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Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation., , , and . IJCAI, page 4620-4626. ijcai.org, (2019)Inferring Dockless Shared Bike Distribution in New Cities., , and . WSDM, page 378-386. ACM, (2018)DMDP: A Dynamic Multi-source Default Probability Prediction Framework., , and . Data Sci. Eng., 4 (1): 3-13 (2019)Energy Efficient Resource Allocation for Time-Varying OFDMA Relay Systems with Hybrid Energy Supplies., , , , , and . CoRR, (2016)Explaining Latent Factor Models for Recommendation with Influence Functions., , , and . CoRR, (2018)Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City., , and . KDD, page 566-575. ACM, (2018)Finish Them on the Fly: An Incentive Mechanism for Real-Time Spatial Crowdsourcing., , , and . DASFAA (2), volume 12113 of Lecture Notes in Computer Science, page 694-710. Springer, (2020)Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis., , , , , and . IEEE Trans. Medical Imaging, 41 (1): 145-157 (2022)Dual-Embedding based Deep Latent Factor Models for Recommendation., , , and . ACM Trans. Knowl. Discov. Data, 15 (5): 85:1-85:24 (2021)SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles., , , and . Inf. Sci., (2018)