Chao Qian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Flow Estimation

Computing Systems

Top Venues

PerCom Workshops

PKDD/ECML Workshops (1)

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, 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, Lukas Einhaus, Gregor Schiele
ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems. SenSys (2022)
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)
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial). ACSOS-C (2021)
Christopher Cichiwskyj, Stephan Schmeißer, Chao Qian, Lukas Einhaus, Christopher Ringhofer, Gregor Schiele
Elastic AI: system support for adaptive machine learning in pervasive computing systems. CCF Trans. Pervasive Comput. Interact. 3 (3) (2021)
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs. PKDD/ECML Workshops (1) (2021)
Alwyn Burger, Chao Qian, Gregor Schiele, Domenik Helms
An Embedded CNN Implementation for On-Device ECG Analysis. PerCom Workshops (2020)
Christopher Cichiwskyj, Chao Qian, Gregor Schiele
Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform. IoT Streams/ITEM@PKDD/ECML (2020)