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About Kun Zhang

Dr. Kun Zhang is the Acting Department Chair and Visiting Professor in the Machine Learning Department and Director of the Center for Integrative Artificial Intelligence (CIAI) at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI).


Dr. Kun Zhang joined MBZUAI as a Visiting Associate Professor in the Machine Learning Department (he is currently on leave from Carnegie Mellon University, where he is an associate professor).  His research interests lie in machine learning and artificial intelligence, especially in causal discovery and causality-based learning. He develops methods for automated causal discovery or causal representation learning from various kinds of data, investigates learning problems including transfer learning, representation learning, and deep learning from a causal view, and studies philosophical foundations of causation and various machine learning tasks. On the application side, he is interested in neuroscience, computer vision, computational finance, and climate analysis.


Present Associate Professor, Mohamed bin Zayed University of Artificial Intelligence Department of Machine Learning

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Honors and Awards

  • Co-authored a best paper finalist paper at CVPR 2019.
  • Co-authored best student paper at UAI 2010.
  • Best benchmark award of the causality challenge 2008.
  • Test of Time Award Honorable Mention at ICML 2022
  • Best Paper Award of the workshop on New Frontiers in Adversarial Machine Learning (AdvML 2022) at ICML 2022
  • General and program chair of the 1st Conference on Causal Learning and Reasoning (CleaR 2022)
  • Program chair of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)

Conference Proceedings (3)

Journal article (3)

Preprints (11)