Guanglin Zhou

Guanglin Zhou

PhD Candidate at School of Computer Science and Engineering

University of New South Wales

Biography

Guanglin is a Phd candidate at School of Computer Science and Enginneering, University of New South Wales, working with Prof. Lina Yao. His research interests include causal representation learning, reinforcement leanring, and data mining with applications in recommendation systems.

Download my resumé.

Interests
  • Causal Representation Learning
  • Reinforcement Learning
  • Recommendation Systems
Education

  • PhD in Computer Science and Engineering, 2021-Now

    University of New South Wales

  • MEng in Automation, 2019

    University of Science and Technology of China

  • BSc in Measurement & Control Technology and Instrument, 2016

    XiDian University

Publications

Quickly discover relevant content by filtering publications.
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu (2021). Cycle-Balanced Representation Learning For Counterfactual Inference. In arXiv.

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Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang (2021). A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. In arXiv.

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Professional Activity

Reviewer in ICLR'21
The Ninth International Conference on Learning Representations Nov 2021
Reviewer in WSDM'21
The 14th ACM International Conference on Web Search and Data Mining Sep 2021
Reviewer in ADMA'21
International Conference on Advanced Data Mining and Applications Sep 2021

Posts

SSH into your CSE desktop from home
How to ssh your cse desktop from home Wanna keep your working environment consistent and treat the desktop only as a computing device? This is what you want. The whole process includes four parts:
Guanglin Zhou
Last updated on Mar 6, 2022 1 min read Tools
Propensity Score
Welcome to the world of causality. In this post, I introduce the definition of the propensity score and how to use it for causal inference. I perform a detailed literature review related to the propensity score and present a valid experiment to help you understand.
Guanglin Zhou
Last updated on Mar 4, 2022 5 min read Causal inference
Demo-example
Welcome 👋 We know that first impressions are important, so we’ve populated your new site with some initial content to help you get familiar with everything in no time.
吳恩達
Last updated on Mar 6, 2022 3 min read Demo, 教程
Demo-example

Experience

 
 
 
 
 
Huawei
Research Engineer
Huawei
Sep 2020 – Jan 2021 Hangzhou, China
Machine vision
 
 
 
 
 
Huawei
Research Engineer
Huawei
Aug 2019 – Sep 2020 Shanghai, China
  • Autonomous driving models.
  • Data mining and analysis.

Contact

  • jameszhou.ustc@gmail.com
  • Computer Science Building (K17), Engineering Rd, UNSW Sydney, Kensington 2052
  • Enter K17 and take the stairs to 501-31 on Floor 5
  • Anytime