839 citations · 2.3k across the 47 of their papers we have counts for
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The 10 Research Topics in the Internet of Things
Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood +7
Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to…
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo +2
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our…
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Qian Ma +1
Link prediction based on knowledge graph embeddings (KGE) aims to predict new triples to automatically construct knowledge graphs (KGs). However, recent KGE models achieve performa…
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh +6
COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and p…
Recommender Systems for the Internet of Things: A Survey
May Altulyan, Lina Yao, Xianzhi Wang +3
Recommendation represents a vital stage in developing and promoting the benefits of the Internet of Things (IoT). Traditional recommender systems fail to exploit ever-growing, dyna…
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…
Graph Learning Approaches to Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang +7
Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS). GLRS mainly employ the advanced graph learning approaches…