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Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation., , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4831-4843. Association for Computational Linguistics, (2021)SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions., , , and . CIDR, www.cidrdb.org, (2024)Efficient (a,β)-core Computation: an Index-based Approach., , , , , and . WWW, page 1130-1141. ACM, (2019)Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention., , , , , , and . CoRR, (2021)Taming the Expressiveness and Programmability of Graph Analytical Queries., , , , , , , , and . CoRR, (2020)Dynamic Scaling for Parallel Graph Computations., , , , , and . Proc. VLDB Endow., 12 (8): 877-890 (2019)Distributed Subgraph Matching on Timely Dataflow., , , , , , , , , and 3 other author(s). Proc. VLDB Endow., 12 (10): 1099-1112 (2019)ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce., , , , , , and . ICDE, page 2499-2510. IEEE, (2021)ViM: Vision Middleware for Unified Downstream Transferring., , , , , , and . ICCV, page 11662-11673. IEEE, (2023)Reliable Adversarial Distillation with Unreliable Teachers., , , , , , , , and . CoRR, (2021)