Sheng-Uei Guan
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View article: Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game
Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game Open
This paper investigates an adaptive dynamic programming (ADP) optimal tracking control algorithm for multi-UAV systems based on zero-sum game theory, addressing external disturbances during flight. By formulating the bounded [Formula: see …
View article: Exploring Interaction Concepts for Human-Object-Interaction Detection Via Two-Scale Enhancing
Exploring Interaction Concepts for Human-Object-Interaction Detection Via Two-Scale Enhancing Open
View article: Continual Graph Learning: A Survey
Continual Graph Learning: A Survey Open
View article: MIP: Mutual Information-Guided Prompt for Class-incremental Continual Graph Learning
MIP: Mutual Information-Guided Prompt for Class-incremental Continual Graph Learning Open
View article: Class-incremental Continual Graph Learning with Adversarial Graph
Class-incremental Continual Graph Learning with Adversarial Graph Open
View article: Simple Yet Effective: An Explicit Query-Based Relation Learner for Human-Object-Interaction Detection
Simple Yet Effective: An Explicit Query-Based Relation Learner for Human-Object-Interaction Detection Open
View article: An orally administered enzyme therapeutic for homocystinuria that suppresses homocysteine by metabolizing methionine in the gastrointestinal tract
An orally administered enzyme therapeutic for homocystinuria that suppresses homocysteine by metabolizing methionine in the gastrointestinal tract Open
Classical homocystinuria (HCU) is a rare inborn error of amino acid metabolism characterized by accumulation of homocysteine, an intermediate product of methionine metabolism, leading to significant systemic toxicities, particularly within…
View article: AB0511 A PHASE 1, RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, SINGLE- AND MULTIPLE-DOSE ESCALATION STUDY TO EVALUATE THE SAFETY, PHARMACOKINETICS AND PHARMACODYNAMICS OF PF-06835375 IN PATIENTS WITH SEROPOSITIVE SYSTEMIC LUPUS ERYTHEMATOSUS OR RHEUMATOID ARTHRITIS
AB0511 A PHASE 1, RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, SINGLE- AND MULTIPLE-DOSE ESCALATION STUDY TO EVALUATE THE SAFETY, PHARMACOKINETICS AND PHARMACODYNAMICS OF PF-06835375 IN PATIENTS WITH SEROPOSITIVE SYSTEMIC LUPUS ERYTHEMATOSUS OR RHEUMATOID ARTHRITIS Open
View article: Continual Graph Learning: A Survey
Continual Graph Learning: A Survey Open
Research on continual learning (CL) mainly focuses on data represented in the Euclidean space, while research on graph-structured data is scarce. Furthermore, most graph learning models are tailored for static graphs. However, graphs usual…
View article: Dual-Track Lifelong Machine Learning-Based Fine-Grained Product Quality Analysis
Dual-Track Lifelong Machine Learning-Based Fine-Grained Product Quality Analysis Open
Artificial intelligence (AI) systems are becoming wiser, even surpassing human performances in some fields, such as image classification, chess, and Go. However, most high-performance AI systems, such as deep learning models, are black box…
View article: Cause of Causal Emergence: Redistribution of Uncertainty and its Critical Condition
Cause of Causal Emergence: Redistribution of Uncertainty and its Critical Condition Open
View article: Quantify the Causes of Causal Emergence: Critical Conditions of Uncertainty and Asymmetry in Causal Structure
Quantify the Causes of Causal Emergence: Critical Conditions of Uncertainty and Asymmetry in Causal Structure Open
Beneficial to advanced computing devices, models with massive parameters are increasingly employed to extract more information to enhance the precision in describing and predicting the patterns of objective systems. This phenomenon is part…
View article: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot
Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot Open
View article: Preface
Preface Open
ICCC aims to become a premier international conference for in-depth discussions on innovative ideas, up-to-date research projects and practices in the field of computer and communications.Given the current global outbreak of the Covid-19 v…
View article: Application of Wireless Sensor Network Based on Hierarchical Edge Computing Structure in Rapid Response System
Application of Wireless Sensor Network Based on Hierarchical Edge Computing Structure in Rapid Response System Open
This paper presents a rapid response system architecture for the distributed management of warehouses in logistics by applying the concept of tiered edge computing. A tiered edge node architecture is proposed for the system to process comp…
View article: Improved two-stream model for human action recognition
Improved two-stream model for human action recognition Open
View article: Lifelong Machine Learning Architecture for Classification
Lifelong Machine Learning Architecture for Classification Open
Benefiting from the rapid development of big data and high-performance computing, more data is available and more tasks could be solved by machine learning now. Even so, it is still difficult to maximum the power of big data due to each da…
View article: Semi-Unsupervised Lifelong Learning for Sentiment Classification
Semi-Unsupervised Lifelong Learning for Sentiment Classification Open
Lifelong machine learning is a novel machine learning paradigm which continually learns tasks and accumulates knowledge for reuse. The knowledge extracting and reusing abilities enable lifelong machine learning to understand the knowledge …
View article: Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying Open
Lifelong machine learning is a novel machine learning paradigm which can continually accumulate knowledge during learning. The knowledge extracting and reusing abilities enable the lifelong machine learning to solve the related problems. T…
View article: Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments
Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments Open
Cloud computing is a new commercial model that enables customers to acquire large amounts of virtual resources on demand. Resources including hardware and software can be delivered as services and measured by specific usage of storage, pro…
View article: Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning
Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning Open
The importance of an interference-less machine learning scheme in time series prediction is crucial, as an oversight can have a negative cumulative effect, especially when predicting many steps ahead of the currently available data. The on…
View article: Incremental Maximum Gaussian Mixture Partition For Classification
Incremental Maximum Gaussian Mixture Partition For Classification Open
In the field of classification, the main task of most algorithms is to find a perfect decision boundary.However, most decision boundaries are too complex to be discovered directly.Therefore, in this paper, we proposed an Incremental Maximu…
View article: Hyperpolarized Xenon-129 3D Chemical Shift Imaging of Human Lungs
Hyperpolarized Xenon-129 3D Chemical Shift Imaging of Human Lungs Open
Magnetic resonance imaging (MRI) is in general, capable of providing an immense amount of structural and functional information. Proton MRI in the lungs is challenging due to the inherently low water density and short T2* in lung tissues c…
View article: Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance
Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance Open
Machine learning is a very important approach to pattern classification. This paper provides a better insight into Incremental Attribute Learning (IAL) with further analysis as to why it can exhibit better performance than conventional bat…
View article: Neural Incremental Attribute Learning in Groups
Neural Incremental Attribute Learning in Groups Open