Tianheng Ling

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Flow Estimation

Event Detection

Top Venues

PerCom Workshops

J. Syst. Archit.

Publications

Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization. CoRR (2024)
Chao Qian, Tianheng Ling, Gregor Schiele
Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs. J. Syst. Archit. 152 (2024)
Tianheng Ling, Chao Qian, Gregor Schiele
Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation. CoRR (2024)
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 (2024)
Tianheng Ling, Chao Qian, Gregor Schiele
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT. CoRR (2024)
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)
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 (2024)
Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization. PerCom Workshops (2024)
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)