Wendong Liang
publishes under Liang Wendong.
I am a PhD student in the Empirical Inference department at Max Planck Institute for Intelligent Systems, under the supervision of Prof. Bernhard Schölkopf. I am interested in the alignment and interpretability in machine learning.
I hold an MSc in Mathematics from ENS Paris-Saclay, where I also earned my BSc. During my studies, I interned at the Innsbruck University, working on categorical probability and completed my master’s thesis at Max Planck Institute for Intelligent Systems. In addition, I hold a BA in French Language and Western Philosophy from Nankai University.
news
Our paper Algorithmic causal structure emerging through compression was accepted at CLeaR 2025 (oral presentation).
Our papers Causal Component Analysis and Nonparametric Identifiability of Causal Representations from Unknown Interventions were accepted at NeurIPS 2023.
I started my PhD at Empirical Inference Department at Max Planck Institute for Intelligent Systems.
Our work on Free gs-Monoidal Categories and Free Markov Categories was accepted at Applied Categorical Structures.
I joined Max Planck Institute for Intelligent Systems as an intern.