معرفی
Peng Cui is a Professor at Tsinghua University's Department of Computer Science and Technology, affiliated with BNRist and the THU-Bosch Joint Machine Learning Center in Beijing. His research focuses on machine learning, graph neural networks, causal inference, and network analysis, with applications in recommendation systems and social networks.
- PhD from Tsinghua University (2010)
- Key contributor to graph representation learning and stable machine learning frameworks.
Research interests span: causal discovery, graph algorithms, adversarial machine learning, and domain generalization. His work bridges theory and practice in AI, emphasizing robustness and generalization across diverse domains.
Recent articles explore adaptive recommendation models, causal emergence, and generalizable graph neural networks. Notable contributions include frameworks for stable learning under distribution shifts and robust graph embedding techniques.
Recipient of international recognition for contributions to data science and AI, though specific awards are not listed here.
Advises on interdisciplinary projects and collaborates with Bosch Research through the joint ML center. Active in conference organizing and editorial roles in top journals.
