Shuo Yang obtained her PhD degree from Indiana University-Bloomington in 2017. Her PhD research was conducted under the guidance of Prof. Sriraam Natarajan and mainly focuses on machine learning and its application to medical domains, including statistical relational learning, knowledge-based learning, cost-sensitive learning, SRL for sequential events prediction and SRL in hybrid domains. Her PhD thesis is titled “Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data”.
PhD in Health Informatics, 2017
MEng in Biomedical Engineering, 2013
Wake Forest School of Medicine
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reviewer for Journal Knowledge-Based Systems 1
reviewer for Journal Data Mining and Knowledge Discovery
reviewer for Journal of Artificial Intelligence Research
PC member of ICLR 2020
PC member of IJCAI 2020, 2019, 2018
PC member of AAAI 2020
PC member of SDM 2020
reviewer for NIPS 2016
subreviewer for LOD 2018, AAAI 2016, AISTATS 2016, UAI 2015, ICDM 2015, KDD 2014