Chao Qian

According to our database, Chao Qian authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs.

Chao Qian, Tianheng Ling, Gregor Schiele

J. Syst. Archit., 2024

Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs.

Tianheng Ling, Chao Qian, Gregor Schiele

CoRR, 2024

An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware.

Tianheng Ling, Islam Mansour, Chao Qian, Gregor Schiele

CoRR, 2024

Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT.

Tianheng Ling, Chao Qian, Gregor Schiele

CoRR, 2024

Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation.

Tianheng Ling, Chao Qian, Gregor Schiele

CoRR, 2024

FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization.

Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity.

Chao Qian, Christopher Cichiwskyj, Tianheng Ling, Gregor Schiele

Proceedings of the Architecture of Computing Systems - 37th International Conference, 2024

2023

On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data.

Tianheng Ling, Chao Qian, Gregor Schiele

CoRR, 2023

A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs.

Tianheng Ling, Chao Qian, Lukas Einhaus, Gregor Schiele

CoRR, 2023

ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing.

Chao Qian, Tianheng Ling, Gregor Schiele

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Energy Efficient LSTM Accelerators for Embedded FPGAs Through Parameterised Architecture Design.

Chao Qian, Tianheng Ling, Gregor Schiele

Proceedings of the Architecture of Computing Systems - 36th International Conference, 2023

2022

ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems.

Chao Qian, Lukas Einhaus, Gregor Schiele

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.

Chao Qian, Tianheng Ling, Gregor Schiele

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021

Elastic AI: system support for adaptive machine learning in pervasive computing systems.

Christopher Cichiwskyj, Stephan Schmeißer, Chao Qian, Lukas Einhaus, Christopher Ringhofer, Gregor Schiele

CCF Trans. Pervasive Comput. Interact., 2021

Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs.

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial).

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform.

Christopher Cichiwskyj, Chao Qian, Gregor Schiele

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

An Embedded CNN Implementation for On-Device ECG Analysis.

Alwyn Burger, Chao Qian, Gregor Schiele, Domenik Helms

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020