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Unified Pretraining for Recommendation via Task Hypergraphs., , , , , , and . CoRR, (2023)Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation., , , , , , and . IEEE Big Data, page 393-402. IEEE, (2023)A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals., , , , , , , , , and 3 other author(s). ACM J. Emerg. Technol. Comput. Syst., 19 (2): 14:1-14:24 (April 2023)Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image., , , , , , , , , and . CVPR, page 234-243. Computer Vision Foundation / IEEE, (2019)Instruction-based Hypergraph Pretraining., , , , , , and . CoRR, (2024)Knowledge Graph Context-Enhanced Diversified Recommendation., , , , , , and . CoRR, (2023)Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph., , , , , , and . WSDM, page 769-777. ACM, (2023)Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model., , , , , , and . CoRR, (2023)Graph-based Alignment and Uniformity for Recommendation., , , , , , and . CIKM, page 4395-4399. ACM, (2023)Unified Pretraining for Recommendation via Task Hypergraphs., , , , , , and . WSDM, page 891-900. ACM, (2024)