.- 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.
