Yang Yang

Yang Yang

杨扬

Doctoral Researcher

University of Helsinki

Biography

Hi there 👋, I am a PhD student at the University of Helsinki 🇫🇮 under the supervision of Luigi Acerbi and Samuel Kaski. My research is funded by the Finnish Doctoral Program Network in Artificial Intelligence and focuses on probabilistic machine learning and amortized inference.

Previously, I obtained my Master’s degree from the Eindhoven University of Technology (TU/e) 🇳🇱 and my Bachelor’s degree from Nankai University 🇨🇳, both in computer science.

Interests
  • Probabilistic Machine Learning
  • Amortized Inference
  • Deep Learning
  • Generative Modeling
Education

  • Ph.D. in Computer Science

    University of Helsinki, Finland

    Sep 2024 – Present

  • M.S. in Computer Science

    TU Eindhoven, The Netherlands

    Sep 2020 – Nov 2022

  • B.E. in Computer Science

    Nankai University, China

    Sep 2016 – Jul 2020

Publications

Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi. PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference. ICLR 2026.
Project Paper arXiv Code Cite
Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi. Efficient Autoregressive Inference for Transformer Probabilistic Models. ICLR 2026.
Paper arXiv Code Cite
Vu-Linh Nguyen, Yang Yang, Cassio De Campos. Probabilistic Multi-Dimensional Classification. UAI 2023.
Paper arXiv Code Cite
Yang Yang, Gennaro Gala, Robert Peharz. Bayesian Structure Scores for Probabilistic Circuits. AISTATS 2023.
Paper arXiv Code Cite
See all publications

Contact

  • yangyang DOT mind AT gmail.com