Showing 1–13 of 13 results
/ Date/ Name
Oct 30, 2020Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge DevicesMar 19, 2020LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing UnitsDec 16, 2018Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and EdgeJul 12, 2020Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUsJan 17, 2019Background subtraction on depth videos with convolutional neural networksAug 6, 2025Unsupervised Pairwise Learning Optimization Framework for Cross-Corpus EEG-Based Emotion Recognition Based on Prototype RepresentationSep 1, 2025Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion RecognitionFeb 21, 2024ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language ModelsNov 27, 2024PL-DCP: A Pairwise Learning framework with Domain and Class Prototypes for EEG emotion recognition under unseen target conditionsJun 3, 2025Large Processor Chip ModelApr 1, 2021Pinpointing the Memory Behaviors of DNN TrainingJun 11, 2025QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code TranslationMar 18, 2026Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition