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GUANGYUAN PIAO

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Env2Vec: Accelerating VNF Testing with Deep Learning
Domain-Aware Sentiment Classification with GRUs and CNNs
A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations
Retweet Prediction with Attention-based Deep Neural Network
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender Systems
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes
JIST2015-data challenge
Analyzing User Modeling on Twitter for Personalized News Recommendations
RDFa Basics