Yao-Yi Chiang

Yao-Yi Chiang
Associate Professor, Department of Computer Science & EngineeringContact
Kenneth H. Keller Hall Room 5-191 200 Union Street SeMinneapolis, MN 55455
Education
Ph.D. in Computer Science, University of Southern California (2010)
M.A. in Computer Science, University of Southern California (2004)
B.B.A. in Information Management, National Taiwan University (2000)
Professional Background
Yao-Yi Chiang joined the Department of Computer Science & Engineering in 2021 as an associate professor. He received his M.S. (2004) and Ph.D. (2010) degrees in computer science from the University of Southern California. Chiang also currently serves as an Associate Editor for the Journal of Information Science and Engineering and as an Editorial Board Member for Transactions in Geographic Information Systems. Prior to joining the University, he served as a senior software engineer for Fetch Technologies and Geosemble Technologies, a visiting researcher for Google AI, and as a machine learning consultant for Facebook.
Chiang’s research lies at the intersection of computer science and spatial sciences. He builds algorithms and intelligent systems for discovering, collecting, fusing, and analyzing data from heterogeneous sources to solve real-world problems. Recently, the work has focused on developing machine learning frameworks that exploit unique spatial data properties and prior structural knowledge to tackle problems in natural language processing, computer vision, and spatiotemporal data prediction and forecasting.
Research Division
Data Science and Machine Learning
Current Research
Google Scholar
Knowledge Computing Lab
Ph.D. Graduates
Lois Park (2022, University of Southern California); Johanna Avelar Portillo (2021, University of Southern California).
Honors and Awards
Selected Grants
Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD): Genomic Study
Chiang, Y.; University of Southern California; 9/1/22 - 8/31/23
Text Spotting from Multi-source, Multi-lingual Scanned Maps
Chiang, Y.; David and Abby Rumsey; 2022-2023
All-Scale Trajectory Clustering for Moving Behavior Detection with Spatiotemporal Recurrent Convolutional Neural Networks National Geospatial-Intelligence Agency (NGA)
Shahabi, C., Chiang, Y.; University of Southern California; 2021-2023