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Mantis: Automatic Performance Prediction for Smartphone Applications., , , , , , , , , and . USENIX Annual Technical Conference, page 297-308. USENIX Association, (2013)Fast dynamic execution offloading for efficient mobile cloud computing., , , , , , and . PerCom, page 20-28. IEEE Computer Society, (2013)Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction., , , , and . CoRR, (2023)Tensor Slicing and Optimization for Multicore NPUs., , , , , , , and . CoRR, (2023)Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation., , , , , and . CoRR, (2024)Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing., , , , , and . IEEE Trans. Mob. Comput., 13 (11): 2648-2660 (2014)Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment., , , and . Future Gener. Comput. Syst., (2022)Precise execution offloading for applications with dynamic behavior in mobile cloud computing., , , , , and . Pervasive Mob. Comput., (2016)Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices., , , , , , , , , and . IEEE Trans. Mob. Comput., 14 (10): 2059-2072 (2015)Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors., , , and . IEEE Access, (2019)