839 citations · 2.3k across the 47 of their papers we have counts for
47 papers
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…
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…
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang +1
Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned into a re…
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi +5
Advancements in wearable medical devices in IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), we are witnessi…
Building Metadata Inference Using a Transducer Based Language Model
David Waterworth, Subbu Sethuvenkatraman, Quan Z. Sheng
Solving the challenges of automatic machine translation of Building Automation System text metadata is a crucial first step in efficiently deploying smart building applications. Th…
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Taotao Cai, Qi Lei, Quan Z. Sheng +3
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, has recently received significant attent…
Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things
Subhash Sagar, Adnan Mahmood, Kai Wang +2
The recent emergence of the promising paradigm of the Social Internet of Things (SIoT) is a result of an intelligent amalgamation of the social networking concepts with the Interne…
Understanding the Trustworthiness Management in the Social Internet of Things: A Survey
Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +2
The next generation of the Internet of Things (IoT) facilitates the integration of the notion of social networking into smart objects (i.e., things) in a bid to establish the socia…
Data Correction and Evolution Analysis of the ProgrammableWeb Service Ecosystem
Mingyi Liu, Zhiying Tu, Yeqi Zhu +3
The evolution analysis on Web service ecosystems has become a critical problem as the frequency of service changes on the Internet increases rapidly. Developers need to understand…
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi +3
Federated Learning (FL) is known to perform Machine Learning tasks in a distributed manner. Over the years, this has become an emerging technology especially with various data prot…
Conversational Question Answering: A Survey
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +2
Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural la…
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue +5
Anomalies represent rare observations (e.g., data records or events) that deviate significantly from others. Over several decades, research on anomaly mining has received increasin…
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen, Lina Yao, Xianzhi Wang +3
Recent advances in reinforcement learning have inspired increasing interest in learning user modeling adaptively through dynamic interactions, e.g., in reinforcement learning based…
A Comprehensive Survey on Community Detection with Deep Learning
Xing Su, Shan Xue, Fanzhen Liu +9
A community reveals the features and connections of its members that are different from those in other communities in a network. Detecting communities is of great significance in n…
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks
Taotao Cai, Shuiqiao Yang, Jianxin Li +5
User engagement has recently received significant attention in understanding the decay and expansion of communities in many online social networking platforms. When a user chooses…
BERT-CoQAC: BERT-based Conversational Question Answering in Context
Munazza Zaib, Dai Hoang Tran, Subhash Sagar +3
As one promising way to inquire about any particular information through a dialog with the bot, question answering dialog systems have gained increasing research interests recently…
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang
Building a dialogue system that can communicate naturally with humans is a challenging yet interesting problem of agent-based computing. The rapid growth in this area is usually hi…
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang +2
Quality sleep is very important for a healthy life. Nowadays, many people around the world are not getting enough sleep which is having negative impacts on their lifestyles. Studie…
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Dan Lin +1
Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic spa…
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach
Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +2
The emerging paradigm of the Social Internet of Things (SIoT) has transformed the traditional notion of the Internet of Things (IoT) into a social network of billions of interconne…
Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach
Subhash Sagar, Adnan Mahmood, Quan Z. Sheng +1
The Internet of Things (IoT) is an evolving network of billions of interconnected physical objects, such as numerous sensors, smartphones, wearables, and embedded devices. These ph…
An Internet of Things Service Roadmap
Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah +5
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computin…
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…