Advanced Intelligent Computing Technology and Applications

The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The 523 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions.

This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications".

Inhalt

._ Intelligent Data Analysis and Prediction.
.A Table Semantic Retrieval Method using Self-supervised Pre-training Querying Transformer and Text-Attributed Graphs.
.BCIMFuse: Beneficial Complementary Information Mining Networks for Infrared and Visible Image Fusion.
.MCTFuse: A Cross-Domain Global Interaction Framework for Infrared and Visible Image Fusion.
. Fine-Grained Feature Fusion for Self-Supervised Multimodal Sentiment Analysis.
.LFVD: Language-Focused Augmented Transformer with Variational Distillation Fusion for Multimodal Emotion Recognition in Conversation.
.A Multi-Expert Vision Adapter Framework for End-to-End Vision-Language Integration.
.Memory Adaptive Dynamic Graph Convolutional Recurrent Networks for Traffic Prediction.
.LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions.
.Two-state Interpretable Knowledge Tracing Model Based on Difficulty Tensor.
.TKGMamba: An Efficient Temporal Knowledge Graph Reasoning Method with Enhanced Semantic and Temporal Dependency Modeling.
.Dependencies in Long-Term Time Series Forecasting.
.KGNN-KT: Enhancing Knowledge Tracing in Programming Education Through LLM-Extracted Knowledge Graphs.
.ETHDec: An Opcode-level Analysis Approach through Parameter-efficient Fine-tuning.
.Transformer-based Heterogeneous Feature Disentangled Representation Learning for Multimodal Sentiment Analysis.
.MCot-NWU: A Multi-CoT Framework for Interpreting Chinese Internet Neologisms.
.Bus Arrival Time Prediction at Intersections via Structured Spatio-Temporal Learning.
.GEM-GCRN: A Geospatial-Enabled Meta-Graph Convolutional Recurrent Network for Traffic Prediction.
.DSEFormer: An Efficient Deep Learning-Based Regression Framework.
.Bearing Remaining Useful Life Prediction Method Based on the GWO Algorithm and MsTCN-Informer Model.
.DSTNet: A Dual-Branch Architecture for Seasonal-Trend Feature Fusion in Time Series Forecasting.
.Text-Based Sarcasm Detection with Emoji Contradictory Clues Assisting.
.Convolutional Long Short-Term Memory Neural Networks Based Numerical Simulation of Flow Field.
.Yes or No: Active Learning with Binary Feedback for Efficient Label Acquisition.
.Self-Supervised Graph-Optimized Cascading Disentangled GCNs for Multi-Behavior Recommendation.
.From Interpretation to Precision: A Game-Theoretic Model for Accurate Precipitation Nowcasting.
.ADInformer for the Personalized Prediction of Alzheimer's Disease Progression Trajectory.
.Personalized Learning Style Classification and Adaptive Teaching with SRE-TransformerNet.
.PAMCNet: A Hybrid Network Combining Patch-Dependent Attention and Mamba Channel Modeling for Multivariate Time Series Forecasting.
.G-Value: Bridging the Gap Between LOO and Shapley Value Approaches for Data Valuation.
.HBLSIR: Information Diffusion Modeling on Inherent Public Opinion Structure, Multidimensional Emotion and Dynamic Susceptibility.
.Aircraft surface taxiing trajectory prediction fused with path instructions.
.Carbon Emission Prediction Based on GNNWR-GBDT.
.Flight Trajectory Prediction Based on TCN-Transformer Method.
.An Effective Support Vector Regression Based on L-norm for Small Samples.
.AutoBackend: Agent-driven Framework for Intelligent Backend Development.
.Intelligent Fault Diagnosis of Tunnel Boring Machine Main Bearings via LCD-FastICA and Multi-scale CNN.
.Time Series Anomaly Detection Based on an Enhanced Anomaly Transformer.
.Fine-Grained Root Cause Localization for Large-Scale Server Systems Based on Indicator-Level Graph Learning.
.A Network Traffic Anomaly Detection Method Based on BLTranAD-NR.
.HRM: A One-Class Learning Approach for Anomaly Detection in Blockchain Transactions.
.Adaptive Ternary Division with VLM Knowledge for Domain Adaptation of Black-Box Predictors.
.BAAM: An Inferential Multi-Agent Modeling for Energy-Optimized Job Scheduling in Green Data Centers.
.Multi-level Attention-based Dynamic Production Task Scheduling with Cross-plant Material Transfers in Multi-plant Collaborative Manufacturing.
.Collaborative Edge Computing.