Tianheng Ling, M.Sc.
Short CV
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.
Research
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.
47057 Duisburg
Functions
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Wissenschaftliche/r Mitarbeiter/in, Eingebettete Systeme der Informatik
Current lectures
No current lectures.
Past lectures (max. 10)
No past lectures.
The following publications are listed in the online university bibliography of the University of Duisburg-Essen. Further information may also be found on the person's personal web pages.
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ElasticAI : Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive ComputingIn: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) / PerCom 2023, 13-17 March 2023, Atlanta, GA, USA 2023, pp. 297 - 299Online Full Text: dx.doi.org/
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Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAsIn: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I / International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022 / Koprinska, Irena; Mignone, Paolo; Guidotti, Riccardo (Eds.) 2023, pp. 594 - 605Online Full Text: dx.doi.org/
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On-Device AI : Quantization-Aware Training of Transformers in Time-SeriesIn: Proceedings of the 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops 2023) / International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops); 13-17 March 2023; Atlanta, USA 2023, pp. 235 - 236Online Full Text: dx.doi.org/