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Learning to Generate Questions by Learning What not to Generate., , , , , , and . CoRR, (2019)Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation., , , , , , and . CIKM, page 3737-3746. ACM, (2021)Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value., , , , , , , and . KDD, page 3806-3816. ACM, (2021)Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition., , and . ICASSP, page 1-5. IEEE, (2023)Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network., , , , , and . WWW, page 2792-2798. ACM, (2019)A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps., , , , , , , and . WWW, page 3199-3209. ACM / IW3C2, (2021)Align Voting Behavior with Public Statements for Legislator Representation Learning., , , , , , and . ACL/IJCNLP (1), page 1236-1246. Association for Computational Linguistics, (2021)Recursive Graphical Neural Networks for Text Classification., , , , , and . CoRR, (2019)Query-Variant Advertisement Text Generation with Association Knowledge., , , , , and . CoRR, (2020)Online Volume Optimization for Notifications via Long Short-Term Value Modeling., , , , , , , , and . PAKDD (3), volume 13937 of Lecture Notes in Computer Science, page 16-28. Springer, (2023)