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M. Sc. Tianheng Ling

Informatik / AI

Anschrift
Bismarckstr. 81 (BC)
47057 Duisburg
Raum
BC 106
Telefon
+49 203 379 2864
Telefax
+49 203 379 5220
E-Mail
tianheng.ling@uni-due.de

Funktionen

  • Wissenschaftliche/r Mitarbeiter/in, Intelligente Eingebettete Systeme

Aktuelle Veranstaltungen

Keine aktuellen Veranstaltungen.

Vergangene Veranstaltungen (max. 10)

Keine vergangenen Veranstaltungen.

Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.

    Artikel in Zeitschriften

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

    • Beiträge in Sammelwerken und Tagungsbänden

  • 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 Volltext: 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 (Hrsg.) 2024, S. 161 - 176
    Online Volltext: 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 (Hrsg.) 2024, S. 38 - 44
    Online Volltext: 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. (Hrsg.) 2024, S. 529 - 537
    Online Volltext: 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 (Hrsg.) 2024, S. 248 - 249
    Online Volltext: 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, S. 297 - 299
    Online Volltext: 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 (Hrsg.) 2023, S. 594 - 605
    Online Volltext: 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, S. 235 - 236
    Online Volltext: dx.doi.org/