Portrait photo of Tianheng Ling

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.

Address
Bismarckstr. 81 (BC)
47057 Duisburg
Room
BC 106

Functions

  • 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.

    Book articles / Proceedings papers

  • Qian, Chao; Ling, Tianheng; Schiele, Gregor
    ElasticAI : Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing
    In: 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 - 299
  • Qian, Chao; Ling, Tianheng; Schiele, Gregor
    Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs
    In: 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 - 605
  • Ling, Tianheng; Schiele, Gregor
    On-Device AI : Quantization-Aware Training of Transformers in Time-Series
    In: 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 - 236