Text and Sentiment Analysis -- Ensemble Learning Model for Medical Text Classification -- Fuzzy Based Text Quality Assessment for Sentiment Analysis -- Prompt-Learning for Semi-Supervised Text Classification -- Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification -- Fast Text Comparison Based on ElasticSearch and Dynamic Programming -- Question Answering and Information Retrieval -- User Context-aware Attention Networks for Answer Selection -- Towards Robust Token Embeddings for Extractive Question Answering -- Math Information Retrieval with Contrastive Learning of Formula Embeddings -- Social Media and News Analysis -- Influence Embedding from Incomplete Observations in Sina Weibo -- Dissemination of Fact-checked News does not Combat False News: Empirical Analysis -- Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream -- Leveraging Social Networks for Mergers and Acquisitions Forecasting -- Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning -- Security and Privacy -- Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks -- ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism -- Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicle Edge Computing -- Priv-S: Privacy-Sensitive Data Identification in Online Social Networks -- TLEF: Two-Layer Evolutionary Framework for t-closeness Anonymization -- A Dual-Layer Privacy-Preserving Federated Learning Framework -- A Privacy-Preserving Evolutionary Computation Framework for Feature Selection -- Local Difference-based Federated Learning Against Preference Profiling Attacks -- Proximity-based MAENS: A Computational Intelligence Method for Privacy-Preserving Multiple Traveling Salesmen Problem -- Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction -- ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection -- Web Technologies -- Web Page Segmentation: A DOM-structural Cohesion Analysis Approach -- Learning to Select the Relevant History Turns in Conversational Question Answering -- A Methodological Approach for Data-intensive Web Application Design on top of Data Lakes -- ESPRESSO: A Framework for Empowering Search on Decentralized Web -- Primary Building Blocks for Web Automation -- A Web Service Oriented Integration Solution for Capital Facilities Information Handover -- Deep Neural Network based approach for IoT service QoS prediction -- Graph Embeddings and Link Predictions -- Path-KGE: Preference-aware Knowledge Graph Embedding with Path Semantics for Link Prediction -- Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes -- Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models -- FastAGEDs: Fast Approximate Graph Entity Dependency Discovery -- Topological Network Field Preservation For Heterogeneous Graph Embedding -- Predictive Analysis and Machine Learning -- Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions -- TSEGformer:Time-Space dimension dependency transformer for use in multivariate time series prediction -- Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models -- Prediction of Student Performance with Machine Learning Algorithms Based on ensemble learning methods -- Recommendation Systems -- Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies -- Incorporating Social-aware User Preference for Video Recommendation -- Noise-augmented Contrastive Learning for Sequential Recommendation -- Self-Attention Convolutional Neural Network for Sequential Recommendation -- Informative Anchor-enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation -- Leveraging Sequential Episode Mining for Session-based News Recommendation -- Improving Conversational Recommender Systems via Knowledge enhanced Temporal Embedding -- Natural Language Processing (NLP) and Databases -- Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples -- GAN-IE: Enhancing Information Extraction Through Generative Adversarial Networks with Limited Annotated Data -- An Integrated Interactive Framework for Natural Language to SQL Translation -- Task-driven Neural Natural Language Interface to Database -- Identification and Generation of Actions using Pre-trained Language Models -- GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations -- An Ensemble-based Approach for Generative Language Model Attribution -- Knowledge-grounded Dialogue Generation with Contrastive Knowledge Selection -- Data Analysis and Optimization -- A data-driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation -- Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index -- Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs -- CREAM: Named Entity Recognition with Concise Query and Region-Aware Minimization -- Anomaly and Threat Detection -- An Effective Dynamic Cost-Sensitive Weighting based Anomaly Multi-Classification Model for Imbalanced Multivariate Time Series -- Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System -- Study on Credit Risk Control By Variational Inference -- Streaming Data -- An Adaptive Drilling Sampling Method and Evaluation Model for Large Scale Streaming Data -- Unsupervised Representation Learning with Semantic of Streaming Time Series -- Miscellaneous -- Capo: Calibrating Device-to-Device Positioning With a Collaborative Network -- The Impact on Employability by COVID-19 Pandemic - AI case studies -- A semi-automatic framework towards building Electricity Grid Infrastructure Management ontology: A case study and retrospective -- Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique -- Meta-Learning for Estimating Multiple Treatment Effects with Imbalance -- SML: Semantic Machine Learning Model Ontology -- Explainability and Scalability in AI -- A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability -- Scaling Machine Learning with an efficient Hybrid Distributed Framework -- Domain Adaptation with Sample Relation Reinforcement.