167 Result(s)
within
Chapter
**min Zhu
Computer Science
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Chapter and Conference Paper
FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection
Congenital heart disease (CHD) is the most common congenital malformation and imaging examination is an important means to diagnose it. Currently, deep learning-based methods have achieved remarkable results i...
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Chapter and Conference Paper
PRFNet: Progressive Region Focusing Network for Polyp Segmentation
In clinical practice, colonoscopy serves as an efficacious approach to detect colonic polyps and aids in the early diagnosis of colon cancer. However, the precise segmentation of polyps poses a challenge due t...
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Chapter and Conference Paper
MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision
In deep learning, Multi-Layer Perceptrons (MLPs) have once again garnered attention from researchers. This paper introduces MC-MLP, a general MLP-like backbone for computer vision that is composed of a series ...
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Chapter and Conference Paper
SegNetr: Rethinking the Local-Global Interactions and Skip Connections in U-Shaped Networks
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure. However, existing U-shaped segmentation networks: 1) mostly focus on designing...
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Chapter and Conference Paper
Data Reconstruction from Gradient Updates in Federated Learning
Federated learning has become an emerging technology to protect data privacy in the distributed learning area, by kee** each client user’s data locally. However, recent work shows that client users’ data mig...
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Chapter and Conference Paper
Group Simulated Annealing Algorithm for ICSI-OC 2022
Single-objective bounded optimization problems are widely used in real-world applications. Various evolutionary algorithms have been proposed to solve these problems. The Simulated Annealing Algorithm is one o...
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Chapter and Conference Paper
Graph Contrastive Learning with Adaptive Augmentation for Recommendation
Graph Convolutional Network (GCN) has been one of the most popular technologies in recommender systems, as it can effectively model high-order relationships. However, these methods usually suffer from two prob...
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Chapter and Conference Paper
Disentangled Contrastive Learning for Cross-Domain Recommendation
Cross-Domain Recommendation (CDR) has been proved helpful in dealing with two bottlenecks in recommendation scenarios: data sparsity and cold start. Recent research reveals that identifying domain-invariant an...
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Chapter and Conference Paper
Multi-Interest Aware Graph Convolution Network for Social Recommendation
Social recommendation endeavors to harness users’ social connections to enhance recommender systems. Graph Neural Network (GNN) has gained traction for its robust capacity in managing graph data. However, prev...
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Chapter and Conference Paper
ICScope: Detecting and Measuring Vulnerable ICS Devices Exposed on the Internet
Industrial Control Systems (ICS) play an important role in modern Industrial manufacturing and city life, as well as an critical attack surface. However, many ICS devices are deployed without proper security c...
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Chapter and Conference Paper
Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer
Trigger (interesting events) detection is crucial to high-energy and nuclear physics experiments because it improves data acquisition efficiency. It also plays a vital role in facilitating the downstream offli...
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Chapter and Conference Paper
Smooth Joint Motion Planning for Robot Polishing by Redundancy Optimization
With increasing demands on the surface quality of key components in the high-tech fields, ultra-precision polishing technology has received much attention in recent years. Among the numerous ultra-precision po...
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Chapter and Conference Paper
Emphasizing Closeness and Diversity Simultaneously for Deep Face Representation
Recent years have witnessed remarkable progress in deep face recognition due to the advancement of softmax-based methods. In this work, we first provide the analysis to reveal the working mechanism of softmax-...
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Chapter and Conference Paper
Calibrating Popularity Bias Based on Quality for Recommendation Fairness
Recommendation fairness has become a significant topic recently. One obstacle to it is popularity bias. Previous works reduce the bias by eliminating popularity difference entirely. However, items with higher ...
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Chapter and Conference Paper
Topology Reconstruction of High-Reflective Surfaces Based on Multi-modality Data
Fringe projection profilometry (FPP) performs poorly in the three-dimensional (3-D) topology reconstruction of high-reflective surfaces. The missing points are inevitable in the high-reflective regions in the ...
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Chapter and Conference Paper
Surface Defect Detection and Classification Based on Fusing Multiple Computer Vision Techniques
Computer vision techniques are widely used for automated quality control in production line, which can identify defects in from collected images. Due to unclear features, diverse product shapes, and small defe...
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Chapter and Conference Paper
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images
In digital dentistry, high-quality tooth models are essential for dental diagnosis and treatment. 3D CBCT images and intra-oral scanning models are widely used in dental clinics to obtain tooth models. However...
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Chapter and Conference Paper
Number of UAVs and Mission Completion Time Minimization in Multi-UAV-Enabled IoT Networks
The application of unmanned aerial vehicles (UAVs) in IoT networks, especially data collection, has received extensive attention. Due to the urgency of the mission and the limitation of the network cost, the n...
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Chapter and Conference Paper
Leg Mechanism Design of a Jum** Robot with Variable Reduction Ratio Joint
In order to improve the dynamic motion ability of the biped robot, a joint with high torque output and high backdrivability is required. In this paper, a new leg mechanism using a joint with continuously varia...
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Chapter and Conference Paper
PFA: Performance and Fairness-Aware LLC Partitioning Method
In server for cluster, the number of running programs is increasing. The benefit of consolidating multiple programs is good for server utilization, but it also leads to the program’s performance degradation. S...
