b'Lexing Xie'

research

∙ 08/02/2023

The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries

News media is often referred to as the Fourth Estate, a recognition of i...

0 Cai Yang, et al. ∙

research

∙ 02/28/2023

Sampled Transformer for Point Sets

The sparse transformer can reduce the computational complexity of the se...

0 Shidi Li, et al. ∙

research

∙ 06/10/2022

Smallset Timelines: A Visual Representation of Data Preprocessing Decisions

Data preprocessing is a crucial stage in the data analysis pipeline, wit...

0 Lydia R. Lucchesi, et al. ∙

research

∙ 04/25/2022

Determinantal Point Process Likelihoods for Sequential Recommendation

Sequential recommendation is a popular task in academic research and clo...

0 Yuli Liu, et al. ∙

research

∙ 01/31/2022

Fair Wrapping for Black-box Predictions

We introduce a new family of techniques to post-process ("wrap") a black...

2 Alexander Soen, et al. ∙

research

∙ 11/27/2021

Factorized Fourier Neural Operators

The Fourier Neural Operator (FNO) is a learning-based method for efficie...

0 Alasdair Tran, et al. ∙

research

∙ 04/16/2021

Interval-censored Hawkes processes

This work builds a novel point process and tools to use the Hawkes proce...

10 Marian-Andrei Rizoiu, et al. ∙

research

∙ 02/15/2021

Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series

We propose a new model for networks of time series that influence each o...

0 Alasdair Tran, et al. ∙

research

∙ 02/03/2021

AttentionFlow: Visualising Influence in Networks of Time Series

The collective attention on online items such as web pages, search terms...

0 Minjeong Shin, et al. ∙

research

∙ 10/06/2020

SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

Most work on multi-document summarization has focused on generic summari...

0 Umanga Bista, et al. ∙

research

∙ 07/28/2020

Universal Approximation with Neural Intensity Point Processes

We propose a class of neural network models that universally approximate...

9 Alexander Soen, et al. ∙

research

∙ 04/17/2020

Transform and Tell: Entity-Aware News Image Captioning

We propose an end-to-end model which generates captions for images embed...

16 Alasdair Tran, et al. ∙

research

∙ 03/21/2020

Variation across Scales: Measurement Fidelity under Twitter Data Sampling

A comprehensive understanding of data bias is the cornerstone of mitigat...

0 Siqi Wu, et al. ∙

research

∙ 12/21/2019

Quantile Propagation for Wasserstein-Approximate Gaussian Processes

In this work, we develop a new approximation method to solve the analyti...

13 Rui Zhang, et al. ∙

research

∙ 09/05/2019

Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration

Although the computer science community successfully harnessed exponenti...

0 Stephen M. Blackburn, et al. ∙

research

∙ 08/20/2019

Estimating Attention Flow in Online Video Networks

Online videos have shown tremendous increase in Internet traffic. Most v...

0 Siqi Wu, et al. ∙

research

∙ 08/20/2019

Estimating Attention Flow in Online Video Network

Online videos have shown tremendous increase in Internet traffic. Most v...

0 Siqi Wu, et al. ∙

research

∙ 08/04/2019

ASNets: Deep Learning for Generalised Planning

In this paper, we discuss the learning of generalised policies for proba...

0 Sam Toyer, et al. ∙

research

∙ 07/30/2019

Influence Flowers of Academic Entities

We present the Influence Flower, a new visual metaphor for the influence...

0 Minjeong Shin, et al. ∙

research

∙ 12/06/2018

Comparative Document Summarisation via Classification

This paper considers extractive summarisation in a comparative setting: ...

0 Umanga Bista, et al. ∙

research

∙ 10/08/2018

Efficient Non-parametric Bayesian Hawkes Processes

In this paper, we develop a non-parametric Bayesian estimation of Hawkes...

6 Rui Zhang, et al. ∙

research

∙ 08/13/2018

D-PAGE: Diverse Paraphrase Generation

In this paper, we investigate the diversity aspect of paraphrase generat...

0 Qiongkai Xu, et al. ∙

research

∙ 06/29/2018

GOTO Rankings Considered Helpful

Rankings are a fact of life. Whether or not one likes them, they exist a...

0 Emery Berger, et al. ∙

research

∙ 05/18/2018

SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text

Linguistic style is an essential part of written communication, with the...

0 Alexander Mathews, et al. ∙

research

∙ 05/15/2018

Simplifying Sentences with Sequence to Sequence Models

We simplify sentences with an attentive neural network sequence to seque...

0 Alexander Mathews, et al. ∙

research

∙ 04/06/2018

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks

Understanding and predicting the popularity of online items is an import...

0 Swapnil Mishra, et al. ∙

research

∙ 10/17/2017

Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance

Images in the wild encapsulate rich knowledge about varied abstract conc...

0 Aditya Mogadala, et al. ∙

research

∙ 09/13/2017

Action Schema Networks: Generalised Policies with Deep Learning

In this paper, we introduce the Action Schema Network (ASNet): a neural ...

0 Sam Toyer, et al. ∙

research

∙ 09/08/2017

Beyond Views: Measuring and Predicting Engagement in Online Videos

Online videos account for 73 and proportional amount of traffic are stil...

0 Siqi Wu, et al. ∙

research

∙ 09/08/2017

Beyond Views: Measuring and Predicting Engagement on YouTube Videos

This work studies engagement, or time spent watching online videos. Most...

0 Siqi Wu, et al. ∙

research

∙ 08/21/2017

A Tutorial on Hawkes Processes for Events in Social Media

This chapter provides an accessible introduction for point processes, an...

0 Marian-Andrei Rizoiu, et al. ∙

research

∙ 08/21/2016

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches

Knowledge graph construction consists of two tasks: extracting informati...

0 Dongwoo Kim, et al. ∙

research

∙ 10/06/2015

SentiCap: Generating Image Descriptions with Sentiments

The recent progress on image recognition and language modeling is making...

0 Alexander Mathews, et al. ∙

Lexing Xie

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