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08/28/2023
Reinforcement Learning for Generative AI: A Survey
Deep Generative AI has been a long-standing essential topic in the machi...
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08/26/2023
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Cardiovascular diseases (CVD) are the leading cause of death globally, a...
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05/09/2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Federated learning (FL) is a prospective distributed machine learning fr...
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04/17/2023
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
Recommendation models are typically trained on observational user intera...
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04/14/2023
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Having an intelligent dialogue agent that can engage in conversational q...
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03/25/2023
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Advancements in wearable medical devices in IoT technology are shaping t...
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03/07/2023
Guided Image-to-Image Translation by Discriminator-Generator Communication
The goal of Image-to-image (I2I) translation is to transfer an image fro...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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12/05/2022
Building Metadata Inference Using a Transducer Based Language Model
Solving the challenges of automatic machine translation of Building Auto...
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07/29/2022
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
Automatic tumor or lesion segmentation is a crucial step in medical imag...
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07/08/2022
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks
Anomaly detection in attributed networks has received a considerable att...
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07/08/2022
A Survey on Participant Selection for Federated Learning in Mobile Networks
Federated Learning (FL) is an efficient distributed machine learning par...
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06/02/2022
6G Survey on Challenges, Requirements, Applications, Key Enabling Technologies, Use Cases, AI integration issues and Security aspects
The fifth-generation (5G) network is likely to bring in high data rates,...
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05/31/2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-structured data consisting of objects (i.e., nodes) and relationsh...
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05/11/2022
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Influence Maximization (IM), which aims to select a set of users from a ...
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04/17/2022
A Survey on Location-Driven Influence Maximization
Influence Maximization (IM), which aims to select a set of users from a ...
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02/08/2022
Understanding the Trustworthiness Management in the Social Internet of Things: A Survey
The next generation of the Internet of Things (IoT) facilitates the inte...
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01/03/2022
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings
Knowledge graph embedding (KGE) has drawn great attention due to its pot...
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12/02/2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems
Adversarial attacks, e.g., adversarial perturbations of the input and ad...
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08/21/2021
Data Correction and Evolution Analysis of the ProgrammableWeb Service Ecosystem
The evolution analysis on Web service ecosystems has become a critical p...
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07/23/2021
Communication Efficiency in Federated Learning: Achievements and Challenges
Federated Learning (FL) is known to perform Machine Learning tasks in a ...
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06/14/2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Anomalies represent rare observations (e.g., data records or events) tha...
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06/02/2021
Conversational Question Answering: A Survey
Question answering (QA) systems provide a way of querying the informatio...
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05/13/2021
Graph Learning based Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
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05/03/2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Recent advances in reinforcement learning have inspired increasing inter...
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04/27/2021
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
Quality sleep is very important for a healthy life. Nowadays, many peopl...
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04/23/2021
BERT-CoQAC: BERT-based Conversational Question Answering in Context
As one promising way to inquire about any particular information through...
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04/22/2021
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
Building a dialogue system that can communicate naturally with humans is...
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03/27/2021
High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings
Recent knowledge graph embedding (KGE) models based on hyperbolic geomet...
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02/03/2021
Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach
The Internet of Things (IoT) is an evolving network of billions of inter...
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02/03/2021
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach
The emerging paradigm of the Social Internet of Things (SIoT) has transf...
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02/01/2021
An Internet of Things Service Roadmap
We propose a roadmap for leveraging the tremendous opportunities the Int...
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12/02/2020
The 10 Research Topics in the Internet of Things
Since the term first coined in 1999 by Kevin Ashton, the Internet of Thi...
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11/10/2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document summarization (MDS) is an effective tool for information ...
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10/14/2020
Multi-teacher Knowledge Distillation for Knowledge Graph Completion
Link prediction based on knowledge graph embedding (KGE) aims to predict...
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09/29/2020
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance
COVID-19 was first discovered in December 2019 and has continued to rapi...
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07/14/2020
Recommender Systems for the Internet of Things: A Survey
Recommendation represents a vital stage in developing and promoting the ...
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04/28/2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
In recent years, the emerging topics of recommender systems that take ad...
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04/22/2020
Graph Learning Approaches to Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
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12/28/2019
Sequential Recommender Systems: Challenges, Progress and Prospects
The emerging topic of sequential recommender systems has attracted incre...
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05/24/2019
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Multi-step passenger demand forecasting is a crucial task in on-demand v...
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01/21/2019
Generating Textual Adversarial Examples for Deep Learning Models: A Survey
With the development of high computational devices, deep neural networks...
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12/25/2018
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Recommender systems have recently attracted many researchers in the deep...
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12/07/2018
Internet of Things Search Engine: Concepts, Classification, and Open Issues
This article focuses on the complicated yet still relatively immature ar...
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11/30/2018
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services
In the era of Web of Things and Services, Context-aware Web Services (CA...
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07/23/2018
A Cache-based Optimizer for Querying Enhanced Knowledge Bases
With recent emerging technologies such as the Internet of Things (IoT), ...
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05/01/2018
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
A Brain-Computer Interface (BCI) acquires brain signals, analyzes and tr...
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09/26/2017
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
An electroencephalography (EEG) based brain activity recognition is a fu...
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09/26/2017
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...
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08/07/2017