Huang / Chen / Pan Advanced Intelligent Computing Technology and Applications

21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXII
Erscheinungsjahr 2025
ISBN: 978-981-950009-3
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 537 Seiten

Reihe: Lecture Notes in Artificial Intelligence

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 presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. 

Zielgruppe

Research

Autoren/Hrsg.

Huang, De-Shuang

Chen, Wei

Pan, Yijie

Chen, Haiming

Inhaltsverzeichnis

.- Neural Networks.
.- Event Data Classification using TPE-based Deep Spiking Neural Networks.
.- TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient  Object Detection.
.- Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching.
.- MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate  Long-term Time Series Forecasting.
.- Topology-Aware Discriminative Graph Convolutional Network for  Skeleton-Based Action Recognition.
.- Online Delay Learning Algorithm for Feedforward Spiking Neural Networks  Based on Spike Train Kernels.
.- Energy-Constrained UAV Network Topology Recovery Based on Graph  Convolutional Networks.
.- UBDet: An Unsupervised Breast Tumor Detection Framework with  Boundary-Aware Enhancement.
.- Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal  Aspect-Based Sentiment Analysis.
.- AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on  Text Guidance.
.- Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic  Flow Prediction.
.- EMDC-YOLO: A Residual Multi-Scale Attention and Cross-Scale Fusion based Method for Pedestrian Detection in Crowded Scenes.
.- A Novel Lightweight YOLO Method for Satellite Remote Sensing via  Matrix Decomposition.
.- TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-Scale  Time Series Dynamic Modeling.
.- Research on Contrastive Learning-Based Knowledge Distillation for Deep  Graph Neural Networks.
.- Two-view Fusion Graph Neural Networks for Graph Classification.
.- MambaForDIF: Distance-Importance Features and Long-Range  Dependencies for Enhancing Aspect-Based Sentiment Analysis.
.- FedCWE: Federated Cluster-based Weight Sampling and Ensemble Learning  for Non-IID Data.
.- ORE: an Offline Redundancy Elimination System for GNN Acceleration.
.- Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network.
.- SCAUnet: Symmetric Cross-Attention U-net model for Semantic  Segementation.
.- Self-Attention Multiscale Mixed Propagation Network Based on Contrastive  Augmentation.
.- Sentiment Perception from Tokens: A Multitask Learning Framework with  Entropy-Driven Fusion.
.- GCLCP: Graph Contrastive Learning with Convolutional Perturbation for  Recommendation.
.- Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases  Recognization.
.- LTL-GCL:A more efficient layer-to-layer graph contrastive learning method  for recommender system.
.- IMVGCN : Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting.
.- An Inverse Cavity Scattering Inversion Method Based On Adaptive Neural Fuzzy Inference System.
.- Entity Backdoor Attacks Against Fine-Tuned Models.
.- Knowledge Graph Denoising with Dual Contrast for Recommendation.
.- DDformer: Deepfake Detection with Multimodal Fusion Transformer.
.- Improved Transfer Learning based on Increased Model Capacity and Weight Re-initialization for ResNet.
.- BEVboost: Research on 3D Object Detection Method for Roadside Based on  Multi-Feature Fusion.
.- ARG-Net:Gaze Estimation Based on Adversarial Learning and Learnable  Networks.
.- GNN Advanced Heuristics Algorithm for Solving Multi-Depot Vehicle  Problem.
.- MSDBNet: A Multi-Scale and Dual-Branch Network for Cross-Domain  Person Re-identification.
.- Global and Local Feature Enhancement for Short Video Fake News  Detection.
.- SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural  Network and Deep Reinforcement Learning.
.- Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features.
.- Hierarchical Attention-Driven Dynamic Graph Neural Networks for  Accurate Supply Chain Demand Forecasting.
.- DHCBR: Evaluating the Influence of Supply Chain Complex Network  Nodes Based on ResNet.
.- An Efficient DNN Training Method with Progressive Pruning.
.- TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D  Object Detection.
.- Network Protocol Security Evaluation via LLM-enhanced Fuzzing in  Extended ProFuzzBench.