Kun Zhang is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science. Their research spans multiple subfields, notably artificial intelligence, computer vision and pattern recognition, management science and operations research, signal processing, and electrical and electronic engineering.
The scientist's publications cover a wide range of topics, including Bayesian modeling and causal inference, domain adaptation and few-shot learning, advanced graph neural networks, generative adversarial networks and image synthesis, anomaly detection techniques and applications, blind source separation techniques, and machine learning and data classification.
Kun Zhang has authored research articles published in high-profile venues such as:
Frequent publication venues for their work include:
Collaborations have been an important aspect of Kun Zhang's research activities. Frequent coauthors include Biwei Huang, Ruichu Cai, Guangyi Chen, Mingming Gong, and Ignavier Ng.
Kun Zhang's research output demonstrates engagement with computational approaches that integrate learning theory, causal inference, and practical applications in intelligent systems and fault diagnosis. The scientist's work contributes to advancing methodologies in areas intersecting machine learning, signal processing, and artificial intelligence.
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer
Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls
Clark Glymour;Kun Zhang;Peter Spirtes
Ya Li;Xinmei Tian;Mingming Gong;Yajing Liu
Min-Ling Zhang;Kun Zhang
Kun Zhang;Bernhard Schlkopf;Krikamol Muandet;Zhikun Wang
Kun Zhang;Jonas Peters;Dominik Janzing;Bernhard Schölkopf
Dominik Janzing;Jonas Peters;Eleni Sgouritsa;Kun Zhang
Aapo Hyvärinen;Kun Zhang;Shohei Shimizu;Patrik O. Hoyer
Kun Zhang;Aapo Hyvärinen
Peter Spirtes;Kun Zhang
Dominik Janzing;Joris Mooij;Kun Zhang;Jan Lemeire
Han Zhao;Remi Tachet des Combes;Kun Zhang;Geoffrey J. Gordon;Geoffrey J. Gordon
Mingming Gong;Kun Zhang;Tongliang Liu;Dacheng Tao
Huan Fu;Mingming Gong;Chaohui Wang;Kayhan Batmanghelich
Han Zhao;Remi Tachet des Combes;Kun Zhang;Geoffrey J. Gordon
Bernhard Schoelkopf;Dominik Janzing;Jonas Peters;Eleni Sgouritsa
Povilas Daniušis;Dominik Janzing;Joris Mooij;Jakob Zscheischler
Kun Zhang;Mingming Gong;Bernhard Scholkopf
Eric V. Strobl;Kun Zhang;Shyam Visweswaran
Kun Zhang;Jonas Peters;Dominik Janzing;Bernhard Schoelkopf
If you think any of the details on this page are incorrect, let us know.
Choosing to study Computer Science in the USA opens doors to a wide range of career pathways. In today's digital age, online learning options make it easier to find programs that fit your schedule and career goals. If you're looking to fast-track your education, exploring a fastest computer science degree can help you enter the workforce sooner.
For those interested in interdisciplinary careers, considering related fields can also be an excellent option. Studying for an environmental science degree can open up roles in sustainability, tech-driven environmental solutions, and policy development. Alternatively, the demand for technical expertise is growing in engineering fields such as mechanical and environmental engineering.
Cost is a key consideration for many students. If affordability is a top concern, you may want to look into the cheapest online environmental science degree or pursue an online mechanical engineering degree to find budget-friendly options that still offer excellent education and career prospects. These related online degrees broaden the scope of opportunities available in STEM and beyond.
ETH Zurich
University of California, Los Angeles
University of Michigan–Ann Arbor
University of Salamanca
University at Albany, State University of New York
The University of Texas Health Science Center at San Antonio
University of Iowa
University of Exeter
Nagoya University
University of Washington
University of Illinois at Chicago
University of Copenhagen
Lancaster University
University of Tromsø - The Arctic University of Norway
Centre national de la recherche scientifique, CNRS
James Cook University