Anping Zhang

I am a 3rd year PhD student at Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, advised by Prof. Yang Li. Currently I am a visting scholar in the Human Mobility & Network Science Lab at UCB, hosted by Prof. Marta C. Gonzalez.

I received my B.Sc degree with honour from Imperial College London, and M.Sc. degree with distinction from University College London.

My research interests are graph learning, data mining and topological data analysis.

E-mail: zap21@mails.tsinghua.edu.cn & anping@berkeley.edu

Curriculum Vitae

(*Equal Contribution)

We proposed a novel deep graph clustering framework with temporal consistency regularization on inter-community structures, inspired by the concept of minimal network topological changes within short intervals.

The paper reports a data challenge that aims to develop models predicting volunteer retention and future collaborations using a dataset from a mobile crowdsourcing platform in Shenzhen, China, with the participation and performance of several teams evaluated through Kaggle.

A quantitive study on how volunteers collaborate to achieve rapid mobilisation during the COVID-19 outbreak, using the concept of self-organisation. It proposes a data-driven framework to investigate when and how self-organisation emerged during the pandemic response and how it relates to effectiveness of volunteer organisations in general.

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