Explore interactive demonstrations and poster presentations at ICDM 2026.
The demo track of ICDM 2026 aims to provide a platform for researchers and practitioners to showcase innovative, fully‑implemented data‑mining systems via interactive demonstrations, allowing conference attendees to get hands‑on experience with new developments in data mining. This year the demo track accepts 35 submissions, covering a wide range of frontier topics including interactive graph analytics, data lifecycle management, LLM agent systems, and so on.
Chairs: Xiangnan He · University of Science and Technology of China; Carl Yang · Emory University; Gustavo Batista · University of New South Wales
* Corresponding author
Find poster locations by paper ID, title, session, floor, area, or position number.
| Floor | Area | No. | Session | Paper ID | Title |
|---|---|---|---|---|---|
| 2F | Area A | P1-2A-001 | Recommendation, adaptation and spatiotemporal modeling I | DM1804 | Transparent Generalized Additive Time Series Forecasting at Transformer-Level Accuracy |
| 2F | Area A | P1-2A-002 | Foundations, causality and learning theory | DM337 | Witnesses Explain Anomalies |
| 2F | Area A | P1-2A-003 | Foundations, causality and learning theory | DM366 | Performance Driven Domain-level Data Acquisition |
| 2F | Area A | P1-2A-004 | Foundations, causality and learning theory | DM474 | HGPRA: Training-Dynamics-Aware Hypergraph Condensation via Progressive Representation Anchoring |
| 2F | Area A | P1-2A-005 | Foundations, causality and learning theory | DM705 | CurFlow: Curriculum Flow Matching for Imbalanced Tabular Classification |
| 2F | Area A | P1-2A-006 | Foundations, causality and learning theory | DM1161 | Causal Explanations of Process Monitor Predictions |
| 2F | Area A | P1-2A-007 | Foundations, causality and learning theory | DM1234 | Prediction-Powered Corpus Mining: Coverage-Valid Statistics from Scarce Labels |
| 2F | Area A | P1-2A-008 | Foundations, causality and learning theory | DM2081 | SpecFit: Select Before You Train for Fourier-Feature Model Selection |
| 2F | Area A | P1-2A-009 | Foundations, causality and learning theory | DM499 | Reliable Sparse Circuit Mining: False Discovery Rate Control and Valid Post-Selection Inference for Language Model Behavior |
| 2F | Area A | P1-2A-010 | Foundations, causality and learning theory | DM1439 | GramMGT: Assessing and Hardening Machine-Generated Text Detectors with Train-Free Humanization |
| 2F | Area A | P1-2A-011 | Foundations, causality and learning theory | DM1823 | FlowPaint: High-Fidelity Text-Guided Multi-Mask Inpainting via Deterministic Flow Matching |
| 2F | Area A | P1-2A-012 | Foundations, causality and learning theory | DM1060 | Provably Feasible LLM Decoding for Combinatorial Optimization |
| 2F | Area A | P1-2A-013 | Heterogeneous graphs and multimodal intelligence | DM455 | MACC-GNAS: Modality-Aware Cooperative Co-Evolutionary Graph Neural Architecture Search for Co-Exploitation Behavior Discovery |
| 2F | Area A | P1-2A-014 | Heterogeneous graphs and multimodal intelligence | DM475 | DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection |
| 2F | Area A | P1-2A-015 | Heterogeneous graphs and multimodal intelligence | DM625 | Graph Data-Centric Evaluator for Test-Time GNN Performance Estimation |
| 2F | Area A | P1-2A-016 | Heterogeneous graphs and multimodal intelligence | DM628 | ASSIST: Urban Region Embedding via Adaptive Separate-Shared Gate and Information-Statistics Optimization |
| 2F | Area A | P1-2A-017 | Heterogeneous graphs and multimodal intelligence | DM666 | Towards Cross-domain Graph Few-shot Class-incremental Learning |
| 2F | Area A | P1-2A-018 | Heterogeneous graphs and multimodal intelligence | DM723 | Subspace Adaptive Learning Framework for Trapezoidal Data Streams with Concept Drift |
| 2F | Area A | P1-2A-019 | Heterogeneous graphs and multimodal intelligence | DM2044 | GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction |
| 2F | Area A | P1-2A-020 | Heterogeneous graphs and multimodal intelligence | DM1306 | CoVEx: Connectivity-Constrained Gradient Explanation for GNN-based Vulnerability Detection |
| 2F | Area A | P1-2A-021 | Heterogeneous graphs and multimodal intelligence | DM979 | SIM:Subspace Interaction-based Method for Token-Level Text Anomaly Detection |
| 2F | Area A | P1-2A-022 | Heterogeneous graphs and multimodal intelligence | DM383 | Subgraph Meta-Learning for Direction and Time Aware Transaction Anomaly Detection |
| 2F | Area A | P1-2A-023 | Heterogeneous graphs and multimodal intelligence | DM1474 | Fraud Detection Model Through Global Structure and Local Substructure Feature Fusion |
| 2F | Area A | P1-2A-024 | Machine learning, optimization and statistical methods | DM1099 | Positive-Negative Spherical Interpolation for Zero-Shot Composed Image Retrieval |
| 2F | Area A | P1-2A-025 | Machine learning, optimization and statistical methods | DM304 | Smooth Reward Shaping via Normalized Softplus Functions for Reinforcement Learning |
| 2F | Area A | P1-2A-026 | Machine learning, optimization and statistical methods | DM605 | Learning to Aggregate Rankings: A Self-Supervised Transformer for Kemeny Consensus |
| 2F | Area A | P1-2A-027 | Machine learning, optimization and statistical methods | DM1544 | Zero-Sum Set Transformer Neural Processes |
| 2F | Area A | P1-2A-028 | Machine learning, optimization and statistical methods | DM432 | FedAsym: Modality Asymmetric Federated Cross Modal Representation Mining from Heterogeneous Image Text Data |
| 2F | Area A | P1-2A-029 | Machine learning, optimization and statistical methods | DM575 | Imputation as an Information Bottleneck: Direct Mask-Conditioned Forecasting for Missing Time Series |
| 2F | Area A | P1-2A-030 | Machine learning, optimization and statistical methods | DM622 | FoMo: Language-Aligned Learning for Zero-Shot and Few-Shot Tabular Inference |
| 2F | Area B | P1-2B-031 | Machine learning, optimization and statistical methods | DM717 | Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection |
| 2F | Area B | P1-2B-032 | Machine learning, optimization and statistical methods | DM1894 | DBM-Bid: Dual-Branch Modulated Bidding for Offline Constrained Auto-Bidding |
| 2F | Area B | P1-2B-033 | Machine learning, optimization and statistical methods | DM394 | UniCom: A Unified Framework for Community Search and Detection via Transfer Learning |
| 2F | Area B | P1-2B-034 | Machine learning, optimization and statistical methods | DM1949 | ISO-UNet: A Climate-State Conditioned Regional Expert Network for Water Isotope Field Regression |
| 2F | Area B | P1-2B-035 | Applied Track: Industrial, financial and decision intelligence | DM380 | TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation |
| 2F | Area B | P1-2B-036 | Applied Track: Industrial, financial and decision intelligence | DM682 | Spacetime-GR: A Spacetime-aware Generative Model for Large-scale Online POI Recommendation |
| 2F | Area B | P1-2B-037 | Applied Track: Industrial, financial and decision intelligence | DM1061 | Robust Convex Biclustering |
| 2F | Area B | P1-2B-038 | Applied Track: Industrial, financial and decision intelligence | DM1107 | DLRFusion: Degradation-Oriented Region Localization and Restoration for Infrared-Visible Image Fusion |
| 2F | Area B | P1-2B-039 | Applied Track: Industrial, financial and decision intelligence | DM1144 | Broadly Applicable Water Level Detection via Adaptive Distribution Prediction |
| 2F | Area B | P1-2B-040 | Applied Track: Industrial, financial and decision intelligence | DM1260 | TUMTraf SCEM: Spatiotemporal Conflict Event Mining from Traffic Digital Twins with Contrastive Reasoning |
| 2F | Area B | P1-2B-041 | Applied Track: Industrial, financial and decision intelligence | DM1336 | Accuracy Is Not Service: A Decision-Aware Benchmark for Intermittent-Demand Forecasting |
| 2F | Area B | P1-2B-042 | Applied Track: Industrial, financial and decision intelligence | DM1432 | FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment |
| 2F | Area B | P1-2B-043 | Applied Track: Industrial, financial and decision intelligence | DM1408 | A Generation-to-Application Framework for Semantic ID Collision in Industrial Generative Recommendation |
| 2F | Area B | P1-2B-044 | Applied Track: Industrial, financial and decision intelligence | DM1902 | Breath-Dx: A Time Series Classification Benchmark for Disease Screening with eNose |
| 2F | Area B | P1-2B-045 | Applied Track: Recommendation, security and operational intelligence II | DM291 | MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling |
| 2F | Area B | P1-2B-046 | Applied Track: Recommendation, security and operational intelligence II | DM557 | Transition Path Diffusion for Protein Reactive Trajectories |
| 2F | Area B | P1-2B-047 | Applied Track: Recommendation, security and operational intelligence II | DM2022 | KPI-Aware Multimodal Anomaly Detection for 5G and Open RAN Telemetry |
| 2F | Area B | P1-2B-048 | Applied Track: Recommendation, security and operational intelligence II | DM2026 | SemMark: Robust Large Language Model Watermarking via Semantic Chain-Binding |
| 2F | Area B | P1-2B-049 | Applied Track: Recommendation, security and operational intelligence II | DM2092 | SpectraExpert: Expert-Like Reasoning Agent for Spectrum-Based Molecular Identification |
| 2F | Area B | P1-2B-050 | Applied Track: Recommendation, security and operational intelligence II | DM2124 | PortBench: A Dual-Protocol Benchmark for Compositional Numerical Reasoning in Port Operations |
| 2F | Area B | P1-2B-051 | Applied Track: Recommendation, security and operational intelligence II | DM700 | LDP-ETS: Event-Based Trajectory Synthesis under Local Differential Privacy |
| 2F | Area B | P1-2B-052 | Applied Track: Recommendation, security and operational intelligence II | DM1003 | AMC-GNN: Adaptive Mixed-Curvature Graph Neural Networks for Fraud Detection |
| 2F | Area B | P1-2B-053 | Applied Track: Recommendation, security and operational intelligence II | DM1995 | Multi-Modal Causal Disentanglement for Multi-Domain Sequential Audio Recommendation |
| 2F | Area B | P1-2B-054 | Novel applications and generative models | DM1813 | When a High Score Is an Illusion: Certifying Genuine versus Repackaged Forecasting Skill |
| 2F | Area B | P1-2B-055 | Novel applications and generative models | DM251 | Timescale-Disentangled Generative Models of Protein Dynamics |
| 2F | Area B | P1-2B-056 | Novel applications and generative models | DM392 | ToDi: TextOmics-Guided Diffusion for Hit-like Molecular Generation |
| 2F | Area B | P1-2B-057 | Novel applications and generative models | DM749 | KnowStroke: Prior-Guided Task-Decoupled Graph Learning for Joint Stroke Complication Prediction |
| 2F | Area B | P1-2B-058 | Novel applications and generative models | DM827 | FlowShield: cryptocurrency anti-money laundering with transaction semantics parsing and fund flow tracking |
| 2F | Area B | P1-2B-059 | Novel applications and generative models | DM897 | Uncovering Vulnerabilities in Graph Fraud Detection Models Using Conditional Diffusion-Driven Conspiracy Attacks |
| 2F | Area B | P1-2B-060 | Novel applications and generative models | DM1130 | PTSD: A Plug-and-Play Multi-Source Collaborative Self-Distillation for U-shaped Networks |
| 2F | Area B | P1-2B-061 | Novel applications and generative models | DM1786 | Market-State-Aware Risk-Budgeted Distributional Residual Hedging for Option Hedging |
| 2F | Area B | P1-2B-062 | LLM-driven data mining and retrieval II | DM2128 | CASCADE: Constraint-Aware Scaffolded Decomposition for Logical Anomaly Detection |
| 2F | Area B | P1-2B-063 | LLM-driven data mining and retrieval II | DM646 | Separating the Softmax Denominator Unlocks Prefix-Based Evidence Injection for Frozen LLMs |
| 2F | Area B | P1-2B-064 | LLM-driven data mining and retrieval II | DM1074 | Structure Attribute Seesaw: Conflict Aware Embedding Decoupling in Attributed Graph Clustering |
| 2F | Area B | P1-2B-065 | LLM-driven data mining and retrieval II | DM1727 | BoyueSQL: Knowledge-Graph-Grounded NL2SQL for Local Enterprise Database Querying |
| 2F | Area B | P1-2B-066 | LLM-driven data mining and retrieval II | DM1744 | SocioAlign: Efficient Social Media User Simulation Via Target-Conditioned Behavioral Policy Learning |
| 2F | Area B | P1-2B-067 | LLM-driven data mining and retrieval II | DM1896 | Hierarchical Multi-view Embedding Transformation for Legal Case Retrieval |
| 2F | Area B | P1-2B-068 | LLM-driven data mining and retrieval II | DM362 | Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models |
| 2F | Area B | P1-2B-069 | LLM-driven data mining and retrieval II | DM997 | Efficient Manipulation of Directed Structural Graph Clustering via Triangle-Aware Indexing |
| 2F | Area B | P1-2B-070 | Recommendation, adaptation and spatiotemporal modeling II | DM1736 | FDER: Frequency-Decoupled Enhanced Retrieval for Long-term Time Series Forecasting |
| 2F | Area B | P1-2B-071 | Recommendation, adaptation and spatiotemporal modeling II | DM364 | TransDyn: Transformer-Driven Modeling of Resolution-Invariant Financial Temporal Dynamics Under Sampling-Induced Distribution Shift |
| 2F | Area B | P1-2B-072 | Recommendation, adaptation and spatiotemporal modeling II | DM1644 | LQ-Rec: Late Quantization for Sequential Recommendation |
| 2F | Area B | P1-2B-073 | Recommendation, adaptation and spatiotemporal modeling II | DM1111 | MUSES: A Multi-source Unified Framework with LLM-based Semantic Gated Enhancement for Sequential Recommendation |
| 2F | Area B | P1-2B-074 | Recommendation, adaptation and spatiotemporal modeling II | DM1381 | Empowering Compact LLMs with Fusion of Layer-wise Exits for Recommendation |
| 2F | Area B | P1-2B-075 | Recommendation, adaptation and spatiotemporal modeling II | DM1570 | Residual-Guided and Diversity-Aware Multi-Source Selection for Spatio-Temporal Transfer Forecasting |
| 2F | Area B | P1-2B-076 | Recommendation, adaptation and spatiotemporal modeling II | DM1784 | S2MEN: A Scale-Specialized Mixture-of-Expert Network for Time Series Forecasting |
| 2F | Area B | P1-2B-077 | Recommendation, adaptation and spatiotemporal modeling II | DM1312 | ALeSeC: Adaptive Lexico-Semantic Collaboration Enhanced Iterative Query Rewriting for Information Retrieval |
| 3F | Area A | P1-3A-001 | Machine learning and statistical methods | DM1072 | PaSta: Noisy Node Classification with Partial Label Learning |
| 3F | Area A | P1-3A-002 | Machine learning and statistical methods | DM1278 | Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent |
| 3F | Area A | P1-3A-003 | Machine learning and statistical methods | DM1319 | FFE-FRCN: A Frequency Feature Enhanced Few-shot Learning Approach for Object Detection in Microscopic Images |
| 3F | Area A | P1-3A-004 | Machine learning and statistical methods | DM1438 | Escaping the Mirror Trap: Parity-Harmonized Flow Matching on Riemannian Manifolds for Peptide Design |
| 3F | Area A | P1-3A-005 | Machine learning and statistical methods | DM1815 | Learning Task-Conditioned Distributional Initializers for Variational Quantum Algorithms |
| 3F | Area A | P1-3A-006 | Machine learning and statistical methods | DM1964 | Local Density-Refined Granular Ball-Based Label Augmentation for Crowdsourcing |
| 3F | Area A | P1-3A-007 | Machine learning and statistical methods | DM1989 | Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack |
| 3F | Area A | P1-3A-008 | Machine learning and statistical methods | DM2140 | Reliability-Guided Pseudo-Label Learning and Prototype Alignment for Domain-Adaptive Colorectal Segmentation |
| 3F | Area A | P1-3A-009 | Heterogeneous data mining: multimodal and temporal learning | DM909 | ECMSA: Entropy-Constrained Dual Alignment for Multimodal Sentiment Analysis |
| 3F | Area A | P1-3A-010 | Heterogeneous data mining: multimodal and temporal learning | DM935 | PASTDD:Periodic-Aperiodic Spatial-Temporal Dependency Disentangling for Traffic Forecasting |
| 3F | Area A | P1-3A-011 | Heterogeneous data mining: multimodal and temporal learning | DM577 | Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement |
| 3F | Area A | P1-3A-012 | Heterogeneous data mining: multimodal and temporal learning | DM1718 | PGMNER: Polarization-Guided Multimodal Named Entity Recognition with Partial Optimal Transport |
| 3F | Area A | P1-3A-013 | Heterogeneous data mining: multimodal and temporal learning | DM1760 | SHAPE: Shift-Aware Preference Alignment for Probabilistic Time Series Forecasting |
| 3F | Area A | P1-3A-014 | Heterogeneous data mining: multimodal and temporal learning | DM1770 | DACNet: Distilled and Aligned Cyclemap Network for Efficient Time Series Forecasting |
| 3F | Area A | P1-3A-015 | Heterogeneous data mining: multimodal and temporal learning | DM1944 | Polarity-Asymmetric Structural Calibration for Link Sign Prediction |
| 3F | Area A | P1-3A-016 | Heterogeneous data mining: multimodal and temporal learning | DM1955 | HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation |
| 3F | Area A | P1-3A-017 | Foundations, graphs and learning methods | DM1553 | Prototype-Constrained Imputation with Dual Contrastive Learning for Incomplete Multi-View Clustering |
| 3F | Area A | P1-3A-018 | Foundations, graphs and learning methods | DM1125 | Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment |
| 3F | Area A | P1-3A-019 | Foundations, graphs and learning methods | DM1549 | ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment |
| 3F | Area A | P1-3A-020 | Foundations, graphs and learning methods | DM435 | Preference-Constrained Contrastive Adapters for LLM-based Dynamic Link Prediction |
| 3F | Area A | P1-3A-021 | Foundations, graphs and learning methods | DM954 | TSMini: A Simple Yet Highly Effective Trajectory Similarity Learning Model |
| 3F | Area A | P1-3A-022 | Foundations, graphs and learning methods | DM1160 | RECOS: Scalable Exact Simplet-Orbit Counting for Higher-Order Networks |
| 3F | Area A | P1-3A-023 | Foundations, graphs and learning methods | DM1767 | Lightweight Out-of-Distribution ANNS via LeanVec-Guided Subspace Collision |
| 3F | Area A | P1-3A-024 | Foundations, graphs and learning methods | DM1279 | HyperGT: Efficient and Effective Graph Transformer via Multi-View Fusion of Super-Nodes |
| 3F | Area A | P1-3A-025 | Heterogeneous data mining: spatiotemporal and representation learning | DM326 | GCDE:Understanding Group Cognition through Explainable Diffusion-Based Diagnosis Model |
| 3F | Area A | P1-3A-026 | Heterogeneous data mining: spatiotemporal and representation learning | DM347 | A Spatial-Temporal Distribution Shift Aware Mixture-of-Experts Model for Urban Atmospheric Forecasting |
| 3F | Area A | P1-3A-027 | Heterogeneous data mining: spatiotemporal and representation learning | DM504 | DKERC: Entropy-driven and Signed Dynamic Knowledge Selection Framework for Emotion Recognition in Conversation |
| 3F | Area A | P1-3A-028 | Heterogeneous data mining: spatiotemporal and representation learning | DM901 | PriMoTraj: Motion-Prior Gating for Lightweight GPS-Derived Trajectory Forecasting |
| 3F | Area A | P1-3A-029 | Heterogeneous data mining: spatiotemporal and representation learning | DM1225 | Optimal Long-distance Route Query for Electric Vehicles |
| 3F | Area A | P1-3A-030 | Heterogeneous data mining: spatiotemporal and representation learning | DM1228 | SatGuide: A POI-Anchored Vision-Language Learning Framework for Robust Satellite Images-based Urban Socioeconomic Prediction |
| 3F | Area A | P1-3A-031 | Heterogeneous data mining: spatiotemporal and representation learning | DM1755 | Temporal Heterogeneous Graph Tokenization |
| 3F | Area A | P1-3A-032 | Heterogeneous data mining: spatiotemporal and representation learning | DM1189 | Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation |
| 3F | Area A | P1-3A-033 | Recommendation and forecasting | DM266 | An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems |
| 3F | Area A | P1-3A-034 | Recommendation and forecasting | DM813 | PatchRAFT: Patch-Level Selective Retrieval-Augmented Forecasting for Time Series |
| 3F | Area A | P1-3A-035 | Recommendation and forecasting | DM1048 | User Representation via Cross Multi-source Behavior Pre-training for Mobile Games |
| 3F | Area A | P1-3A-036 | Recommendation and forecasting | DM1412 | EviRank: Evidence-Grounded Reviewer Recommendation via Dynamic Query-Specific Profiles |
| 3F | Area A | P1-3A-037 | Recommendation and forecasting | DM1980 | Retrieval-Augmented Preference Flow for Cold-Start Cross-Domain Recommendation |
| 3F | Area A | P1-3A-038 | Recommendation and forecasting | DM2082 | Theoretically Sound Item Similarity Measures for Recommender Systems |
| 3F | Area A | P1-3A-039 | Recommendation and forecasting | DM410 | Controllable Generative Recommendation via Guided Token Refinement |
| 3F | Area A | P1-3A-040 | Recommendation and forecasting | DM680 | Explain, Then Forget: Recommendation Unlearning under Asymmetric Access Constraint |
| 3F | Area B | P1-3B-041 | Heterogeneous data mining and systems | DM1201 | FedLoSD: Federated Log-State Dynamics for Nonnegative Distributed Time-Series Forecasting |
| 3F | Area B | P1-3B-042 | Heterogeneous data mining and systems | DM1314 | Is Text Always Helping? A Systematic Evaluation and Enhanced Fusion Strategy for Multimodal Time Series Forecasting |
| 3F | Area B | P1-3B-043 | Heterogeneous data mining and systems | DM1402 | Decoupling Knowledge from Poison: FedRHD for Robust Federated Learning under Extreme Data Heterogeneity |
| 3F | Area B | P1-3B-044 | Heterogeneous data mining and systems | DM1437 | Divide and Conquer: Federated Prompt Learning via Dual-Stream Prompts for Vision-Language Models |
| 3F | Area B | P1-3B-045 | Heterogeneous data mining and systems | DM1672 | LAPT: Lineage-aware Dynamic Community Detection via Adaptive Prototype Transport |
| 3F | Area B | P1-3B-046 | Heterogeneous data mining and systems | DM1822 | Not All Clients Value the Same Meta-Path: Schema-Decoupled Federated Heterogeneous Graph Completion |
| 3F | Area B | P1-3B-047 | Heterogeneous data mining and systems | DM1882 | Spatiotemporal Brain Hypergraph Contrastive Learning |
| 3F | Area B | P1-3B-048 | Heterogeneous data mining and systems | DM2002 | HiMamba: A Hierarchical State Space Framework for Asymmetric Multimodal Data Mining in Clinical Assessment |
| 3F | Area B | P1-3B-049 | LLM-driven data mining and retrieval I | DM1214 | Motif-derived Decoupled Graph Clustering with Multi-task Self-supervised Prompt |
| 3F | Area B | P1-3B-050 | LLM-driven data mining and retrieval I | DM736 | From Natural-Language Hypotheses to Verified Data-Mining Discoveries |
| 3F | Area B | P1-3B-051 | LLM-driven data mining and retrieval I | DM1516 | Pre-Execution Binary Routing Between Program-Generation and Language Modules for Efficient Table Reasoning |
| 3F | Area B | P1-3B-052 | LLM-driven data mining and retrieval I | DM924 | MULM: Multilingual LoRA Backdoor Defense via Multi-View Drift Mining |
| 3F | Area B | P1-3B-053 | LLM-driven data mining and retrieval I | DM522 | REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving |
| 3F | Area B | P1-3B-054 | LLM-driven data mining and retrieval I | DM1409 | Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings |
| 3F | Area B | P1-3B-055 | LLM-driven data mining and retrieval I | DM1860 | Physics Simulation on General Geometries via Physical Partitioning and Laplacian Spectral Modeling |
| 3F | Area B | P1-3B-056 | LLM-driven data mining and retrieval I | DM1659 | UBA-ORL: Unlearning-Activated Backdoor Attacks on Offline Reinforcement Learning |
| 3F | Area B | P1-3B-057 | Applied Track: Sustainability, society and public services | DM280 | ExpEva-FCHD: Expert-Diagnostic-Data-Grounded LLM Assistance for Fetal Congenital Heart Disease Screening in Low-Resource Care |
| 3F | Area B | P1-3B-058 | Applied Track: Sustainability, society and public services | DM1595 | Carbon-Credit Methodology Selection as Retrieval-as-Classification: Evaluating General-Purpose Language Models in a Registry Document Corpus |
| 3F | Area B | P1-3B-059 | Applied Track: Sustainability, society and public services | DM1602 | From Permutations to Plans: A Controlled Study of Supervised Construction for Fleet-Constrained Vehicle Routing |
| 3F | Area B | P1-3B-060 | Applied Track: Sustainability, society and public services | DM1613 | Dual-Branch Synergistic Learning for Coordinated Action Quality Assessment in Pair Skating |
| 3F | Area B | P1-3B-061 | Applied Track: Sustainability, society and public services | DM1619 | Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains |
| 3F | Area B | P1-3B-062 | Applied Track: Sustainability, society and public services | DM1719 | A Deployed LLM-Based System for Urban Employee Pension Fund Actuarial Analysis |
| 3F | Area B | P1-3B-063 | Applied Track: Sustainability, society and public services | DM1774 | Cross-Basin Flood Forecasting under Asymmetric Data: From Labeled Gauges to Label-Free Deployment |
| 3F | Area B | P1-3B-064 | Applied Track: Sustainability, society and public services | DM1883 | UE-E2V: A Dataset Toward Early Violence Recognition in School Environments |
| 3F | Area B | P1-3B-065 | Applied Track: Recommendation, security and operational intelligence I | DM1927 | Multi-View Self-Consistency Decoding for Ancient Stele Inscriptions OCR |
| 3F | Area B | P1-3B-066 | Applied Track: Recommendation, security and operational intelligence I | DM286 | Enhancing Group Recommendation with Memory-Augmented Reasoning in LLM Agent |
| 3F | Area B | P1-3B-067 | Applied Track: Recommendation, security and operational intelligence I | DM2134 | Motivation-Driven Multi-Persona Agentic Simulation for Livestreaming Sales Forecasting |
| 3F | Area B | P1-3B-068 | Applied Track: Recommendation, security and operational intelligence I | DM2139 | Exploring Weaknesses of Generative Image Watermarks against Latent Frequency Masking |
| 3F | Area B | P1-3B-069 | Applied Track: Recommendation, security and operational intelligence I | DM2207 | Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction |
| 3F | Area B | P1-3B-070 | Applied Track: Recommendation, security and operational intelligence I | DM744 | Membership is Ownership: A Robust Ownership Verification Framework for Diffusion Models |
| 3F | Area B | P1-3B-071 | Applied Track: Recommendation, security and operational intelligence I | DM1015 | KMER: A Heterogeneous Multimodal Benchmark for Knowledge-Conditioned Educational Reasoning |
| 3F | Area B | P1-3B-072 | Applied Track: Recommendation, security and operational intelligence I | DM1180 | The Held-Out Season Is Not Enough: Auditing Player-Identity Leakage in Team-Performance Benchmarks |
| 3F | Area B | P1-3B-073 | Applied Track: Healthcare, multimodal sensing and security | DM336 | CP-Network: Content-Preserving Style Transfer for Diverse Medical Images with Dynamic Weights |
| 3F | Area B | P1-3B-074 | Applied Track: Healthcare, multimodal sensing and security | DM346 | Posterior Traffic State Mining for Latency-Sensitive Task Offloading in Computing Power Network |
| 3F | Area B | P1-3B-075 | Applied Track: Healthcare, multimodal sensing and security | DM734 | Beyond Visual Encoder Fine-tuning: A Generalizable Data Mining Paradigm for Multimodal Chinese Cued Speech Recognition |
| 3F | Area B | P1-3B-076 | Applied Track: Healthcare, multimodal sensing and security | DM773 | FreshRetailNet-LT: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail |
| 3F | Area B | P1-3B-077 | Applied Track: Healthcare, multimodal sensing and security | DM790 | PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection |
| 3F | Area B | P1-3B-078 | Applied Track: Healthcare, multimodal sensing and security | DM835 | In-Hospital Stroke Risk-State Classification from PPG-Derived Hemodynamic Features |
| 3F | Area B | P1-3B-079 | Applied Track: Healthcare, multimodal sensing and security | DM996 | Sheaf-PAFPN: Vector-Valued Sheaf Theory for Robust Sonar Target Detection |
| 3F | Area B | P1-3B-080 | Applied Track: Healthcare, multimodal sensing and security | DM1477 | FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming |
| 3F | Area C | P1-3C-081 | Systems, platforms and time-evolving networks | DM884 | BAPQ: Bandwidth-Aware Structured Pruning and Adaptive Quantization for Fast Federated Learning |
| 3F | Area C | P1-3C-082 | Systems, platforms and time-evolving networks | DM1079 | Parameters vs. Context: TRACE Fine-Tuning for Robust Retrieval-Augmented Generation |
| 3F | Area C | P1-3C-083 | Systems, platforms and time-evolving networks | DM1515 | Input-Adaptive Depth Routing in Pretrained Large Language Models with Mixture of Layers |
| 3F | Area C | P1-3C-084 | Systems, platforms and time-evolving networks | DM424 | Task-Aware Federated Fine-Tuning for MoE-based Large Language Models |
| 3F | Area C | P1-3C-085 | Systems, platforms and time-evolving networks | DM645 | Influence-Oriented Personalized Federated Learning |
| 3F | Area C | P1-3C-086 | Systems, platforms and time-evolving networks | DM780 | FedWeave: Federated Parametric RAG for Multi-Evidence Reasoning |
| 3F | Area C | P1-3C-087 | Systems, platforms and time-evolving networks | DM1078 | CbvFL: Communication-Budgeted and Verifiable Federated Learning for Educational Data Mining |
| 3F | Area C | P1-3C-088 | Systems, platforms and time-evolving networks | DM1545 | AICAP: Intent-Centric Graph Analytics for Risk-Aware Atomic Cross-Chain Data Routing |
| 3F | Area C | P1-3C-089 | Systems, platforms and time-evolving networks | DM2023 | A Carbon-Aware Serving Framework for AI Web Services |
| 3F | Area C | P1-3C-090 | Systems, platforms and time-evolving networks | DM2168 | Leaderboard Manipulation: Poisoning LDP Frequent Itemset Mining at Minimal Cost |
| 3F | Area C | P1-3C-091 | Recommendation, adaptation and spatiotemporal modeling I | DM2129 | FreqMAG: Magnitude-Aware Grouping and Alignment in Frequency Domain for Multivariate Time-Series Anomaly Detection |
| 3F | Area C | P1-3C-092 | Recommendation, adaptation and spatiotemporal modeling I | DM379 | MAGMA: Mamba with Adaptive Gated Modeling and Agent Denoising for Sequential Recommendation |
| 3F | Area C | P1-3C-093 | Recommendation, adaptation and spatiotemporal modeling I | DM758 | TAST: Target-Anchored Structured Transfer for Cross-Domain Recommendation |
| 3F | Area C | P1-3C-094 | Recommendation, adaptation and spatiotemporal modeling I | DM764 | MechAdapt: Mechanism-Aware Selective Adaptation for Online Time Series Forecasting |
| 3F | Area C | P1-3C-095 | Recommendation, adaptation and spatiotemporal modeling I | DM815 | MedRuleAgents: A Rule-Space-Grounded Multi-Agent Collaboration Framework for Clinical Therapy Recommendation |
| 3F | Area C | P1-3C-096 | Recommendation, adaptation and spatiotemporal modeling I | DM971 | DeTTAM: Decoupled Test-Time Adaptation for Multimodal Recommendation |
| 3F | Area C | P1-3C-097 | Recommendation, adaptation and spatiotemporal modeling I | DM1067 | DTG-RAG: Dual-Track Graph Retrieval-Augmented Generation for Zero-Shot Recommendation |
| 3F | Area C | P1-3C-098 | Recommendation, adaptation and spatiotemporal modeling I | DM1140 | SAGE: Semantic-Aware Tokenization with Ranking Guidance for Generative Recommendation |
| 3F | Area C | P1-3C-099 | Recommendation, adaptation and spatiotemporal modeling I | DM1365 | Beyond Static Temporal Structures: Discovering Temporal Periodicity for Sequential Recommendation |
| 3F | Area C | P1-3C-100 | Recommendation, adaptation and spatiotemporal modeling I | DM340 | Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs |
| Floor | Area | No. | Session | Paper ID | Title |
|---|---|---|---|---|---|
| 2F | Area A | P2-2A-001 | Foundations, anomaly detection and graph methods | DM230 | Theoretical Grounds for Popularity Bias in Two-Tower Models Trained with Cosine-Based Loss |
| 2F | Area A | P2-2A-002 | Foundations, anomaly detection and graph methods | DM334 | Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data |
| 2F | Area A | P2-2A-003 | Foundations, anomaly detection and graph methods | DM829 | When Marginals Do Not Change: Sparse Signed-Kernel Detection for Hidden Dependence Anomalies |
| 2F | Area A | P2-2A-004 | Foundations, anomaly detection and graph methods | DM953 | Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection |
| 2F | Area A | P2-2A-005 | Foundations, anomaly detection and graph methods | DM1157 | Deep Synchronisation-based Clustering |
| 2F | Area A | P2-2A-006 | Foundations, anomaly detection and graph methods | DM1188 | Scalable Density-based Clustering via Density-aware Propagation on Approximate kNN Graphs |
| 2F | Area A | P2-2A-007 | Foundations, anomaly detection and graph methods | DM1271 | Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing |
| 2F | Area A | P2-2A-008 | Foundations, anomaly detection and graph methods | DM1734 | HiPACC Tree: A Probabilistic Approach for Hierarchical Quantification |
| 2F | Area A | P2-2A-009 | Foundations, anomaly detection and graph methods | DM1825 | Adaptive Multi-Branching for Shallow Decision Tree Induction |
| 2F | Area A | P2-2A-010 | Foundations, anomaly detection and graph methods | DM750 | VulRel-RGCN: Vulnerability-Relation-Aware Graph Neural Network for Cross-Dataset Reentrancy Detection in Smart Contracts |
| 2F | Area A | P2-2A-011 | Foundations, anomaly detection and graph methods | DM1789 | RT-GNN: A Graph Neural Network based on Node Risk-awareness and Transfer Strategies |
| 2F | Area A | P2-2A-012 | Foundations, anomaly detection and graph methods | DM495 | Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics |
| 2F | Area A | P2-2A-013 | Foundations, ML/DL and statistical methods | DM374 | Solving Maximum Strong Triadic Closure and Cluster Deletion by Integer Programming |
| 2F | Area A | P2-2A-014 | Foundations, ML/DL and statistical methods | DM437 | Mining Input-Inherent Context: A Parameter-Free Kernel Attention Mechanism for CNNs |
| 2F | Area A | P2-2A-015 | Foundations, ML/DL and statistical methods | DM657 | Graph-Coupled Causal Bayesian Optimization |
| 2F | Area A | P2-2A-016 | Foundations, ML/DL and statistical methods | DM828 | One-versus-rest Worker Modeling-based Label Completion for Crowdsourcing |
| 2F | Area A | P2-2A-017 | Foundations, ML/DL and statistical methods | DM1486 | Sliding Window Attention Training for Efficient Large Language Models |
| 2F | Area A | P2-2A-018 | Foundations, ML/DL and statistical methods | DM1850 | Structural Conditional Independence Test via Neural Quantile Resolution |
| 2F | Area A | P2-2A-019 | Foundations, ML/DL and statistical methods | DM2063 | OTDE: Optimal Transport-Based Distance Estimation for High-Dimensional Approximate Nearest Neighbor Search |
| 2F | Area A | P2-2A-020 | Foundations, ML/DL and statistical methods | DM2095 | Rethinking Impurity Measures: Curvature as the Hidden Driver of Split Selection in Streaming Decision Trees |
| 2F | Area A | P2-2A-021 | Foundations, ML/DL and statistical methods | DM1154 | Learning Sparse Decision Trees via Transformer Variational Auto-Encoders |
| 2F | Area A | P2-2A-022 | Foundations, ML/DL and statistical methods | DM1328 | Interval-valued SHAP in Tree-Based Models |
| 2F | Area A | P2-2A-023 | Foundations, ML/DL and statistical methods | DM1428 | Entropic Flow Network for Bayesian Network Structure Learning |
| 2F | Area A | P2-2A-024 | Foundations, ML/DL and statistical methods | DM408 | FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation |
| 2F | Area A | P2-2A-025 | Heterogeneous data mining and multimodal learning I | DM709 | Multi-Table Entity Matching via LLM-Synthesized Supervision and Semantic-Aware Scheduler |
| 2F | Area A | P2-2A-026 | Heterogeneous data mining and multimodal learning I | DM1080 | MAB-LDA: Multi-Armed Bandit Guided Gibbs Sampling for Unsupervised Aspect Discovery |
| 2F | Area A | P2-2A-027 | Heterogeneous data mining and multimodal learning I | DM1492 | Collapse-Aware Dynamic Adversarial Domain Adaptation for Cross-City Spatiotemporal Prediction |
| 2F | Area A | P2-2A-028 | Heterogeneous data mining and multimodal learning I | DM492 | Toward Multimodal Graph foundation model：a spectral based approach |
| 2F | Area A | P2-2A-029 | Heterogeneous data mining and multimodal learning I | DM770 | HARLM: Heterogeneous Association-aware and Reinforcement Learning for Multiplex Influence Maximization |
| 2F | Area A | P2-2A-030 | Heterogeneous data mining and multimodal learning I | DM444 | From Discrete Waypoints to Continuous Coordination: Spatio-Temporal Trajectory Mining for Multi-Agent Cooperative Pursuit |
| 2F | Area B | P2-2B-031 | Heterogeneous data mining and multimodal learning I | DM786 | Reliability-aware Robust Fine-Grained Cross-Modal Semantic Correlation Mining and Representation Learning under Noisy Correspondence |
| 2F | Area B | P2-2B-032 | Heterogeneous data mining and multimodal learning I | DM803 | Graph-Guided LLM Reasoning for Incident Prediction Over Multi-Source Data Streams |
| 2F | Area B | P2-2B-033 | Heterogeneous data mining and multimodal learning I | DM1629 | GRASP: Authority-Grounded Structural Mining for LLM Reasoning over a Cybersecurity HIN |
| 2F | Area B | P2-2B-034 | Heterogeneous data mining and multimodal learning I | DM400 | BridgeSQL: Bridging the Synthesis-Execution Gap in Text-to-SQL with Execution-Grounded Data Curation |
| 2F | Area B | P2-2B-035 | Heterogeneous data mining and multimodal learning I | DM2071 | SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting |
| 2F | Area B | P2-2B-036 | Heterogeneous data mining and multimodal learning I | DM762 | Multi-Scale Guided Diffusion-Enhanced Graph Learning for Multimodal Recommendation |
| 2F | Area B | P2-2B-037 | LLM-driven data mining and novel applications I | DM1801 | Lightweight Graph-Free Condensation With MLP-Driven Optimization |
| 2F | Area B | P2-2B-038 | LLM-driven data mining and novel applications I | DM1042 | Uncertainty-aware Dependency-based Anomaly Detection with TabPFN |
| 2F | Area B | P2-2B-039 | LLM-driven data mining and novel applications I | DM242 | RIVER: Reverse Inference Via Effect Reconstruction for Perturbation Target Identification |
| 2F | Area B | P2-2B-040 | LLM-driven data mining and novel applications I | DM296 | HISR: Hierarchical Invariant Sketch Resolution for Adaptive Network Traffic Measurement |
| 2F | Area B | P2-2B-041 | LLM-driven data mining and novel applications I | DM471 | Distribution Enhanced Stock Price Forecasting using Endogenous and Exogenous Shift Calibration |
| 2F | Area B | P2-2B-042 | LLM-driven data mining and novel applications I | DM889 | HC-RAG: Evidence-Centric Retrieval-Augmented Generation over Heterogeneous Financial Filings |
| 2F | Area B | P2-2B-043 | LLM-driven data mining and novel applications I | DM1873 | Learning to Model Optimization Problems from Solver Outcomes |
| 2F | Area B | P2-2B-044 | LLM-driven data mining and novel applications I | DM1966 | FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment |
| 2F | Area B | P2-2B-045 | LLM-driven data mining and novel applications I | DM2206 | Capturing Coordinated Propagation Signals via Hypergraph Contrastive Learning for Fake News Detection |
| 2F | Area B | P2-2B-046 | LLM-driven data mining and novel applications I | DM252 | Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols |
| 2F | Area B | P2-2B-047 | LLM-driven data mining and novel applications I | DM1714 | Physics-Guided Temporal Causal Discovery under Distribution Shift |
| 2F | Area B | P2-2B-048 | LLM-driven data mining and novel applications I | DM1970 | Lesion-Aware Attention for Mammography Segmentation with Heterogeneous Supervision |
| 2F | Area B | P2-2B-049 | Modeling, recommendation and LLM methods | DM313 | Preference-Driven Contrastive Learning for Bundle Recommendation |
| 2F | Area B | P2-2B-050 | Modeling, recommendation and LLM methods | DM463 | CaST-POI: Candidate-Conditioned Spatiotemporal Ranking for Next POI Recommendation |
| 2F | Area B | P2-2B-051 | Modeling, recommendation and LLM methods | DM483 | Causal Masking Lowers Intrinsic Dimension in Full-Vocabulary Sequential Recommendation: Evidence from a Single-Variable Attention Ablation |
| 2F | Area B | P2-2B-052 | Modeling, recommendation and LLM methods | DM565 | Filling the Knowledge Gap: LLM-Authored Rules and Rule-Induced Graphs for Anomaly Detection |
| 2F | Area B | P2-2B-053 | Modeling, recommendation and LLM methods | DM566 | DAC-Agent: Decoupling Dominant Patterns and Residual Interests via Neural-Agentic Collaboration |
| 2F | Area B | P2-2B-054 | Modeling, recommendation and LLM methods | DM638 | MemRec: Atkinson-Shiffrin Memory-Guided Course Recommendation with Large Language Models |
| 2F | Area B | P2-2B-055 | Modeling, recommendation and LLM methods | DM1212 | Local Bayes Advantage for Selective Retrieval in Tabular In-Context Learning |
| 2F | Area B | P2-2B-056 | Modeling, recommendation and LLM methods | DM1269 | ExSBR: Enhancing Session-based Recommendations with Insightful Explanations via Self-Refinement Prompting |
| 2F | Area B | P2-2B-057 | Modeling, recommendation and LLM methods | DM2183 | Temporal Anomalous Community Detection in Agent Memory |
| 2F | Area B | P2-2B-058 | Modeling, recommendation and LLM methods | DM1489 | Neuro-Symbolic Reasoning for Generalizable and Interpretable Zero-Shot Learning |
| 2F | Area B | P2-2B-059 | Modeling, recommendation and LLM methods | DM544 | HOM-Quant: Higher-Order Moment-Driven Mixed-Precision Quantization for Large Language Models |
| 2F | Area B | P2-2B-060 | Modeling, recommendation and LLM methods | DM713 | Hint-Conditioned Knowledge Tracing: A Causal-Inspired View of Context-Dependent Hint Usage |
| 2F | Area B | P2-2B-061 | Modeling, recommendation and LLM methods | DM1581 | GRES: Correlation-Aware One-Shot Pruning of LLMs across Granularities |
| 2F | Area B | P2-2B-062 | Systems, platforms and cyber-physical intelligence | DM863 | Majority-Guided Disentangled Latent Distillation for Imbalanced Time Series Classification |
| 2F | Area B | P2-2B-063 | Systems, platforms and cyber-physical intelligence | DM1112 | SHAPE: Spatial Hyperbolic-Embedding Augmented Pretraining for Estimated Time of Arrival on Obfuscated Trajectories |
| 2F | Area B | P2-2B-064 | Systems, platforms and cyber-physical intelligence | DM1678 | Hot-Start Graph Ensemble Learning: Tackling Large Networks with Shared Initialization and Multi-Branch Diversification |
| 2F | Area B | P2-2B-065 | Systems, platforms and cyber-physical intelligence | DM892 | FedSAC: Summary-Driven Adaptive Clustered Federated Learning under Mixed Drift and Partial Participation |
| 2F | Area B | P2-2B-066 | Systems, platforms and cyber-physical intelligence | DM994 | FedMOR: Towards Responsible Federated Recommendation via Controllable Personalized Multi-Objective Learning |
| 2F | Area B | P2-2B-067 | Systems, platforms and cyber-physical intelligence | DM1035 | PB-TriHyper: Granularity-Aware Generated Personalized Federated Learning via Parameter-Block Routing |
| 2F | Area B | P2-2B-068 | Systems, platforms and cyber-physical intelligence | DM1046 | Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development |
| 2F | Area B | P2-2B-069 | Systems, platforms and cyber-physical intelligence | DM1413 | OFS: Overlapped Feature Synthesis for Communication-Efficient Federated Learning |
| 2F | Area B | P2-2B-070 | Systems, platforms and cyber-physical intelligence | DM1560 | NeutronMP: Multi-Model Parallelism for Breaking Synchronization Barriers in Distributed GNN Training |
| 2F | Area B | P2-2B-071 | Systems, platforms and cyber-physical intelligence | DM1771 | Fed-RAP: Reliability-Aware Prototype Regulation for Incomplete Multimodal Federated Learning |
| 2F | Area B | P2-2B-072 | Systems, platforms and cyber-physical intelligence | DM2150 | LD-Leiden: Local Parallel Community Detection in Large Dynamic Networks |
| 3F | Area A | P2-3A-001 | Systems, platforms and cyber-physical intelligence | DM2045 | RFTF: Reinforcement Dynamic Client Optimization with Multi-scale Temporal Feature Decoupling for Federated Time Series Forecasting |
| 3F | Area A | P2-3A-002 | Systems, platforms and cyber-physical intelligence | DM1958 | Physics-Preserving Latent Compression for Zero-Shot Resolution Transfer in 3D Turbulence |
| 3F | Area A | P2-3A-003 | ML/DL and statistical methods | DM228 | Reference-Calibrated Residual Auditing for Backdoor Inspection in Time-Series Forecasting |
| 3F | Area A | P2-3A-004 | ML/DL and statistical methods | DM730 | DSRG: Unified Retrosynthesis Prediction via Differentiable Substructure Retrieval and Generative Feedback |
| 3F | Area A | P2-3A-005 | ML/DL and statistical methods | DM778 | Explainable Uncertainty Estimation for Reliable Medical AI |
| 3F | Area A | P2-3A-006 | ML/DL and statistical methods | DM890 | Prior-Calibrated Energy Gating for Knowledge Tracing with Multimodal Semantic Priors |
| 3F | Area A | P2-3A-007 | ML/DL and statistical methods | DM915 | Diffusion Optimized Social Prompt: Adapting Pre-trained Recommenders for Cold-start Users |
| 3F | Area A | P2-3A-008 | ML/DL and statistical methods | DM1337 | FedDual: Robust Federated Learning under Compound Label Corruption and Class Absence |
| 3F | Area A | P2-3A-009 | ML/DL and statistical methods | DM1582 | Building Privacy-Protected and Interpretable Model Surrogates on Synthetic Data |
| 3F | Area A | P2-3A-010 | ML/DL and statistical methods | DM1791 | Domain Bridging: Enabling Adaptation without Peeking at Target Data |
| 3F | Area A | P2-3A-011 | ML/DL and statistical methods | DM1991 | GILoRA: Gradient Interference-Guided LoRA for Mitigating Knowledge Forgetting |
| 3F | Area A | P2-3A-012 | ML/DL and statistical methods | DM2138 | Enriched Dual-View Learning from Crowds |
| 3F | Area A | P2-3A-013 | LLM-driven data mining and novel applications II | DM2181 | Mining Spectral Intervals for Backdoor Vulnerability Analysis in Hyperspectral Image |
| 3F | Area A | P2-3A-014 | ML/DL and statistical methods | DM1751 | MissGNN: Missingness-Guided Graph Neural Network for Feature- and Sample-Aware Imputation |
| 3F | Area A | P2-3A-015 | ML/DL and statistical methods | DM681 | PPDL: A Real-world Industrial User Retention Ratio Forecasting Framework Integrating Physical Priors with Deep Learning |
| 3F | Area A | P2-3A-016 | Applied Track: Finance, security and digital platforms | DM1707 | Event-Driven Causal Discovery for Root Cause Analysis in Semiconductor Fabrication Data Center |
| 3F | Area A | P2-3A-017 | Applied Track: Finance, security and digital platforms | DM1795 | M3-HCF: Multi-Temporal Multi-Treatment Multi-Outcome Hierarchical Causal Framework for Online Games |
| 3F | Area A | P2-3A-018 | Applied Track: Finance, security and digital platforms | DM302 | Large Language Model-Guided Hierarchical Graph Neural Network for Interpretable Brain Network Analysis in Alzheimer’s Disease |
| 3F | Area A | P2-3A-019 | Applied Track: Finance, security and digital platforms | DM309 | Training-Free Normal-Support Score Calibration for Frozen Vision-Language Anomaly Detection |
| 3F | Area A | P2-3A-020 | Applied Track: Finance, security and digital platforms | DM627 | PIGS: Sparse-View Urban Asset Mining with Pretrained Geometry and Promptable Segmentation |
| 3F | Area A | P2-3A-021 | Applied Track: Finance, security and digital platforms | DM880 | Rank-Aware Watermark for Large Language Models |
| 3F | Area A | P2-3A-022 | Applied Track: Finance, security and digital platforms | DM911 | CAST: A Cross-Asset State-Space Trading System for Drawdown Control in Stock Markets |
| 3F | Area A | P2-3A-023 | Applied Track: Finance, security and digital platforms | DM1235 | Unsupervised State Detection with Entropy Regularization for Time Series Data with Application to Virtual AI Teacher |
| 3F | Area A | P2-3A-024 | Applied Track: Finance, security and digital platforms | DM1341 | Phishing URL Detection in webOS Browser with Differentiable Fuzzy-Transformer |
| 3F | Area A | P2-3A-025 | Applied Track: Finance, security and digital platforms | DM1385 | Towards Sustainable and Scalable AutoML for Data Streams: A Multi-Metric Benchmarking Study |
| 3F | Area A | P2-3A-026 | Applied Track: Finance, security and digital platforms | DM689 | BioDistil: Knowledge-Guided Agentic Distillation of Biomedical Question-Answering Corpora for Large Language Models |
| 3F | Area A | P2-3A-027 | Applied Track: Finance, security and digital platforms | DM1447 | Adaptive Bidding via In-Context Reinforcement Learning for Non-Stationary Auctions |
| 3F | Area A | P2-3A-028 | Applied Track: Finance, security and digital platforms | DM1763 | ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks |
| 3F | Area A | P2-3A-029 | Applied Track: Real-world AI in finance, healthcare and industry I | DM741 | Heterogeneous Tabular Self-Supervised Transformer for Asymmetric Data Regime in Engineering: Case Study on Bridge Seismic Vulnerability Assessment |
| 3F | Area A | P2-3A-030 | Applied Track: Real-world AI in finance, healthcare and industry I | DM1614 | Improved Genomic Prediction on Japanese Brown Cattle Tosa Pedigree via Dimensionality Reduction |
| 3F | Area A | P2-3A-031 | Applied Track: Real-world AI in finance, healthcare and industry I | DM1874 | TRAE: Trustworthy Automated ESG Annotation via Multi-Agent Consensus and Confidence Assessment |
| 3F | Area A | P2-3A-032 | Applied Track: Real-world AI in finance, healthcare and industry I | DM1878 | RAIL: Adapting Generative Adversarial Imitation Learning for User Feedback Simulation in OCPC |
| 3F | Area A | P2-3A-033 | Applied Track: Real-world AI in finance, healthcare and industry I | DM1957 | Beyond Canonical Features: Enriching and Systematically Evaluating an Expert Feature Space for Just-in-Time Software Defect Prediction |
| 3F | Area A | P2-3A-034 | Applied Track: Real-world AI in finance, healthcare and industry I | DM2015 | MARCUS: Missing-Aware Region Representation with Contextual Urban Signals for Rent Prediction |
| 3F | Area A | P2-3A-035 | Applied Track: Real-world AI in finance, healthcare and industry I | DM2019 | Verifiable Privacy-Preserving Set Query |
| 3F | Area A | P2-3A-036 | Applied Track: Real-world AI in finance, healthcare and industry I | DM743 | Learning When to Personalize: Query-Type-Aware\\ Playlist Generation Deployed at Scale |
| 3F | Area A | P2-3A-037 | Applied Track: Real-world AI in finance, healthcare and industry I | DM2025 | FlightDiff: Prediction-Guided Diffusion Rectification for Robust Flight-Parameter Forecasting |
| 3F | Area A | P2-3A-038 | Applied Track: Real-world AI in finance, healthcare and industry I | DM2055 | CGSBR: Adaptive Cross-Source Gating for Cold-Start Sequential Bundle Recommendation |
| 3F | Area A | P2-3A-039 | Applied Track: Real-world AI in finance, healthcare and industry I | DM1199 | Climate Transition Stress Testing for Corporate Credit Risk: A Replicable Data-Mining Pipeline Using ESG Risk Scores |
| 3F | Area A | P2-3A-040 | Applied Track: Scientific, industrial and enterprise AI | DM1552 | Graph-Constrained Gradient Boosting for Multi-Source Transport Incident Redundancy Detection |
| 3F | Area B | P2-3B-041 | Applied Track: Scientific, industrial and enterprise AI | DM1680 | Discover then Refine: Mode-Conditioned Scenario Forecasting for District Heating Demand |
| 3F | Area B | P2-3B-042 | Applied Track: Scientific, industrial and enterprise AI | DM1859 | Action-Sensitive Intervention Mining for Grid-Interactive Power Electronics |
| 3F | Area B | P2-3B-043 | Applied Track: Scientific, industrial and enterprise AI | DM1869 | RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation |
| 3F | Area B | P2-3B-044 | Applied Track: Scientific, industrial and enterprise AI | DM517 | Learning from Imperfect Multi-source Estimates: Day-Ahead Regional Wind Power Forecasting in Evolving Systems |
| 3F | Area B | P2-3B-045 | Applied Track: Scientific, industrial and enterprise AI | DM674 | Source-reference Guided Selective Rectification for Source-free Time-series Classification |
| 3F | Area B | P2-3B-046 | Applied Track: Scientific, industrial and enterprise AI | DM857 | HyperCP: Hyperedge-Aware Conformal Prediction for Supply-Chain Forecasting |
| 3F | Area B | P2-3B-047 | Applied Track: Scientific, industrial and enterprise AI | DM1149 | FREIGHT-MNet: A Public Multimodal Benchmark for Cold-Start Freight OD Travel-Time Risk |
| 3F | Area B | P2-3B-048 | Applied Track: Scientific, industrial and enterprise AI | DM356 | FSLNet: Episodic Few-Shot Adaptation for Industrial Recommender Systems |
| 3F | Area B | P2-3B-049 | Applied Track: Scientific, industrial and enterprise AI | DM381 | A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting |
| 3F | Area B | P2-3B-050 | LLM-driven data mining and heterogeneous learning | DM932 | MELD: Distilling Zero-Shot Priors of LLMs into Efficient Heterogeneous Models for Tabular Classification |
| 3F | Area B | P2-3B-051 | LLM-driven data mining and heterogeneous learning | DM1017 | Latency-Constrained Adaptive Query Planning for Multi-LLM Information Extraction |
| 3F | Area B | P2-3B-052 | LLM-driven data mining and heterogeneous learning | DM1055 | From Prompt to Perturbation': An Adaptive Framework for Voice-Based Jailbreaks on Audio LLMs |
| 3F | Area B | P2-3B-053 | LLM-driven data mining and heterogeneous learning | DM1198 | Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering |
| 3F | Area B | P2-3B-054 | LLM-driven data mining and heterogeneous learning | DM1339 | FinShield: LLM-Powered Deployable Financial Fraud Detection |
| 3F | Area B | P2-3B-055 | LLM-driven data mining and heterogeneous learning | DM1833 | L-GRAFT: GraphRAG-Guided Communication Topology Learning for Multi-Agent Reinforcement Learning |
| 3F | Area B | P2-3B-056 | LLM-driven data mining and heterogeneous learning | DM488 | CoMAG: Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs |
| 3F | Area B | P2-3B-057 | LLM-driven data mining and heterogeneous learning | DM724 | Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts |
| 3F | Area B | P2-3B-058 | LLM-driven data mining and heterogeneous learning | DM2000 | ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings |
| 3F | Area B | P2-3B-059 | LLM-driven data mining and heterogeneous learning | DM1209 | SCOPE: Evidence-Guided Sufficient Context Mining for Repository-Level Program Repair |
| 3F | Area B | P2-3B-060 | LLM-driven data mining and heterogeneous learning | DM1345 | TRACER: An LLM-based Coarse-to-Fine Framework for Adaptive Network Traffic Classification |
| 3F | Area B | P2-3B-061 | Heterogeneous data mining and multimodal learning II | DM621 | Structural Entropy Guided Hyperedge Prediction |
| 3F | Area B | P2-3B-062 | Heterogeneous data mining and multimodal learning II | DM1326 | AutoDD: Learning to Select Drift Detectors for Evolving Data Streams |
| 3F | Area B | P2-3B-063 | Heterogeneous data mining and multimodal learning II | DM441 | Beyond Absolute Scoring: Scalable Curation of Text-Rich Creatives via Budgeted Anchor-Calibrated Preferences |
| 3F | Area B | P2-3B-064 | Heterogeneous data mining and multimodal learning II | DM1884 | A-CoRe: Aligning Generative Universal Multimodal Retrieval with Contrastive Reasoning |
| 3F | Area B | P2-3B-065 | Heterogeneous data mining and multimodal learning II | DM1712 | GeoM-RAG: Geometry-Aware Multimodal Evidence Mining for Long-Video Retrieval Augmentation |
| 3F | Area B | P2-3B-066 | Heterogeneous data mining and multimodal learning II | DM1796 | Privacy-Preserving Multi-View Healthcare Data Imputation via Adaptive Diffusion |
| 3F | Area B | P2-3B-067 | Heterogeneous data mining and multimodal learning II | DM1889 | MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection |
| 3F | Area B | P2-3B-068 | Heterogeneous data mining and multimodal learning II | DM2050 | VISTA: Vision-First Multimodal Mining for Emotion Recognition from Text-Sparse Social Media Stickers |
| 3F | Area B | P2-3B-069 | Heterogeneous data mining and multimodal learning II | DM2075 | EnTRA: Towards Knowledge-Augmented Temporal Retrieval and Cross-Modality Alignment for Energy Market Forecasting |
| 3F | Area B | P2-3B-070 | Heterogeneous data mining and multimodal learning II | DM1950 | TDReasoning: An Efficient Top-Down Reasoning Framework for LLM Reasoning on KG |
| 3F | Area B | P2-3B-071 | Heterogeneous data mining and multimodal learning II | DM650 | Dual-View Relation-aware Hypergraph Learning for Multi-step Scholar Impact Prediction |
| 3F | Area B | P2-3B-072 | Heterogeneous data mining and multimodal learning II | DM2067 | ROS-GAD: Reliable Open-Set Graph Anomaly Detection via Prompt Learning and Conformal Prediction |
| 3F | Area B | P2-3B-073 | LLM-driven data mining and novel applications II | DM276 | Support-Compatible Graph Construction for Local Geometric Anomaly Retrieval |
| 3F | Area B | P2-3B-074 | LLM-driven data mining and novel applications II | DM1246 | Feature Selection for Trajectory Inference |
| 3F | Area B | P2-3B-075 | LLM-driven data mining and novel applications II | DM1117 | SADAER: Scalable Attention Diffusion Framework for Multi-task Abnormal EEG Recognition |
| 3F | Area B | P2-3B-076 | LLM-driven data mining and novel applications II | DM1363 | SafeCI-18: A Benchmark for Multimodal Large Language Model Safety Evaluation in Critical Infrastructure Scenarios |
| 3F | Area B | P2-3B-077 | LLM-driven data mining and novel applications II | DM1445 | Recalibrating Visual GEO: Anchor-Decoupled Evaluation and a Transfer Probe |
| 3F | Area B | P2-3B-078 | LLM-driven data mining and novel applications II | DM721 | FSEM: Frequency-Semantic Evidence Mining for AI-Generated Image Detection under Distribution Shift |
| 3F | Area B | P2-3B-079 | LLM-driven data mining and novel applications II | DM937 | Identifying the Group to Intervene on to Maximize Effect Under Cross-Group Interference |
| 3F | Area B | P2-3B-080 | LLM-driven data mining and novel applications II | DM973 | Curriculum Learning Enhanced Dual-Geometric Graph Anomaly Representation Learning |
| 3F | Area C | P2-3C-081 | LLM-driven data mining and novel applications II | DM1250 | AutoDSC: Automated Algorithm Selection and Tuning for Non-Stationary Data Stream Clustering |
| 3F | Area C | P2-3C-082 | LLM-driven data mining and novel applications I | DM1523 | CAGER: Class-Aware Graph Edge Reweighting for Short Text Classification |
| 3F | Area C | P2-3C-083 | LLM-driven data mining and novel applications II | DM1976 | AFS: Affinity-aware Fast Streaming Graph Partitioning Algorithm |
| 3F | Area C | P2-3C-084 | LLM-driven data mining and novel applications II | DM756 | Robust Knowledge Graph-based Patent Clustering via Local Semantic Restoration |
| 3F | Area C | P2-3C-085 | Applied Track: Real-world AI in finance, healthcare and industry II | DM1022 | Beyond Bidding Agents: A Dual-Role Multi-Agent Framework with Dynamic Reserve Pricing for Auto-Bidding Auctions |
| 3F | Area C | P2-3C-086 | Applied Track: Real-world AI in finance, healthcare and industry II | DM1175 | Highway Accident Severity Prediction in a Large-Scale Real-World Evolving Data Stream |
| 3F | Area C | P2-3C-087 | Applied Track: Real-world AI in finance, healthcare and industry II | DM1985 | Are Foundation Models Ready for Rock Fragmentation? A Multi-Domain Benchmark Across the Mining Lifecycle |
| 3F | Area C | P2-3C-088 | Applied Track: Real-world AI in finance, healthcare and industry II | DM2001 | BiGSyn: A Bi-Level Heterogeneous Graph Contrastive Learning Framework for Interpretable Drug Synergy Prediction |
| 3F | Area C | P2-3C-089 | Applied Track: Real-world AI in finance, healthcare and industry II | DM2080 | Event-Type Propagation Graphs: A Lag-Aware Layer for Predictive Financial Analysis |
| 3F | Area C | P2-3C-090 | Applied Track: Real-world AI in finance, healthcare and industry II | DM2144 | From \`\`Who Is This User?'' to \`\`What Does This Purchase Mean?'': A Deployed Pipeline for Semantic User Profiling at Bank Scale |
| 3F | Area C | P2-3C-091 | Applied Track: Real-world AI in finance, healthcare and industry II | DM2173 | LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics |
| 3F | Area C | P2-3C-092 | Applied Track: Real-world AI in finance, healthcare and industry II | DM253 | A3-MSI: Traveltime-Dominated Asymmetric Multimodal Seismic Inversion with Early-arrival Waveforms |
| 3F | Area C | P2-3C-093 | Applied Track: Real-world AI in finance, healthcare and industry II | DM874 | How Small Can You Go? LoRA Fine-Tuning 270M–8B Models for Merchant Information Extraction in Financial Transactions |
| 3F | Area C | P2-3C-094 | Applied Track: Real-world AI in finance, healthcare and industry II | DM1257 | FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting |