Student at UC Irvine
yongh7{@ | at}uci.edu
[Google Scholar]
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.
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
[paper]
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution
Yong Huang, Rui Cao, Amir M. Rahmani
2022 Machine Learning for Healthcare Conference (MLHC)
[paper]
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
[paper]
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]
I interned at Goldman Sachs as a quantitative strategist in summer 2023.