10 citations · 33 across the 7 of their papers we have counts for
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3 papers · 1 filter
cs.AR2023★ 8 cited
Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs
Chao Qian, Tianheng Ling, Gregor Schiele
To process sensor data in the Internet of Things(IoTs), embedded deep learning for 1-dimensional data is an important technique. In the past, CNNs were frequently used because they…
cs.LG2023★ 4 cited
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data
Tianheng Ling, Chao Qian, Gregor Schiele
Soft sensors are crucial in bridging autonomous systems' physical and digital realms, enhancing sensor fusion and perception. Instead of deploying soft sensors on the Cloud, this s…
cs.LG2023★ 1 cited
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs
Tianheng Ling, Chao Qian, Lukas Einhaus +1
This study explores the quantisation-aware training (QAT) on time series Transformer models. We propose a novel adaptive quantisation scheme that dynamically selects between symmet…