Danru Xu 🐼
Danru Xu 徐丹茹

PhD student

About Me

Hi! I am a PhD student in the INDE lab at the University of Amsterdam (UvA) from 2023, supervised by Prof. Paul Groth and A/Prof. Sara Magliacane. My research mainly focuses on causality, causal representation learning, and multimodal data fusion.

Before starting my Ph.D., I obtained my master’s degree from the University of Melbourne with a thesis on DAG learning (supervised by A/Prof. Mingming Gong), and my bachelor’s degree from Chongqing University. I also joined an undergraduate exchange program at the National Taiwan University and a study abroad program at the University of Queensland, both are in the department of mathematics.

  • Causal Representation Learning
  • MSc in Mathematics and Statistics

    The University of Melbourne

  • BSc in Mathematics and Statistics

    Chongqing University

Featured Publications
Recent Publications
(2024). A sparsity principle for partially observable causal representation learning. In ICML 2024.
(2024). Multi-view causal representation learning with partial observability. In ICLR 2024 (Spotlight).
(2022). On the Sparse DAG Structure Learning Based on Adaptive Lasso. arXiv preprint arXiv:2209.02946.