Researcher Profile

  • Professor, Computer Science, The Australian National University, Director, ANU Computational Media Lab, and Executive member, ANU Humanising Machine Intelligence Project

    http://cm.cecs.anu.edu.au/

    https://hmi.anu.edu.au/

  • Machine learning, stochastic processes, economics of online attention, machine learning on graphs and sequences, natural language processing, large-scale measurement studies of online social data, and data visualisation

  • Machine learning, stochastic processes, economics of online attention, machine learning on graphs and sequences, natural language processing, large-scale measurement studies of online social data, and data visualisation

  • Networks of time series, stochastic point processes, and modeling online popularity

    Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series, Alasdair Tran, Alexander Mathews, Cheng Soon Ong, and Lexing Xie, Proceedings of The Web Conference 2021

    UNIPoint: Universally approximating point processes intensities. Alexander Soen*, Alexander Mathews, Daniel Grixti-Cheng, and Lexing Xie, AAAI 2021

    Variation across Scales: Measurement Fidelity under Twitter Data Sampling, Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie, International AAAI Conference on Web and Social Media (ICWSM ’20)

    Estimating Attention Flow in Online Video Networks, Siqi Wu*, Marian-Andrei Rizoiu & Lexing Xie, Proceedings of the ACM on Human-Computer Interaction, vol. 3, no. CSCW, pp. 1–25, (Best paper honourable mention)

    Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity, Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrian, Honglin Yu, Pascal van Hentenryck, WWW '17, Proceedings of the 26th international conference on World Wide Web, Perth, Australia, April 2017

    SIR-Hawkes: Linking Epidemic Models and Hawkes Point Processes, Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark Carman, and Lexing Xie, WWW 2018: The 2018 Web Conference, Lyon, France, April 2018.

    Generating stylistic image captions

    SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text, Alexander Mathews, Lexing Xie, Xuming He, IEEE/CVF Conf on Computer Vision and Pattern Recognition (CVPR) 2018

    SentiCap: Generating Image Captions with Sentiments, Alexander Mathews, Lexing Xie, Xuming He, Association for the Advancement of Artificial Intelligence (AAAI) 2016, Feb 2016

    Visualisation, deep learning for AI planning

    Influence Flowers of Academic Entities, Shin, Minjeong, Soen, Alexander, Readshaw, Benjamin T, Blackburn, Stephen M, Whitelaw, Mitchell & Xie, Lexing 2019, IEEE Conf. on Visual Analytics Science and Technology (VAST 2019)

    Action Schema Networks: Generalised Policies with Deep Learning, Toyer, Sam; Trevizan, Felipe; Thiébaux, Sylvie; and Xie, Lexing. AAAI Conference on Artificial Intelligence (AAAI), New Orleans, 2018.

  • Social Network Analysis And Network Disruption; Social Influence – Micro, Meso And Macro Levels; Social, Cognitive, Ethical and Legal Aspects Of Big Data And AIML; and Analytical Reasoning


  • Twitter Handle     @lexing
    Email Address lexing.xie@anu.edu.au

 

Lexing Xie

Overview

Lexing Xie is Professor of Computer Science at the Australian National University, she leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au). Her research interests are in machine learning and social media. Of particular interest are stochastic point process models, neural networks for sequences and networks, applied to problems such as modeling popularity in social media, vision and language, and data visualisation. Her research is supported by the US Air Force Office of Scientific Research, Data61, Data to Decisions CRC and the Australian Research Council. Lexing received the 2018 Chris Wallace Award for Outstanding Research, her research has received seven best student paper and best paper awards in ACM and IEEE conferences between 2002 and 2019. She was IEEE Circuits and Systems Society Distinguished Lecturer 2016-2017, and editor-in-chief of AAAI ICWSM (Intl. Conf. on Web and Social Media) 2018-2021. She is associate editor of ACM Trans. of Information Systems, ACM TiiS and PeerJ Computer Science. She was research staff member at IBM T.J. Watson Research Center in New York, and holds B.S. from Tsinghua University, Beijing, China, and M.S. and Ph.D. degrees from Columbia University, all in Electrical Engineering.