Tianheng Ling, M.Sc.

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.

M. Sc. Tianheng Ling

Informatik / AI

Address
Bismarckstr. 81 (BC)
47057 Duisburg
Room
BC 106
Phone
+49 203 379 2864
Fax
+49 203 379 5220
E-Mail
tianheng.ling@uni-due.de

Functions

  • Wissenschaftliche/r Mitarbeiter/in, Intelligente Eingebettete Systeme

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.

    Journal articles

  • Qian, Chao; Ling, Tianheng; Schiele, Gregor
    Exploring energy efficiency of LSTM accelerators : A parameterized architecture design for embedded FPGAs
    In: Journal of Systems Architecture Vol. 152 (2024) 103181
    Online Full Text: dx.doi.org/ (Open Access)

    • Book articles / Proceedings papers

  • Ling, Tianheng; Hoever, Julian; Qian, Chao; Schiele, Gregor
    FlowPrecision : Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization
    In: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) / IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 11-15 March 2024, Biarritz, France 2024
    Online Full Text: dx.doi.org/ (Open Access)
  • Qian, Chao; Cichiwskyj, Christopher; Ling, Tianheng; Schiele, Gregor
    Idle is the New Sleep : Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity
    In: Architecture of Computing Systems: Proceedings / 37th International Conference, ARCS 2024, Potsdam, Germany, May 14–16, 2024 / Fey, Dietmar; Stabernack, Benno; Lankes, Stefan (Eds.) 2024, pp. 161 - 176
    Online Full Text: dx.doi.org/
  • Ling, Tianheng; Qian, Chao; Schiele, Gregor
    Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT
    In: 2024 IEEE Annual Congress on Artificial Intelligence of Things (AIoT): Proceedings / IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), 24-26 July 2024, Melbourne / IEEE (Eds.) 2024, pp. 38 - 44
    Online Full Text: dx.doi.org/
  • Ling, Tianheng; Qian, Chao; Schiele, Gregor
    On-Device Soft Sensors : Real-Time Fluid Flow Estimation from Level Sensor Data
    In: Mobile and Ubiquitous Systems: Computing, Networking and Services; Proceedings, Part II / 20th EAI International Conference, MobiQuitous 2023, November 14–17, 2023, Melbourne, Australia / Zaslavsky, Arkady; Ning, Zhaolong; Kalogeraki, Vana; Georgakopoulos, Dimitrios; Chrysanthis, Panos K. (Eds.) 2024, pp. 529 - 537
    Online Full Text: dx.doi.org/
  • Ling, Tianheng; Qian, Chao; Schiele, Gregor
    Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation
    In: 2024 IEEE Annual Congress on Artificial Intelligence of Things (AIoT): Proceedings / IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), 24-26 July 2024, Melbourne / IEEE (Eds.) 2024, pp. 248 - 249
    Online Full Text: dx.doi.org/ (Open Access)
  • 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
    Online Full Text: dx.doi.org/
  • 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
    Online Full Text: dx.doi.org/
  • 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
    Online Full Text: dx.doi.org/