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06/23/2023
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
The emerging scale segmentation model, Segment Anything (SAM), exhibits ...
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05/09/2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st Internat...
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12/02/2022
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning
The ubiquity of edge devices has led to a growing amount of unlabeled da...
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11/03/2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
Cardiovascular disease (CVD) accounts for about half of non-communicable...
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10/30/2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Among different quantum algorithms, PQC for QML show promises on near-te...
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08/02/2022
PAN: Pulse Ansatz on NISQ Machines
Variational quantum algorithms (VQAs) have demonstrated great potentials...
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06/26/2020
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits
Despite the pursuit of quantum supremacy in various applications, the po...
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03/07/2019
Real-Time Boiler Control Optimization with Machine Learning
In coal-fired power plants, it is critical to improve the operational ef...
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03/05/2019
