Sign in
Tianheng Ling
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 7
Top Topics
Energy Management
Pervasive Computing
Ai Community
Flow Estimation
Top Venues
CoRR
PerCom Workshops
ARCS
PKDD/ECML Workshops (1)
</>
Publications
</>
Chao Qian
,
Tianheng Ling
,
Gregor Schiele
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing.
PerCom Workshops
(2023)
Chao Qian
,
Tianheng Ling
,
Gregor Schiele
Energy Efficient LSTM Accelerators for Embedded FPGAs Through Parameterised Architecture Design.
ARCS
(2023)
Chao Qian
,
Tianheng Ling
,
Gregor Schiele
Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.
CoRR
(2023)
Tianheng Ling
,
Gregor Schiele
On-Device AI: Quantization-Aware Training of Transformers in Time-Series.
PerCom Workshops
(2023)
Tianheng Ling
,
Chao Qian
,
Lukas Einhaus
,
Gregor Schiele
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs.
CoRR
(2023)
Tianheng Ling
,
Chao Qian
,
Gregor Schiele
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data.
CoRR
(2023)
Chao Qian
,
Tianheng Ling
,
Gregor Schiele
Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.
PKDD/ECML Workshops (1)
(2022)