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2020 – today
- 2024
[j1]Chao Qian
, Tianheng Ling, Gregor Schiele:
Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs. J. Syst. Archit. 152: 103181 (2024)- [c6]Chao Qian, Christopher Cichiwskyj, Tianheng Ling, Gregor Schiele:
Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity. ARCS 2024: 161-176 - [c5]Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele:
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization. PerCom Workshops 2024: 733-738 - [i11]Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele:
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization. CoRR abs/2403.01922 (2024) - [i10]Tianheng Ling, Chao Qian, Gregor Schiele:
Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation. CoRR abs/2407.05102 (2024) - [i9]Tianheng Ling, Chao Qian, Gregor Schiele:
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT. CoRR abs/2407.11041 (2024) - [i8]Tianheng Ling, Islam Mansour, Chao Qian, Gregor Schiele:
An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware. CoRR abs/2407.11042 (2024) - [i7]Chao Qian, Christopher Cichiwskyj, Tianheng Ling, Gregor Schiele:
Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity. CoRR abs/2407.12027 (2024) - [i6]Vipin Singh, Tianheng Ling, Teodor Chiaburu, Felix Biessmann:
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation. CoRR abs/2408.11619 (2024) - [i5]Tianheng Ling, Gregor Schiele:
On-device AI: Quantization-aware Training of Transformers in Time-Series. CoRR abs/2408.16495 (2024) - [i4]Chao Qian, Tianheng Ling, Gregor Schiele:
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing. CoRR abs/2409.09044 (2024) - 2023
- [c4]Chao Qian, Tianheng Ling, Gregor Schiele:
Energy Efficient LSTM Accelerators for Embedded FPGAs Through Parameterised Architecture Design. ARCS 2023: 3-17 - [c3]Tianheng Ling, Gregor Schiele:
On-Device AI: Quantization-Aware Training of Transformers in Time-Series. PerCom Workshops 2023: 235-236 - [c2]Chao Qian, Tianheng Ling, Gregor Schiele:
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing. PerCom Workshops 2023: 297-299 - [i3]Tianheng Ling, Chao Qian, Lukas Einhaus, Gregor Schiele:
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs. CoRR abs/2310.02654 (2023) - [i2]Chao Qian, Tianheng Ling, Gregor Schiele:
Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs. CoRR abs/2310.16842 (2023) - [i1]Tianheng Ling, Chao Qian, Gregor Schiele:
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data. CoRR abs/2311.15036 (2023) - 2022
- [c1]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: 594-605
Coauthor Index
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