Yizuo (Ronny) Chen




Email: yizuo dot chen at ucla dot edu

2021-Curr    Ph.D. student in CS, UCLA
2018-21       B.S. in CS, Minor in Math, UCLA
2015-18       Pittsford Sutherland H.S.

I am a Computer Science Ph.D. student at University of California, Los Angeles (UCLA). I am fortunate to be advised by Professor Adnan Darwiche.

My research interests include Causality, Probabilistic Reasoning, Logical Reasoning, and Machine Learning. My work focuses on leveraging knowledge to enhance the identifiability and computational efficiency of causal queries.

I completed my undergraduate at UCLA with a major in Computer Science and a minor in Mathematics. I have been a member of Automated Reasoning Group.

In my free time, I enjoy playing the bassoon, saxophone, table tennis, and tennis.




Publications

      
  • Constrained Identifiability of Causal Effects [pdf] Yizuo Chen, Adnan Darwiche AAAI Workshop on Artificial Intelligence with Causal Techniques, 2025
  • Modeling and Discovering Direct Causes for Predictive Models [pdf] Yizuo Chen, Amit Bhatia AAAI Workshop on Artificial Intelligence with Causal Techniques, 2025
  • Identifying Causal Effects Under Functional Dependencies [pdf] [bib] Yizuo Chen, Adnan Darwiche In 38th Conference on Neural Information Processing Systems (NeurIPS), 2024 (Spotlight)
  • Towards an Effective Practice of Learning From Data and Knowledge [pdf] [bib] Yizuo Chen, Haiying Huang, Adnan Darwiche International Journal of Approximate Reasoning (IJAR), Volume 171, 2024
  • Tractable Bounding of Counterfactual Queries by Knowledge Compilation [pdf] [bib] David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon In 6th Workshop on Tractable Probabilistic Modeling (TPM), 2023
  • On the Complexity of Counterfactual Reasoning [pdf] [bib] Yunqiu Han, Yizuo Chen, Adnan Darwiche In 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023
  • On the Definition and Computation of Causal Treewidth [pdf] [sup] [bib] Yizuo Chen, Adnan Darwiche In 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
  • Supervised Learning with Background Knowledge [pdf] [bib] Yizuo Chen, Arthur Choi, Adnan Darwiche In 10th International Conference on Probabilistic Graphical Models (PGM), 2020.

  • Teaching Assistant

          - CS264A (fall23, fall22, MSOL): Automated Reasoning: Theory and Application
          
          - CS161 (spr23, spr22): Fundamentals of Artificial Intelligence - examples
          
          - CS31,32 (sum22, sum23): Introduction to Computer Science I,II      
        

    Internship Experience

          - Intern, Knowledge Representation and Reasoning. Autodesk. Summer 2021.
          
          - TA, Los Angeles Computing Circle (LACC). Summer 2019.