Chao Qian

33 papers C 1Misc 1Journal 18Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management.
ISC2
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
2025 J jnl
Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management.
CoRR
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
2025 — conf
Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs.
ISVLSI
Tianheng Ling, Chao Qian, Lukas Johannes Haßler, Gregor Schiele
2025 J jnl
Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs.
CoRR
Tianheng Ling, Chao Qian, Lukas Johannes Haßler, Gregor Schiele
2025 J jnl
Configuration-aware approaches for enhancing energy efficiency in FPGA-based deep learning accelerators.
J. Syst. Archit.
Chao Qian, Tianheng Ling, Christopher Cichiwskyj, Gregor Schiele
2025 J jnl
Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks.
CoRR
Koki Shibata, Tianheng Ling, Chao Qian, Tomokazu Matsui, Hirohiko Suwa, Keiichi Yasumoto, Gregor Schiele
2025 — conf
Leveraging Application-Specific Knowledge for Energy-Efficient Deep Learning Accelerators on Resource-Constrained FPGAs.
ARCS
Chao Qian
2025 J jnl
Leveraging Application-Specific Knowledge for Energy-Efficient Deep Learning Accelerators on Resource-Constrained FPGAs.
CoRR
Chao Qian
2025 J jnl
StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs.
CoRR
Tianheng Ling, Chao Qian, Peter Zdankin, Torben Weis, Gregor Schiele
2024 J jnl
An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware.
CoRR
Tianheng Ling, Islam Mansour, Chao Qian, Gregor Schiele
2024 J jnl
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing.
CoRR
Chao Qian, Tianheng Ling, Gregor Schiele
2024 J jnl
Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs.
J. Syst. Archit.
Chao Qian, Tianheng Ling, Gregor Schiele
2024 — conf
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization.
PerCom Workshops
Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele
2024 J jnl
FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization.
CoRR
Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele
2024 — conf
Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity.
ARCS
Chao Qian, Christopher Cichiwskyj, Tianheng Ling, Gregor Schiele
2024 J jnl
Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity.
CoRR
Chao Qian, Christopher Cichiwskyj, Tianheng Ling, Gregor Schiele
2024 J jnl
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT.
CoRR
Tianheng Ling, Chao Qian, Gregor Schiele
2024 C conf
Resource-Aware Mixed-Precision Quantization for Enhancing Deployability of Transformers for Time-Series Forecasting on Embedded FPGAs.
MobiQuitous
Tianheng Ling, Chao Qian, Gregor Schiele
2024 J jnl
Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs.
CoRR
Tianheng Ling, Chao Qian, Gregor Schiele
2024 J jnl
Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation.
CoRR
Tianheng Ling, Chao Qian, Gregor Schiele
2023 J jnl
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs.
CoRR
Tianheng Ling, Chao Qian, Lukas Einhaus, Gregor Schiele
2023 — conf
ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing.
PerCom Workshops
Chao Qian, Tianheng Ling, Gregor Schiele
2023 — conf
Energy Efficient LSTM Accelerators for Embedded FPGAs Through Parameterised Architecture Design.
ARCS
Chao Qian, Tianheng Ling, Gregor Schiele
2023 J jnl
Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.
CoRR
Chao Qian, Tianheng Ling, Gregor Schiele
2023 — conf
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data.
MobiQuitous (2)
Tianheng Ling, Chao Qian, Gregor Schiele
2023 J jnl
On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data.
CoRR
Tianheng Ling, Chao Qian, Gregor Schiele
2022 Misc conf
ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems.
SenSys
Chao Qian, Lukas Einhaus, Gregor Schiele
2022 — conf
Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.
PKDD/ECML Workshops (1)
Chao Qian, Tianheng Ling, Gregor Schiele
2021 J jnl
Elastic AI: system support for adaptive machine learning in pervasive computing systems.
CCF Trans. Pervasive Comput. Interact.
Christopher Cichiwskyj, Stephan Schmeißer, Chao Qian, Lukas Einhaus, Christopher Ringhofer, Gregor Schiele
2021 — conf
In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial).
ACSOS-C
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
2021 — conf
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs.
PKDD/ECML Workshops (1)
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
2020 — conf
An Embedded CNN Implementation for On-Device ECG Analysis.
PerCom Workshops
Alwyn Burger, Chao Qian, Gregor Schiele, Domenik Helms
2020 — conf
Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform.
IoT Streams/ITEM@PKDD/ECML
Christopher Cichiwskyj, Chao Qian, Gregor Schiele