Qingwei Liu

Qingwei Liu

He/him

Visiting Fellow in DSDS, NUS.

Curriculum Vitae

Education

  • Ph.D in Probability Theory, Aug 2017 – Oct 2021, The University of Melbourne, Australia.
  • M.S. in Probability Theory and Mathematical Statistics, Sep 2015 – Jun 2017, University of Science and Technology of China, China.
  • B.S. in Mathematics and Applied Mathematics, Sep 2011 – Jun 2015, Hunan University, China.

Work Experience

  • Jul 2024 – Present: Visiting Fellow
    • National University of Singapore
  • Jan 2022 – Jun 2024: Research Fellow
    • Nanyang Technological University
    • Supervisor: Prof. Nicolas Privault
  • Sep 2021 – Dec 2021: Research Assistant
    • The University of Melbourne
    • Supervisor: Dr. Liuhua Peng
  • 2018 – 2021: Casual Tutor
    • The University of Melbourne

Publications

In Press

Graph connectivity with fixed endpoints in the random-connection model

Authors: Q. Liu and N. Privault

To be published in: Probab. Engrg. Inform. Sci.

Expected Year: 2024

Link to full text

DOI: 10.48550/arXiv.2312.12745

Journal Articles

On moderate deviations in Poisson approximation

Authors: Q. Liu and A. Xia

Published in: J. Appl. Probab. 57: 1005–-1027

Year: 2020

Link to full text

DOI: 10.1017/jpr.2020.47

Geometric sums, size biasing and zero biasing

Authors: Q. Liu and A. Xia

Published in: Electron. Commun. Probab.

Year: 2022

Link to full text

DOI: 10.1214/22-ECP462

Normal approximation of subgraphs counts in the random-connection model

Authors: Q. Liu and N. Privault

Published in: Bernoulli

Year: 2024

Link to full text

DOI: 10.3150/23-BEJ1712

Conference Papers

WGCN: Graph Convolutional Networks with Weighted Structural Features

Authors: Y. Zhao, J. Qi, Q. Liu and R. Zhang

Presented at: SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Venue: Virtual Event Canada

Year: 2021

Link to full text

Talks

  • NTU-Sorbonne Workshop, 19-21 February 2024, Singapore.
  • IMS Asia Pacific Rim Meeting 2024, 4-7 January 2024, Melbourne, Australia. (Invited talk)
  • Bernoulli-IMS One World Symposium 2020, 24-28 August 2020, Online.
  • 3rd Victorian Research Students’ Meeting in Probability and Statistics, 2 October 2019, Melbourne, Australia.
  • 20th INFORMS Applied Probability Society conference, 3-5 July 2019, Brisbane, Australia.

Teaching Experience

Tutorial Experience

Institution: The University of Melbourne, School of Mathematics and Statistics

Position: Tutor

Dates: 2018 - 2021

Overview of my tutorial experiences across multiple subjects, including Statistics, Probability, and more.

  • MAST20005 Statistics in Semester 2, 2021
  • MAST30020 Probability for Inference in Semester 1, 2020 & 2021
  • ACTL300051 Models for Insurance and Finance in Semester 2, 2019
  • MAST20004 Probability in Semester 1&2, 2019 & 2020
  • MAST30001 Stochastic Modelling in Semester 2, 2018
  • MAST20006 Probability for Statistics in Semester 1, 2018

Nonparametric Regression

Institution: National University of Singapore, Department of Statsitics & Data Science

Position: Lecturer

Dates: 2024

Graduate course covering kernel smoothing methods and nonparametric techniques, including applications in R.

This course focused on smoothing techniques, covering topics such as:

  • Kernel smoothing methods
  • Local polynomial regression
  • Applications in R
  • Cross-validation and bandwidth selection

For more details, refer to:

Service and Leadership

  • Chairman, Mathematical Modelling Association
    • Hunan University, 2012 – 2013