
Kyle Kai QinRMIT University | RMIT · School of Computer Science and Information Technology
Kyle Kai Qin
Doctor of Philosophy
About
17
Publications
8,359
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
325
Citations
Introduction
Graph-based learning optimisation, Machine learning.
Education
July 2018 - July 2022
February 2014 - December 2015
Publications
Publications (17)
Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research ap- proaches this as an optimization problem or computes the sim- ilarity based on node representations. However, the process of aligning every pair of nodes between relatively large networks is time-consuming and resource...
he smart parking system is one of the most important problems in smart cities. Recently, an increasing number of sensors installedin parking spaces provide big spatio-temporal data which be used to analyse the parking situations in the city and help parkingofficers monitor the parking violations. Travelling Officer Problem was customised to formula...
The Travelling Officer Problem (TOP) is a graph-based orienteering problem for modelling the patrolling routines of a parking officer monitoring an area. Recently, a spatio-temporal probabilistic model was built for TOP to estimate the leaving probability of parking cars, and relevant algorithms were applied to search for the optimal path for a par...
Recently, door access control with Internet of Things (IoT) has become increasingly popular in the field of security. However, conventional approaches such as video-based or biological information based cannot satisfy the requirements of personal privacy protection in the modern society. Hence, a wireless signal based technique which does not need...
Currently, large amounts of Wi-Fi access logs are collected in diverse indoor environments, but cannot be widely used for fine-grained spatio-temporal analysis due to coarse positioning. We present a Log-based Differential (D-Log) scheme for post-hoc localization based on differentiated location estimates obtained from large-scale Access Point (AP)...
Human movements in the workspace usually have non-negligible relations with air quality parameters (e.g., CO$_2$, PM2.5, and PM10). We establish a system to monitor indoor human mobility with air quality and assess the interrelationship between these two types of time series data. More specifically, a sensor network was designed in indoor environme...
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory imputation and prediction. Nowadays, little existing work simultaneously deals with imputation and prediction on human trajectories. This work plans to explore whether the...
Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to be promising for spatio-temporal-based applications such as trajectory prediction, events generation, and time-series data imputation. While several reviews for GANs in c...
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory imputation and prediction. Nowadays, little existing work simultaneously deals with imputation and prediction on human trajectories. This work plans to explore whether the...
Generative Adversarial Networks (GANs) have shown remarkable success in the computer vision area for producing realistic-looking images. Recently, GAN-based techniques are shown to be promising for spatiotemporal-based applications such as trajectory prediction, events generation and time-series data imputation. While several reviews for GANs in co...
A well-crafted police patrol route design is vital in providing community safety and security in the society. Previous works have largely focused on predicting crime events with historical crime data. The usage of large-scale mobility data collected from Location-Based Social Network, or check-ins, and Point of Interests (POI) data for designing an...
Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research approaches this as an optimization problem or computes the similarity based on node representations. However, the process of aligning every pair of nodes between relatively large networks is time-consuming and resource-int...
On-ground aircraft trajectory information plays a key role in airport situations awareness prediction and management. Airport administration needs to arrange and schedule the time and order of aircraft landing and takeoff events based on a precise and real-time information of on-ground aircraft. Recently, a large dataset of GPS-derived aircraft at...
Traffic congestion causes heavily energy consumption, carbon dioxide emission and air pollution in cities, which is usually created by cars searching on-street parking spaces. Drivers are likely to move slowly and waste time on the road for an available on-street parking space if parking slot availability information is not revealed in advanced. Th...