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

._Advancements in Multimodal Intelligent Computing.
.FlexTransformer: Flexibly Allocating Transformer Modules for Efficient Video Captioning.
.A Novel Robotic System for Apple Automatic Harvesting and Grading.
.A review of the identification methods of digital twin coal rock driven by multimodal model.
.Entity Attribute Correspondence Learning for Text-based Person Search.
.SAMBA-Net: Enhancing Sarcomere Organization Evaluation with AI-Powered Multi-Modal Learning.
.FART-Attack: A Feature-level Active Region Targeting Framework for Transferable Black-box Adversarial Attacks on 3D Point Clouds.
.NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training.
**.Machine Learning.
.Lie Group-based Multimodal Dynamic Attention for Chest X-ray Diagnosis.
.Individual Causal Effect Estimation Based On Data Balancing And Feature extraction.
.AgentTester: An LLM-Based Tool for Unit Test Generation with Automatically Generated Prompts.
.Block Cipher Algorithm Identification Scheme Based on Fast Fourier Transform.
.ESA: Annotation-Efficient Active Learning for Semantic Segmentation.
.Tea Pest and Disease Detection in Complex Backgrounds Using YOLOv11.
.Intelligent Detection of Goose Egg Hatchability via Deformable Convolution and Multi-Scale Feature Fusion.
.Cross-modal Entity Alignment Method Based on Contrastive Learning of Text and Images.
.Long-term ozone forecasting using the Informer model with site aggregation and transfer learning.
.Retrieval of Vegetation Canopy Biophysical and Biochemical Parameters Based on Multi-output Gaussian Processes.
.Lightweight Federated POI Recommendation Framework Based on Hamming Clustering.
.EEG Emotion Recognition Based on Multidimensional Feature Collaborative Extraction.
.MBHNet:Efficient Multi-Branch Inference for Mobile Heterogeneous System.
.Deep Learning Based Design and Optimization of Shell-and-Tube Heat Exchangers.
.Towards Fast Event-based Recognition with Adaptive Slicing.
.I2CLD: Image-to-Image-enhanced Contrastive Learning Distillation for Cross- and Intra-modal Retrieval.
.A Semantic Similarity based Distribution Calibration Approach for Few-Shot Image Classification.
.When the U.S. Capital Becomes Tokyo: The Boundary of Knowledge Editing.
.MEL-Net: Accelerating Action Recognition with Motion-Enhanced Lightweight Network.
.Adversarial Purification Using Super-Resolution and Prompt Engineering.
.Hierarchical Semantic-Guided Attention with Prompt-Augmented Vision Prototypes for 3D Point Cloud few-shot learning.
.FedBE: Federated Learning for Heterogeneous and Data Scarcity.
.HambaGCL: Mamba-Based Multi-Hop Graph Sequencing for Contrastive Learning.
.DRL-Based Asynchronous Federated Learning for Cooperative Caching in IoV.
.Time-Frequency Adaptive Fusion for Sequential Recommendation.
.FedGF: Layer-wise Federated Learning with Group Fairness Guarantees.
.HALOES: Instruction Flow Analysis Method via Graph Bayes Learning for Accelerating Chip Test Coverage.
.Weakly Supervised Video Anomaly Detection with Lightweight Knowledge Token Fusion and Memory Optimization Strategy.
.A Dynamic Multi-Proxy Based Deep Metric Learning Method.
.AutoReqGen: A Pipeline Approach for Automated Requirements Generation from Source Code.
._Expert Knowledge-Guided Deep Reinforcement Learning for Jiu Chess: A Hybrid Intelligence Approach.
.Natural Language Processing and Computational Linguistics.**
.Intelligent Speech Analysis and Safety Hazard Classification for Coal Mine Dispatch Telephones Based on Deep Learning.
.Automatic Lesson Plan Generation based on a Large Language Model.
.In-Context Learning vs Instruction Tuning: A Systematic Comparison of Few-Shot Adaptation Strategies for Large Language Models.
.Two-Stage Semantic Enhancement for Open Information Extraction.
.Iterative Context Prototype Learning with Graph Dependency for Few-Shot Emotion Recognition in Conversations.
._Research on Normative Chalkboard Writing Question Answering Based on Large Language Models.