Yong Huang

Student at UC Irvine
yongh7{@ | at}uci.edu
[Google Scholar]

Research Interests

Selected Publications

Teaching Experience

Other Experience


Hi, this is Yong Huang and I am a 4th year PhD student in computer science at UC Irvine advised by Amir Rahmani and Nikil Dutt . I am broadly interested in healthcare related problems, particularly in quantifying treatment effect.

Research Interests

  • Reinforcement Learning
  • Policy Evaluation
  • Causal Inference
  • Sepsis and ICU management
  • Selected Publications

    A distinct symptom pattern emerges for COVID-19 Long-Haul: A nationwide study
    Charles A Downs, Melissa D Pinto, Yong Huang, Survivor Corps, Sarach A El-Azab, Nathan S Ramrakhiani, Anthony Barisano, Lu Yu, Kaityln Taylor, Alvaro Esperancas, Heather Abrahim, Thomas D Hughes, Maria Giraldo Herrera, Amir Rahmani, Nikil Dutt, Rana Chakraborty, Christian Mendiola, Natalie J Lambert
    2022 Nature Scientific Reports

    Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution
    Yong Huang, Rui Cao, Amir M. Rahmani
    2022 Machine Learning for Healthcare Conference (MLHC)

    COVID symptoms, symptom clusters, and predictors for becoming a long-hauler: looking for clarity in the haze of the pandemic
    Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M Rahmani, Charles A Downs.
    2022 Clinical Nursing Research

    Interactive attention networks for semantic text matching
    Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang.
    2020 IEEE International Conference on Data Mining (ICDM)
    [paper] [code]

    Teaching Experience

  • Teaching assistant for CompSci 171 (Intro to AI), Fall 2023 at UCI
  • Teaching assistant for ICS 6D (Discrete Math), Fall 2022 at UCI
  • Teaching assistant for CompSci 121 (Information Retrieval), Winter 2022 and Winter 2023 at UCI
  • Other Experience

    I interned at Goldman Sachs as a quantitative strategist in summer 2023.