295 citations · 344 across the 14 of their papers we have counts for
14 papers
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
Junhua Liu, Yong Keat Tan, Bin Fu +1
Multi-turn intent classification is notably challenging due to the complexity and evolving nature of conversational contexts. This paper introduces LARA, a Linguistic-Adaptive Retr…
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
Junhua Liu, Justin Albrethsen, Lincoln Goh +2
Resource allocation in tactical ad-hoc networks presents unique challenges due to their dynamic and multi-hop nature. Accurate prediction of future network connectivity is essentia…
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…
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…
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…
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…
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…
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…