10 citations · 33 across the 7 of their papers we have counts for
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cs.AR2024★ 10 cited
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing
Chao Qian, Tianheng Ling, Gregor Schiele
Deploying Deep Learning (DL) on embedded end devices is a scorching trend in pervasive computing. Since most Microcontrollers on embedded devices have limited computing power, it i…
cs.LG2024★ 1 cited
On-device AI: Quantization-aware Training of Transformers in Time-Series
Tianheng Ling, Gregor Schiele
Artificial Intelligence (AI) models for time-series in pervasive computing keep getting larger and more complicated. The Transformer model is by far the most compelling of these AI…
cs.LG2024★ 5 cited
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization
Tianheng Ling, Julian Hoever, Chao Qian +1
In industrial and environmental monitoring, achieving real-time and precise fluid flow measurement remains a critical challenge. This study applies linear quantization in FPGA-base…