129 citations · 798 across the 46 of their papers we have counts for
47 papers
The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries
Cai Yang, Lexing Xie, Siqi Wu
News media is often referred to as the Fourth Estate, a recognition of its political power. New understandings of how media shape political beliefs and influence collective behavio…
Sampled Transformer for Point Sets
Shidi Li, Christian Walder, Alexander Soen +2
The sparse transformer can reduce the computational complexity of the self-attention layers to , whilst still being a universal approximator of continuous sequence-to-sequenc…
Stability and Efficiency of Personalised Cultural Markets
Haiqing Zhu, Yun Kuen Cheung, Lexing Xie
This work is concerned with the dynamics of online cultural markets, namely, attention allocation of many users on a set of digital goods with infinite supply. Such dynamic is impo…
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions
Lydia R. Lucchesi, Petra M. Kuhnert, Jenny L. Davis +1
Data preprocessing is a crucial stage in the data analysis pipeline, with both technical and social aspects to consider. Yet, the attention it receives is often lacking in research…
Determinantal Point Process Likelihoods for Sequential Recommendation
Yuli Liu, Christian Walder, Lexing Xie
Sequential recommendation is a popular task in academic research and close to real-world application scenarios, where the goal is to predict the next action(s) of the user based on…
Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics
JooYoung Lee, Siqi Wu, Ali Mert Ertugrul +2
The ideological asymmetries have been recently observed in contested online spaces, where conservative voices seem to be relatively more pronounced even though liberals are known t…
Mapping Topics in 100,000 Real-life Moral Dilemmas
Tuan Dung Nguyen, Georgiana Lyall, Alasdair Tran +4
Moral dilemmas play an important role in theorizing both about ethical norms and moral psychology. Yet thought experiments borrowed from the philosophical literature often lack the…
Fair Wrapping for Black-box Predictions
Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo +5
We introduce a new family of techniques to post-process ("wrap") a black-box classifier in order to reduce its bias. Our technique builds on the recent analysis of improper loss fu…
Interval-censored Hawkes processes
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li +4
Interval-censored data solely records the aggregated counts of events during specific time intervals - such as the number of patients admitted to the hospital or the volume of vehi…
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran, Alexander Mathews, Cheng Soon Ong +1
We propose a new model for networks of time series that influence each other. Graph structures among time series are found in diverse domains, such as web traffic influenced by hyp…
AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu +4
The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest. Moreover, attention trends…
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon +1
Most work on multi-document summarization has focused on generic summarization of information present in each individual document set. However, the under-explored setting of update…
UNIPoint: Universally Approximating Point Processes Intensities
Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng +1
Point processes are a useful mathematical tool for describing events over time, and so there are many recent approaches for representing and learning them. One notable open questio…
Variation across Scales: Measurement Fidelity under Twitter Data Sampling
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
A comprehensive understanding of data quality is the cornerstone of measurement studies in social media research. This paper presents in-depth measurements on the effects of Twitte…
Transform and Tell: Entity-Aware News Image Captioning
Alasdair Tran, Alexander Mathews, Lexing Xie
We propose an end-to-end model which generates captions for images embedded in news articles. News images present two key challenges: they rely on real-world knowledge, especially…
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
It is well-known that online behavior is long-tailed, with most cascaded actions being short and a few being very long. A prominent drawback in generative models for online events…
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
Rui Zhang, Christian J. Walder, Edwin V. Bonilla +2
Approximate inference techniques are the cornerstone of probabilistic methods based on Gaussian process priors. Despite this, most work approximately optimizes standard divergence…
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
Epidemic models and self-exciting processes are two types of models used to describe diffusion phenomena online and offline. These models were originally developed in different sci…
Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
Stephen M. Blackburn, Kathryn S. McKinley, Lexing Xie
Although the computer science community successfully harnessed exponential increases in computer performance to drive societal and economic change, the exponential growth in public…
Estimating Attention Flow in Online Video Networks
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conce…
ASNets: Deep Learning for Generalised Planning
Sam Toyer, Felipe Trevizan, Sylvie Thiébaux +1
In this paper, we discuss the learning of generalised policies for probabilistic and classical planning problems using Action Schema Networks (ASNets). The ASNet is a neural networ…
Influence Flowers of Academic Entities
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw +3
We present the Influence Flower, a new visual metaphor for the influence profile of academic entities, including people, projects, institutions, conferences, and journals. While ma…
Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin +2
This paper considers extractive summarisation in a comparative setting: given two or more document groups (e.g., separated by publication time), the goal is to select a small numbe…
Efficient Non-parametric Bayesian Hawkes Processes
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu +1
In this paper, we develop an efficient nonparametric Bayesian estimation of the kernel function of Hawkes processes. The non-parametric Bayesian approach is important because it pr…