-- 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.

The two-volume set IFIP AICT 703 and 704 constitutes the refereed conference proceedings of the 13th IFIP TC 12 International Conference on Intelligent Information Processing XII, IIP 2024, held in Shenzhen, China, during May 3-6, 2024. The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections: Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition. Volume II: Image Understanding.