Intelligent Information Processing XII

.- Machine Learning .

.- Dual Contrastive Learning for Anomaly Detection in Attributed Networks.

.- Online Learning in Varying Feature Spaces with Informative Variation.

.- Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms.

.- Table Orientation Classification Model Based on BERT and TCSMN.

.- Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning.

.- Entropy-Based Logic Explanations of Differentiable Decision Tree.

.- Deep Friendly Embedding Space for Clustering.

.- Design and Implementation of Risk Control Model Based on Deep Ensemble Learning Algorithm.

.- More Teachers Make Greater Students: Compression of CycleGAN.

.- Hybrid integrated dimensionality reduction method based on conformal homeomorphism mapping.

.- Natural Language Processing .

.- Are Mixture-of-Modality-Experts Transformers Robust to Missing ModalityDuring Training And Inferring?.

.- Question Answering Systems Based on Pre-trained Language Models: Recent Progress.

.- A BERT-Based Model for Legal Document Proofreading.

.- Entity Relation Joint Extraction with Data Augmentation Based on Large Language Model.

.- Neural and Evolutionary Computing .

.- Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection.

.- An Indicator Based Evolutionary Algorithm for Multiparty Multiobjective Knapsack Problems.

.- Ensemble Strategy Based Hyper-Heuristic Evolutionary Algorithm for Many-objective Optimization.

.- Rolling Horizon Co-evolution for Snake AI Competition.

.- Training Artificial Immune Networks as Standalone Generative Models for Realistic Data Synthesis.

.- Structure Optimization for Wide-Channel Plate Heat Exchanger Based on Interval Constraints.

.- Genetic algorithm driven by translational mutation operator for the scheduling optimization in the steelmaking-continuous casting production.

.- Adaptive Genetic Algorithm with Optimized.

.- A Data-driven Framework for Whole-brain Network Modeling with Simultaneous EEG-SEEG Data.

.- Recommendation and Social Computing .

.- Secure and Negotiate Scheme for Vehicle-to-Vehicle Communications in an IoV.

.- Flexible K-anonymity Scheme Suitable for Different Scenarios in Social Networks.

.- A Recommendation Algorithm Based on Automatic Meta-Path Generation and Relationship Aggregation.

.- Cooperative Coevolution for Cross-City Itinerary Planning.

.- Business Intelligence and Risk Control .

.- A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-Layer Stacking Ensemble Learning with DualCNN-LSTM Models and Nested

.- Heterogeneous Learners.

.- Credit Default of P2P Online Loans Based on Logistic.

.- FedPV-FS: A Feature Selection Method for Federated Learning in Insurance Precision Marketing.

.- FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach Based on Binary Matching.

.- From Concept to Prototype: Developing and Testing GAAINet for Industrial IoT Intrusion Detection.

.- Efficient and Secure Authentication Scheme for Internet of Vehicles.

.- Pattern Recognition .

.- Research on Wavelet Packet Sample Entropy Features of sEMG Signal in Lower Limb Movement Recognition.