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07/22/2023
MIMONet: Multi-Input Multi-Output On-Device Deep Learning
Future intelligent robots are expected to process multiple inputs simult...
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06/12/2023
Localised Adaptive Spatial-Temporal Graph Neural Network
Spatial-temporal graph models are prevailing for abstracting and modelli...
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05/22/2023
Representing Input Transformations by Low-Dimensional Parameter Subspaces
Deep models lack robustness to simple input transformations such as rota...
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06/25/2022
p-Meta: Towards On-device Deep Model Adaptation
Data collected by IoT devices are often private and have a large diversi...
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02/22/2022
Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis
Analyzing long time series with RNNs often suffers from infeasible train...
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08/05/2021
Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems
Sensing systems powered by energy harvesting have traditionally been des...
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07/19/2021
Using system context information to complement weakly labeled data
Real-world datasets collected with sensor networks often contain incompl...
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04/21/2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
With the surge of inexpensive computational and memory resources, neural...
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10/18/2020
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges
Smart manufacturing aims to overcome the limitations of today's rigid as...
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07/06/2020
Deep Partial Updating
Emerging edge intelligence applications require the server to continuous...
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02/18/2020
The Time-Triggered Wireless Architecture
Wirelessly interconnected sensors, actuators, and controllers promise gr...
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12/18/2019
Adaptive Loss-aware Quantization for Multi-bit Networks
We investigate the compression of deep neural networks by quantizing the...
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09/19/2019
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees
Closing feedback loops fast and over long distances is key to emerging c...
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06/13/2019
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems
This abstract describes the first public demonstration of feedback contr...
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05/23/2019
Disentangling Redundancy for Multi-Task Pruning
Can prior network pruning strategies eliminate redundancy in multiple co...
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10/22/2018
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
In natural hazard warning systems fast decision making is vital to avoid...
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05/24/2018
Multi-Task Zipping via Layer-wise Neuron Sharing
Future mobile devices are anticipated to perceive, understand and react ...
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04/24/2018
Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks
Closing feedback loops fast and over long distances is key to emerging a...
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12/11/2017
Unsupervised Feature Learning for Audio Analysis
Identifying acoustic events from a continuously streaming audio source i...
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11/15/2017
TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]
Wired field buses have proved their effectiveness to support Cyber-Physi...
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09/28/2017
Efficient Convolutional Neural Network For Audio Event Detection
Wireless distributed systems as used in sensor networks, Internet-of-Thi...
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08/20/2014
EURETILE D7.3 - Dynamic DAL benchmark coding, measurements on MPI version of DPSNN-STDP (distributed plastic spiking neural net) and improvements to other DAL codes
The EURETILE project required the selection and coding of a set of dedic...
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05/07/2013