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Full Description
This book constitutes the refereed proceedings of the 36th Australasian Database Conference on Databases Theory and Applications, ADC 2025, held in Sydney, NSW, Australia, during December 4-7, 2025.
The 29 full papers presented in this volume are carefully reviewed and selected from 63 submissions. The papers of CDFC 2025 organized in topical sections as follows: Intelligent Investment and Quantitative Trading; Financial Risk Management.
Contents
.- Research Track Papers.
.- Parameter-Efficient Wheat Disease Segmentation.
.- Computing Historical k-core in Parallel.
.- Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation.
.- An Experimental Study of Graph Pattern Mining Systems.
.- Distributional Offline Reinforcement Learning for Recommender Systems.
.- Importance Sampling Facilitates Ensemble Adversarial Transferability.
.- Pursuit of Truth: Incentive Mechanism Involving Privacy Demands in Mobile Crowdsourcing.
.- Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents.
.- An Extensible Benchmark for Value Ambiguity Resolution in Text-to-SQL.
.- A Simple and Effective Index for Querying Large Quasi-Cliques.
.- Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA.
.- XEvalAD: An Explainable Evaluation Framework for Anomaly Detection via Item Response Theory.
.- From Exploratory Heuristics to Exact Search: Accelerating Maximum Common Subgraph Algorithms.
.- PPPR: Accelerating Probabilistic Reverse Top-k Queries via Clustering and Cluster-Aware Threshold Estimation.
.- ReaCH-TGN: Contrastive Hop- and Time-Aware Temporal Graph Network for Reachability Prediction.
.- Privacy-Preserving Graph Data Deduplication for Deep Graph Learning.
.- S2Q: Teaching Language Models New Facts Through Knowledge Graph Instruction Synthesis.
.- The Parameterization Gap: Backtracking Multimodal NL2PSQL.
.- Balanced Popularity in Multi-Product Billboard Advertisement.
.- Federated Learning for Computing Power Network: A Latency Optimization Scheduling Framework based on Deep Reinforcement Learning.
.- Continual Multimodal Knowledge Graph Learning via Adaptive Replay and Topology Distillation.
.- ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMs.
.- Shepherding Track Papers.
.- Online Adaptive Rumor Blocking with Pertinence Set.
.- LLM-Enhanced Processing of Complex Spatial Queries.
.- Advancing Spatial Keyword Queries: From Filters to Unified Vector Embeddings.
.- SQL-to-Text Generation with Weighted-AST Few-Shot Prompting.
.- FusionSHAP: Window Level Shapley Explanations with Semantic and Physical Fusion for STGNNs.
.- LHATM: LLM-Guided Hierarchy-Aware Topic Modeling Framework.
.- Efficient Algorithms for Multi-Criteria Clique Discovery in Multilayer Graphs.
