295 citations · 383 across the 23 of their papers we have counts for
24 papers
SBTRec- A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis
Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim
When traveling to an unfamiliar city for holidays, tourists often rely on guidebooks, travel websites, or recommendation systems to plan their daily itineraries and explore popular…
Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach
Junhua Liu, Kwan Hui Lim, Kristin L. Wood +1
Itinerary recommendation is a complex sequence prediction problem with numerous real-world applications. This task becomes even more challenging when considering the optimization o…
SkillRec: A Data-Driven Approach to Job Skill Recommendation for Career Insights
Xiang Qian Ong, Kwan Hui Lim
Understanding the skill sets and knowledge required for any career is of utmost importance, but it is increasingly challenging in today's dynamic world with rapid changes in terms…
POIBERT: A Transformer-based Model for the Tour Recommendation Problem
Ngai Lam Ho, Kwan Hui Lim
Tour itinerary planning and recommendation are challenging problems for tourists visiting unfamiliar cities. Many tour recommendation algorithms only consider factors such as the l…
A Transformer-based Framework for POI-level Social Post Geolocation
Menglin Li, Kwan Hui Lim, Teng Guo +1
POI-level geo-information of social posts is critical to many location-based applications and services. However, the multi-modality, complexity and diverse nature of social media d…
Universal Evasion Attacks on Summarization Scoring
Wenchuan Mu, Kwan Hui Lim
The automatic scoring of summaries is important as it guides the development of summarizers. Scoring is also complex, as it involves multiple aspects such as fluency, grammar, and…
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling
Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing +1
The scientific world is changing at a rapid pace, with new technology being developed and new trends being set at an increasing frequency. This paper presents a framework for condu…
Real-time Spatio-temporal Event Detection on Geotagged Social Media
Yasmeen George, Shanika Karunasekera, Aaron Harwood +1
A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are usef…
User Identification across Social Networking Sites using User Profiles and Posting Patterns
Prashant Solanki, Kwan Hui Lim, Aaron Harwood
With the prevalence of online social networking sites (OSNs) and mobile devices, people are increasingly reliant on a variety of OSNs for keeping in touch with family and friends,…
Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles
Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing +1
The advent of social media platforms has been a catalyst for the development of digital photography that engendered a boom in vision applications. With this motivation, we introduc…
User Preferential Tour Recommendation Based on POI-Embedding Methods
Ngai Lam Ho, Kwan Hui Lim
Tour itinerary planning and recommendation are challenging tasks for tourists in unfamiliar countries. Many tour recommenders only consider broad POI categories and do not align we…
TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities
Jolin Shaynn-Ly Kwan, Kwan Hui Lim
The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID syste…
Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks
Jerome Heng, Junhua Liu, Kwan Hui Lim
An important aspect of urban planning is understanding crowd levels at various locations, which typically require the use of physical sensors. Such sensors are potentially costly a…
Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis
Marcus Yong, Kwan Hui Lim
In today's highly urbanized environment, the Urban Heat Island (UHI) phenomenon is increasingly prevalent where surface temperatures in urbanized areas are found to be much higher…
Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter
Jolin Shaynn-Ly Kwan, Kwan Hui Lim
The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with…
Mining Influentials and their Bot Activities on Twitter Campaigns
Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood
Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We prop…
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Yan Zhang, Ruidan He, Zuozhu Liu +2
BERT is inefficient for sentence-pair tasks such as clustering or semantic search as it needs to evaluate combinatorially many sentence pairs which is very time-consuming. Sentence…
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in…
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous a…
Self-Evolving Adaptive Learning for Personalized Education
Junhua Liu, Lionell Loh, Ernest Ng +3
Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current e…
A Large-scale Industrial and Professional Occupation Dataset
Junhua Liu, Yung Chuen Ng, Kwan Hui Lim
There has been growing interest in utilizing occupational data mining and analysis. In today's job market, occupational data mining and analysis is growing in importance as it enab…
Hybrid Quantum-Classical Convolutional Neural Networks
Junhua Liu, Kwan Hui Lim, Kristin L. Wood +3
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be a…
IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis
Junhua Liu, Yung Chuen Ng, Kristin L. Wood +1
Occupational data mining and analysis is an important task in understanding today's industry and job market. Various machine learning techniques are proposed and gradually deployed…
Strategic and Crowd-Aware Itinerary Recommendation
Junhua Liu, Kristin L. Wood, Kwan Hui Lim
There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time a…