zhiguo, Li, Tianrui, Zheng, Yu

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Housing rental suggestion based on e-commerce data von Wang, Zhaoyuan, Chen, Shun, Ji, Shenggong, Pan, Zheyi, Meng, Chuishi, Zhang, Junbo, Li, Tianrui, Zheng, Yu

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FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning von Huang, Wei, Liu, Jia, Li, Tianrui, Ji, Shenggong, Wang, Dexian, Huang, Tianqiang

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Multiple hybrid phase transition: Bootstrap percolation on complex networks with communities von Wu, Chong, Ji, Shenggong, Zhang, Rui, Chen, Liujun, Chen, Jiawei, Li, Xiaobin, Hu, Yanqing

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Friend Ranking in Online Games via Pre-training Edge Transformers von Yao, Liang, Peng, Jiazhen, Ji, Shenggong, Liu, Qiang, Cai, Hongyun, He, Feng, Cheng, Xu

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Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction von Xie, Peng, Ma, Minbo, Li, Tianrui, Ji, Shenggong, Du, Shengdong, Yu, Zeng, Zhang, Junbo

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