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07/19/2023
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Quantum computing presents a promising approach for machine learning wit...
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04/23/2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
Security has always been a critical issue in machine learning (ML) appli...
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03/15/2023
VENUS: A Geometrical Representation for Quantum State Visualization
Visualizations have played a crucial role in helping quantum computing u...
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08/24/2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
In dermatological disease diagnosis, the private data collected by mobil...
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08/07/2022
Distributed Contrastive Learning for Medical Image Segmentation
Supervised deep learning needs a large amount of labeled data to achieve...
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07/04/2022
Quantum Neural Network Compression
Model compression, such as pruning and quantization, has been widely app...
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04/23/2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation
Supervised deep learning needs a large amount of labeled data to achieve...
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02/14/2022
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation
Contrastive learning (CL), a self-supervised learning approach, can effe...
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02/14/2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Deep learning models have been deployed in an increasing number of edge ...
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11/21/2021
Distributed Unsupervised Visual Representation Learning with Fused Features
Federated learning (FL) enables distributed clients to learn a shared mo...
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09/13/2021
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
Molecular similarity search has been widely used in drug discovery to id...
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09/08/2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
With the constant increase of the number of quantum bits (qubits) in the...
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09/08/2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
In the noisy intermediate-scale quantum (NISQ) era, one of the key quest...
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06/07/2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
After a model is deployed on edge devices, it is desirable for these dev...
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08/18/2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
Life-threatening ventricular arrhythmias (VA) are the leading cause of s...
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07/07/2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
This work aims to enable on-device training of convolutional neural netw...
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06/06/2019