[CV] (updated in Aug. 2021)
I received my Ph.D. in Computer Science from University of California, Los Angeles (UCLA). I was advised by Prof. Wei Wang. My research interests focus on natural language processing and text mining. I joined Google Research Juicer team after graduation. Currently, I am working on low-resource information extraction and semi-supervised learning problems.
E-mail: yichao [DOT] joey [DOT] zhou [AT] gmail [DOT] com
WHAT’S NEW ~~~~~~~~
[2021.10] Our research paper “Learning Transferable Node Representations for Attribute Extraction from Web Documents” was accepted by WSDM 2022! See you in Arizona!
[2021.09] Our journal paper “COVID-19 Surveiller: Toward a Robust and Effective Pandemic Surveillance System based on Social Media Mining” was accepted by Philosophical Transactions A and will be publised this November for issue: Data Science Approach to Infectious Diseases Surveillance.
[2021.08] Our research long paper #StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs (paper) was accepted by CIKM 2021! See you in the online conference! Our online demo system will be on soon.
[2021.07] I defended my Ph.D. dissertation and graduated from UCLA!
[2020.12] Our research long paper “Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference” was accepted by AAAI 2021!
[2020.10] Serve as PC member of KDD 2020, AAAI 2021, ACL 2021 and Publication Chair at NAACL 2021.