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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXI /

The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers pr...

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Detalhes bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Huang, De-Shuang (Editor), Zhang, Chuanlei (Editor), Zhang, Qinhu (Editor), Pan, Yijie (Editor)
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edição:1st ed. 2025.
Colecção:Lecture Notes in Artificial Intelligence, 15862
Assuntos:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Acesso em linha:https://doi.org/10.1007/978-981-95-0006-2
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Sumário:
  • -- Neural Networks.
  • Domain Attention and Confidence-Aware Unsupervised Domain Adaptation Network.
  • Enhanced Spatio-Temporal Extended Pattern Diffusion Network for Traffic Flow Forecasting.
  • Research on Digital 3D Reconstruction of Cultural Relics Using Depth Diffusion Gaussian Splatting.
  • Improve Self-supervision Learning by Enhancing Invariant Information.
  • FQuant: Fast Quantization with Adaptive Resolution via the Clustering Algorithm.
  • Solving Seismic Wave Propagation Using an Adaptive Collocation Point [1] Based Physics-Informed Neural Network.
  • Improving Story Visualization via Attribute Encoding and Adaptive Attention.
  • Text Generation Image Model Based on Gated Convolution Attention Generation Adversarial Network.
  • EFF-ViT: A Vision Transformer with Feature Enhancement and Fusion for Fine-Grained Visual Classification.
  • Concept-based Reasoning Explanation for Deep Neural Networks: Drawing on Human Decision-making.
  • OOD Generalization of GNNs through Causal Stabilization Learning.
  • BiGuidedPrompt: Dynamic Bidirectional Guided Multimodal Prompt Learning.
  • Flight Arrival Delay Prediction Based on Bidirectional Temporal Convolutional Networks.
  • Multi-Granularity Filter Pruning for Deep Neural Network Compression.
  • EEGTCT: Electroencephalogram-based Chinese Text Decoding.
  • Decoupled Graph Neural Networks with Hybrid Data Augmentation.
  • Non-invasive Emotion Perception from Gait by Sparse and Spatial-Temporal Excitation based Graph Convolutional Network.
  • Resource-Constrained Scheduling in Containerized Edge Computing Using Graph Transformer-Enhanced DQN.
  • REAMP: A Redundancy Elimination System for AMP-GNN Acceleration.
  • AGD-Net: An Attention-Guided Network for Joint Background Suppression and Defect-Aware Detail Enhancement.
  • Guarding Graph Neural Networks Against Backdoor Attacks-A Training Loss Dynamics Approach.
  • Dual-Resolution Segmentation Network Utilizing Multi-Scale Features for Metal Defect Detection.
  • Robust Multiview Point Cloud Registration with Reliable Sparse Graph and Adaptive Reweighting.
  • Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features.
  • Decoupled Dual-Path Diffusion: Precise Spatial-Semantic Modeling for Human-Object Interaction Generation.
  • Enhancing Virtual Try-On with Text-Image Fusion Guidance.
  • Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples.
  • A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition.
  • Unsupervised Learning for Solving the Graph Edit Distance.
  • MCE:One-Shot method to relation extraction based on LLMs.
  • Device Anomaly Sound Detection Based on Unsupervised Adversarial Distillation Domain Adaptation.
  • Multi-Bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks.
  • FB-SAM: An Effective Learning Framework for First Break Picking Based on the SAM Model with Limited Data.
  • Feature Visualization in 3D Convolutional Neural Networks.
  • Multi-Dimensional Spatiotemporal Modeling for Multimodal Emotion Recognition in Conversations.
  • Multi-Scale Periodic Residual State Space Model for Time Series Forecasting.
  • YOLO-MAOD: An Algorithm for Ground Object Detection in Open-Pit Mine Based on Remote Sensing Images.
  • SimMix: Enhancing Label Consistency in Graph Mixup for Improved Graph Classification.
  • GUIDE: Learnable Deep Contrastive Graph Clustering with Centrality Guidance.
  • LEFF-YOLO: A Lightweight Cherry Tomato Detection YOLOv8 Network with Enhanced Feature Fusion.
  • Hierarchical Text Graph Learning for Inductive Text Classification.
  • Co-GNN: A Co-Optimization Framework for Memory and Computation in Sampling-based GNN Training.
  • FGSMS: Fine-Grained SM Scheduling for Efficient Deep Learning Computing.
  • Spatiotemporal PM10 Concentration Forecasting via Residual Attention Fusion and Mixture-of-Experts Enhanced Graph Neural Network.

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