Database Systems for Advanced Applications

Machine Learning.- Less is More: Efficient Weight “Farcasting” with 1-Layer Neural Network.- FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization.- UFMKSC: A Uniform Framework for Multiple Kernel Spectral Clustering Using a Noise-Free Laplacian Matrix.- LODC: A Lightweight Online Update Method for Density-Based Clustering.- JurisNexus: Enhancing Legal Judgment Prediction via Cross-Reasoning-Chain Representation Learning Mechanism.- Bridging the Gap between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction.- HESM: A Hyperedge Embedding-Based Subhypergraph Matching Method.- DySA-TGN: Dynamic Self-Adaptive Temporal Graph Neural Network for Multivariate Time Series Classification.- STPformer: Mutation-Aware Spatial-Temporal Pivotal Attention Networks for Transformer-based Traffic Forecasting.
.- Making Local Models Learn Autonomously With Global Feature Tracking and Client Drift Releasing for Federated Learning.- Gaussian Regularization in Neural Graph Learning.- Subset Discovery for Entity Matching.- Facial Features Enhanced Multi-Branch Graph Network for Driver Drowsiness Detection.- CF-TS: A General Coarse-to-Fine Method for Trajectory Simplification.- ExBoost: Out-of-Box Co-Optimization of Machine Learning and Join Queries.- MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation.- Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training.- Anticipating Retractions in Scientific Databases using LLM-Based Citation Analysis.- Personalized Federated Multi-Center Medical Data Analysis with Local and Global Uncertainty.- Data-Driven Regional Weather Forecasting Guided by Global Context.- Instance-Aware Test-Time Adaptation for Domain Generalization.- FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents.- Mitigating Linguistic Bias between Malay and Indonesian Languages using Masked Language Models.- ROME: Memorization Insights from Text, Logits and Representation.- FairDP-GNN: Graph Neural Network with Group Fairness and Differential Privacy.- Accelerating DeepWalk via Context-Level Parameter Update and Huffman Tree Pruning.- MASS: Mitigating Aspect-oriented Semantic Sparsity for Fine-grained Sentiment Analysis.- Predicting Enterprise Users’ Consuming Potential for Cloud Services.- rFedKD: A Reverse Federated Knowledge Distillation Method for Communication Efficiency.- Private Multi-Party Neural Network Training over Z2k via Galois Rings.- Text- Enhancing Chinese Multimodal Entity Linking with CLIP-RoBERTa and Contrastive Learning.- Sentence Extraction Framework with High Relevance and Divergence for Document Summarization.- Enhancing Chain-of-Thought Reasoning for Text-to-SQL with Effective Retrieval-Augmented Generation.- Unlocking Multimodal Potential for Few-Shot Semantic Segmentation with Vision-Enriched Text.- AMR-GCC:Two-step Cross-Document Event Factuality Identification on Data Augmentation.- NanoCSV: Enabling Efficient Parallel CSV Extraction with Hierarchical Finite-State Transducer.