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 Probabilistic Reasoning, Causality, Knowledge Representation & Reasoning, and Machine Learning in general. Previously, I focused on leveraging human knowledge to improve the computational efficiency and robustness of Bayesian networks in inference and learning.

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

      
  • Identifying Causal Effects Under Functional Dependencies Yizuo Chen and Adnan Darwiche In 38th Conference on Neural Information Processing Systems (NeurIPS), 2024
  • Towards an Effective Practice of Learning From Data and Knowledge [pdf] [bib] Yizuo Chen and Haiying Huang and Adnan Darwiche International Journal of Approximate Reasoning (IJAR), Volume 171, 2024
  • Tractable Bounding of Counterfactual Queries by Knowledge Compilation [pdf] [bib] David Huber and Yizuo Chen and Alessandro Antonucci and Adnan Darwiche and Marco Zaffalon In 6th Workshop on Tractable Probabilistic Modeling (TPM), 2023
  • On the Complexity of Counterfactual Reasoning [pdf] [bib] Yunqiu Han and Yizuo Chen and 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 and Adnan Darwiche In 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
  • Supervised Learning with Background Knowledge [pdf] [bib] Yizuo Chen and Arthur Choi and 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
          
        

    Experience

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