activity
20162022
most citedMWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

20 citations · 37 across the 12 of their papers we have counts for

collaborators
Showing cs.SIShow all

10 papers · 1 filter

cs.SI20201 cited

On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation

Amila Silva, Pei-Chi Lo, Ee-Peng Lim

Personal values have significant influence on individuals' behaviors, preferences, and decision making. It is therefore not a surprise that personal values of a person could influe…

cs.SI20191 cited

Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks

Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo +1

User identity linkage across online social networks is an emerging research topic that has attracted attention in recent years. Many user identity linkage methods have been propose…

cs.SI20192 cited

Unsupervised User Identity Linkage via Factoid Embedding

Wei Xie, Xin Mu, Roy Ka-Wei Lee +2

User identity linkage (UIL), the problem of matching user account across multiple online social networks (OSNs), is widely studied and important to many real-world applications. Mo…

cs.SI2018

JobComposer: Career Path Optimization via Multicriteria Utility Learning

Richard J. Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim +1

With online professional network platforms (OPNs, e.g., LinkedIn, Xing, etc.) becoming popular on the web, people are now turning to these platforms to create and share their profe…

cs.SI2018

Talent Flow Analytics in Online Professional Network

Richard J. Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok +3

Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop…

cs.SI2018

Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase Dietary Self-Tracking Compliance

Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek +1

A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, prom…