Wu Shiling from OECE Published a Paper in SCI

Recently, Wu Shiling, a student of class of 2018，who majors in computer science and technology from School of Optical-Electrical and Computer Engineering published a paper titled “Pre-SMATS: a Multi-task Learning Based Prediction Model for Small Multi-stage Seasonal Time Series” in an international authoritative academic paper: EXPERT SYSTEMS WITH APPLICATIONS (IF：6.954, SCI AreaⅠ). Professor Peng Dunlu was the corresponding author. Wu has joined in the project team, guided by her supervisor Peng Dunlu, and with her own efforts, she improved a lot in manual dexterity, innovation abilities, literature reading, and handwriting. Now she has been admitted into Shenzhen University for computer science and technology and then continues to study for a master’s degree.
Learning on time series, especially on the small seasonal time series, has a wide range of practical applications such as metallurgy, integrated circuit manufacturing and traffic flow prediction. Considering that many seasonal time series have implied stage characteristics, we propose Pre-SMATS, a multi-task learning based prediction model for small multi-stage seasonal time series. In order to verify our proposed model, Pre-SMATS, we conducted extensive experiments on two datasets with small time series, one is Chinese civil aviation passenger traffic (CCAPT) (2013–2019), a multi-stage seasonal time series and the other is IC board production furnace temperature curve (FTC), a general multi-stage time series.