Huy Quan Vu
Biographic Data
| ID | 3079443 |
|---|---|
| NAME | Huy Quan Vu |
| GIVEN NAMES | Huy Quan |
| FAMILY NAME | Vu |
| SIGNATURE | VU H Q |
| AFFILIATIONS | Deakin University |
| ORCID | 0000-0003-1947-2879 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 68 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Work for stay: Balancing reciprocity in accommodation
Exploring emotional aspects of travel concepts via travel photos based on contrastive language-image pretraining
Understanding travel concepts and their associated emotions is beneficial for promoting tourism destinations and attracting travelers seeking specific emotional experiences. However, few studies in tourism literature have explored the emotional aspects of travel concepts, likely due to the abstract nature of emotion, which makes capturing and analyzing emotions challenging. This paper introduces a novel method for the effective exploration of emo…
Is school discipline decapitalizing America's youth: Examining the effect of school discipline on family, peer, teacher, and school social capital
Understanding Residents’ Behavior for Smart City Management by Sequential and Periodic Pattern Mining
Understanding the residents’ routine and repetitive behavior patterns is important for city planners and strategic partners to enact appropriate city management policies. However, the existing approaches reported in smart city management areas often rely on clustering or machine learning, which are ineffective in capturing such behavioral patterns. Aiming to address this research gap, this article proposes an analytical framework, adopting sequen…
A computer vision-based concept model to recommend domestic overseas-like travel experiences: A design science study
Travel location recommendation systems have long been used by travellers for their ability to suggest destinations and potential travel experiences that match travellers' desires. Recently, a new type of domestic travel has emerged, namely domestic overseas-like travel experiences. These experiences are attractive to travellers who have a preference for exotic locations but no desire to travel internationally. Existing travel recommendation syste…
Covid-19, geopolitics and risk management: Towards framing a reciprocal, coordinated, responsive and empathetic international education sector
Geopolitics is shaping the international education landscape. International education has trationally been used as a tool to boost transnational cooperation, foster multilateral and global ties, and reduce tensions between nations. Such a role has been eroded and international education has been weaponised in the context of escalating political turbulences and disputes over the COVID-19 pandemic. In particular, the relationship between Australia …
Abroad-at-Home: Identifying domestic tourism locations for overseas-like travel experiences by leveraging concept modeling
Improving the resident–tourist relationship in urban hotspots
High volumes of tourists often pose a threat to tourism and decrease the quality of life for local residents, particularly in attractive urban tourism places. Yet, to date only a few solution-oriented studies have attempted to alleviate the overtourism problems and to improve the resident-tourist relationship. This study aims to present potential solutions, based on data analytics. Combining venue-referenced social media data with topic modelling…
Predictivity of tourism demand data
Navigating ‘Home Schooling’ during Covid-19: Australian public response on Twitter
COVID-19 has wreaked havoc worldwide. Schools have escaped neither the pandemic nor its consequences. Indeed, by April 2020, schools had been suspended in 189 countries, affecting 89% of learners globally. While the Australian government has implemented variously effective health and economic policies in response to COVID-19, their inability to agree with states on education policy during the pandemic caused considerable confusion and anxiety. Ac…
Discovering highly profitable travel patterns by high-utility pattern mining
Discovering implicit activity preferences in travel itineraries by topic modeling
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
Identifying emerging hotel preferences using Emerging Pattern Mining technique
A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
Identifying changes and trends in Hong Kong outbound tourism
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
Identifying emerging hotel preferences using Emerging Pattern Mining technique
A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
Discovering implicit activity preferences in travel itineraries by topic modeling
Identifying changes and trends in Hong Kong outbound tourism
Predictivity of tourism demand data
Discovering highly profitable travel patterns by high-utility pattern mining
Abroad-at-Home: Identifying domestic tourism locations for overseas-like travel experiences by leveraging concept modeling
Navigating ‘Home Schooling’ during Covid-19: Australian public response on Twitter
COVID-19 has wreaked havoc worldwide. Schools have escaped neither the pandemic nor its consequences. Indeed, by April 2020, schools had been suspended in 189 countries, affecting 89% of learners globally. While the Australian government has implemented variously effective health and economic policies in response to COVID-19, their inability to agree with states on education policy during the pandemic caused considerable confusion and anxiety. Ac…
Identifying changes and trends in Hong Kong outbound tourism
A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
Identifying emerging hotel preferences using Emerging Pattern Mining technique
Discovering implicit activity preferences in travel itineraries by topic modeling
Discovering highly profitable travel patterns by high-utility pattern mining
Improving the resident–tourist relationship in urban hotspots
High volumes of tourists often pose a threat to tourism and decrease the quality of life for local residents, particularly in attractive urban tourism places. Yet, to date only a few solution-oriented studies have attempted to alleviate the overtourism problems and to improve the resident-tourist relationship. This study aims to present potential solutions, based on data analytics. Combining venue-referenced social media data with topic modelling…
Predictivity of tourism demand data
Navigating ‘Home Schooling’ during Covid-19: Australian public response on Twitter
COVID-19 has wreaked havoc worldwide. Schools have escaped neither the pandemic nor its consequences. Indeed, by April 2020, schools had been suspended in 189 countries, affecting 89% of learners globally. While the Australian government has implemented variously effective health and economic policies in response to COVID-19, their inability to agree with states on education policy during the pandemic caused considerable confusion and anxiety. Ac…
Covid-19, geopolitics and risk management: Towards framing a reciprocal, coordinated, responsive and empathetic international education sector
Geopolitics is shaping the international education landscape. International education has trationally been used as a tool to boost transnational cooperation, foster multilateral and global ties, and reduce tensions between nations. Such a role has been eroded and international education has been weaponised in the context of escalating political turbulences and disputes over the COVID-19 pandemic. In particular, the relationship between Australia …
Abroad-at-Home: Identifying domestic tourism locations for overseas-like travel experiences by leveraging concept modeling
Understanding Residents’ Behavior for Smart City Management by Sequential and Periodic Pattern Mining
Understanding the residents’ routine and repetitive behavior patterns is important for city planners and strategic partners to enact appropriate city management policies. However, the existing approaches reported in smart city management areas often rely on clustering or machine learning, which are ineffective in capturing such behavioral patterns. Aiming to address this research gap, this article proposes an analytical framework, adopting sequen…
A computer vision-based concept model to recommend domestic overseas-like travel experiences: A design science study
Travel location recommendation systems have long been used by travellers for their ability to suggest destinations and potential travel experiences that match travellers' desires. Recently, a new type of domestic travel has emerged, namely domestic overseas-like travel experiences. These experiences are attractive to travellers who have a preference for exotic locations but no desire to travel internationally. Existing travel recommendation syste…
Exploring emotional aspects of travel concepts via travel photos based on contrastive language-image pretraining
Understanding travel concepts and their associated emotions is beneficial for promoting tourism destinations and attracting travelers seeking specific emotional experiences. However, few studies in tourism literature have explored the emotional aspects of travel concepts, likely due to the abstract nature of emotion, which makes capturing and analyzing emotions challenging. This paper introduces a novel method for the effective exploration of emo…
Is school discipline decapitalizing America's youth: Examining the effect of school discipline on family, peer, teacher, and school social capital
Work for stay: Balancing reciprocity in accommodation
Geography (14 works) · Tourism (12 works) · Business (11 works) · Computer Science (10 works) · Diverse Aspects of Tourism Research (10 works) · Marketing (9 works) · Advertising (6 works) · Digital Marketing and Social Media (6 works) · Psychology (5 works) · Cartography (4 works)