2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Xueru Wen, Changjiang Zhou, Haotian Tang +3
Named entity recognition is a fundamental task in natural language processing, identifying the span and category of entities in unstructured texts. The traditional sequence labelin…
cs.CV2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Zhiyuan Wu, Yu Jiang, Minghao Zhao +4
Recent applications pose requirements of both cross-domain knowledge transfer and model compression to machine learning models due to insufficient training data and limited computa…
cs.CV2021★ 2 cited
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data
Zhiyuan Wu, Yu Jiang, Chupeng Cui +3
Semantic segmentation of road scenes is one of the key technologies for realizing autonomous driving scene perception, and the effectiveness of deep Convolutional Neural Networks(C…