Blog

Tianheng Ling

Quantised Transformer Models for Time Series Analysis

Bio:

Tianheng Ling, M.Sc., is a researcher and PhD student at the Department of Embedded Systems of Computer Science at the University of Duisburg-Essen since november 2022. After receiving her bachelor’s degree in Information Management and Information Systems, she studied Applied Cognitive and Media Science with a focus on Artificial Intelligence of Computer Science at the University of Duisburg-Essen. Her master thesis dealt with quantized neural networks for the prediction of time-series data. Currently, she is involved in the RIWWER project. The main goal of this project is to reduce the environmental impact of untreated wastewater during rainfall. Her responsibility in the project is the optimisation and compression of algorithms and models for the embedded systems used.

Description of the Talk:

In the talk, she will introduce the current research results about quantisation on time series Transformer model for resource-constraint embedded FPGAs.