Scholar
Kun Zhang
Google Scholar ID: RGoypN4AAAAJ
Carnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Citations & Impact
Citations
24,017
H-index
68
i10-index
266
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- See the Research page for a summary of some of their recent work on causal discovery and machine learning (especially transfer learning).
Research Experience
- He is a professor in the philosophy department and an affiliate faculty member in the machine learning department at Carnegie Mellon University. He works in the Causal Learning and Reasoning (CLeaR) research group, together with Clark Glymour, Peter Spirtes, Joseph Ramsey, and their students, postdocs, and visitors. He also works in the causality group and the Center for Integrative AI (CIAI) at MBZUAI.
Background
- His research interests lie in machine learning and artificial intelligence, especially in causal discovery, causal representation learning, and causality-based learning, aiming to make hidden entities and causal processes transparent for the purpose of automated scientific discovery, optimal decision making, etc. He develops methods for automated causal discovery and causal representation learning from various kinds of data, investigates learning problems including transfer learning, concept 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.
Miscellany
- Contact:
- - Email: kunz1(at)cmu.edu
- - Phone: +1(412)268-8573
- - Address: Baker Hall 161B, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213
Co-authors