Conferences

Invited Talks

  1. 13th Workshop on High Dimensional Data Analysis (HDDA-XIII) (29 August 2024)
    ESSEC Business School, Asia-Pacific campus, Singapore
    Variational Inference Based on A Subclass of Closed Skew Normal
  2. 2024 ISBA World Meeting (3 July 2024)
    Ca’ Foscari University of Venice, Italy
    Variational Inference Based on A Subclass of Closed Skew Normal
  3. EAC-ISBA Conference 2024 (26 June 2024)
    The Education University of Hong Kong
    Variational Inference Based on A Subclass of Closed Skew Normal
  4. 25th International Conference on Computational Statistics (24 Aug 2023)
    University of London, UK
    Efficient data augmentation techniques for state space models
  5. 6th International Conference on Econometrics and Statistics (2 Aug 2023)
    Waseda University, Tokyo, Japan
    Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
  6. 16th International Conference on Computational and Financial Econometrics (19 Dec 2022)
    King’s College, London, UK
    Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
  7. 6th Eastern Asia Chapter of International Society for Bayesian Analysis Conference (8 Jul 2022)
    Feng Chia University, Taiwan
    Efficient data augmentation techniques for state space models
  8. 5th International Conference on Econometrics and Statistics (4 Jun 2022)
    Ryukoku University, Kyoto, Japan
    Efficient data augmentation techniques for state space models
  9. 14th International conference of the ERCIM WG on Computational and Methodological Statistics (19 Dec 2021)
    King’s College London, UK
    Use of model reparametrization to improve variational Bayes
  10. 63rd International Statistical Institute World Statistics Congress (15 Jul 2021)
    International Statistical Institute, The Netherlands
    Use of model reparametrization to improve variational Bayes
  11. 2021 World Meeting of the International Society for Bayesian Analysis (29 Jun 2021)
    University of Connecticut, United States
    Bayesian variational inference for exponential random graph models
  12. 4th Eastern Asia Chapter Meeting on Bayesian Statistics (14 Jul 2019)
    Kobe University, Japan
    Use of model reparametrization to improve variational Bayes
  13. 3rd Eastern Asia Chapter Meeting on Bayesian Statistics (13 Jul 2018)
    Seoul National University, South Korea
    Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks
  14. 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting (27 Jun 2018)
    National University of Singapore, Singapore
    Dynamic degree‐corrected blockmodels for social networks: a nonparametric approach
  15. 2nd International Conference on Econometrics and Statistics (21 Jun 2018)
    City University of Hong Kong, Hong Kong
    Efficient data augmentation techniques for Gaussian state space models
  16. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (12 Dec 2015)
    University of London, UK
    Topic-adjusted visbility metric for scientific articles
  17. Joint 24th ICSA Applied Statistics Symposium and 13th Graybill Conference (14 Jun 2015)
    Fort Collins, Colorado, USA
    Topic-adjusted visbility metric for scientific articles
  18. Australian Statistical Conference in conjunction with the Institute of Mathematical Statistics Annual Meeting (8 Jul 2014)
    Australian Technology Park, Sydney, Australia
    Fitting and diagnosing generalized linear mixed models using a partially noncentered parametrization
  19. 4th Singapore Conference on Statistical Science (7 Feb 2014)
    National University of Singapore, Singapore
    A stochastic variational framework for fitting and diagnosing generalized linear mixed models

Contributed Talks

  1. 5th annual Australian Social Network Analysis Conference (26 Nov 2020)
    University of Western Australia, Australia
    Bayesian variational inference for “exponential random graph models
  2. 2nd Australian Social Network Analysis Conference (29 Nov 2017)
    University of Sydney, Australia
    Nonparametric degree-corrected blockmodels for social networks
  3. 1st International Conference on Econometrics and Statistics (17 Jun 2017)
    The Hong Kong University of Science and Technology, Hong Kong
    Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks
  4. 9th ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data (22 Dec 2013)
    Hong Kong Baptist University, Hong Kong
    Variational greedy algorithm for clustering of grouped data

Seminars

  1. Data Science at QUT Distinguished Visitor Seminar (21 Sep 2021)
    Queensland University of Technology, Australia
    Efficient data augmentation techniques for state space models
  2. OxCSML (Oxford Computational Statistics and Machine Learning) Seminar Series (5 Mar 2021)
    University of Oxford, UK
    Use of model reparametrization to improve variational Bayes
  3. Statistics Seminars (24 Sep 2020)
    The University of Auckland, New Zealand
    Use of model reparametrization to improve variational Bayes
  4. Department of Statistics and Applied Probability Seminar (27 Mar 2019)
    National University of Singapore, Singapore
    Use of model reparametrization to improve variational Bayes
  5. Statistics Seminars  (20 Jul 2018)
    Australia National University, Australia
    Topic-Adjusted Visibility Metric for Scientific Articles
  6. National Institute for Applied Statistics Research Australia (NIASRA) Seminar Series (17 Jul 2018)
    University of Wollongong, Australia
    Topic-Adjusted Visibility Metric for Scientific Articles
  7. Department of Statistics and Applied Probability Seminar (15 Feb 2017)
    National University of Singapore, Singapore
    Topic-adjusted visibility metric for scientific articles
  8. Institute for Choice Seminar (9 Jul 2014)
    University of South Australia, Australia
    Stochastic variational inference for large-scale discrete choice models using adaptive batch sizes
  9. Department of Statistics and Applied Probability Seminar (24 Jan 2014)
    National University of Singapore
    Variational Approximations for Mixtures of Complex Regression Models

Workshops

  1. Emerging New Topics in Functional Data Analysis (11 Jul 2023)
    Institute for Mathematical Sciences, National University of Singapore, Singapore
    Efficient data augmentation techniques for some classes of state space models
  2. Machine Learning and Its Applications (27 Oct 2022)
    Institute for Mathematical Sciences, National University of Singapore, Singapore
    Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
  3. Workshop Series in Applied Mathematics (4 Aug 2022)
    Ho Chi Minh City, Vietnam
    Efficient data augmentation techniques for some classes of state space models
  4. Bayesian Computation for High-Dimensional Statistical Models (Closing Workshop) (21 Sep 2018)
    Institute for Mathematical Sciences, National University of Singapore, Singapore
    Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks
  5. Bayesian Computation for High-Dimensional Statistical Models (Reading Groups and Local Seminars) (4 Sep 2018)
    Institute for Mathematical Sciences, National University of Singapore, Singapore
    Dynamic degree‐corrected blockmodels for social networks: a nonparametric approach

Posters

Participant

  • Networks (10 Feb 2016) Royal Statistical Society Applied Probability Section, UK
  • Complex Systems in Time Series Conference (4 – 5 Dec 2015) London School of Economics, UK
  • Global Young Scientists Summit (GYSS@one-north) (20 – 24 Jan 2014) Nanyang Technological University, Singapore
  • Mathematical Science of Understanding and Predicting Regional Climate: A School and Workshop (28 Feb – 11 Mar 2011) Institute for Mathematical Sciences, National University of Singapore
  • First Singapore Conference on Statistical Science (18 – 19 Nov 2010) Department of Statistics and Applied Probability, National University of Singapore
  • Workshop on Recent Advances in Bayesian Computation (20 – 22 Sep 2010) Institute for Mathematical Sciences, National University of Singapore