140 citations · 149 across the 8 of their papers we have counts for
8 papers
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Enwei Zhu, Changde Du +2
Emotion recognition is essential in the diagnosis and rehabilitation of various mental diseases. In the last decade, electroencephalogram (EEG)-based emotion recognition has been i…
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
Enwei Zhu, Yiyang Liu, Ming Jin +1
Many recent named entity recognition (NER) studies criticize flat NER for its non-overlapping assumption, and switch to investigating nested NER. However, existing nested NER model…
Deep Span Representations for Named Entity Recognition
Enwei Zhu, Yiyang Liu, Jinpeng Li
Span-based models are one of the most straightforward methods for named entity recognition (NER). Existing span-based NER systems shallowly aggregate the token representations to s…
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Penghua Zhai, Enwei Zhu, Baolian Qi +2
Computed tomography (CT) samples with pathological annotations are difficult to obtain. As a result, the computer-aided diagnosis (CAD) algorithms are trained on small datasets (e.…
Boundary Smoothing for Named Entity Recognition
Enwei Zhu, Jinpeng Li
Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration. Inspired by label smoothing and driven…
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text
Enwei Zhu, Qilin Sheng, Huanwan Yang +1
Medical information extraction consists of a group of natural language processing (NLP) tasks, which collaboratively convert clinical text to pre-defined structured formats. Curren…
Digital Urban Sensing: A Multi-layered Approach
Enwei Zhu, Maham Khan, Philipp Kats +2
Studies of human mobility increasingly rely on digital sensing, the large-scale recording of human activity facilitated by digital technologies. Questions of variability and popula…
House Price Modeling with Digital Census
Enwei Zhu, Stanislav Sobolevsky
Urban house prices are strongly associated with local socioeconomic factors. In literature, house price modeling is based on socioeconomic variables from traditional census, which…