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Crowd3D: Towards Hundreds of People Reconstruction from a Single Image.

, , , , , , and . CVPR, page 8937-8946. IEEE, (2023)

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Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks., , , , , and . IEEE Trans. Serv. Comput., 16 (1): 642-655 (January 2023)Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services., , , , and . IEEE Trans. Serv. Comput., 16 (4): 2786-2799 (July 2023)MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation., , , and . IEEE Trans. Serv. Comput., 15 (2): 918-930 (2022)PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation., , , and . ICWS, page 42-49. IEEE, (2018)QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation., , , , and . SCC, page 202-209. IEEE, (2019)Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network., , , , and . ICWS, page 397-405. IEEE, (2021)A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph., , , and . ICWS, page 338-346. IEEE, (2020)Crowd3D: Towards Hundreds of People Reconstruction from a Single Image., , , , , , and . CVPR, page 8937-8946. IEEE, (2023)From Text to CQL: Bridging Natural Language and Corpus Search Engine., , , , , , , , , and 1 other author(s). CoRR, (2024)REST: Reciprocal Framework for Spatiotemporal-coupled Predictions., , , and . WWW, page 3136-3145. ACM / IW3C2, (2021)