Kian‐Lee Tan
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View article: Automated Cough Detection System based on Vision Transformers
Automated Cough Detection System based on Vision Transformers Open
Cough is a common symptom with significant public health implications. Objective cough detection is crucial disease monitoring, the development of effective therapies and improving patient care. This study aimed to develop an automated, ac…
View article: Mining Platoon Patterns from Traffic Videos
Mining Platoon Patterns from Traffic Videos Open
Discovering co-movement patterns from urban-scale video data sources has emerged as an attractive topic. This task aims to identify groups of objects that travel together along a common route, which offers effective support for government …
View article: Managing Metaverse Data Tsunami: Actionable Insights
Managing Metaverse Data Tsunami: Actionable Insights Open
In the metaverse the physical space and the virtual space co-exist, and interact simultaneously. While the physical space is virtually enhanced with information, the virtual space is continuously refreshed with real-time, real-world inform…
View article: PRELIMINARY INVESTIGATION INTO MACHINE LEARNING & SIGNAL PROCESSING METHODOLOGIES FOR BLIND RECOVERY & RESTORATION OF OLD AUDIO RECORDINGS
PRELIMINARY INVESTIGATION INTO MACHINE LEARNING & SIGNAL PROCESSING METHODOLOGIES FOR BLIND RECOVERY & RESTORATION OF OLD AUDIO RECORDINGS Open
Vintage audio recordings often hold historical and cultural significance and can serve as educational tools.Restoring vintage audio allows people to experience nostalgia and connect with the past, enhancing their enjoyment and appreciation…
View article: Co-movement Pattern Mining from Videos
Co-movement Pattern Mining from Videos Open
Co-movement pattern mining from GPS trajectories has been an intriguing subject in spatial-temporal data mining. In this paper, we extend this research line by migrating the data source from GPS sensors to surveillance cameras, and present…
View article: Probabilistic Majority Rule-Based Group Recommendation
Probabilistic Majority Rule-Based Group Recommendation Open
International audience
View article: Recommending Unanimously Preferred Items to Groups
Recommending Unanimously Preferred Items to Groups Open
International audience
View article: Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams
Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams Open
A great variety of complex systems, from user interactions in communication networks to transactions in financial markets, can be modeled as temporal graphs consisting of a set of vertices and a series of timestamped and directed edges. Te…
View article: The Metaverse Data Deluge: What Can We Do About It?
The Metaverse Data Deluge: What Can We Do About It? Open
In the Metaverse, the physical space and the virtual space co-exist, and interact simultaneously. While the physical space is virtually enhanced with information, the virtual space is continuously refreshed with real-time, real-world infor…
View article: Minimum Coresets for Maxima Representation of Multidimensional Data
Minimum Coresets for Maxima Representation of Multidimensional Data Open
Coresets are succinct summaries of large datasets such that, for a given problem, the solution obtained from a coreset is provably competitive with the solution obtained from the full dataset. As such, coreset-based data summarization tech…
View article: Self-adaptive Graph Traversal on GPUs
Self-adaptive Graph Traversal on GPUs Open
GPU's massive computing power offers unprecedented opportunities to enable large graph analysis. Existing studies proposed various preprocessing approaches that convert the input graphs into dedicated structures for GPU-based optimizations…
View article: Enhancing Balanced Graph Edge Partition with Effective Local Search
Enhancing Balanced Graph Edge Partition with Effective Local Search Open
Graph partition is a key component to achieve workload balance and reduce job completion time in parallel graph processing systems. Among the various partition strategies, edge partition has demonstrated more promising performance in power…
View article: DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities
DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities Open
The status of air pollution is serious all over the world. Analysing and predicting vehicle energy consumption becomes a major concern. Vehicle energy consumption depends not only on speed but also on a number of external factors such as r…
View article: Enhancing Balanced Graph Edge Partition with Effective Local Search
Enhancing Balanced Graph Edge Partition with Effective Local Search Open
Graph partition is a key component to achieve workload balance and reduce job completion time in parallel graph processing systems. Among the various partition strategies, edge partition has demonstrated more promising performance in power…
View article: Exploiting Reuse for GPU Subgraph Enumeration
Exploiting Reuse for GPU Subgraph Enumeration Open
\n Subgraph\n enumeration is important for many applications such as network motif\n discovery, community detection, and frequent subgraph mining. To accelerate\n the execution, recent works utilize graphics processing units (GPUs) to\n pa…
View article: Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study Open
With the emergence of e-hailing taxi services, a growing number of scholars have attempted to analyze the taxi trips data to gain insights from drivers' and passengers' flow patterns and understand different dynamics of urban public transp…
View article: Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version)
Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version) Open
A great variety of complex systems ranging from user interactions in communication networks to transactions in financial markets can be modeled as temporal graphs, which consist of a set of vertices and a series of timestamped and directed…
View article: GRMR: Generalized Regret-Minimizing Representatives
GRMR: Generalized Regret-Minimizing Representatives Open
Extracting a small subset of representative tuples from a large database is an important task in multi-criteria decision making. The regret-minimizing set (RMS) problem is recently proposed for representative discovery from databases. Spec…
View article: Multi-Context Attention for Entity Matching
Multi-Context Attention for Entity Matching Open
Entity matching (EM) is a classic research problem that identifies data instances referring to the same real-world entity. Recent technical trend in this area is to take advantage of deep learning (DL) to automatically extract discriminati…
View article: Coresets for Minimum Enclosing Balls over Sliding Windows
Coresets for Minimum Enclosing Balls over Sliding Windows Open
\\emph{Coresets} are important tools to generate concise summaries of massive\ndatasets for approximate analysis. A coreset is a small subset of points\nextracted from the original point set such that certain geometric properties\nare pres…
View article: Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities Open
Deep learning has recently become very popular on account of its incredible success in many complex data-driven applications, such as image classification and speech recognition. The database community has worked on data-driven application…
View article: Transparent Concurrency Control: Decoupling Concurrency Control from DBMS
Transparent Concurrency Control: Decoupling Concurrency Control from DBMS Open
For performance reasons, conventional DBMSes adopt monolithic architectures. A monolithic design cripples the adaptability of a DBMS, making it difficult to customize, to meet particular requirements of different applications. In this pape…
View article: Semantic and Influence aware k-Representative Queries over Social\n Streams
Semantic and Influence aware k-Representative Queries over Social\n Streams Open
Massive volumes of data continuously generated on social platforms have\nbecome an important information source for users. A primary method to obtain\nfresh and valuable information from social streams is \\emph{social search}.\nAlthough t…
View article: Cooperation Speeds Surfing: Use Co-Bandit!
Cooperation Speeds Surfing: Use Co-Bandit! Open
In this paper, we explore the benefit of cooperation in adversarial bandit settings. As a motivating example, we consider the problem of wireless network selection. Mobile devices are often required to choose the right network to associate…
View article: Semantic and Influence aware k-Representative Queries over Social Streams
Semantic and Influence aware k-Representative Queries over Social Streams Open
Massive volumes of data continuously generated on social platforms have become an important information source for users. A primary method to obtain fresh and valuable information from social streams is \emph{social search}. Although there…
View article: Message from the General Chairs ICPADS 2018
Message from the General Chairs ICPADS 2018 Open
Established in 1992, ICPADS has been a major international forum for scientists and engineers to exchange and share new ideas and their latest research results regarding systems that are inherently parallel and/or distributed.It is a great…
View article: Efficient Representative Subset Selection over Sliding Windows
Efficient Representative Subset Selection over Sliding Windows Open
Representative subset selection (RSS) is an important tool for users to draw\ninsights from massive datasets. Existing literature models RSS as the\nsubmodular maximization problem to capture the "diminishing returns" property\nof the repr…
View article: Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study
Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study Open
A 3-step process integrating theoretical basis, evidence from systematic review, and research findings from target users can be considered a guide for future app development.