Hi, it's Zhaocheng.


I am a third-year Ph.D. candidate at Mila - Quebec AI Institute, University of Montreal, advised by Prof. Jian Tang. Prior to that, I obtained my B.S. in Computer Science from Peking University, where my research began under the supervision of Prof. Junfeng Hu.

My research focuses on machine learning and its applications on large-scale data, with an emphasis on structured and relational data like knowledge graphs and biomedical networks. I work on graph representation learning, machine learning systems and drug discovery. Besides, I also have a deep interest in computer vision and natural language processing, particularly in understanding how human and AI process information. See my CV for full details.

I believe that principles are more essential than solutions, and should come first in most cases. I also have a great fondness for elegant and efficient designs. These values motivated most of my works.

In my spare time, I enjoy photography a lot. I was a group leader and one of the management team at photography society in Peking University.

Quebec City, Quebec, Dec. 2018
Pittsburgh, Pennsylvania, July 2017
Mount Baiwang, Beijing, Nov. 2017
Mount Tai, Shandong, Aug. 2018
Mont Sutton, Quebec, Nov. 2018
Montreal, Quebec, Mar. 2019

Selected Publications

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
NeurIPS 2021 (Will be released soon)   Paper / OGB-LSC
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
WWW 2019 (4k+ downloads)   Paper / Website / Tutorial / Code