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SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework., , , , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (3): 144:1-144:21 (2018)Learning User Representations with Hypercuboids for Recommender Systems., , , , , , , , and . CoRR, (2020)In-Context Learning with Iterative Demonstration Selection., , , and . CoRR, (2023)Lightweight Convolutional Neural Networks By Hypercomplex Parameterization., , and . CoRR, (2021)Text Style Transfer: A Review and Experimental Evaluation., , , and . SIGKDD Explor., 24 (1): 14-45 (2022)Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach., , , , , , and . WWW, page 579-590. ACM, (2016)Compositional De-Attention Networks., , , , and . NeurIPS, page 6132-6142. (2019)On Orthogonality Constraints for Transformers., , , , , , , , and . ACL/IJCNLP (2), page 375-382. Association for Computational Linguistics, (2021)DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing., , , , and . CoRR, (2016)Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework., , , , and . CoRR, (2017)