Search Results - "Ouyang, Yuanxin"
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External features enriched model for biomedical question answering
Published in BMC bioinformatics (26-05-2021)“…Biomedical question answering (QA) is a sub-task of natural language processing in a specific domain, which aims to answer a question in the biomedical field…”
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User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis
Published in SAGE open (01-10-2021)“…The technology acceptance model (TAM) has been regarded as a promising model for understanding technology adoption and can be extended to different situations…”
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3
Multiple Level Hierarchical Network-Based Clause Selection for Emotion Cause Extraction
Published in IEEE access (2019)“…Emotion cause extraction is one of the most important applications in natural language processing tasks. It is a difficult challenge due to the complex…”
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4
The Factors of Continuance Intention to Use Mobile Payments in Sudan
Published in SAGE open (01-07-2022)“…The advancement of technology in the field of telecommunications and increasing use of smartphones worldwide has simplified the purchasing and payment process…”
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5
A hierarchical similarity based job recommendation service framework for university students
Published in Frontiers of Computer Science (01-10-2017)“…When people want to move to a new job, it is often difficult since there is too much job information available. To select an appropriate job and then submit a…”
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6
Collaborative personal profiling for web service ranking and recommendation
Published in Information systems frontiers (01-12-2015)“…Web service is one of the most fundamental technologies in implementing service oriented architecture (SOA) based applications. One essential challenge related…”
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7
Augmenting Dialogue Response Generation With Unstructured Textual Knowledge
Published in IEEE access (2019)“…The dialogue response generation is a challenging task in chatbot applications. Recently neural-network-based dialogue models, including the…”
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8
Embedding assisted prediction architecture for event trigger identification
Published in Journal of bioinformatics and computational biology (01-06-2015)“…Molecular events normally have significant meanings since they describe important biological interactions or alternations such as binding of a protein. As a…”
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9
Structural information aware deep semi-supervised recurrent neural network for sentiment analysis
Published in Frontiers of Computer Science (01-04-2015)“…With the development of Internet, people are more likely to post and propagate opinions online. Sentiment analysis is then becoming an important challenge to…”
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10
A robust approach for multiple vehicles tracking using layered particle filter
Published in International journal of electronics and communications (01-07-2011)“…Multiple vehicle targets tracking is one of the most challenging problems in Intelligent Transportation Systems. It is used for recognizing and understanding…”
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A precise approach to tracking dim-small targets using spectral fingerprint features
Published in Frontiers of Computer Science (01-10-2012)“…A precise method for accurately tracking dimsmall targets, based on spectral fingerprint is proposed where traditional full color tracking seems impossible. A…”
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RFIDPROBUS: A universal RFID reader communication protocol
Published in 2008 IEEE 24th International Conference on Data Engineering Workshop (01-04-2008)“…To make the RFID reader integration uniform and effective, a universal RFID reader communication protocol named RFIDPROBUS is presented. This protocol can be…”
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Conference Proceeding -
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CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
Published in Knowledge and information systems (01-08-2022)“…Sequential recommendations play a crucial role in many real-world applications. Due to the sequential nature, reinforcement learning has been employed to…”
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14
Wasserstein Dependent Graph Attention Network for Collaborative Filtering With Uncertainty
Published in IEEE transactions on computational social systems (19-07-2024)“…Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item…”
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15
Learning word representation by jointly using neighbor and syntactic contexts
Published in Neurocomputing (Amsterdam) (07-10-2021)“…Interpretability is a significant aspect of the distributed word representation learning model. Although the most advanced pretrained models have achieved the…”
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16
User Occupation Aware Conditional Restricted Boltzmann Machine Based Recommendation
Published in 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (01-12-2016)“…Nowadays, the explosive growth and variety of information available on the Web frequently overwhelms users and leads users to make poor decisions…”
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Conference Proceeding -
17
An Object Tuple Model for Understanding Pointer and Array in C Language
Published in IEEE transactions on education (01-08-2023)“…Contribution: In this study, an object tuple model has been proposed, and a quasi-experimental study on its usage in an introductory programming language…”
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18
Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system
Published in Computer speech & language (01-04-2023)“…Conversational recommender system is designed to proactively elicit the user preferences in a dialogue manner, which could effectively improve the user…”
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19
Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking
Published in IEEE transactions on learning technologies (2024)“…Multiple-choice questions (MCQs) are a kind of widely adopted approaches in learning assessment. Recently, the automatic generation of MCQs has become a…”
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LSTM-Based End-to-End Framework for Biomedical Event Extraction
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-11-2020)“…Biomedical event extraction plays an important role in the extraction of biological information from large-scale scientific publications. However, most…”
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