4,403 Result(s)
within
Chapter
Conference Paper
**ang-**g Wang
Image Processing and Computer Vision
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Chapter and Conference Paper
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation
In an era of information explosion, recommendation systems play an important role in people’s daily life by facilitating content exploration. It is known that user activeness, i.e., number of behaviors, tends to ...
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Chapter and Conference Paper
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
The task of radiology reporting comprises describing and interpreting the medical findings in radiographic images, including description of their location and appearance. Automated approaches to radiology repo...
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Chapter and Conference Paper
Graph Structure Learning-Based Compression Method for Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved remarkable performance in diverse applications. Nevertheless, the substantial scale and computational intricacy limit the practical implementation of CNNs, pa...
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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
Neuron Pruning-Based Federated Learning for Communication-Efficient Distributed Training
Efficient and flexible cloud computing is widely used in distributed systems. However, in the Internet of Things (IoT) environment with heterogeneous capabilities, the performance of cloud computing may declin...
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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
LearnedSync: A Learning-Based Sync Optimization for Cloud Storage
Cloud sync refers to the synchronization (sync) between devices for files that live on cloud storage. Its efficiency is critical to delivering on the promise of anywhere and anytime access for individuals, gro...
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Chapter and Conference Paper
Moving-Target Enclosing Control for Multiple Nonholonomic Mobile Agents Under Input Disturbances
This paper investigates a moving-target enclosing control problem of multiple nonholonomic mobile agents subject to unknown heterogeneous input disturbances. The agents are required to move around the target a...
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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
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
A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction
Frequent happening of disk failures affects the reliability of the storage system, which can cause jittering of performance or even data loss of services and thus seriously threaten the quality of service. Alt...
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Chapter and Conference Paper
Enhanced Featurization of Queries with Interval Density Encoding
Learning-based cardinality estimation methods outperform traditional methods by effectively overcoming strong assumptions(attribute value independence and uniform distribution). Existing learning-based methods...
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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
DNA Steganalysis Based on Multi-dimensional Feature Extraction and Fusion
Steganalysis, as an adversarial technique to steganography, aims to uncover potential concealed information transmission, holding significant research implications and value in maintaining societal peace and s...
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Chapter and Conference Paper
GDTNet: A Synergistic Dilated Transformer and CNN by Gate Attention for Abdominal Multi-organ Segmentation
As one of the key problems in computer-aided medical image analysis, learning how to model global relationships and extract local details is crucial to improve the performance of abdominal multi-organ segmenta...
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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
CT-MVSNet: Efficient Multi-view Stereo with Cross-Scale Transformer
Recent deep multi-view stereo (MVS) methods have widely incorporated transformers into cascade network for high-resolution depth estimation, achieving impressive results. However, existing transformer-based me...
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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
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
The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity detection, clustering-based diarization, over...
