Welcome to Yilun Jin’s homepage!

I am currently a 1st year Ph.D. student at the CSE Department, the HKUST, advised by Professor Qiang Yang. My research interests lie in machine learning and data mining, and I am currently devoted into the newly proposed Federated Learning, both in algorithms and in privacy & security. I also find interest in network analysis and mining, such as graph embedding and graph neural networks.

Prior to joining the HKUST, I spent 4 wonderful years at Peking University, China, obtaining both a B.S in Computer Science and a B.Economics at the National School of Development. I was fortunate to have Prof. Guojie Song as my advisor during my days at PKU, with whom I collaborate very well.

You can contact me via (yilun.jin [at] connect.ust.hk) and (yljin [at] pku.edu.cn).


[June 2020] Beginning my internship at WeBank AI Department.

[May 2020] One paper accepted at KDD 2020.

[April 2020] One paper accepted at IJCAI 2020.

[January 2020] Two papers accepted at TheWebConf 2020 (Short Paper) and ECAI 2020.

[November 2019] Our paper GraLSP: Graph Neural Networks with Local Structural Patterns is accepted at AAAI 2020 [Paper]!

[November 2019] Our paper Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach was awarded Best Research Paper Runner-up at CIKM 2019! PDF

[November 2019] My personal webpage is online!


I hold a broad range of interests so as to keep enjoying life.

I enjoy sports including jogging and basketball. My favourite team in NBA is San Antonio Spurs and my favourite football club is Liverpool FC.

I am a civil aviation enthusiast. I am a member of the ACICFG, a team devoted to making subtitles and captions for documentaries related to civil aviation (such as the Air Crash Investigation). Some of our works are published on bilibili. I also write some articles on zhihu related to civil aviation and my research.

I am an alcoholist and I enjoy drinking, ranging from beers (American IPA, Trappist and Hefeweizen), Vodka (Smirnoff Black, Grey Goose) and Single Malt Scotch (among which I prefer Talisker, Lagavulin and Cragganmore). An image demonstrating genres of single malt scotch is here.


I make friends with many elite guys who are doing state-of-the-art research in many areas. Some of their homepages are below.

Haodong Duan (MPhil. Student at the Chinese University of Hong Kong, Computer Vision).