
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.
Inhaltsverzeichnis
. - 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.
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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.
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