Explanipedia

Comparative Evaluation and Performance of Large Language Models in Clinical Infection Control Scenarios: A Benchmark Study Open

Shuk‐Ching Wong, Edwin Kwan-Yeung Chiu, Kelvin Hei‐Yeung Chiu, Anthony Raymond Tam, Pui Hing Chau , et al. · 2025

Background: Infection prevention and control (IPC) in hospitals relies heavily on infection control nurses (ICNs) who manage complex consultations to prevent and control infections. This study evaluated large language models (LLMs) as arti…

Outbreak of melioidosis in a highly urbanized area Open

Kelvin Hei‐Yeung Chiu, Xin Li, Shuk‐Ching Wong, Jonathan Hon-Kwan Chen, Alan Ka-Lun Tsang , et al. · 2025

In 2022, an outbreak of melioidosis occurred at a highly urbanized district (the SSP district) in Hong Kong. There was a 5-fold increase in cases compared to the average number of cases in the preceding years, with the SSP district account…

Temporal environment informed photovoltaic performance prediction framework with multi-spatial attention LSTM Open

Dou Hong, Fengze Li, Jieming Ma, Jieming Ma, Huiqing Wen , et al. · 2025

Continual Graph Learning: A Survey Open

Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man , et al. · 2025

Class-incremental Continual Graph Learning with Adversarial Graph Open

Qiao Yuan, Bin Zhu, Sheng-Uei Guan, Jieming Ma, Prudence W. H. Wong · 2025

VMGNet: A Low Computational Complexity Robotic Grasping Network Based on VMamba with Multi-Scale Feature Fusion Open

Yuhao Jin, Qiang Gao, Xiaohui Zhu, Yong Yue, Eng Gee Lim , et al. · 2024

While deep learning-based robotic grasping technology has demonstrated strong adaptability, its computational complexity has also significantly increased, making it unsuitable for scenarios with high real-time requirements. Therefore, we p…

Towards Optimal Grammars for RNA Structures Open

Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong · 2024

In past work (Onokpasa, Wild, Wong, DCC 2023), we showed that (a) for joint compression of RNA sequence and structure, stochastic context-free grammars are the best known compressors and (b) that grammars which have better compression abil…

Vmgnet: A Low Computational Complexity Robotic Grasping Network Based on Vmamba with Multi-Scale Feature Fusion Open

Yuhao Jin, Qiang Gao, Xiaohui Zhu, Yong Yue, Eng Gee Lim , et al. · 2024

RNA secondary structures: from ab initio prediction to better compression, and back Open

Evarista Onokpasa, Sebastian Wild, Prudence W. H. Wong · 2023

In this paper, we use the biological domain knowledge incorporated into stochastic models for ab initio RNA secondary-structure prediction to improve the state of the art in joint compression of RNA sequence and structure data (Liu et al.,…

Continual Graph Learning: A Survey Open

Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man , et al. · 2023

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…

Dual-Track Lifelong Machine Learning-Based Fine-Grained Product Quality Analysis Open

Xianbin Hong, Sheng-Uei Guan, Nian Xue, Zhen Li, Ka Lok Man , et al. · 2023

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…

SOFSEM 2021: Theory and Practice of Computer Science, 47th International Conference on Current Trends in Theory and Practice of Computer Science Open

Tomáš Bureš, Riccardo Dondi, Johann Gamper, Giovanna Guerrini, Tomasz Jurdziński , et al. · 2021

This book contains the invited and contributed papers selected for presentation at SOFSEM 2021, the 47th International Conference on Current Trends in Theory and Practice of Computer Science, which was held online during January 25–28, 202…

Application of Wireless Sensor Network Based on Hierarchical Edge Computing Structure in Rapid Response System Open

Yuechun Wang, Ka Lok Man, Kevin Lee, Danny Hughes, Sheng-Uei Guan , et al. · 2020

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…

Lifelong Machine Learning Architecture for Classification Open

Xianbin Hong, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong · 2020

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…

Predicting the Availability of Hematopoietic Stem Cell Donors Using Machine Learning Open

Ying Li, Ausra Masiliune, David Winstone, Leszek Gąsieniec, Prudence W. H. Wong , et al. · 2020

Hematopoietic stem cell transplantation (HSCT) is firmly established as an important curative therapy for patients with hematologic malignancies and other blood disorders. Apart from finding HLA-matched donors during the HSCT process, dono…

Protocol for a phase III wait-listed cluster randomised controlled trial of an intervention for mental wellbeing through enhancing mental health literacy and improving work friendliness in Hong Kong Open

Lawrence Lam, Prudence W. H. Wong, Mary Lam · 2019

Background Mental health has long been recognised as a major global health issue. Some work-related characteristics have been identified to be associated with common mental health problems, thus the workplace is an important venue for the …

Dynamic programming optimization in line of sight networks Open

Pavan Sangha, Prudence W. H. Wong, Michele Zito · 2019

Protocol for a phase III wait-listed cluster randomised controlled trial of an intervention for mental wellbeing through enhancing mental health literacy and improving work friendliness in Hong Kong Open

Lawrence Lam, Prudence W. H. Wong, Mary Lam · 2019

Background Mental health has long been recognised as a major global health issue. Some work-related characteristics have been identified to be associated with common mental health problems, thus the workplace is an important venue for the …

Semi-Unsupervised Lifelong Learning for Sentiment Classification Open

Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu , et al. · 2019

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 …

Complexity and online algorithms for minimum skyline coloring of intervals Open

Thomas Erlebach, Fu-Hong Liu, Hsiang-Hsuan Liu, Mordechai Shalom, Prudence W. H. Wong , et al. · 2019

Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying Open

Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu , et al. · 2019

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…

Designing an Optimized Water Quality Monitoring Network with Reserved Monitoring Locations Open

Xiaohui Zhu, Yong Yue, Prudence W. H. Wong, Yixin Zhang, Hao Ding · 2019

The optimized design of water quality monitoring networks can not only minimize the pollution detection time and maximize the detection probability for river systems but also reduce redundant monitoring locations. In addition, it can save …

Fault-Tolerant Parallel Scheduling of Arbitrary Length Jobs on a Shared Channel Open

Marek Klonowski, Dariusz R. Kowalski, Jarosław Mirek, Prudence W. H. Wong · 2019

Station Assignment with Reallocation Open

Austin Halper, Miguel A. Mosteiro, Yulia Rossikova, Prudence W. H. Wong · 2018

We study a dynamic allocation problem that arises in various scenarios where mobile clients joining and leaving the system have to communicate with static stations via radio transmissions. Restrictions are a maximum delay, or laxity, betwe…

Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Open

Xiaohui Zhu, Yong Yue, Prudence W. H. Wong, Yixin Zhang, Jianhong Tan · 2018

Affected by regular tides, bidirectional water flows play a crucial role in surface river systems. Using optimization theory to design a water quality monitoring network can reduce the redundant monitoring nodes as well as save the costs f…

Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning Open

David Afolabi, Sheng-Uei Guan, Jieming Ma, Prudence W. H. Wong, Xuan Zhao · 2017

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…

Fault-tolerant parallel scheduling of different length jobs on a multiple-access channel Open

Marek Klonowski, Dariusz R. Kowalski, Jarosław Mirek, Prudence W. H. Wong · 2017

We study the problem of scheduling jobs on fault-prone machines communicating via a shared channel, also known as multiple-access channel. We have $n$ arbitrary length jobs to be scheduled on $m$ identical machines, $f$ of which are prone …

Fault-tolerant parallel scheduling of arbitrary length jobs on a shared\n channel Open

Marek Klonowski, Dariusz R. Kowalski, Jarosław Mirek, Prudence W. H. Wong · 2017

We study the problem of scheduling jobs on fault-prone machines communicating\nvia a shared channel, also known as multiple-access channel. We have $n$\narbitrary length jobs to be scheduled on $m$ identical machines, $f$ of which\nare pro…

Lightweight Robust Framework for Workload Scheduling in Clouds Open

Muhammed Abdulazeez, Paweł Garncarek, Dariusz R. Kowalski, Prudence W. H. Wong · 2017

Reliability, security and stability of cloud services without sacrificing too much resources have become a desired feature in the area of workload management in clouds. The paper proposes and evaluates a lightweight framework for schedulin…

Optimum Water Quality Monitoring Network Design for Bidirectional River Systems Using Modified MOPSO Open

Xiaohui Zhu, Yong Yue, Prudence W. H. Wong, Yixin Zhang · 2017

Designing an optimum water quality monitoring network will not only minimize the pollution detection time and maximize the detection probability in river systems, but also reduce the redundant monitoring nodes and save the investment and c…

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