Wen (Wendy) Ye

Publication

• TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu.
  The Twelfth International Conference on Learning Representations (ICLR 2024)
• Region2vec: Community detection on spatial networks using graph embedding with node attributes and spatial interactions. Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao.
  Proceedings of the 30th International Conference on Advances in Geographic Information Systems
• Understanding the spatiotemporal heterogeneities in the associations between COVID-19 infections and both human mobility and close contacts in the United States Wen Ye, Song Gao.
  Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology

Education

Awards

• USC Annenberg Fellowship 2023
• Student Research Paper Competition (SRC) Second Place at ACM SIGSPATIAL 2022
• Best Paper Award from ACM SIGSPATIAL Spatial Epidemiology Workshop 2022
• Hilldale Undergraduate/Faculty Research Fellowship (2022-2023): Understanding spatial inequality to healthcare access in Wisconsin through deep learning-based network analysis
• MinneAnalytics Scholarship 2021
• Dean’s List

Work Experiences

• Modified the Non-Maximum Suppression Algorithm to update boundaries of regional tiles to prevent overlap which makes the downstream task of scoring trips within regions easier
• Investigated the data quality issue regarding trip duplication and created a scrip to flag trips that are duplicate by trip id (duplicate trips by collection) or by geolocation-trail and timestamp (semantically duplicate trips)

• Set up a data pipeline and built enriched trip dataset with urban/rural features using Sedona and Spark
• Designed and implemented an algorithm to detect user relocation by examining their trips, determining change in dwelling locations, and peaks in their traveling distances

• Held weekly office hours to help students debug and led discussion sessions to go over quiz materials
• Designed and modified existing projects to be more challenging