Scholar
Haoyue Dai
Google Scholar ID: f4tCtoMAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
83
H-index
5
i10-index
4
Publications
17
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Selected publications include 'Latent Variable Causal Discovery under Selection Bias' at ICML 2025, 'When Selection Meets Intervention: Additional Complexities in Causal Discovery' at ICLR 2025, 'On Causal Discovery in the Presence of Deterministic Relations' at NeurIPS 2024, 'Score-Based Causal Discovery of Latent Variable Causal Models' at ICML 2024, 'Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View' at ICLR 2024, and 'Local Causal Discovery with Linear non-Gaussian Cyclic Models' at AISTATS 2024.
Research Experience
- Member of the CMU-CLeaR (Causal Learning and Reasoning) group.
Education
- PhD student at CMU Philosophy, advised by Prof. Kun Zhang and Prof. Peter Spirtes; Undergraduate in Computer Science (IEEE Class and Zhiyuan Program) at Shanghai Jiao Tong University, 2017–2021.
Background
- Research interests: causality, reliable discovery for/with latent variables, selection mechanisms, feedback cycles, and other relaxed assumptions; aims to develop methods for causal representation learning and causality-inspired explainability in machine learning; application side, solving real-world problems and assisting in scientific discoveries in domains of biology, education, social science, and more.
Miscellany
- Contact: hyda [AT] cmu.edu / Google Scholar / GitHub
