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    <subfield code="a">Mining Complex Types of Data -- kNN Join for Dynamic High-dimensional Data: A Parallel Approach -- Take a Close Look at the Optimization of Deep Kernels for Non-parametric Two-sample Tests -- Probabilistic Reverse Top-k Query on Probabilistic Data -- Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis -- Natural Language Processing and Text Analysis -- Learning Implicit Sentiment for Explainable Review-Based Recommendation -- Balanced and Explainable Social Media Analysis for Public Health with Large Language Models -- Prompt-based Effective Input Reformulation for Legal Case Retrieval -- Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis -- Machine Learning and Computer Vision -- Towards Reliable and Efficient Vegetation Segmentation for Australian Wheat Data Analysis -- SMST: A Saliency Map to Scanpath Transformer -- Multi-level Storage Optimization for Intermediate Data in AI Model Training -- Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance -- Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow -- Database Systems and Data Storage -- Health Status Assessment for HDDs based on Bi-LSTM and N-dimensional Similarity Metric -- Why Query Plans are Different: An Automatic Detection and Inference System -- An Empirical Analysis of Just-in-Time Compilation in Modern Databases -- Relational Expressions for Data Transformation and Computation -- Data Quality and Fairness for Graphs -- Discovering Graph Differential Dependencies -- Maximum Fairness-aware (k, r)-Core Identification in Large Graphs -- IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs -- Efficient Maximum Relative Fair Clique Computation in Attributed Graphs -- Graph Mining and Graph Algorithms -- Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs -- An Experimental Evaluation of Two Methods on Shortest Distance Queries over Small-world Graphs -- Discovering Densest Subgraph over Heterogeneous Information Networks -- Influence Maximization Revisited -- On Directed Densest Subgraph Detection.</subfield>
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