Guojun Zhang

Guojun Zhang


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I am a senior researcher and the tech lead for federated learning at Huawei Noah Ark's Lab in Montréal. I obtained my Ph.D [thesis] from the David R. Cheriton School of Computer Science at the University of Waterloo, also as a student affiliate of the Vector Institute. My PhD supervisors were Prof. Pascal Poupart and Prof. Yaoliang Yu. My current research focus is on federated learning and representation learning. I obtained my master from the Perimeter Institute, and I was fortunate to work with Prof. Freddy Cachazo on theoretical physics.

Research Interests: foundation models, transfer learning, federated learning, minimax optimization

I am always aiming for elegant formulations to understand real problems. As A. Einstein once said, "Everything should be made as simple as possible, but no simpler." Simplicity is the greatest beauty.

Hiring: If you are interested in internship or a full-time position on federated learning and/or transfer learning at Huawei Noah's Ark Lab Montréal, send your resume to my Huawei email.

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Selected Publications

Academic Services

Session Chair: ICML 2022
Area Chair: AISTATS 2023-2024

PC Member: IJCAI
Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS, CoRL, AAAI
Program Committee: FL-IJCAI 2022
Journal Reviewer: Journal of Scientific Computing, TMLR, ACM Transactions on Intelligent Systems and Technology
Workshop Reviewer: SyntheticData4ML Workshop NeurIPS 2022.


I like writing poems, reading, working out and traveling. I enjoy exploring different cultures. For example, I like visiting ancient churches all over the world. Japanese culture is also one of my favorites. Life is like sakura, short with beauty.

Some good references:
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Guojun Zhang
7101 Avenue du Parc, Montréal, QC, Canada