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Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs.

, , , , and . ACM Trans. Design Autom. Electr. Syst., 15 (2): 13:1-13:41 (2010)

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Ensembled CTR Prediction via Knowledge Distillation., , , , , , and . CIKM, page 2941-2958. ACM, (2020)OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction., , , , , and . ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 567-584. Springer, (2023)Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs., , , , and . ACM Trans. Design Autom. Electr. Syst., 15 (2): 13:1-13:41 (2010)JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation., , , and . SIGIR, page 1681-1684. ACM, (2020)A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data., , , , , and . SIGIR, page 831-840. ACM, (2020)Influence Function for Unbiased Recommendation., , , , , , and . SIGIR, page 1929-1932. ACM, (2020)Counterfactual learning for recommender system., , , , , , , and . RecSys, page 568-569. ACM, (2020)Debiased Representation Learning in Recommendation via Information Bottleneck., , , , , , and . Trans. Recomm. Syst., 1 (1): 1-27 (March 2023)DIWIFT: Discovering Instance-wise Influential Features for Tabular Data., , , , , , , , and . WWW, page 1673-1682. ACM, (2023)DIWIFT: Discovering Instance-wise Influential Features for Tabular Data., , , , , , , , and . CoRR, (2022)