295 citations · 326 across the 7 of their papers we have counts for
7 papers
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…
Engineering Knowledge Graph from Patent Database
L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood +1
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent databa…
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…
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…