About Me

I am a PhD student in Mathematical Sciences (Numerical Analysis). I am interested in Numerical Linear Algebra and Machine Learning and the interplay between these two fields. I am currently looking at problems related to Evolving Graphs.

My supervisor is Professor Nicholas Higham and my co-supervisor is Doctor Stefan Güttel.

I was a visiting student (Spring 2016) at the MIT Julia Lab, which is a member of the bigdata@CSAIL MIT Big Data Initiative.

Contact details


Room 2.111, Alan Turing Building
School of Mathematics
The University of Manchester
Manchester, M13 9PL, UK

Email: weijian.zhang AT manchester.ac.uk

LinkedIn: zweijian

Twitter: @zweijian

GitHub: weijianzhang


May 2018
I will present a poster on Etymo at Advances in Data Science Conference 2018 in Manchester, the UK.
April 2018
I presented a demo paper “Etymo: A New Discovery Engine for AI Research” at The Web Conference 2018 in Lyon, France.



I am a co-founder at Etymo, a visual discovery engine for AI research. Etymo leverages data summarization and visualization to empower individuals and organizations to find interesting and relevant research papers. We recently published a demo paper at The WebConf 2018.



I am the creator and main contributor of EvolvingGraphs.jl, a Julia software package for the creation, manipulation, and study of time-dependent networks. Many modern real-world networks are time dependent. Consider a group of online users interacting through messaging. Each message sent from user A to user B at time stamp t can be represented as an edge from A to B at time stamp t in an evolving graph. Ignoring the direction of time in a network flow can result in wrong information. However, it is difficult for researchers to model and study the evolving nature of such networks using traditional graph software package. EvolvingGraphs.jl is designed to meet this need.


Matrix Depot

I am the creator and main contributor of Matrix Depot, an extensible test matrix collection. Test matrices are important for exploring the behavior of linear algebra algorithms and for measuring their performance with respect to accuracy, stability, convergence rate, speed, or robustness. The aim of this project is to provide useful test matrices for researchers in Numerical Linear Algebra community.


Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, and Shuaiqiang Wang “Etymo: A New Discovery Engine for AI Research”, The 2018 Web Conference Companion, April, 2018, Lyon, France. ACM, New York, NY, USA. [pdf]

Jiahao Chen and Weijian Zhang, “The Right Way to Search Evolving Graphs”, Proceedings of IPDPS 2016. [pdf]

Weijian Zhang and Nicholas J. Higham, “Matrix Depot: An Extensible Test Matrix Collection for Julia”, PeerJ Comput. Sci., 2:e58, 2016. [pdf]

Weijian Zhang, “Dynamic Network Analysis in Julia”, MIMS EPrints, 2015.83, (2015). [pdf]