9,430 Result(s)
within
Conference Paper
Zi**g Wang
Image Processing and Computer Vision
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Chapter and Conference Paper
Deployment and Comparison of Large Language Models Based on Virtual Cluster
[Objective] Currently, large language model (LLM) is one of research highlights in the field of natural language processing. This paper selected some open-source LLMs for deployment and comparison from the perspe...
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Chapter and Conference Paper
Updates and Experiences of VenusAI Platform
[Objective] This paper presents an overview introduction of the VenusAI platform, focusing on its technical updates and sharing the experiences gained since its deployment. The objective is to highlight the platf...
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Chapter and Conference Paper
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion
Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resolution. Super-resolution techniqu...
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Chapter and Conference Paper
A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
The height information of flotation foam is crucial in the titanium flotation. Foam height is embedded within foam point clouds. We are the first to introduce point cloud data in flotation analysis. Addressing...
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Chapter and Conference Paper
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction
The accurate reconstruction of accelerated Magnetic Resonance Imaging (MRI) brings significant clinical benefits, including improved diagnostic accuracy and reduced examination costs. Traditional cardiac MRI r...
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Chapter and Conference Paper
Design of a Rotating Inverted Pendulum Control System Based on Qube-Servo2
In this paper, based on the Qube-Serco2 rotating inverted pendulum system, the mathematical model and state space expression are established, and a stable pendulum control algorithm based on BP neural network ...
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Chapter and Conference Paper
Image Segmentation Algorithm Based on Improved U-Net for Mineral Froth Flotation Process
The froth size distribution in mineral flotation production is closely tied to production indicators. Therefore, accurate segmentation of froth images is of great significance for optimizing and controlling th...
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Chapter and Conference Paper
FAI: A Fraudulent Account Identification System
Fraudulent account detection is essential for businesses and online Internet enterprises, which can help to avoid financial loss and improve user experience. However, conventional solutions suffer from two mai...
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Chapter and Conference Paper
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems. To improve the performance of audio-visual speaker diarization, we leverage pre-tra...
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Chapter and Conference Paper
Cross-channel Image Steganography Based on Generative Adversarial Network
Traditional steganographic algorithms often suffer from issues such as low visual quality and limited resilience against steganalysis at high-capacity data embedding. To address these limitations, this paper p...
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Chapter and Conference Paper
HAECN: Hierarchical Automatic ECN Tuning with Ultra-Low Overhead in Datacenter Networks
In modern datacenter networks (DCNs), mainstream congestion control (CC) mechanisms essentially rely on Explicit Congestion Notification (ECN) that is widely supported by commercial switches to reflect congest...
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Chapter and Conference Paper
Convolutional Neural Network Prediction Error Algorithm Based on Block Classification Enhanced
Reversible data hiding techniques can effectively solve the information security problem, and One crucial approach to enhance the level of reversible data hiding is to predict images with higher accuracy, ther...
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Chapter and Conference Paper
Two-Round Private Set Intersection Mechanism and Algorithm Based on Blockchain
In the contemporary era of the digital economy, the significance of data as a fundamental production factor cannot be overstated, as it serves as a driving force behind the development of the digital economy. ...
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Chapter and Conference Paper
Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems
Speaker Recognition Systems (SRSs) are gradually introducing Deep Neural Networks (DNNs) as their core architecture, while attackers exploit the weakness of DNNs to launch adversarial attacks. Previous studies...
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Chapter and Conference Paper
Towards Cross-Modal Point Cloud Retrieval for Indoor Scenes
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on...
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Chapter and Conference Paper
FaCa: Fast Aware and Competition-Avoided Balancing for Data Center Network
Nowadays, the scale of business data is expanding at an unprecedented rate. To cater to the needs of large businesses, data center networks (DCNs) have been widely deployed and are continuing to expand. Howeve...
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Chapter and Conference Paper
DAS: A DRAM-Based Annealing System for Solving Large-Scale Combinatorial Optimization Problems
As Moore’s law approaches its inevitable end, the performance improvement of traditional Von Neumann has encountered challenge. Some dedicated computing architecture for specific domains is seen as one way to ...
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Chapter and Conference Paper
Deep Learning Estimation of Medical Substance Concentrations Using Pytorch
Machine learning has been widely used in healthcare services. Accurate estimation of target analyte concentrations is crucial for disease diagnosis and treatment planning. In this work, medical datasets are co...
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Chapter and Conference Paper
Joint Video Transcoding and Representation Selection for Edge-Assisted Multi-party Video Conferencing
Current cloud-based multi-party video conferencing suffers from heavy workloads on media servers caused by video transcoding. Emerging edge computing can assist in offloading transcoding tasks to edge nodes. H...
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Chapter and Conference Paper
Structure-Aware Adaptive Hybrid Interaction Modeling for Image-Text Matching
Image-text matching is a rapidly evolving field in multimodal learning, aiming to measure the similarity between image and text. Despite significant progress in image-text matching in recent years, most existi...
