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09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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08/30/2023
Depth analysis of battery performance based on a data-driven approach
Capacity attenuation is one of the most intractable issues in the curren...
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08/19/2023
Generative Adversarial Networks Unlearning
As machine learning continues to develop, and data misuse scandals becom...
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04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
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02/03/2023
Clustered Embedding Learning for Recommender Systems
In recent years, recommender systems have advanced rapidly, where embedd...
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01/18/2023
Parameter Estimation for the Truncated KdV Model through a Direct Filter Method
In this work, we develop a computational method that to provide realtime...
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12/17/2022
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent
In this paper, we carry out numerical analysis to prove convergence of a...
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09/30/2022
Strings And Colorings Of Topological Coding Towards Asymmetric Topology Cryptography
We, for anti-quantum computing, will discuss various number-based string...
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07/07/2022
Parameterized Colorings And Labellings Of Graphs In Topological Coding
The coming quantum computation is forcing us to reexamine the cryptosyst...
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12/01/2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Deep generative models have gained much attention given their ability to...
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04/20/2021
Meshfree Approximation for Stochastic Optimal Control Problems
In this work, we study the gradient projection method for solving a clas...
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12/09/2020
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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09/17/2020
Hysteresis and Linear Stability Analysis on Multiple Steady-State Solutions to the Poisson–Nernst–Planck equations with Steric Interactions
In this work, we numerically study linear stability of multiple steady-s...
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09/04/2019
Topological Coding and Topological Matrices Toward Network Overall Security
A mathematical topology with matrix is a natural representation of a cod...
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08/06/2019
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
Multi-modal magnetic resonance imaging (MRI) is essential in clinics for...
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07/11/2019
Using Chinese Characters To Generate Text-Based Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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10/24/2018
AUNet: Breast Mass Segmentation of Whole Mammograms
Deep learning based segmentation has seen rapid development lately in bo...
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09/13/2018
Text-based Passwords Generated From Topological Graphic Passwords
Topological graphic passwords (Topsnut-gpws) are one of graph-type passw...
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07/26/2018
Topological Graphic Passwords And Their Matchings Towards Cryptography
Graphical passwords (GPWs) are convenient for mobile equipments with tou...
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07/11/2018
Co-KV: A Collaborative Key-Value Store Using Near-Data Processing to Improve Compaction for the LSM-tree
Log-structured merge tree (LSM-tree) based key-value stores are widely e...
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06/08/2018