I am a 3rd year PhD student in computer science at UC Irvine advised by Amir Rahmani and Nikil Dutt . I am interested in machine learning for healthcare, particularly in designing optimal treatment quantitatively.

I did my undergrad at Tongji University and got my bachelor's degree in 2018 and I completed my master at Cornell Tech in 2020.

Research Interests

  • Reinforcement Learning
  • Off Policy Evaluation
  • Causal Inference
  • Publications [Google Scholar]

    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)

    Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach
    Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay
    2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

    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]


    yongh7{@ | at}uci.edu