10 citations · 35 across the 9 of their papers we have counts for
9 papers
Data-driven Smart Ponzi Scheme Detection
Yuzhi Liang, Weijing Wu, Kai Lei +1
A smart Ponzi scheme is a new form of economic crime that uses Ethereum smart contract account and cryptocurrency to implement Ponzi scheme. The smart Ponzi scheme has harmed the i…
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
Daoyuan Chen, Yaliang Li, Kai Lei +1
Distant supervision based methods for entity and relation extraction have received increasing popularity due to the fact that these methods require light human annotation efforts.…
Exploring and Distilling Cross-Modal Information for Image Captioning
Fenglin Liu, Xuancheng Ren, Yuanxin Liu +2
Recently, attention-based encoder-decoder models have been used extensively in image captioning. Yet there is still great difficulty for the current methods to achieve deep image u…
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
Kai Lei, Meng Qin, Bo Bai +2
In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link predi…
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Yang Deng, Yuexiang Xie, Yaliang Li +5
Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which r…
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions
Kai Lei, Bing Zhang, Yong Liu +3
Named entity discovery and linking is the fundamental and core component of question answering. In Question Entity Discovery and Linking (QEDL) problem, traditional methods are cha…
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding
Ying Shen, Qiang Zhang, Jin Zhang +3
Automatic text classification (TC) research can be used for real-world problems such as the classification of in-patient discharge summaries and medical text reports, which is bene…
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs
Kai Lei, Kaiqi Yuan, Qiang Zhang +1
We present MedSim, a novel semantic SIMilarity method based on public well-established bio-MEDical knowledge graphs (KGs) and large-scale corpus, to study the therapeutic substitut…
An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training
K. Lei, S. Si, D. Wen +1
Medical synonym identification has been an important part of medical natural language processing (NLP). However, in the field of Chinese medical synonym identification, there are p…