149 Result(s)
within
**hai Yu
Computer Science
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Article
A Cellular Automaton Approach for Efficient Computing on Surface Chemical Reaction Networks
A surface chemical reaction network (sCRN, Qian and Winfree in DNA Computing and Molecular Programming: 20th International Conference, DNA 20, Kyoto, Japan, September 22–26, 2014. Proceedings 20. Springer, 201...
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Article
Universality of a surface chemical reaction network using only bi-molecular reactions
In recent years, a novel molecular computation model known as surface chemical reaction network (Qian, In: DNA computing and molecular programming: 20th international conference, DNA 20, Proceedings, 2014) has...
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Article
(k, n) threshold secret image sharing scheme based on Chinese remainder theorem with authenticability
In the traditional secret image sharing (SIS) scheme, the secret image is divided into several noise-like shares, which lack authentication and may attract the attention of malicious users. Therefore, the auth...
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Chapter and Conference Paper
Research on Digital Maturity Evaluation Model of Public Hospitals
Building an evaluation model of digital maturity in public hospitals, combining the data management maturity model with the digital maturity model, evaluating the research progress of digital transformation in...
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Article
Correction to: Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
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Article
DBA-UNet: a double U-shaped boundary attention network for maxillary sinus anatomical structure segmentation in CBCT images
Accurate identification of the maxillary sinus and maxillary sinus septum on cone beam computed tomography (CBCT) is essential for appropriate surgical methods. However, the large-scale gap and the prior knowl...
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Article
Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Federated learning (FL) is an emerging technique used to preserve the privacy of users’ data in training by a distributed machine learning approach. Previously, a client-edge-cloud hierarchical federated learn...
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Chapter and Conference Paper
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions have been proposed for this prob...
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Chapter and Conference Paper
Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment
Test-time adaption is very effective at solving the domain shift problem where the training data and testing data are sampled from different domains. However, most test-time adaption methods made their success...
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Chapter and Conference Paper
Semi-supervised Learning with Nearest-Neighbor Label and Consistency Regularization
Semi-supervised learning, a system dedicated to making networks less dependent on labeled data, has become a popular paradigm due to its strong performance. A common approach is to use pseudo-labels with unlab...
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Chapter and Conference Paper
Enhancing Adversarial Transferability from the Perspective of Input Loss Landscape
The transferability of adversarial examples enables the black-box attacks and poses a threat to the application of deep neural networks in real-world, which has attracted great attention in recent years. Regar...
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Chapter
Protecting Image Processing Networks via Model Watermarking
Deep learning has achieved tremendous success in low-level computer vision tasks such as image processing tasks. To protect the intellectual property (IP) of such valuable image processing networks, the model ...
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Chapter and Conference Paper
Affinity-Aware Relation Network for Oriented Object Detection in Aerial Images
Object detection in aerial images is a challenging task due to the oriented and densely packed objects. However, densely packed objects constitute a significant characteristic of aerial images: objects are not...
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Chapter and Conference Paper
Eventually-Consistent Replicated Relations and Updatable Views
Distributed systems have to live with weak consistency, such as eventual consistency, if high availability is the primary goal and network partitioning is unexceptional. Local-first applications are examples o...
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Article
Open AccessDeep 3D mesh watermarking with self-adaptive robustness
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, researchers need manually design wa...
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Article
Co-optimization strategy between array operation and weight map** for flash computing arrays to achieve high computing efficiency and accuracy
In this study, we propose a co-optimization method of array operation and weight map** for flash computing arrays to improve computing efficiency and accuracy. The proposed co-optimization can minimize the r...
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Article
\(\hbox {ABDF}^{2}\) -Net: an adaptive bi-directional features fusion network for real-time detection of threat object
To achieve automatic detection of threat objects for X-ray baggage screening, we propose an adaptive bi-directional features fusion network ( $...
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Article
Certified defense against patch attacks via mask-guided randomized smoothing
The adversarial patch is a practical and effective method that modifies a small region on an image, making DNNs fail to classify. Existing empirical defenses against adversarial patch attacks lack theoretical ...
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Article
Devising optimal integration test orders using cost–benefit analysis
Integration testing is an integral part of software testing. Prior studies have focused on reducing test cost in integration test order generation. However, there are no studies concerning the testing prioriti...
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Chapter and Conference Paper
Multi-view Geometry Distillation for Cloth-Changing Person ReID
Most person re-identification (ReID) methods aim at retrieving people with unchanged clothes. Meanwhile, fewer studies work on the cloth-inconsistency problem, which is more challenging but useful in the real ...
