activity
20192023
most citedCrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding

23 citations · 26 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI2023

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…

cs.IR2021★ 3 cited

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…

cs.SI2020

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…

cs.CL2020★ 23 cited

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…

quant-ph2019

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…

cs.CL2019

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…