Hi, it's Zhaocheng.


I am a final-year Ph.D. candidate at Mila - Quebec AI Institute, University of Montreal, advised by Prof. Jian Tang. I am fortunate to take an internship at Google, under the guidance of Hanjun Dai and Yuan Xue. Prior to that, I obtained my B.S. in Computer Science from Peking University.

My research aims to develop models with better reasoning abilities and use them to power various applications in the broad range of artificial intelligence, including but not limited to knowledge graphs and natural languages. I have particular interest in zero-shot/few-shot generalization, graph representation learning, large language models and neural-symbolic methods. I also work on scalable algorithms and develop machine learning systems. 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.

Artworks

In my spare time, I enjoy photography a lot. Together with hiking, these hobbies drive me to explore the beauty of the land, as well as learn about myself and life.

Click the images to zoom in and browse more.

Selected Publications

Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
ICLR 2024   Paper / Code
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu*, Xinyu Yuan*, Mikhail Galkin, Sophie Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
NeurIPS 2023   Paper / Code
Large Language Models can Learn Rules
Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
arXiv 2023   Paper
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
ICML 2022   Paper / Code
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Cheng, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal Xhonneux, Meng Qu, Jian Tang
arXiv 2022 (47k+ downloads)   Paper / Website / Tutorial / Code
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
NeurIPS 2021
Paper / Code (original) / Code (new) / Code (PyG) / OGB-LSC
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
WWW 2019 (5k+ downloads)   Paper / Website / Tutorial / Code