Weifeng Su's research while affiliated with United International College and other places
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Publications (9)
In China, patients usually determine their medical specialty before they register the corresponding specialists in the hospitals. This process usually requires a lot of medical knowledge for the patients. As a result, many patients do not register the correct specialty for the first time if they do not receive help from the hospitals. In this study...
The accurate classification of patients describing symptoms can greatly improve the efficiency of medical department classification, reduce the workload of medical staff, improve the efficiency of patients' registration process, and promote the development of medical informatization. In this study, we proposed a novel neural network based on a hybr...
While position information plays a significant role in sentence scoring of single document summarization, the repetition of content among different documents greatly impacts the salience scores of sentences in multi-document summarization. Introducing frequencies information can help identify important sentences which are generally ignored when onl...
Fixed length summarization aims at generating summaries with a preset number of words or characters. Most recent researches incorporate length information with word embeddings as the input to the recurrent decoding unit, causing a compromise between length controllability and summary quality. In this work, we present an effective length controlling...
In this study we deal with the problem of identifying and categorizing offensive language in social media. Our group, BNU-HKBU UIC NLP Team2, use supervised classification along with multiple version of data generated by different ways of pre-processing the data. We then use the state-of-the-art model Bidirec-tional Encoder Representations from Tra...
Variations in DNA copy number carry important information on genome evolution and regulation of DNA replication in cancer cells. The rapid development of single-cell sequencing technology enables exploration of gene-expression heterogeneity among single cells, providing important information on cell evolution. Evolutionary relationships in accumula...
It is known that copy number variations (CNVs) are associated with complex diseases and particular tumor types, thus reliable identification of CNVs is of great potential value. Recent advances in next generation sequencing (NGS) data analysis have helped manifest the richness of CNV information. However, the performances of these methods are not c...
Citations
... The F-score obtained was 0.5282. Wu et al. applied an uncased BERT model pre-trained on model files with a 0.8057 F-score [22]. In [23], multi-layer RNN extracted features -benefited from ELMo embeddings, selfattention, character n-grams and node2vec-were given to gradient-boosted decision trees (GBDT) for classification and a 78.79% ...
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... 45 RNA-binding protein could be identi¯ed by high-throughput method, free RNA and protein-bound RNA may be applied in some unbiased methods. 46 Big data clustering has become an important challenge in data analysis, 47 numerous evolutionary algorithms have been proposed which are inspired by the amazing lives of creatures, 48 they are all heuristic for our RNA structure prediction. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272442811744277-1441966836464_Q64/Yiu-Ming-Cheung.jpg)
