29 citations · 126 across the 14 of their papers we have counts for
14 papers
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation
Sicen Liu, Xiaolong Wang, JIngcheng Du +6
Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare. Most existing works predicted medications based on longitudinal recor…
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?
Yuxin He, Jingyue Hu, Buzhou Tang
Event co-occurrences have been proved effective for event extraction (EE) in previous studies, but have not been considered for event argument extraction (EAE) recently. In this pa…
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
Sicen Liu, Xiaolong Wang, Yang Xiang +3
Medical event prediction (MEP) is a fundamental task in the medical domain, which needs to predict medical events, including medications, diagnosis codes, laboratory tests, procedu…
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu, Xiaolong Wang, Yongshuai Hou +5
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increas…
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search
Haokui Zhang, Buzhou Tang, Wenze Hu +1
We propose a generic feature compression method for Approximate Nearest Neighbor Search (ANNS) problems, which speeds up existing ANNS methods in a plug-and-play manner. Specifical…
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
Bowen Hu, Baiying Lei, Shuqiang Wang +4
3D shape reconstruction is essential in the navigation of minimally-invasive and auto robot-guided surgeries whose operating environments are indirect and narrow, and there have be…
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi +20
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice. With the development of biomedical langua…
Decomposing Word Embedding with the Capsule Network
Xin Liu, Qingcai Chen, Yan Liu +4
Word sense disambiguation tries to learn the appropriate sense of an ambiguous word in a given context. The existing pre-trained language methods and the methods based on multi-emb…
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han, Zhichun Wang, Jiangtao Zhang +22
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation…
Semi-supervised Visual Feature Integration for Pre-trained Language Models
Lisai Zhang, Qingcai Chen, Dongfang Li +1
Integrating visual features has been proved useful for natural language understanding tasks. Nevertheless, in most existing multimodal language models, the alignment of visual and…
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development
Linfeng Li, Peng Wang, Yao Wang +5
This paper proposes an algorithm named as PrTransH to learn embedding vectors from real world EMR data based medical knowledge. The unique challenge in embedding medical knowledge…
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
Xiaoqiang Zhou, Baotian Hu, Qingcai Chen +2
In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the rec…
Automatic exploration of structural regularities in networks
Yi Chen, Xiao-long Wang, Xin Xiang +4
Complex networks provide a powerful mathematical representation of complex systems in nature and society. To understand complex networks, it is crucial to explore their internal st…
Overlapping community detection in signed networks
Yi Chen, Xiao-long Wang, Bo Yuan +1
Complex networks considering both positive and negative links have gained considerable attention during the past several years. Community detection is one of the main challenges fo…