47 citations · 69 across the 18 of their papers we have counts for
18 papers
Can we Quantify Trust? Towards a Trust-based Resilient SIoT Network
Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +2
The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., thin…
When Large Language Models Meet Citation: A Survey
Yang Zhang, Yufei Wang, Kai Wang +5
Citations in scholarly work serve the essential purpose of acknowledging and crediting the original sources of knowledge that have been incorporated or referenced. Depending on the…
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi +4
Cardiovascular diseases (CVD) are the leading cause of death globally, and early detection can significantly improve outcomes for patients. Machine learning (ML) models can help di…
Learning to Select the Relevant History Turns in Conversational Question Answering
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +3
The increasing demand for the web-based digital assistants has given a rapid rise in the interest of the Information Retrieval (IR) community towards the field of conversational qu…
Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion
Chen Chen, Yufei Wang, Yang Zhang +2
Knowledge graph completion (KGC) is the task of inferencing missing facts from any given knowledge graphs (KG). Previous KGC methods typically represent knowledge graph entities an…
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence
Amin Beheshti, Jian Yang, Quan Z. Sheng +6
Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is traine…